Agent-based and Multi-agent Systems
Certified Policy Verification and Synthesis for MDPs under Distributional Reach-Avoidance Properties
S. Akshay, Krishnendu Chatterjee, Tobias Meggendorfer, Đorđe Žikelić
Truth Table Net: Scalable, Compact & Verifiable Neural Networks with a Dual Convolutional Small Boolean Circuit Networks Form
Adrien Benamira, Thomas Peyrin, Trevor Yap, Tristan Guérand, Bryan Hooi
AutoAgents: A Framework for Automatic Agent Generation
Guangyao Chen, Siwei Dong, Yu Shu, Ge Zhang, Jaward Sesay, Börje Karlsson, Jie Fu, Yemin Shi
PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning
Yiqun Chen, Hangyu Mao, Jiaxin Mao, Shiguang Wu, Tianle Zhang, Bin Zhang, Wei Yang, Hongxing Chang
Learning Translations: Emergent Communication Pretraining for Cooperative Language Acquisition
Dylan Cope, Peter McBurney
Improving Multi-agent Reinforcement Learning with Stable Prefix Policy
Yue Deng, Zirui Wang, Yin Zhang
Scalable Mechanism Design for Multi-Agent Path Finding
Paul Friedrich, Yulun Zhang, Michael Curry, Ludwig Dierks, Stephen McAleer, Jiaoyang Li, Tuomas Sandholm, Sven Seuken
Endogenous Energy Reactive Modules Games: Modelling Side Payments among Resource-Bounded Agents
Julian Gutierrez, David Hyland, Muhammad Najib, Giuseppe Perelli, Michael Wooldridge
Parameterized Complexity of Kidney Exchange Revisited
Úrsula Hébert-Johnson, Daniel Lokshtanov, Chinmay Sonar, Vaishali Surianarayanan
CompetEvo: Towards Morphological Evolution from Competition
Kangyao Huang, Di Guo, Xinyu Zhang, Xiangyang Ji, Huaping Liu
X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement Learner
Haoyuan Jiang, Ziyue Li, Hua Wei, Xuantang Xiong, Jingqing Ruan, Jiaming Lu, Hangyu Mao, Rui Zhao
Formal Verification of Parameterised Neural-symbolic Multi-agent Systems
Panagiotis Kouvaros, Elena Botoeva, Cosmo De Bonis-Campbell
To Promote Full Cooperation in Social Dilemmas, Agents Need to Unlearn Loyalty
Chin-wing Leung, Tom Lenaerts, Paolo Turrini
STAR: Spatio-Temporal State Compression for Multi-Agent Tasks with Rich Observations
Chao Li, Yujing Hu, Shangdong Yang, Tangjie Lv, Changjie Fan, Wenbin Li, Chongjie Zhang, Yang Gao
MuEP: A Multimodal Benchmark for Embodied Planning with Foundation Models
Kanxue Li, Baosheng Yu, Qi Zheng, Yibing Zhan, Yuhui Zhang, Tianle Zhang, Yijun Yang, Yue Chen, Lei Sun, Qiong Cao, Li Shen, Lusong Li, Dapeng Tao, Xiaodong He
Self-adaptive PSRO: Towards an Automatic Population-based Game Solver
Pengdeng Li, Shuxin Li, Chang Yang, Xinrun Wang, Xiao Huang, Hau Chan, Bo An
A Meta-Game Evaluation Framework for Deep Multiagent Reinforcement Learning
Zun Li, Michael P. Wellman
Fraud Risk Mitigation in Real-Time Payments: A Strategic Agent-Based Analysis
Katherine Mayo, Nicholas Grabill, Michael P. Wellman
Diversifying Training Pool Predictability for Zero-shot Coordination: A Theory of Mind Approach
Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran
Individual Fairness under Group Fairness Constraints in Bipartite Matching - One Framework to Approximate Them All
Atasi Panda, Anand Louis, Prajakta Nimbhorkar
Safety Constrained Multi-Agent Reinforcement Learning for Active Voltage Control
Yang Qu, Jinming Ma, Feng Wu
Enhancing Cooperation through Selective Interaction and Long-term Experiences in Multi-Agent Reinforcement Learning
Tianyu Ren, Xiao-Jun Zeng
Langshaw: Declarative Interaction Protocols Based on Sayso and Conflict
Munindar P. Singh, Samuel H. Christie V., Amit K. Chopra
Fostering Collective Action in Complex Societies Using Community-Based Agents
Jonathan Skaggs, Michael Richards, Melissa Morris, Michael A. Goodrich, Jacob W. Crandall
Learning Fair Cooperation in Mixed-Motive Games with Indirect Reciprocity
Martin Smit, Fernando P. Santos
Cooperation and Control in Delegation Games
Oliver Sourbut, Lewis Hammond, Harriet Wood
Faster Optimal Coalition Structure Generation via Offline Coalition Selection and Graph-Based Search
Redha Taguelmimt, Samir Aknine, Djamila Boukredera, Narayan Changder, Tuomas Sandholm
MGCBS: An Optimal and Efficient Algorithm for Solving Multi-Goal Multi-Agent Path Finding Problem
Mingkai Tang, Yuanhang Li, Hongji Liu, Yingbing Chen, Ming Liu, Lujia Wang
Design a Win-Win Strategy That Is Fair to Both Service Providers and Tasks When Rejection Is Not an Option
Yohai Trabelsi, Pan Xu, Sarit Kraus
Reinforcement Nash Equilibrium Solver
Xinrun Wang, Chang Yang, Shuxin Li, Pengdeng Li, Xiao Huang, Hau Chan, Bo An
A Successful Strategy for Multichannel Iterated Prisoner’s Dilemma
Zhen Wang, Zhaoheng Cao, Juan Shi, Peican Zhu, Shuyue Hu, Chen Chu
Population-Based Diverse Exploration for Sparse-Reward Multi-Agent Tasks
Pei Xu, Junge Zhang, Kaiqi Huang
Intention Progression with Temporally Extended Goals
Yuan Yao, Natasha Alechina, Brian Logan
ADMN: Agent-Driven Modular Network for Dynamic Parameter Sharing in Cooperative Multi-Agent Reinforcement Learning
Yang Yu, Qiyue Yin, Junge Zhang, Pei Xu, Kaiqi Huang
Guidance Graph Optimization for Lifelong Multi-Agent Path Finding
Yulun Zhang, He Jiang, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li
Towards a Pretrained Model for Restless Bandits via Multi-arm Generalization
Yunfan Zhao, Nikhil Behari, Edward Hughes, Edwin Zhang, Dheeraj Nagaraj, Karl Tuyls, Aparna Taneja, Milind Tambe
Computer Vision
Bring Metric Functions into Diffusion Models
Jie An, Zhengyuan Yang, Jianfeng Wang, Linjie Li, Zicheng Liu, Lijuan Wang, Jiebo Luo
Attention Shifting to Pursue Optimal Representation for Adapting Multi-granularity Tasks
Gairui Bai, Wei Xi, Yihan Zhao, Xinhui Liu, Jizhong Zhao
SGDCL: Semantic-Guided Dynamic Correlation Learning for Explainable Autonomous Driving
Chengtai Cao, Xinhong Chen, Jianping Wang, Qun Song, Rui Tan, Yung-Hui Li
MLP-DINO: Category Modeling and Query Graphing with Deep MLP for Object Detection
Guiping Cao, Wenjian Huang, Xiangyuan Lan, Jianguo Zhang, Dongmei Jiang, Yaowei Wang
CoAtFormer: Vision Transformer with Composite Attention
Zhiyong Chang, Mingjun Yin, Yan Wang
Enhancing Cross-Modal Retrieval via Visual-Textual Prompt Hashing
Bingzhi Chen, Zhongqi Wu, Yishu Liu, Biqing Zeng, Guangming Lu, Zheng Zhang
Evolutionary Generalized Zero-Shot Learning
Dubing Chen, Chenyi Jiang, Haofeng Zhang
Cross-Domain Few-Shot Semantic Segmentation via Doubly Matching Transformation
Jiayi Chen, Rong Quan, Jie Qin
Bridging LiDAR Gaps: A Multi-LiDARs Domain Adaptation Dataset for 3D Semantic Segmentation
Shaoyang Chen, Bochun Yang, Yan Xia, Ming Cheng, Siqi Shen, Cheng Wang
A Transformer-Based Adaptive Prototype Matching Network for Few-Shot Semantic Segmentation
Sihan Chen, Yadang Chen, Yuhui Zheng, Zhi-Xin Yang, Enhua Wu
D3ETR: Decoder Distillation for Detection Transformer
Xiaokang Chen, Jiahui Chen, Yan Liu, Jiaxiang Tang, Gang Zeng
EVE: Efficient Zero-Shot Text-Based Video Editing With Depth Map Guidance and Temporal Consistency Constraints
Yutao Chen, Xingning Dong, Tian Gan, Chunluan Zhou, Ming Yang, Qingpei Guo
MetaISP: Efficient RAW-to-sRGB Mappings with Merely 1M Parameters
Zigeng Chen, Chaowei Liu, Yuan Yuan, Michael Bi Mi, Xinchao Wang
Denoising Diffusion-Augmented Hybrid Video Anomaly Detection via Reconstructing Noised Frames
Kai Cheng, Yaning Pan, Yang Liu, Xinhua Zeng, Rui Feng
Imperio: Language-Guided Backdoor Attacks for Arbitrary Model Control
Ka-Ho Chow, Wenqi Wei, Lei Yu
Fast One-Stage Unsupervised Domain Adaptive Person Search
Tianxiang Cui, Huibing Wang, Jinjia Peng, Ruoxi Deng, Xianping Fu, Yang Wang
Hybrid Frequency Modulation Network for Image Restoration
Yuning Cui, Mingyu Liu, Wenqi Ren, Alois Knoll
FreqFormer: Frequency-aware Transformer for Lightweight Image Super-resolution
Tao Dai, Jianping Wang, Hang Guo, Jinmin Li, Jinbao Wang, Zexuan Zhu
Bridging Generative and Discriminative Models for Unified Visual Perception with Diffusion Priors
Shiyin Dong, Mingrui Zhu, Kun Cheng, Nannan Wang, Xinbo Gao
Unified Physical-Digital Face Attack Detection
Hao Fang, Ajian Liu, Haocheng Yuan, Junze Zheng, Dingheng Zeng, Yanhong Liu, Jiankang Deng, Sergio Escalera, Xiaoming Liu, Jun Wan, Zhen Lei
CF-Deformable DETR: An End-to-End Alignment-Free Model for Weakly Aligned Visible-Infrared Object Detection
Haolong Fu, Jin Yuan, Guojin Zhong, Xuan He, Jiacheng Lin, Zhiyong Li
Self-Supervised Pre-training with Symmetric Superimposition Modeling for Scene Text Recognition
Zuan Gao, Yuxin Wang, Yadong Qu, Boqiang Zhang, Zixiao Wang, Jianjun Xu, Hongtao Xie
A Dataset and Model for Realistic License Plate Deblurring
Haoyan Gong, Yuzheng Feng, Zhenrong Zhang, Xianxu Hou, Jingxin Liu, Siqi Huang, Hongbin Liu
Cross-Scale Domain Adaptation with Comprehensive Information for Pansharpening
Meiqi Gong, Hao Zhang, Hebaixu Wang, Jun Chen, Jun Huang, Xin Tian, Jiayi Ma
Enhancing Cross-modal Completion and Alignment for Unsupervised Incomplete Text-to-Image Person Retrieval
Tiantian Gong, Junsheng Wang, Liyan Zhang
TSESNet: Temporal-Spatial Enhanced Breast Tumor Segmentation in DCE-MRI Using Feature Perception and Separability
Jiezhou He, Xue Zhao, Zhiming Luo, Songzhi Su, Shaozi Li, Guojun Zhang
UniM-OV3D: Uni-Modality Open-Vocabulary 3D Scene Understanding with Fine-Grained Feature Representation
Qingdong He, Jinlong Peng, Zhengkai Jiang, Kai Wu, Xiaozhong Ji, Jiangning Zhang, Yabiao Wang, Chengjie Wang, Mingang Chen, Yunsheng Wu
A Lightweight U-like Network Utilizing Neural Memory Ordinary Differential Equations for Slimming the Decoder
Quansong He, Xiaojun Yao, Jun Wu, Zhang Yi, Tao He
CMMU: A Benchmark for Chinese Multi-modal Multi-type Question Understanding and Reasoning
Zheqi He, Xinya Wu, Pengfei Zhou, Richeng Xuan, Guang Liu, Xi Yang, Qiannan Zhu, Hua Huang
Why Only Text: Empowering Vision-and-Language Navigation with Multi-modal Prompts
Haodong Hong, Sen Wang, Zi Huang, Qi Wu, Jiajun Liu
Improving Adversarial Robustness via Feature Pattern Consistency Constraint
Jiacong Hu, Jingwen Ye, Zunlei Feng, Jiazhen Yang, Shunyu Liu, Xiaotian Yu, Lingxiang Jia, Mingli Song
Hundred-Kilobyte Lookup Tables for Efficient Single-Image Super-Resolution
Binxiao Huang, Jason Chun Lok Li, Jie Ran, Boyu Li, Jiajun Zhou, Dahai Yu, Ngai Wong
Long Short-Term Dynamic Prototype Alignment Learning for Video Anomaly Detection
Chao Huang, Jie Wen, Chengliang Liu, Yabo Liu
Eliminating the Cross-Domain Misalignment in Text-guided Image Inpainting
Muqi Huang, Chaoyue Wang, Yong Luo, Lefei Zhang
Rethinking Correlation Learning via Label Prior for Open Set Domain Adaptation
Zi-Xian Huang, Chuan-Xian Ren
PPTFormer: Pseudo Multi-Perspective Transformer for UAV Segmentation
Deyi Ji, Wenwei Jin, Hongtao Lu, Feng Zhao
Dual Enhancement in ODI Super-Resolution: Adapting Convolution and Upsampling to Projection Distortion
Xiang Ji, Changqiao Xu, Lujie Zhong, Shujie Yang, Han Xiao, Gabriel-Miro Muntean
Revealing the Two Sides of Data Augmentation: An Asymmetric Distillation-based Win-Win Solution for Open-Set Recognition
Yunbing Jia, Xiaoyu Kong, Fan Tang, Yixing Gao, Weiming Dong, Yi Yang
M2Beats: When Motion Meets Beats in Short-form Videos
Dongxiang Jiang, Yongchang Zhang, Shuai He, Anlong Ming
LeMeViT: Efficient Vision Transformer with Learnable Meta Tokens for Remote Sensing Image Interpretation
Wentao Jiang, Jing Zhang, Di Wang, Qiming Zhang, Zengmao Wang, Bo Du
Scene-Adaptive Person Search via Bilateral Modulations
Yimin Jiang, Huibing Wang, Jinjia Peng, Xianping Fu, Yang Wang
TFLOP: Table Structure Recognition Framework with Layout Pointer Mechanism
Minsoo Khang, Teakgyu Hong
IntensPure: Attack Intensity-aware Secondary Domain Adaptive Diffusion for Adversarial Purification
Eun-Gi Lee, Moon Seok Lee, Jae Hyun Yoon, Seok Bong Yoo
Bridging Stereo Geometry and BEV Representation with Reliable Mutual Interaction for Semantic Scene Completion
Bohan Li, Yasheng Sun, Zhujin Liang, Dalong Du, Zhuanghui Zhang, Xiaofeng Wang, Yunnan Wang, Xin Jin, Wenjun Zeng
A Coarse-to-Fine Fusion Network for Event-Based Image Deblurring
Huan Li, Hailong Shi, Xingyu Gao
Invertible Residual Rescaling Models
Jinmin Li, Tao Dai, Yaohua Zha, Yilu Luo, Longfei Lu, Bin Chen, Zhi Wang, Shu-Tao Xia, Jingyun Zhang
Boundary-aware Decoupled Flow Networks for Realistic Extreme Rescaling
Jinmin Li, Tao Dai, Jingyun Zhang, Kang Liu, Jun Wang, Shaoming Wang, Shu-Tao Xia, Rizen Guo
Probabilistic Contrastive Learning for Domain Adaptation
Junjie Li, Yixin Zhang, Zilei Wang, Saihui Hou, Keyu Tu, Man Zhang
OTOcc: Optimal Transport for Occupancy Prediction
Pengteng Li, Ying He, F. Richard Yu, Pinhao Song, Xingchen Zhou, Guang Zhou
DenseKoopman: A Plug-and-Play Framework for Dense Pedestrian Trajectory Prediction
Xianbang Li, Yilong Ren, Han Jiang, Haiyang Yu, Yanlei Cui, Liang Xu
Revitalizing Real Image Deraining via a Generic Paradigm towards Multiple Rainy Patterns
Xin Li, Yuxin Feng, Fan Zhou, Yun Liang, Zhuo Su
WSRFNet: Wavelet-Based Scale-Specific Recurrent Feedback Network for Diabetic Retinopathy Lesion Segmentation
Xuan Li, Xiangqian Wu
Cross-modal Generation and Alignment via Attribute-guided Prompt for Unsupervised Text-based Person Retrieval
Zongyi Li, Jianbo Li, Yuxuan Shi, Hefei Ling, Jiazhong Chen, Runsheng Wang, Shijuan Huang
Advancing Medical Image Segmentation via Self-supervised Instance-adaptive Prototype Learning
Guoyan Liang, Qin Zhou, Jingyuan Chen, Zhe Wang, Chang Yao
GUIDE: A Guideline-Guided Dataset for Instructional Video Comprehension
Jiafeng Liang, Shixin Jiang, Zekun Wang, Haojie Pan, Zerui Chen, Zheng Chu, Ming Liu, Ruiji Fu, Zhongyuan Wang, Bing Qin
Efficient Event Stream Super-Resolution with Recursive Multi-Branch Fusion
Quanmin Liang, Zhilin Huang, Xiawu Zheng, Feidiao Yang, Jun Peng, Kai Huang, Yonghong Tian
MCM: Multi-condition Motion Synthesis Framework
Zeyu Ling, Bo Han, Yongkang Wong, Han Lin, Mohan Kankanhalli, Weidong Geng
Enhancing Boundary Segmentation for Topological Accuracy with Skeleton-based Methods
Chuni Liu, Boyuan Ma, Xiaojuan Ban, Yujie Xie, Hao Wang, Weihua Xue, Jingchao Ma, Ke Xu
Accelerating Diffusion Models for Inverse Problems through Shortcut Sampling
Gongye Liu, Haoze Sun, Jiayi Li, Fei Yin, Yujiu Yang
Where Elegance Meets Precision: Towards a Compact, Automatic, and Flexible Framework for Multi-modality Image Fusion and Applications
Jinyuan Liu, Guanyao Wu, Zhu Liu, Long Ma, Risheng Liu, Xin Fan
DCDet: Dynamic Cross-based 3D Object Detector
Shuai Liu, Boyang Li, Zhiyu Fang, Kai Huang
DifTraj: Diffusion Inspired by Intrinsic Intention and Extrinsic Interaction for Multi-Modal Trajectory Prediction
Yanghong Liu, Xingping Dong, Yutian Lin, Mang Ye
Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation
Yaohua Liu, Jiaxin Gao, Xuan Liu, Xianghao Jiao, Xin Fan, Risheng Liu
Cross-Domain Feature Augmentation for Domain Generalization
Yingnan Liu, Yingtian Zou, Rui Qiao, Fusheng Liu, Mong Li Lee, Wynne Hsu
C3L: Content Correlated Vision-Language Instruction Tuning Data Generation via Contrastive Learning
Ji Ma, Wei Suo, Peng Wang, Yanning Zhang
Self-Promoted Clustering-based Contrastive Learning for Brain Networks Pretraining
Junbo Ma, Caixuan Luo, Jia Hou, Kai Zhao
FastScene: Text-Driven Fast Indoor 3D Scene Generation via Panoramic Gaussian Splatting
Yikun Ma, Dandan Zhan, Zhi Jin
ESP-PCT: Enhanced VR Semantic Performance through Efficient Compression of Temporal and Spatial Redundancies in Point Cloud Transformers
Luoyu Mei, Shuai Wang, Yun Cheng, Ruofeng Liu, Zhimeng Yin, Wenchao Jiang, Shuai Wang, Wei Gong
SEMv3: A Fast and Robust Approach to Table Separation Line Detection
Chunxia Qin, Zhenrong Zhang, Pengfei Hu, Chenyu Liu, Jiefeng Ma, Jun Du
EvaNet: Elevation-Guided Flood Extent Mapping on Earth Imagery
Mirza Tanzim Sami, Da Yan, Saugat Adhikari, Lyuheng Yuan, Jiao Han, Zhe Jiang, Jalal Khalil, Yang Zhou
Efficient Screen Content Image Compression via Superpixel-based Content Aggregation and Dynamic Feature Fusion
Sheng Shen, Huanjing Yue, Jingyu Yang
Contrastive Transformer Masked Image Hashing for Degraded Image Retrieval
Xiaobo Shen, Haoyu Cai, Xiuwen Gong, Yuhui Zheng
Contrastive Transformer Cross-Modal Hashing for Video-Text Retrieval
Xiaobo Shen, Qianxin Huang, Long Lan, Yuhui Zheng
Conflict-Alleviated Gradient Descent for Adaptive Object Detection
Wenxu Shi, Bochuan Zheng
Motion-Aware Heatmap Regression for Human Pose Estimation in Videos
Inpyo Song, Jongmin Lee, Moonwook Ryu, Jangwon Lee
Learning a Spiking Neural Network for Efficient Image Deraining
Tianyu Song, Guiyue Jin, Pengpeng Li, Kui Jiang, Xiang Chen, Jiyu Jin
SPGNet: A Shape-prior Guided Network for Medical Image Segmentation
Zhengxuan Song, Xun Liu, Wenhao Zhang, Yongyi Gong, Tianyong Hao, Kun Zeng
RoboFusion: Towards Robust Multi-Modal 3D Object Detection via SAM
Ziying Song, Guoxing Zhang, Lin Liu, Lei Yang, Shaoqing Xu, Caiyan Jia, Feiyang Jia, Li Wang
A Consistency and Integration Model with Adaptive Thresholds for Weakly Supervised Object Localization
Hao Su, Meng Yang
CLR-Face: Conditional Latent Refinement for Blind Face Restoration Using Score-Based Diffusion Models
Maitreya Suin, Rama Chellappa
FineFMPL: Fine-grained Feature Mining Prompt Learning for Few-Shot Class Incremental Learning
Hongbo Sun, Jiahuan Zhou, Xiangteng He, Jinglin Xu, Yuxin Peng
Who Looks like Me: Semantic Routed Image Harmonization
Jinsheng Sun, Chao Yao, Xiaokun Wang, Yu Guo, Yalan Zhang, Xiaojuan Ban
Dynamic Brightness Adaptation for Robust Multi-modal Image Fusion
Yiming Sun, Bing Cao, Pengfei Zhu, Qinghua Hu
Multi-Granularity Graph-Convolution-Based Method for Weakly Supervised Person Search
Haichun Tai, De Cheng, Jie Li, Nannan Wang, Xinbo Gao
Expressiveness is Effectiveness: Self-supervised Fashion-aware CLIP for Video-to-Shop Retrieval
Likai Tian, Zhengwei Yang, Zechao Hu, Hao Li, Yifang Yin, Zheng Wang
Image Retrieval with Self-Supervised Divergence Minimization and Cross-Attention Classification
Vivek Trivedy, Longin Jan Latecki
OSIC: A New One-Stage Image Captioner Coined
Bo Wang, Zhao Zhang, Mingbo Zhao, Xiaojie Jin, Mingliang Xu, Meng Wang
FLDM-VTON: Faithful Latent Diffusion Model for Virtual Try-on
Chenhui Wang, Tao Chen, Zhihao Chen, Zhizhong Huang, Taoran Jiang, Qi Wang, Hongming Shan
Explore Internal and External Similarity for Single Image Deraining with Graph Neural Networks
Cong Wang, Wei Wang, Chengjin Yu, Jie Mu
Error-aware Sampling in Adaptive Shells for Neural Surface Reconstruction
Qi Wang, Yuchi Huo, Qi Ye, Rui Wang, Hujun Bao
How to Learn Domain-Invariant Representations for Visual Reinforcement Learning: An Information-Theoretical Perspective
Shuo Wang, Zhihao Wu, Jinwen Wang, Xiaobo Hu, Youfang Lin, Kai Lv
Label-efficient Semantic Scene Completion with Scribble Annotations
Song Wang, Jiawei Yu, Wentong Li, Hao Shi, Kailun Yang, Junbo Chen, Jianke Zhu
Optimal Graph Learning and Nuclear Norm Maximization for Deep Cross-Domain Robust Label Propagation
Wei Wang, Hanyang Li, Ke Shi, Chao Huang, Yang Cao, Cong Wang, Xiaochun Cao
Boosting Diffusion Models with an Adaptive Momentum Sampler
Xiyu Wang, Anh-Dung Dinh, Daochang Liu, Chang Xu
Structure-Aware Spatial-Temporal Interaction Network for Video Shadow Detection
Housheng Wei, Guanyu Xing, Jingwei Liao, Yanci Zhang, Yanli Liu
PointTFA: Training-Free Clustering Adaption for Large 3D Point Cloud Models
Jinmeng Wu, Chong Cao, Hao Zhang, Basura Fernando, Yanbin Hao, Hanyu Hong
OD-DETR: Online Distillation for Stabilizing Training of Detection Transformer
Shengjian Wu, Li Sun, Qingli Li
ELF-UA: Efficient Label-Free User Adaptation in Gaze Estimation
Yong Wu, Yang Wang, Sanqing Qu, Zhijun Li, Guang Chen
KTCN: Enhancing Open-World Object Detection with Knowledge Transfer and Class-Awareness Neutralization
Xing Xi, Yangyang Huang, Jinhao Lin, Ronghua Luo
Unified Single-Stage Transformer Network for Efficient RGB-T Tracking
Jianqiang Xia, Dianxi Shi, Ke Song, Linna Song, Xiaolei Wang, Songchang Jin, Chenran Zhao, Yu Cheng, Lei Jin, Zheng Zhu, Jianan Li, Gang Wang, Junliang Xing, Jian Zhao
Aggregation and Purification: Dual Enhancement Network for Point Cloud Few-shot Segmentation
Guoxin Xiong, Yuan Wang, Zhaoyang Li, Wenfei Yang, Tianzhu Zhang, Xu Zhou, Shifeng Zhang, Yongdong Zhang
Beyond Alignment: Blind Video Face Restoration via Parsing-Guided Temporal-Coherent Transformer
Kepeng Xu, Li Xu, Gang He, Wenxin Yu, Yunsong Li
Negative Prompt Driven Complementary Parallel Representation for Open-World 3D Object Retrieval
Yang Xu, Yifan Feng, Yue Gao
Learning Spatial Similarity Distribution for Few-shot Object Counting
Yuanwu Xu, Feifan Song, Haofeng Zhang
ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition
Mengqi Xue, Qihan Huang, Haofei Zhang, Jingwen Hu, Jie Song, Mingli Song, Canghong Jin
DFMDA-Net: Dense Fusion and Multi-dimension Aggregation Network for Image Restoration
Huibin Yan, Shuoyao Wang
DTS-TPT: Dual Temporal-Sync Test-time Prompt Tuning for Zero-shot Activity Recognition
Rui Yan, Hongyu Qu, Xiangbo Shu, Wenbin Li, Jinhui Tang, Tieniu Tan
Reschedule Diffusion-based Bokeh Rendering
Shiyue Yan, Xiaoshi Qiu, Qingmin Liao, Jing-Hao Xue, Shaojun Liu
3D Vision and Language Pretraining with Large-Scale Synthetic Data
Dejie Yang, Zhu Xu, Wentao Mo, Qingchao Chen, Siyuan Huang, Yang Liu
Self-Supervised Monocular Depth Estimation in the Dark: Towards Data Distribution Compensation
Haolin Yang, Chaoqiang Zhao, Lu Sheng, Yang Tang
Fusion from a Distributional Perspective: A Unified Symbiotic Diffusion Framework for Any Multisource Remote Sensing Data Classification
Teng Yang, Song Xiao, Wenqian Dong, Jiahui Qu, Yueguang Yang
DiffStega: Towards Universal Training-Free Coverless Image Steganography with Diffusion Models
Yiwei Yang, Zheyuan Liu, Jun Jia, Zhongpai Gao, Yunhao Li, Wei Sun, Xiaohong Liu, Guangtao Zhai
1DFormer: A Transformer Architecture Learning 1D Landmark Representations for Facial Landmark Tracking
Shi Yin, Shijie Huang, Shangfei Wang, Jinshui Hu, Tao Guo, Bing Yin, Baocai Yin, Cong Liu
Spear: Evaluate the Adversarial Robustness of Compressed Neural Models
Chong Yu, Tao Chen, Zhongxue Gan, Jiayuan Fan
Hundredfold Accelerating for Pathological Images Diagnosis and Prognosis through Self-reform Critical Region Focusing
Xiaotian Yu, Haoming Luo, Jiacong Hu, Xiuming Zhang, Yuexuan Wang, Wenjie Liang, Yijun Bei, Mingli Song, Zunlei Feng
Unified Unsupervised Salient Object Detection via Knowledge Transfer
Yao Yuan, Wutao Liu, Pan Gao, Qun Dai, Jie Qin
CIC: A Framework for Culturally-Aware Image Captioning
Youngsik Yun, Jihie Kim
MARS: Multimodal Active Robotic Sensing for Articulated Characterization
Hongliang Zeng, Ping Zhang, Chengjiong Wu, Jiahua Wang, Tingyu Ye, Fang Li
Towards Dynamic-Prompting Collaboration for Source-Free Domain Adaptation
Mengmeng Zhan, Zongqian Wu, Rongyao Hu, Ping Hu, Heng Tao Shen, Xiaofeng Zhu
Diffusion Mask-Driven Visual-language Tracking
Guangtong Zhang, Bineng Zhong, Qihua Liang, Zhiyi Mo, Shuxiang Song
AK4Prompts: Aesthetics-driven Automatically Keywords-Ranking for Prompts in Text-To-Image Models
Haiyang Zhang, Mengchao Wang, Shuai He, Anlong Ming
Detector Collapse: Backdooring Object Detection to Catastrophic Overload or Blindness in the Physical World
Hangtao Zhang, Shengshan Hu, Yichen Wang, Leo Yu Zhang, Ziqi Zhou, Xianlong Wang, Yanjun Zhang, Chao Chen
DANCE: Dual-View Distribution Alignment for Dataset Condensation
Hansong Zhang, Shikun Li, Fanzhao Lin, Weiping Wang, Zhenxing Qian, Shiming Ge
Shap-Mix: Shapley Value Guided Mixing for Long-Tailed Skeleton Based Action Recognition
Jiahang Zhang, Lilang Lin, Jiaying Liu
Sparse Multi-Relational Graph Convolutional Network for Multi-type Object Trajectory Prediction
Jianhui Zhang, Jun Yao, Liqi Yan, Yanhong Xu, Zheng Wang
3DBench: A Scalable 3D Benchmark and Instruction-Tuning Dataset
Junjie Zhang, Tianci Hu, Xiaoshui Huang, Yongshun Gong, Dan Zeng
A Fourier Perspective of Feature Extraction and Adversarial Robustness
Liangqi Zhang, Yihao Luo, Haibo Shen, Tianjiang Wang
Continual Compositional Zero-Shot Learning
Yang Zhang, Songhe Feng, Jiazheng Yuan
GenSeg: On Generating Unified Adversary for Segmentation
Yuxuan Zhang, Zhenbo Shi, Wei Yang, Shuchang Wang, Shaowei Wang, Yinxing Xue
ChatSpot: Bootstrapping Multimodal LLMs via Precise Referring Instruction Tuning
Liang Zhao, En Yu, Zheng Ge, Jinrong Yang, Haoran Wei, Hongyu Zhou, Jianjian Sun, Yuang Peng, Runpei Dong, Chunrui Han, Xiangyu Zhang
Multi-Attention Based Visual-Semantic Interaction for Few-Shot Learning
Peng Zhao, Yin Wang, Wei Wang, Jie Mu, Huiting Liu, Cong Wang, Xiaochun Cao
Focus on the Whole Character: Discriminative Character Modeling for Scene Text Recognition
Bangbang Zhou, Yadong Qu, Zixiao Wang, Zicheng Li, Boqiang Zhang, Hongtao Xie
CoFInAl: Enhancing Action Quality Assessment with Coarse-to-Fine Instruction Alignment
Kanglei Zhou, Junlin Li, Ruizhi Cai, Liyuan Wang, Xingxing Zhang, Xiaohui Liang
Zero-Shot Sketch Based Image Retrieval via Modality Capacity Guidance
Yanghong Zhou, Dawei Liu, P. Y. Mok
Zero-shot High-fidelity and Pose-controllable Character Animation
Bingwen Zhu, Fanyi Wang, Tianyi Lu, Peng Liu, Jingwen Su, Jinxiu Liu, Yanhao Zhang, Zuxuan Wu, Guo-Jun Qi, Yu-Gang Jiang
MISA: MIning Saliency-Aware Semantic Prior for Box Supervised Instance Segmentation
Hao Zhu, Yan Zhu, Jiayu Xiao, Yike Ma, Yucheng Zhang, Jintao Li, Feng Dai
Class-consistent Contrastive Learning Driven Cross-dimensional Transformer for 3D Medical Image Classification
Qikui Zhu, Chuan Fu, Shuo Li
ABM: Attention before Manipulation
Fan Zhuo, Ying He, Fei Yu, Pengteng Li, Zheyi Zhao, Xilong Sun
SceneDiff: Generative Scene-Level Image Retrieval with Text and Sketch Using Diffusion Models
Ran Zuo, Haoxiang Hu, Xiaoming Deng, Cangjun Gao, Zhengming Zhang, Yu-Kun Lai, Cuixia Ma, Yong-Jin Liu, Hongan Wang
CLIP-FSAC: Boosting CLIP for Few-Shot Anomaly Classification with Synthetic Anomalies
Zuo Zuo, Yao Wu, Baoqiang Li, Jiahao Dong, You Zhou, Lei Zhou, Yanyun Qu, Zongze Wu
Data Mining
Automatic De-Biased Temporal-Relational Modeling for Stock Investment Recommendation
Weijun Chen, Shun Li, Xipu Yu, Heyuan Wang, Wei Chen, Tengjiao Wang
Pre-DyGAE: Pre-training Enhanced Dynamic Graph Autoencoder for Occupational Skill Demand Forecasting
Xi Chen, Chuan Qin, Zhigaoyuan Wang, Yihang Cheng, Chao Wang, Hengshu Zhu, Hui Xiong
Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning
Jiewen Deng, Renhe Jiang, Jiaqi Zhang, Xuan Song
DGR: A General Graph Desmoothing Framework for Recommendation via Global and Local Perspectives
Leilei Ding, Dazhong Shen, Chao Wang, Tianfu Wang, Le Zhang, Yanyong Zhang
Real-World Networks Are Low-Dimensional: Theoretical and Practical Assessment
Tobias Friedrich, Andreas Göbel, Maximilian Katzmann, Leon Schiller
Class-Specific Semantic Generation and Reconstruction Learning for Open Set Recognition
Liu Haoyang, Yaojin Lin, Peipei Li, Jun Hu, Xuegang Hu
SVD-AE: Simple Autoencoders for Collaborative Filtering
Seoyoung Hong, Jeongwhan Choi, Yeon-Chang Lee, Srijan Kumar, Noseong Park
Reconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows
Xuanming Hu, Wei Fan, Haifeng Chen, Pengyang Wang, Yanjie Fu
Exploring the Role of Node Diversity in Directed Graph Representation Learning
Jincheng Huang, Yujie Mo, Ping Hu, Xiaoshuang Shi, Shangbo Yuan, Zeyu Zhang, Xiaofeng Zhu
Multiplex Graph Representation Learning via Bi-level Optimization
Yudi Huang, Yujie Mo, Yujing Liu, Ci Nie, Guoqiu Wen, Xiaofeng Zhu
Learning Hierarchy-Enhanced POI Category Representations Using Disentangled Mobility Sequences
Hongwei Jia, Meng Chen, Weiming Huang, Kai Zhao, Yongshun Gong
Hierarchical Reinforcement Learning on Multi-Channel Hypergraph Neural Network for Course Recommendation
Lu Jiang, Yanan Xiao, Xinxin Zhao, Yuanbo Xu, Shuli Hu, Pengyang Wang, Minghao Yin
PHSIC against Random Consistency and Its Application in Causal Inference
Jue Li, Yuhua Qian, Jieting Wang, Saixiong Liu
Zero-shot Learning for Preclinical Drug Screening
Kun Li, Weiwei Liu, Yong Luo, Xiantao Cai, Jia Wu, Wenbin Hu
Contrastive Learning Drug Response Models from Natural Language Supervision
Kun Li, Xiuwen Gong, Jia Wu, Wenbin Hu
LLM-based Multi-Level Knowledge Generation for Few-shot Knowledge Graph Completion
Qian Li, Zhuo Chen, Cheng Ji, Shiqi Jiang, Jianxin Li
Rethinking the Effectiveness of Graph Classification Datasets in Benchmarks for Assessing GNNs
Zhengdao Li, Yong Cao, Kefan Shuai, Yiming Miao, Kai Hwang
Enhancing Dual-Target Cross-Domain Recommendation with Federated Privacy-Preserving Learning
Zhenghong Lin, Wei Huang, Hengyu Zhang, Jiayu Xu, Weiming Liu, Xinting Liao, Fan Wang, Shiping Wang, Yanchao Tan
Large Language Model Guided Knowledge Distillation for Time Series Anomaly Detection
Chen Liu, Shibo He, Qihang Zhou, Shizhong Li, Wenchao Meng
Gradformer: Graph Transformer with Exponential Decay
Chuang Liu, Zelin Yao, Yibing Zhan, Xueqi Ma, Shirui Pan, Wenbin Hu
Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders
Chuang Liu, Yuyao Wang, Yibing Zhan, Xueqi Ma, Dapeng Tao, Jia Wu, Wenbin Hu
Encoding Auxiliary Information to Restore Compressed Point Cloud Geometry
Gexin Liu, Jiahao Zhu, Dandan Ding, Zhan Ma
Fast and Continual Knowledge Graph Embedding via Incremental LoRA
Jiajun Liu, Wenjun Ke, Peng Wang, Jiahao Wang, Jinhua Gao, Ziyu Shang, Guozheng Li, Zijie Xu, Ke Ji, Yining Li
KDDC: Knowledge-Driven Disentangled Causal Metric Learning for Pre-Travel Out-of-Town Recommendation
Yinghui Liu, Guojiang Shen, Chengyong Cui, Zhenzhen Zhao, Xiao Han, Jiaxin Du, Xiangyu Zhao, Xiangjie Kong
Full Bayesian Significance Testing for Neural Networks in Traffic Forecasting
Zehua Liu, Jingyuan Wang, Zimeng Li, Yue He
Graph Contrastive Learning with Reinforcement Augmentation
Ziyang Liu, Chaokun Wang, Cheng Wu
Heterogeneous Graph Transformer with Poly-Tokenization
Zhiyuan Lu, Yuan Fang, Cheng Yang, Chuan Shi
Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning
Kang Luo, Yuanshao Zhu, Wei Chen, Kun Wang, Zhengyang Zhou, Sijie Ruan, Yuxuan Liang
Massively Parallel Single-Source SimRanks in O(log N) Rounds
Siqiang Luo, Zulun Zhu
DGCD: An Adaptive Denoising GNN for Group-level Cognitive Diagnosis
Haiping Ma, Siyu Song, Chuan Qin, Xiaoshan Yu, Limiao Zhang, Xingyi Zhang, Hengshu Zhu
SeeDRec: Sememe-based Diffusion for Sequential Recommendation
Haokai Ma, Ruobing Xie, Lei Meng, Yimeng Yang, Xingwu Sun, Zhanhui Kang
Multi-Modal Sarcasm Detection Based on Dual Generative Processes
Huiying Ma, Dongxiao He, Xiaobao Wang, Di Jin, Meng Ge, Longbiao Wang
Graph Collaborative Expert Finding with Contrastive Learning
Qiyao Peng, Wenjun Wang, Hongtao Liu, Cuiying Huo, Minglai Shao
Seed Selection in the Heterogeneous Moran Process
Petros Petsinis, Andreas Pavlogiannis, Josef Tkadlec, Panagiotis Karras
Counterfactual User Sequence Synthesis Augmented with Continuous Time Dynamic Preference Modeling for Sequential POI Recommendation
Lianyong Qi, Yuwen Liu, Weiming Liu, Shichao Pei, Xiaolong Xu, Xuyun Zhang, Yingjie Wang, Wanchun Dou
Multi-Relational Graph Attention Network for Social Relationship Inference from Human Mobility Data
Guangming Qin, Jianpeng Qi, Bin Wang, Guiyuan Jiang, Yanwei Yu, Junyu Dong
Towards Dynamic Trend Filtering through Trend Point Detection with Reinforcement Learning
Jihyeon Seong, Sekwang Oh, Jaesik Choi
Learning Multi-Granularity and Adaptive Representation for Knowledge Graph Reasoning
Ziyu Shang, Peng Wang, Wenjun Ke, Jiajun Liu, Hailang Huang, Guozheng Li, Chenxiao Wu, Jianghan Liu, Xiye Chen, Yining Li
Unsupervised Deep Graph Structure and Embedding Learning
Xiaobo Shen, Lei Shi, Xiuwen Gong, Shirui Pan
Efficient Correlated Subgraph Searches for AI-powered Drug Discovery
Hiroaki Shiokawa, Yuma Naoi, Shohei Matsugu
Anomaly Subgraph Detection through High-Order Sampling Contrastive Learning
Ying Sun, Wenjun Wang, Nannan Wu, Chunlong Bao
SemanticMask: A Contrastive View Design for Anomaly Detection in Tabular Data
Shuting Tao, Tongtian Zhu, Hongwei Wang, Xiangming Meng
Instance-Level Metalearning for Outlier Detection
Long Vu, Peter Kirchner, Charu C. Aggarwal, Horst Samulowitz
Make Bricks with a Little Straw: Large-Scale Spatio-Temporal Graph Learning with Restricted GPU-Memory Capacity
Binwu Wang, Pengkun Wang, Zhengyang Zhou, Zhe Zhao, Wei Xu, Yang Wang
HeterGCL: Graph Contrastive Learning Framework on Heterophilic Graph
Chenhao Wang, Yong Liu, Yan Yang, Wei Li
FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource Allocation
Tianfu Wang, Qilin Fan, Chao Wang, Long Yang, Leilei Ding, Nicholas Jing Yuan, Hui Xiong
Spatial-Temporal Perceiving: Deciphering User Hierarchical Intent in Session-Based Recommendation
Xiao Wang, Tingting Dai, Qiao Liu, Shuang Liang
Joint Source Localization in Different Platforms via Implicit Propagation Characteristics of Similar Topics
Zhen Wang, Dongpeng Hou, Shu Yin, Chao Gao, Xianghua Li
WeatherGNN: Exploiting Meteo- and Spatial-Dependencies for Local Numerical Weather Prediction Bias-Correction
Binqing Wu, Weiqi Chen, Wengwei Wang, Bingqing Peng, Liang Sun, Ling Chen
Unsupervised Anomaly Detection via Masked Diffusion Posterior Sampling
Di Wu, Shicai Fan, Xue Zhou, Li Yu, Yuzhong Deng, Jianxiao Zou, Baihong Lin
Robust Heterophilic Graph Learning against Label Noise for Anomaly Detection
Junhang Wu, Ruimin Hu, Dengshi Li, Zijun Huang, Lingfei Ren, Yilong Zang
Hierarchical Reinforcement Learning for Point of Interest Recommendation
Yanan Xiao, Lu Jiang, Kunpeng Liu, Yuanbo Xu, Pengyang Wang, Minghao Yin
Learning Fair Representations for Recommendation via Information Bottleneck Principle
Junsong Xie, Yonghui Yang, Zihan Wang, Le Wu
Graph Attention Network with High-Order Neighbor Information Propagation for Social Recommendation
Fei Xiong, Haoran Sun, Guixun Luo, Shirui Pan, Meikang Qiu, Liang Wang
Decoupled Invariant Attention Network for Multivariate Time-series Forecasting
Haihua Xu, Wei Fan, Kun Yi, Pengyang Wang
Joint Domain Adaptive Graph Convolutional Network
Niya Yang, Ye Wang, Zhizhi Yu, Dongxiao He, Xin Huang, Di Jin
Kernel Readout for Graph Neural Networks
Jiajun Yu, Zhihao Wu, Jinyu Cai, Adele Lu Jia, Jicong Fan
LG-GNN: Local-Global Adaptive Graph Neural Network for Modeling Both Homophily and Heterophily
Zhizhi Yu, Bin Feng, Dongxiao He, Zizhen Wang, Yuxiao Huang, Zhiyong Feng
Sub-Adjacent Transformer: Improving Time Series Anomaly Detection with Reconstruction Error from Sub-Adjacent Neighborhoods
Wenzhen Yue, Xianghua Ying, Ruohao Guo, DongDong Chen, Ji Shi, Bowei Xing, Yuqing Zhu, Taiyan Chen
Exploring Urban Semantics: A Multimodal Model for POI Semantic Annotation with Street View Images and Place Names
Dabin Zhang, Meng Chen, Weiming Huang, Yongshun Gong, Kai Zhao
Natural Language-centered Inference Network for Multi-modal Fake News Detection
Qiang Zhang, Jiawei Liu, Fanrui Zhang, Jingyi Xie, Zheng-Jun Zha
Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation
Shunyang Zhang, Senzhang Wang, Hao Miao, Hao Chen, Changjun Fan, Jian Zhang
SaSDim:Self-Adaptive Noise Scaling Diffusion Model for Spatial Time Series Imputation
Shunyang Zhang, Senzhang Wang, Xianzhen Tan, Renzhi Wang, Ruochen Liu, Jian Zhang, Jianxin Wang
TFWT: Tabular Feature Weighting with Transformer
Xinhao Zhang, Zaitian Wang, Lu Jiang, Wanfu Gao, Pengfei Wang, Kunpeng Liu
G2LTraj: A Global-to-Local Generation Approach for Trajectory Prediction
Zhanwei Zhang, Zishuo Hua, Minghao Chen, Wei Lu, Binbin Lin, Deng Cai, Wenxiao Wang
A Graph-based Representation Framework for Trajectory Recovery via Spatiotemporal Interval-Informed Seq2Seq
Yaya Zhao, Kaiqi Zhao, Zhiqian Chen, Yuanyuan Zhang, Yalei Du, Xiaoling Lu
Modeling Personalized Retweeting Behaviors for Multi-Stage Cascade Popularity Prediction
Mingyang Zhou, Yanjie Lin, Gang Liu, Zuwen Li, Hao Liao, Rui Mao
Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction
Yicheng Zhou, Pengfei Wang, Hao Dong, Denghui Zhang, Dingqi Yang, Yanjie Fu, Pengyang Wang
Generalized Taxonomy-Guided Graph Neural Networks
Yu Zhou, Di Jin, Jianguo Wei, Dongxiao He, Zhizhi Yu, Weixiong Zhang
Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias in Federated Semi-Supervised Learning
Guogang Zhu, Xuefeng Liu, Xinghao Wu, Shaojie Tang, Chao Tang, Jianwei Niu, Hao Su
R2V-MIF: Rule-to-Vector Contrastive Learning and Multi-channel Information Fusion for Therapy Recommendation
Nengjun Zhu, Jieyun Huang, Jian Cao, Liang Hu, Zixuan Yuan, Huanjing Gao
Game Theory and Economic Paradigms
Optimizing Viscous Democracy
Ben Armstrong, Shiri Alouf-Heffetz, Nimrod Talmon
Facility Location Problems with Capacity Constraints: Two Facilities and Beyond
Gennaro Auricchio, Zihe Wang, Jie Zhang
Welfare Loss in Connected Resource Allocation
Xiaohui Bei, Alexander Lam, Xinhang Lu, Warut Suksompong
Computing Optimal Equilibria in Repeated Games with Restarts
Ratip Emin Berker, Vincent Conitzer
Evaluation of Project Performance in Participatory Budgeting
Niclas Boehmer, Piotr Faliszewski, Łukasz Janeczko, Dominik Peters, Grzegorz Pierczyński, Šimon Schierreich, Piotr Skowron, Stanisław Szufa
Randomized Learning-Augmented Auctions with Revenue Guarantees
Ioannis Caragiannis, Georgios Kalantzis
Layered Graph Security Games
Jakub Cerny, Chun Kai Ling, Christian Kroer, Garud Iyengar
Parameterized Analysis of Bribery in Challenge the Champ Tournaments
Juhi Chaudhary, Hendrik Molter, Meirav Zehavi
On the Pursuit of EFX for Chores: Non-existence and Approximations
Vasilis Christoforidis, Christodoulos Santorinaios
Online Learning of Partitions in Additively Separable Hedonic Games
Saar Cohen, Noa Agmon
Couples Can Be Tractable: New Algorithms and Hardness Results for the Hospitals/Residents Problem with Couples
Gergely Csáji, David Manlove, Iain McBride, James Trimble
Popular and Dominant Matchings with Uncertain and Multimodal Preferences
Gergely Csáji
Aggregation of Continuous Preferences in One Dimension
Alberto Del Pia, Dušan Knop, Alexandra Lassota, Krzysztof Sornat, Nimrod Talmon
Comparing Ways of Obtaining Candidate Orderings from Approval Ballots
Théo Delemazure, Chris Dong, Dominik Peters, Magdalena Tydrichova
Selecting the Most Conflicting Pair of Candidates
Théo Delemazure, Łukasz Janeczko, Andrzej Kaczmarczyk, Stanisław Szufa
Truthful Interval Covering
Argyrios Deligkas, Aris Filos-Ratsikas, Alexandros A. Voudouris
Individual Rationality in Topological Distance Games Is Surprisingly Hard
Argyrios Deligkas, Eduard Eiben, Dušan Knop, Šimon Schierreich
Metric Distortion with Elicited Pairwise Comparisons
Soroush Ebadian, Daniel Halpern, Evi Micha
Weighted EF1 and PO Allocations with Few Types of Agents or Chores
Jugal Garg, Aniket Murhekar, John Qin
Getting More by Knowing Less: Bayesian Incentive Compatible Mechanisms for Fair Division
Vasilis Gkatzelis, Alexandros Psomas, Xizhi Tan, Paritosh Verma
Determining Winners in Elections with Absent Votes
Qishen Han, Amelie Marian, Lirong Xia
Fair Distribution of Delivery Orders
Hadi Hosseini, Shivika Narang, Tomasz Wąs
Sampling Winners in Ranked Choice Voting
Matthew Iceland, Anson Kahng, Joseph Saber
Equilibria in Two-Stage Facility Location with Atomic Clients
Simon Krogmann, Pascal Lenzner, Alexander Skopalik, Marc Uetz, Marnix C. Vos
The Distortion of Threshold Approval Matching
Mohamad Latifian, Alexandros A. Voudouris
Polynomial Time Presolve Algorithms for Rotation-Based Models Solving the Robust Stable Matching Problem
Sulian Le Bozec-Chiffoleau, Charles Prud'homme, Gilles Simonin
Allocating Mixed Goods with Customized Fairness and Indivisibility Ratio
Bo Li, Zihao Li, Shengxin Liu, Zekai Wu
Public Event Scheduling with Busy Agents
Bo Li, Lijun Li, Minming Li, Ruilong Zhang
Vulnerabilities of Single-Round Incentive Compatibility in Auto-bidding: Theory and Evidence from ROI-Constrained Online Advertising Markets
Juncheng Li, Pingzhong Tang
Combinatorial Games with Incomplete Information
Junkang Li, Bruno Zanuttini, Véronique Ventos
Optimal Auction Design with User Coupons in Advertising Systems
Xiaodong Liu, Zhikang Fan, Yiming Ding, Yuan Guo, Lihua Zhang, Changcheng Li, Dongying Kong, Han Li, Weiran Shen
Tackling Stackelberg Network Interdiction against a Boundedly Rational Adversary
Tien Mai, Avinandan Bose, Arunesh Sinha, Thanh Nguyen, Ayushman Kumar singh
Ordinal Maximin Guarantees for Group Fair Division
Pasin Manurangsi, Warut Suksompong
Optimizing Prosumer Policies in Periodic Double Auctions Inspired by Equilibrium Analysis
Bharat Manvi, Sanjay Chandlekar, Easwar Subramanian
Toward Completing the Picture of Control in Schulze and Ranked Pairs Elections
Cynthia Maushagen, David Niclaus, Paul Nüsken, Jörg Rothe, Tessa Seeger
What Is Best for Students, Numerical Scores or Letter Grades?
Evi Micha, Shreyas Sekar, Nisarg Shah
Computational Complexity of Verifying the Group No-show Paradox
Farhad Mohsin, Qishen Han, Sikai Ruan, Pin-Yu Chen, Francesca Rossi, Lirong Xia
Nonparametric Detection of Gerrymandering in Multiparty Plurality Elections
Dariusz Stolicki, Wojciech Słomczyński, Stanisław Szufa
Enabling Sustainable Freight Forwarding Network via Collaborative Games
Pang-Jin Tan, Shih-Fen Cheng, Richard Chen
Game Transformations That Preserve Nash Equilibria or Best-Response Sets
Emanuel Tewolde, Vincent Conitzer
Imperfect-Recall Games: Equilibrium Concepts and Their Complexity
Emanuel Tewolde, Brian Hu Zhang, Caspar Oesterheld, Manolis Zampetakis, Tuomas Sandholm, Paul Goldberg, Vincent Conitzer
Mechanisms That Play a Game, Not Toss a Coin
Toby Walsh
Improved Approximation of Weighted MMS Fairness for Indivisible Chores
Fangxiao Wang, Bo Li, Pinyan Lu
How Hard Is It to Impact the Impact of Your Paper?
Yongjie Yang
Exponential Lower Bounds on the Double Oracle Algorithm in Zero-Sum Games
Brian Hu Zhang, Tuomas Sandholm
A Strategic Analysis of Prepayments in Financial Credit Networks
Hao Zhou, Yongzhao Wang, Konstantinos Varsos, Nicholas Bishop, Rahul Savani, Anisoara Calinescu, Michael Wooldridge
A Complete Landscape of EFX Allocations on Graphs: Goods, Chores and Mixed Manna
Yu Zhou, Tianze Wei, Minming Li, Bo Li
Knowledge Representation and Reasoning
General Epistemic Abstract Argumentation Framework: Semantics and Complexity
Gianvincenzo Alfano, Sergio Greco, Francesco Parisi, Irina Trubitsyna
AMO-aware Aggregates in Answer Set Programming
Mario Alviano, Carmine Dodaro, Salvatore Fiorentino, Marco Maratea
Higher-Order Argumentation Frameworks: Principles and Gradual Semantics
Leila Amgoud, Dragan Doder, Marie-Christine Lagasquie-Schiex
Effective Approach to LTLf Best-Effort Synthesis in Multi-Tier Environments
Benjamin Aminof, Giuseppe De Giacomo, Gianmarco Parretti, Sasha Rubin
Data Complexity in Expressive Description Logics with Path Expressions
Bartosz Bednarczyk
Bypassing the ASP Bottleneck: Hybrid Grounding by Splitting and Rewriting
Alexander Beiser, Markus Hecher, Kaan Unalan, Stefan Woltran
Primal Grammars Driven Automated Induction
Adel Bouhoula, Miki Hermann
Learning What to Monitor: Using Machine Learning to Improve past STL Monitoring
Andrea Brunello, Luca Geatti, Angelo Montanari, Nicola Saccomanno
Justifying Argument Acceptance with Collective Attacks: Discussions and Disputes
Giovanni Buraglio, Wolfgang Dvorak, Matthias König, Markus Ulbricht
Capturing Knowledge Graphs and Rules with Octagon Embeddings
Victor Charpenay, Steven Schockaert
Temporal Knowledge Graph Extrapolation via Causal Subhistory Identification
Kai Chen, Ye Wang, Xin Song, Siwei Chen, Han Yu, Aiping Li
Enhancing Controlled Query Evaluation through Epistemic Policies
Gianluca Cima, Domenico Lembo, Lorenzo Marconi, Riccardo Rosati, Domenico Fabio Savo
Compilation and Fast Model Counting beyond CNF
Alexis de Colnet, Stefan Szeider, Tianwei Zhang
Model Checking Causality
Tiago de Lima, Emiliano Lorini
Epistemic Logic Programs: Non-Ground and Counting Complexity
Thomas Eiter, Johannes K. Fichte, Markus Hecher, Stefan Woltran
Computational Aspects of Progression for Temporal Equilibrium Logic
Thomas Eiter, Davide Soldà
On the Logic of Theory Change Iteration of KM-Update, Revised
Liangda Fang, Tong Zhu, Quanlong Guan, Junming Qiu, Zhao-Rong Lai, Weiqi Luo, Hai Wan
Quantitative Reasoning over Incomplete Abstract Argumentation Frameworks
Bettina Fazzinga, Sergio Flesca, Filippo Furfaro, Giuseppina Monterosso
Improved Encodings of Acyclicity for Translating Answer Set Programming into Integer Programming
Masood Feyzbakhsh Rankooh, Tomi Janhunen
Revisiting Causal Discovery from a Complexity-Theoretic Perspective
Robert Ganian, Viktoriia Korchemna, Stefan Szeider
Finite Groundings for ASP with Functions: A Journey through Consistency
Lukas Gerlach, David Carral, Markus Hecher
Learning Conditional Preference Networks: An Approach Based on the Minimum Description Length Principle
Pierre-François Gimenez, Jérôme Mengin
Quantitative Claim-Centric Reasoning in Logic-Based Argumentation
Markus Hecher, Yasir Mahmood, Arne Meier, Johannes Schmidt
Semantics for Non-Flat Assumption-Based Argumentation, Revisited
Jesse Heyninck, Ofer Arieli
Learning Logic Programs by Discovering Higher-Order Abstractions
Céline Hocquette, Sebastijan Dumancic, Andrew Cropper
Learning Big Logical Rules by Joining Small Rules
Céline Hocquette, Andreas Niskanen, Rolf Morel, Matti Järvisalo, Andrew Cropper
LLMs Can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought
Zhuoxuan Jiang, Haoyuan Peng, Shanshan Feng, Fan Li, Dongsheng Li
Extremal Separation Problems for Temporal Instance Queries
Jean Christoph Jung, Vladislav Ryzhikov, Frank Wolter, Michael Zakharyaschev
Instantiations and Computational Aspects of Non-Flat Assumption-based Argumentation
Tuomo Lehtonen, Anna Rapberger, Francesca Toni, Markus Ulbricht, Johannes P. Wallner
Regression Residual Reasoning with Pseudo-labeled Contrastive Learning for Uncovering Multiple Complex Compositional Relations
Chengtai Li, Yuting He, Jianfeng Ren, Ruibin Bai, Yitian Zhao, Heng Yu, Xudong Jiang
First-Order Progression beyond Local-Effect and Normal Actions
Daxin Liu, Jens Claßen
Constructive Interpolation and Concept-Based Beth Definability for Description Logics via Sequents
Timothy S. Lyon, Jonas Karge
Model-Free Preference Elicitation
Carlos Martin, Craig Boutilier, Ofer Meshi, Tuomas Sandholm
CPa-WAC: Constellation Partitioning-based Scalable Weighted Aggregation Composition for Knowledge Graph Embedding
Sudipta Modak, Aakarsh Malhotra, Sarthak Malik, Anil Surisetty, Esam Abdel-Raheem
Revising Beliefs and Intentions in Stochastic Environments
Nima Motamed, Natasha Alechina, Mehdi Dastani, Dragan Doder
Preferred Reasoning in ABA by Cycle-Breaking
Kiet Nguyen Anh, Markus Ulbricht
A Logic for Reasoning about Aggregate-Combine Graph Neural Networks
Pierre Nunn, Marco Sälzer, François Schwarzentruber, Nicolas Troquard
Towards a Principle-based Framework for Assessing the Contribution of Formulas on the Conflicts of Knowledge Bases
Badran Raddaoui, Christian Straßer, Said Jabbour
The Transformation Logics
Alessandro Ronca
Agentive Permissions in Multiagent Systems
Qi Shi
On the Power and Limitations of Examples for Description Logic Concepts
Balder ten Cate, Raoul Koudijs, Ana Ozaki
Optimisation and Approximation in Abstract Argumentation: The Case of Stable Semantics
Matthias Thimm
A Tensor-Based Formalization of the Event Calculus
Efthimis Tsilionis, Alexander Artikis, Georgios Paliouras
Structured d-DNNF Is Not Closed under Negation
Harry Vinall-Smeeth
NELLIE: A Neuro-Symbolic Inference Engine for Grounded, Compositional, and Explainable Reasoning
Nathaniel Weir, Peter Clark, Benjamin Van Durme
Temporal Inductive Logic Reasoning over Hypergraphs
Yuan Yang, Siheng Xiong, Ali Payani, James C. Kerce, Faramarz Fekri
Explaining Arguments’ Strength: Unveiling the Role of Attacks and Supports
Xiang Yin, Nico Potyka, Francesca Toni
The Trembling-Hand Problem for LTLf Planning
Pian Yu, Shufang Zhu, Giuseppe De Giacomo, Marta Kwiatkowska, Moshe Vardi
Machine Learning
Fine-tuning Pre-trained Models for Robustness under Noisy Labels
Sumyeong Ahn, Sihyeon Kim, Jongwoo Ko, Se-Young Yun
Contract Scheduling with Distributional and Multiple Advice
Spyros Angelopoulos, Marcin Bienkowski, Christoph Dürr, Bertrand Simon
Contrastive Learning Is Not Optimal for Quasiperiodic Time Series
Adrian Atienza, Jakob Bardram, Sadasivan Puthusserypady
Cutting the Black Box: Conceptual Interpretation of a Deep Neural Net with Multi-Modal Embeddings and Multi-Criteria Decision Aid
Nicolas Atienza, Roman Bresson, Cyriaque Rousselot, Philippe Caillou, Johanne Cohen, Christophe Labreuche, Michele Sebag
On the Computation of Example-Based Abductive Explanations for Random Forests
Gilles Audemard, Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski
Deriving Provably Correct Explanations for Decision Trees: The Impact of Domain Theories
Gilles Audemard, Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski
Online Learning with Off-Policy Feedback in Adversarial MDPs
Francesco Bacchiocchi, Francesco Emanuele Stradi, Matteo Papini, Alberto Maria Metelli, Nicola Gatti
Ansatz-Agnostic Exponential Resource Saving in Variational Quantum Algorithms Using Shallow Shadows
Afrad Basheer, Yuan Feng, Christopher Ferrie, Sanjiang Li
Interpretable Network Visualizations: A Human-in-the-Loop Approach for Post-hoc Explainability of CNN-based Image Classification
Matteo Bianchi, Antonio De Santis, Andrea Tocchetti, Marco Brambilla
Contrastive General Graph Matching with Adaptive Augmentation Sampling
Jianyuan Bo, Yuan Fang
Towards Exact Computation of Inductive Bias
Akhilan Boopathy, William Yue, Jaedong Hwang, Abhiram Iyer, Ila Fiete
Best Arm Identification with Retroactively Increased Sampling Budget for More Resource-Efficient HPO
Jasmin Brandt, Marcel Wever, Viktor Bengs, Eyke Hüllermeier
With a Little Help from Language: Semantic Enhanced Visual Prototype Framework for Few-Shot Learning
Hecheng Cai, Yang Liu, Shudong Huang, Jiancheng Lv
LG-FGAD: An Effective Federated Graph Anomaly Detection Framework
Jinyu Cai, Yunhe Zhang, Jicong Fan, See-Kiong Ng
Dual Contrastive Graph-Level Clustering with Multiple Cluster Perspectives Alignment
Jinyu Cai, Yunhe Zhang, Jicong Fan, Yali Du, Wenzhong Guo
Learning Low-Rank Tensor Cores with Probabilistic ℓ0-Regularized Rank Selection for Model Compression
Tianxiao Cao, Lu Sun, Canh Hao Nguyen, Hiroshi Mamitsuka
Breaking Barriers of System Heterogeneity: Straggler-Tolerant Multimodal Federated Learning via Knowledge Distillation
Jinqian Chen, Haoyu Tang, Junhao Cheng, Ming Yan, Ji Zhang, Mingzhu Xu, Yupeng Hu, Liqiang Nie
Off-Agent Trust Region Policy Optimization
Ruiqing Chen, Xiaoyuan Zhang, Yali Du, Yifan Zhong, Zheng Tian, Fanglei Sun, Yaodong Yang
EAT: Self-Supervised Pre-Training with Efficient Audio Transformer
Wenxi Chen, Yuzhe Liang, Ziyang Ma, Zhisheng Zheng, Xie Chen
Global Optimality of Single-Timescale Actor-Critic under Continuous State-Action Space: A Study on Linear Quadratic Regulator
Xuyang Chen, Jingliang Duan, Lin Zhao
Boosting Single Positive Multi-label Classification with Generalized Robust Loss
Yanxi Chen, Chunxiao Li, Xinyang Dai, Jinhuan Li, Weiyu Sun, Yiming Wang, Renyuan Zhang, Tinghe Zhang, Bo Wang
Disentangling Domain and General Representations for Time Series Classification
Youmin Chen, Xinyu Yan, Yang Yang, Jianfeng Zhang, Jing Zhang, Lujia Pan, Juren Li
Automated CPU Design by Learning from Input-Output Examples
Shuyao Cheng, Pengwei Jin, Qi Guo, Zidong Du, Rui Zhang, Xing Hu, Yongwei Zhao, Yifan Hao, Xiangtao Guan, Husheng Han, Zhengyue Zhao, Ximing Liu, Xishan Zhang, Yuejie Chu, Weilong Mao, Tianshi Chen, Yunji Chen
Deep Embedding Clustering Driven by Sample Stability
Zhanwen Cheng, Feijiang Li, Jieting Wang, Yuhua Qian
Diversification of Adaptive Policy for Effective Offline Reinforcement Learning
Yunseon Choi, Li Zhao, Chuheng Zhang, Lei Song, Jiang Bian, Kee-Eung Kim
Structure-Preserving Physics-Informed Neural Networks with Energy or Lyapunov Structure
Haoyu Chu, Yuto Miyatake, Wenjun Cui, Shikui Wei, Daisuke Furihata
HypBO: Accelerating Black-Box Scientific Experiments Using Experts’ Hypotheses
Abdoulatif Cissé, Xenophon Evangelopoulos, Sam Carruthers, Vladimir V. Gusev, Andrew I. Cooper
A Conservative Approach for Few-Shot Transfer in Off-Dynamics Reinforcement Learning
Paul Daoudi, Christophe Prieur, Bogdan Robu, Merwan Barlier, Ludovic Dos Santos
Exploring the Inefficiency of Heavy Ball as Momentum Parameter Approaches 1
Xiaoge Deng, Tao Sun, Dongsheng Li, Xicheng Lu
What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning
Zhihong Deng, Jing Jiang, Guodong Long, Chengqi Zhang
SpecAR-Net: Spectrogram Analysis and Representation Network for Time Series
Yi Dong, Liwen Zhang, Youcheng Zhang, Shi Peng, Wen Chen, Zhe Ma
Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning
Wei Duan, Jie Lu, Junyu Xuan
Tolerating Outliers: Gradient-Based Penalties for Byzantine Robustness and Inclusion
Latifa Errami, El Houcine Bergou
Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting
Wei Fan, Kun Yi, Hangting Ye, Zhiyuan Ning, Qi Zhang, Ning An
VCC-INFUSE: Towards Accurate and Efficient Selection of Unlabeled Examples in Semi-supervised Learning
Shijie Fang, Qianhan Feng, Tong Lin
Federated Multi-View Clustering via Tensor Factorization
Wei Feng, Zhenwei Wu, Qianqian Wang, Bo Dong, Zhiqiang Tao, Quanxue Gao
Efficient Federated Multi-View Clustering with Integrated Matrix Factorization and K-Means
Wei Feng, Zhenwei Wu, Qianqian Wang, Bo Dong, Zhiqiang Tao, Quanxue Gao
Core-Structures-Guided Multi-Modal Classification Neural Architecture Search
Pinhan Fu, Xinyan Liang, Tingjin Luo, Qian Guo, Yayu Zhang, Yuhua Qian
Hard-Thresholding Meets Evolution Strategies in Reinforcement Learning
Chengqian Gao, William de Vazelhes, Hualin Zhang, Bin Gu, Zhiqiang Xu
Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting
Haotian Gao, Renhe Jiang, Zheng Dong, Jinliang Deng, Yuxin Ma, Xuan Song
Exterior Penalty Policy Optimization with Penalty Metric Network under Constraints
Shiqing Gao, Jiaxin Ding, Luoyi Fu, Xinbing Wang, Chenghu Zhou
History Repeats Itself: A Baseline for Temporal Knowledge Graph Forecasting
Julia Gastinger, Christian Meilicke, Federico Errica, Timo Sztyler, Anett Schülke, Heiner Stuckenschmidt
Temporal Graph ODEs for Irregularly-Sampled Time Series
Alessio Gravina, Daniele Zambon, Davide Bacciu, Cesare Alippi
Unlearning during Learning: An Efficient Federated Machine Unlearning Method
Hanlin Gu, Gongxi Zhu, Jie Zhang, Xinyuan Zhao, Yuxing Han, Lixin Fan, Qiang Yang
PoRank: A Practical Framework for Learning to Rank Policies
Pengjie Gu, Mengchen Zhao, Xu He, Yi Cai, Bo An
P2P: Transforming from Point Supervision to Explicit Visual Prompt for Object Detection and Segmentation
Guangqian Guo, Dian Shao, Chenguang Zhu, Sha Meng, Xuan Wang, Shan Gao
ParsNets: A Parsimonious Composition of Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning
Jingcai Guo, Qihua Zhou, Xiaocheng Lu, Ruibin Li, Ziming Liu, Jie Zhang, Bo Han, Junyang Chen, Xin Xie, Song Guo
Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space Selection
Xianjie Guo, Kui Yu, Hao Wang, Lizhen Cui, Han Yu, Xiaoxiao Li
Online Sampling and Decision Making with Low Entropy
Mohammad Taghi Hajiaghayi, Dariusz R. Kowalski, Piotr Krysta, Jan Olkowski
InfoMatch: Entropy Neural Estimation for Semi-Supervised Image Classification
Qi Han, Zhibo Tian, Chengwei Xia, Kun Zhan
BlockEcho: Retaining Long-Range Dependencies for Imputing Block-Wise Missing Data
Qiao Han, Mingqian Li, Yao Yang, Yiteng Zhai
SAEIR: Sequentially Accumulated Entropy Intrinsic Reward for Cooperative Multi-Agent Reinforcement Learning with Sparse Reward
Xin He, Hongwei Ge, Yaqing Hou, Jincheng Yu
EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost
Jaeseung Heo, Seungbeom Lee, Sungsoo Ahn, Dongwoo Kim
Dynamically Anchored Prompting for Task-Imbalanced Continual Learning
Chenxing Hong, Yan Jin, Zhiqi Kang, Yizhou Chen, Mengke Li, Yang Lu, Hanzi Wang
Feature Norm Regularized Federated Learning: Utilizing Data Disparities for Model Performance Gains
Ke Hu, Liyao Xiang, Peng Tang, Weidong Qiu
Practical Hybrid Gradient Compression for Federated Learning Systems
Sixu Hu, Linshan Jiang, Bingsheng He
Multimodal Representation Distribution Learning for Medical Image Segmentation
Chao Huang, Weichao Cai, Qiuping Jiang, Zhihua Wang
LeRet: Language-Empowered Retentive Network for Time Series Forecasting
Qihe Huang, Zhengyang Zhou, Kuo Yang, Gengyu Lin, Zhongchao Yi, Yang Wang
Negative-Binomial Randomized Gamma Dynamical Systems for Heterogeneous Overdispersed Count Time Sequences
Rui Huang, Sikun Yang, Heinz Koeppl
Deep Multi-Dimensional Classification with Pairwise Dimension-Specific Features
Teng Huang, Bin-Bin Jia, Min-Ling Zhang
Unified View Imputation and Feature Selection Learning for Incomplete Multi-view Data
Yanyong Huang, Zongxin Shen, Tianrui Li, Fengmao Lv
An Efficient Prototype-Based Clustering Approach for Edge Pruning in Graph Neural Networks to Battle Over-Smoothing
Yuyang Huang, Wenjing Lu, Yang Yang
Symplectic Neural Gaussian Processes for Meta-learning Hamiltonian Dynamics
Tomoharu Iwata, Yusuke Tanaka
CAP: A Context-Aware Neural Predictor for NAS
Han Ji, Yuqi Feng, Yanan Sun
Label Distribution Learning from Logical Label
Yuheng Jia, Jiawei Tang, Jiahao Jiang
QFormer: An Efficient Quaternion Transformer for Image Denoising
Bo Jiang, Yao Lu, Guangming Lu, Bob Zhang
EFEVD: Enhanced Feature Extraction for Smart Contract Vulnerability Detection
Chi Jiang, Xihan Liu, Shenao Wang, Jinzhuo Liu, Yin Zhang
Temporal Domain Generalization via Learning Instance-level Evolving Patterns
Yujie Jin, Zhibang Yang, Xu Chu, Liantao Ma
Scaling Up Unbiased Search-based Symbolic Regression
Paul Kahlmeyer, Joachim Giesen, Michael Habeck, Henrik Voigt
Integrating Vision-Language Semantic Graphs in Multi-View Clustering
JunLong Ke, Zichen Wen, Yechenhao Yang, Chenhang Cui, Yazhou Ren, Xiaorong Pu, Lifang He
Offline Policy Learning via Skill-step Abstraction for Long-horizon Goal-Conditioned Tasks
Donghoon Kim, Minjong Yoo, Honguk Woo
HyQ: Hardware-Friendly Post-Training Quantization for CNN-Transformer Hybrid Networks
Nam Joon Kim, Jongho Lee, Hyun Kim
Pareto Inverse Reinforcement Learning for Diverse Expert Policy Generation
Woo Kyung Kim, Minjong Yoo, Honguk Woo
Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms
Aneesh Komanduri, Yongkai Wu, Feng Chen, Xintao Wu
Efficient and Stable Offline-to-online Reinforcement Learning via Continual Policy Revitalization
Rui Kong, Chenyang Wu, Chen-Xiao Gao, Zongzhang Zhang, Ming Li
Exploiting Multi-Label Correlation in Label Distribution Learning
Zhiqiang Kou, Jing Wang, Jiawei Tang, Yuheng Jia, Boyu Shi, Xin Geng
ROCES: Robust Class Expression Synthesis in Description Logics via Iterative Sampling
N'Dah Jean Kouagou, Stefan Heindorf, Caglar Demir, Axel-Cyrille Ngonga Ngomo
Look-ahead Search on Top of Policy Networks in Imperfect Information Games
Ondřej Kubíček, Neil Burch, Viliam Lisý
Towards a Framework for Learning of Algorithms: The Case of Learned Comparison Sorts
Philipp Kunz, Ilche Georgievski, Marco Aiello
Deep Neural Networks via Complex Network Theory: A Perspective
Emanuele La Malfa, Gabriele La Malfa, Giuseppe Nicosia, Vito Latora
A De-singularity Subgradient Approach for the Extended Weber Location Problem
Zhao-Rong Lai, Xiaotian Wu, Liangda Fang, Ziliang Chen
Toward a Manifold-Preserving Temporal Graph Network in Hyperbolic Space
Viet Quan Le, Viet Cuong Ta
Unbiased Active Semi-supervised Binary Classification Models
JooChul Lee, Weidong Ma, Ziyang Wang
Hypergraph Self-supervised Learning with Sampling-efficient Signals
Fan Li, Xiaoyang Wang, Dawei Cheng, Wenjie Zhang, Ying Zhang, Xuemin Lin
Combinatorial Routing for Neural Trees
Jiahao Li, Ruichu Cai, Yuguang Yan
A Density-driven Iterative Prototype Optimization for Transductive Few-shot Learning
Jingcong Li, Chunjin Ye, Fei Wang, Jiahui Pan
DWLR: Domain Adaptation under Label Shift for Wearable Sensor
Juren Li, Yang Yang, Youmin Chen, Jianfeng Zhang, Zeyu Lai, Lujia Pan
Continual Multi-Objective Reinforcement Learning via Reward Model Rehearsal
Lihe Li, Ruotong Chen, Ziqian Zhang, Zhichao Wu, Yi-Chen Li, Cong Guan, Yang Yu, Lei Yuan
DarkFed: A Data-Free Backdoor Attack in Federated Learning
Minghui Li, Wei Wan, Yuxuan Ning, Shengshan Hu, Lulu Xue, Leo Yu Zhang, Yichen Wang
Prompt Learning with Extended Kalman Filter for Pre-trained Language Models
Quan Li, Xike Xie, Chao Wang, S. Kevin Zhou
SketchEdit: Editing Freehand Sketches at the Stroke-Level
Tengjie Li, Shikui Tu, Lei Xu
No Regularization Is Needed: Efficient and Effective Incomplete Label Distribution Learning
Xiang Li, Songcan Chen
WPML3CP: Wasserstein Partial Multi-Label Learning with Dual Label Correlation Perspectives
Ximing Li, Yuanchao Dai, Bing Wang, Changchun Li, Renchu Guan, Fangming Gu, Jihong Ouyang
Fast Unpaired Multi-view Clustering
Xingfeng Li, Yuangang Pan, Yinghui Sun, Quansen Sun, Ivor Tsang, Zhenwen Ren
Causality-enhanced Discreted Physics-informed Neural Networks for Predicting Evolutionary Equations
Ye Li, Siqi Chen, Bin Shan, Sheng-Jun Huang
Angluin-Style Learning of Deterministic Büchi and Co-Büchi Automata
Yong Li, Sven Schewe, Qiyi Tang
Efficiency Calibration of Implicit Regularization in Deep Networks via Self-paced Curriculum-Driven Singular Value Selection
Zhe Li, Shuo Chen, Jian Yang, Lei Luo
Efficient Offline Meta-Reinforcement Learning via Robust Task Representations and Adaptive Policy Generation
Zhengwei Li, Zhenyang Lin, Yurou Chen, Zhiyong Liu
FedConPE: Efficient Federated Conversational Bandits with Heterogeneous Clients
Zhuohua Li, Maoli Liu, John C. S. Lui
BATON: Aligning Text-to-Audio Model Using Human Preference Feedback
Huan Liao, Haonan Han, Kai Yang, Tianjiao Du, Rui Yang, Qinmei Xu, Zunnan Xu, Jingquan Liu, Jiasheng Lu, Xiu Li
Scalable Federated Unlearning via Isolated and Coded Sharding
Yijing Lin, Zhipeng Gao, Hongyang Du, Dusit Niyato, Gui Gui, Shuguang Cui, Jinke Ren
Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments
Yujie Lin, Chen Zhao, Minglai Shao, Baoluo Meng, Xujiang Zhao, Haifeng Chen
Dual Semantic Fusion Hashing for Multi-Label Cross-Modal Retrieval
Kaiming Liu, Yunhong Gong, Yu Cao, Zhenwen Ren, Dezhong Peng, Yuan Sun
Meta-Learning via PAC-Bayesian with Data-Dependent Prior: Generalization Bounds from Local Entropy
Shiyu Liu, Wei Shi, Zenglin Xu, Shaogao Lv, Yehong Zhang, Hui Wang
MICRO: Model-Based Offline Reinforcement Learning with a Conservative Bellman Operator
Xiao-Yin Liu, Xiao-Hu Zhou, Guotao Li, Hao Li, Mei-Jiang Gui, Tian-Yu Xiang, De-Xing Huang, Zeng-Guang Hou
Provable Acceleration of Nesterov’s Accelerated Gradient Method over Heavy Ball Method in Training Over-Parameterized Neural Networks
Xin Liu, Wei Tao, Wei Li, Dazhi Zhan, Jun Wang, Zhisong Pan
Resolving Word Vagueness with Scenario-guided Adapter for Natural Language Inference
Yonghao Liu, Mengyu Li, Di Liang, Ximing Li, Fausto Giunchiglia, Lan Huang, Xiaoyue Feng, Renchu Guan
LongVQ: Long Sequence Modeling with Vector Quantization on Structured Memory
Zicheng Liu, Li Wang, Siyuan Li, Zedong Wang, Haitao Lin, Stan Z. Li
An NCDE-based Framework for Universal Representation Learning of Time Series
Zihan Liu, Bowen Du, Junchen Ye, Xianqing Wen, Leilei Sun
A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points
Zihe Liu, Jie Lu, Guangquan Zhang, Junyu Xuan
Self-supervised Weighted Information Bottleneck for Multi-view Clustering
Zhengzheng Lou, Chaoyang Zhang, Hang Xue, Yangdong Ye, Qinglei Zhou, Shizhe Hu
Revisiting Neural Networks for Continual Learning: An Architectural Perspective
Aojun Lu, Tao Feng, Hangjie Yuan, Xiaotian Song, Yanan Sun
LEAP: Optimization Hierarchical Federated Learning on Non-IID Data with Coalition Formation Game
Jianfeng Lu, Yue Chen, Shuqin Cao, Longbiao Chen, Wei Wang, Yun Xin
Alleviating Imbalanced Pseudo-label Distribution: Self-Supervised Multi-Source Domain Adaptation with Label-specific Confidence
Shuai Lü, Meng Kang, Ximing Li
Implicit Prompt Learning for Image Denoising
Yao Lu, Bo Jiang, Guangming Lu, Bob Zhang
The Orthogonality of Weight Vectors: The Key Characteristics of Normalization and Residual Connections
Zhixing Lu, Yuanyuan Sun, Zhihao Yang, Qin Zhou, Hongfei Lin
Machine Learning
Simple Contrastive Multi-View Clustering with Data-Level Fusion
Caixuan Luo, Jie Xu, Yazhou Ren, Junbo Ma, Xiaofeng Zhu
Rank and Align: Towards Effective Source-free Graph Domain Adaptation
Junyu Luo, Zhiping Xiao, Yifan Wang, Xiao Luo, Jingyang Yuan, Wei Ju, Langechuan Liu, Ming Zhang
Common-Individual Semantic Fusion for Multi-View Multi-Label Learning
Gengyu Lyu, Weiqi Kang, Haobo Wang, Zheng Li, Zhen Yang, Songhe Feng
Deciphering the Projection Head: Representation Evaluation Self-supervised Learning
Jiajun Ma, Tianyang Hu, Wenjia Wang
Learning Embeddings for Sequential Tasks Using Population of Agents
Mridul Mahajan, Georgios Tzannetos, Goran Radanovic, Adish Singla
Learning Label-Specific Multiple Local Metrics for Multi-Label Classification
Jun-Xiang Mao, Jun-Yi Hang, Min-Ling Zhang
ROME: Robust Multi-Modal Density Estimator
Anna Mészáros, Julian F. Schumann, Javier Alonso-Mora, Arkady Zgonnikov, Jens Kober
FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization
Zhiyuan Ning, Chunlin Tian, Meng Xiao, Wei Fan, Pengyang Wang, Li Li, Pengfei Wang, Yuanchun Zhou
A Prior-information-guided Residual Diffusion Model for Multi-modal PET Synthesis from MRI
Zaixin Ou, Caiwen Jiang, Yongsheng Pan, Yuanwang Zhang, Zhiming Cui, Dinggang Shen
Probabilistically Robust Watermarking of Neural Networks
Mikhail Pautov, Nikita Bogdanov, Stanislav Pyatkin, Oleg Rogov, Ivan Oseledets
Cross-View Diversity Embedded Consensus Learning for Multi-View Clustering
Chong Peng, Kai Zhang, Yongyong Chen, Chenglizhao Chen, Qiang Cheng
Mean Aggregator Is More Robust than Robust Aggregators under Label Poisoning Attacks
Jie Peng, Weiyu Li, Qing Ling
FedPFT: Federated Proxy Fine-Tuning of Foundation Models
Zhaopeng Peng, Xiaoliang Fan, Yufan Chen, Zheng Wang, Shirui Pan, Chenglu Wen, Ruisheng Zhang, Cheng Wang
Let’s Start Over: Retraining with Selective Samples for Generalized Category Discovery
Zhimao Peng, Enguang Wang, Xialei Liu, Ming-Ming Cheng
What Makes Models Compositional? A Theoretical View
Parikshit Ram, Tim Klinger, Alexander G. Gray
Dual Expert Distillation Network for Generalized Zero-Shot Learning
Zhijie Rao, Jingcai Guo, Xiaocheng Lu, Jingming Liang, Jie Zhang, Haozhao Wang, Kang Wei, Xiaofeng Cao
Dynamic Weighted Graph Fusion for Deep Multi-View Clustering
Yazhou Ren, Jingyu Pu, Chenhang Cui, Yan Zheng, Xinyue Chen, Xiaorong Pu, Lifang He
Partial Optimal Transport Based Out-of-Distribution Detection for Open-Set Semi-Supervised Learning
Yilong Ren, Chuanwen Feng, Xike Xie, S. Kevin Zhou
Hyperparameter Optimization Can Even Be Harmful in Off-Policy Learning and How to Deal with It
Yuta Saito, Masahiro Nomura
Robust Losses for Decision-Focused Learning
Noah Schutte, Krzysztof Postek, Neil Yorke-Smith
EMOTE: An Explainable Architecture for Modelling the Other through Empathy
Manisha Senadeera, Thommen Karimpanal George, Stephan Jacobs, Sunil Gupta, Santu Rana
Predictive Accuracy-Based Active Learning for Medical Image Segmentation
Jun Shi, Shulan Ruan, Ziqi Zhu, Minfan Zhao, Hong An, Xudong Xue, Bing Yan
Estimating Conditional Average Treatment Effects via Sufficient Representation Learning
Pengfei Shi, Wei Zhong, Xinyu Zhang, Ningtao Wang, Xing Fu, Weiqiang Wang, Yin Jin
A Context-Enhanced Framework for Sequential Graph Reasoning
Shuo Shi, Chao Peng, Chenyang Xu, Zhengfeng Yang
Learning with Posterior Sampling for Revenue Management under Time-varying Demand
Kazuma Shimizu, Junya Honda, Shinji Ito, Shinji Nakadai
Learning Pareto Set for Multi-Objective Continuous Robot Control
Tianye Shu, Ke Shang, Cheng Gong, Yang Nan, Hisao Ishibuchi
Offline Reinforcement Learning with Behavioral Supervisor Tuning
Padmanaba Srinivasan, William Knottenbelt
Robust Contrastive Multi-view Kernel Clustering
Peng Su, Yixi Liu, Shujian Li, Shudong Huang, Jiancheng Lv
Adaptive Order Q-learning
Tao Tan, Hong Xie, Defu Lian
Perturbation Guiding Contrastive Representation Learning for Time Series Anomaly Detection
Liaoyuan Tang, Zheng Wang, Guanxiong He, Rong Wang, Feiping Nie
Deep Hierarchical Graph Alignment Kernels
Shuhao Tang, Hao Tian, Xiaofeng Cao, Wei Ye
Exploiting Conjugate Label Information for Multi-Instance Partial-Label Learning
Wei Tang, Weijia Zhang, Min-Ling Zhang
Dual Calibration-based Personalised Federated Learning
Xiaoli Tang, Han Yu, Run Tang, Chao Ren, Anran Li, Xiaoxiao Li
A Bias-Free Revenue-Maximizing Bidding Strategy for Data Consumers in Auction-based Federated Learning
Xiaoli Tang, Han Yu, Zengxiang Li, Xiaoxiao Li
Unlearning from Weakly Supervised Learning
Yi Tang, Yi Gao, Yong-gang Luo, Ju-Cheng Yang, Miao Xu, Min-Ling Zhang
Redefining Contributions: Shapley-Driven Federated Learning
Nurbek Tastan, Samar Fares, Toluwani Aremu, Samuel Horváth, Karthik Nandakumar
Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using Monte Carlo Methods
Andrej Tschalzev, Paul Nitschke, Lukas Kirchdorfer, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt
Proximal Curriculum with Task Correlations for Deep Reinforcement Learning
Georgios Tzannetos, Parameswaran Kamalaruban, Adish Singla
Interpretable Tensor Fusion
Saurabh Varshneya, Antoine Ledent, Philipp Liznerski, Andriy Balinskyy, Purvanshi Mehta, Waleed Mustafa, Marius Kloft
MOSER: Learning Sensory Policy for Task-specific Viewpoint via View-conditional World Model
Shenghua Wan, Hai-Hang Sun, Le Gan, De-Chuan Zhan
Contrastive and View-Interaction Structure Learning for Multi-view Clustering
Jing Wang, Songhe Feng
Hacking Task Confounder in Meta-Learning
Jingyao Wang, Yi Ren, Zeen Song, Jianqi Zhang, Changwen Zheng, Wenwen Qiang
Strengthening Layer Interaction via Dynamic Layer Attention
Kaishen Wang, Xun Xia, Jian Liu, Zhang Yi, Tao He
Finite-Time Convergence Rates of Decentralized Local Markovian Stochastic Approximation
Pengfei Wang, Nenggan Zheng
Reconstruction Weighting Principal Component Analysis with Fusion Contrastive Learning
Qianqian Wang, Meiling Liu, Wei Feng, Mengping Jiang, Haiming Xu, Quanxue Gao
A Grassmannian Manifold Self-Attention Network for Signal Classification
Rui Wang, Chen Hu, Ziheng Chen, Xiao-Jun Wu, Xiaoning Song
Joint Input and Output Coordination for Class-Incremental Learning
Shuai Wang, Yibing Zhan, Yong Luo, Han Hu, Wei Yu, Yonggang Wen, Dacheng Tao
Self-Supervised Learning for Enhancing Spatial Awareness in Free-Hand Sketches
Xin Wang, Tengjie Li, Sicong Zang, Shikui Tu, Lei Xu
Scale and Direction Guided GAN for Inertial Sensor Signal Enhancement
Yifeng Wang, Yi Zhao
Self-adaptive Extreme Penalized Loss for Imbalanced Time Series Prediction
Yiyang Wang, Yuchen Han, Yuhan Guo
Atomic Recovery Property for Multi-view Subspace-Preserving Recovery
Yulong Wang
Subgraph Pooling: Tackling Negative Transfer on Graphs
Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye
Nonconvex Multiview Subspace Clustering Framework with Efficient Method Designs and Theoretical Analysis
Zhi Wang, Zhuo Liu, Dong Hu, Tao Jia
Cross-Talk Reduction
Zhong-Qiu Wang, Anurag Kumar, Shinji Watanabe
PDENNEval: A Comprehensive Evaluation of Neural Network Methods for Solving PDEs
Ping Wei, Menghan Liu, Jianhuan Cen, Ziyang Zhou, Liao Chen, Qingsong Zou
Towards Sharper Generalization Bounds for Adversarial Contrastive Learning
Wen Wen, Han Li, Tieliang Gong, Hong Chen
From Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client Sharpness Matching
Nannan Wu, Zhuo Kuang, Zengqiang Yan, Li Yu
PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction
Shiguang Wu, Yaqing Wang, Quanming Yao
Synthesizing Programmatic Policy for Generalization within Task Domain
Tianyi Wu, Liwei Shen, Zhen Dong, Xin Peng, Wenyun Zhao
TAI++: Text as Image for Multi-Label Image Classification by Co-Learning Transferable Prompt
Xiangyu Wu, Qing-Yuan Jiang, Yang Yang, Yi-Feng Wu, Qing-Guo Chen, Jianfeng Lu
Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation
Xingyu Wu, Yan Zhong, Jibin Wu, Bingbing Jiang, Kay Chen Tan
AllMatch: Exploiting All Unlabeled Data for Semi-Supervised Learning
Zhiyu Wu, Jinshi Cui
Exploring Learngene via Stage-wise Weight Sharing for Initializing Variable-sized Models
Shi-Yu Xia, Wenxuan Zhu, Xu Yang, Xin Geng
Trusted Multi-view Learning with Label Noise
Cai Xu, Yilin Zhang, Ziyu Guan, Wei Zhao
Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent
Hang Xu, Kai Li, Bingyun Liu, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
FedFa: A Fully Asynchronous Training Paradigm for Federated Learning
Haotian Xu, Zhaorui Zhang, Sheng Di, Benben Liu, Khalid Ayed Alharthi, Jiannong Cao
FBLG: A Local Graph Based Approach for Handling Dual Skewed Non-IID Data in Federated Learning
Yi Xu, Ying Li, Haoyu Luo, Xiaoliang Fan, Xiao Liu
Reinforcement Learning from Diverse Human Preferences
Wanqi Xue, Bo An, Shuicheng Yan, Zhongwen Xu
Dynamic against Dynamic: An Open-Set Self-Learning Framework
Haifeng Yang, Chuanxing Geng, Pong C. Yuen, Songcan Chen
Approximate Algorithms for k-Sparse Wasserstein Barycenter with Outliers
Qingyuan Yang, Hu Ding
Navigating Continual Test-time Adaptation with Symbiosis Knowledge
Xu Yang, Moqi Li, Jie Yin, Kun Wei, Cheng Deng
VCformer: Variable Correlation Transformer with Inherent Lagged Correlation for Multivariate Time Series Forecasting
Yingnan Yang, Qingling Zhu, Jianyong Chen
Boosting Efficiency in Task-Agnostic Exploration through Causal Knowledge
Yupei Yang, Biwei Huang, Shikui Tu, Lei Xu
A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification
Sin-Yee Yap, Junn Yong Loo, Chee-Ming Ting, Fuad Noman, Raphaël C.-W. Phan, Adeel Razi, David L. Dowe
Bridging the Gap: Learning Pace Synchronization for Open-World Semi-Supervised Learning
Bo Ye, Kai Gan, Tong Wei, Min-Ling Zhang
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning
Liping Yi, Han Yu, Zhuan Shi, Gang Wang, Xiaoguang Liu, Lizhen Cui, Xiaoxiao Li
Pointsoup: High-Performance and Extremely Low-Decoding-Latency Learned Geometry Codec for Large-Scale Point Cloud Scenes
Kang You, Kai Liu, Li Yu, Pan Gao, Dandan Ding
EC-SNN: Splitting Deep Spiking Neural Networks for Edge Devices
Di Yu, Xin Du, Linshan Jiang, Wentao Tong, Shuiguang Deng
Bandits with Concave Aggregated Reward
Yingqi Yu, Sijia Zhang, Shaoang Li, Lan Zhang, Wei Xie, Xiang-Yang Li
BoostDream: Efficient Refining for High-Quality Text-to-3D Generation from Multi-View Diffusion
Yonghao Yu, Shunan Zhu, Huai Qin, Haorui Li
FedES: Federated Early-Stopping for Hindering Memorizing Heterogeneous Label Noise
Bixiao Zeng, Xiaodong Yang, Yiqiang Chen, Zhiqi Shen, Hanchao Yu, Yingwei Zhang
Task-Agnostic Self-Distillation for Few-Shot Action Recognition
Bin Zhang, Yuanjie Dang, Peng Chen, Ronghua Liang, Nan Gao, Ruohong Huan, Xiaofei He
Continual Multi-View Clustering with Consistent Anchor Guidance
Chao Zhang, Deng Xu, Xiuyi Jia, Chunlin Chen, Huaxiong Li
Efficient Multi-view Unsupervised Feature Selection with Adaptive Structure Learning and Inference
Chenglong Zhang, Yang Fang, Xinyan Liang, Han Zhang, Peng Zhou, Xingyu Wu, Jie Yang, Bingbing Jiang, Weiguo Sheng
Federated Adaptation for Foundation Model-based Recommendations
Chunxu Zhang, Guodong Long, Hongkuan Guo, Xiao Fang, Yang Song, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang
LSPAN: Spectrally Localized Augmentation for Graph Consistency Learning
Heng-Kai Zhang, Yi-Ge Zhang, Zhi Zhou, Yu-Feng Li
Learning from Long-Tailed Noisy Data with Sample Selection and Balanced Loss
Lefan Zhang, Zhang-Hao Tian, Wujun Zhou, Wei Wang
CONC: Complex-noise-resistant Open-set Node Classification with Adaptive Noise Detection
Qin Zhang, Jiexin Lu, Xiaowei Li, Huisi Wu, Shirui Pan, Junyang Chen
Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting
Tiange Zhang, Qing Cai, Feng Gao, Lin Qi, Junyu Dong
Skip-Timeformer: Skip-Time Interaction Transformer for Long Sequence Time-Series Forecasting
Wenchang Zhang, Hua Wang, Fan Zhang
Fine-grained Analysis of Stability and Generalization for Stochastic Bilevel Optimization
Xuelin Zhang, Hong Chen, Bin Gu, Tieliang Gong, Feng Zheng
Visual Attention Prompted Prediction and Learning
Yifei Zhang, Bo Pan, Siyi Gu, Guangji Bai, Meikang Qiu, Xiaofeng Yang, Liang Zhao
Personalized Federated Learning for Cross-City Traffic Prediction
Yu Zhang, Hua Lu, Ning Liu, Yonghui Xu, Qingzhong Li, Lizhen Cui
Pre-training General User Representation with Multi-type APP Behaviors
Yuren Zhang, Min Hou, Kai Zhang, Yuqing Yuan, Chao Song, Zhihao Ye, Enhong Chen, Yang Yu
Reconfigurability-Aware Selection for Contrastive Active Domain Adaptation
Zeyu Zhang, Chun Shen, Shuai Lü, Shaojie Zhang
Active Deep Multi-view Clustering
Helin Zhao, Wei Chen, Peng Zhou
ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles
Kai Zhao, Jianye Hao, Yi Ma, Jinyi Liu, Yan Zheng, Zhaopeng Meng
NanoAdapt: Mitigating Negative Transfer in Test Time Adaptation with Extremely Small Batch Sizes
Shiji Zhao, Shao-Yuan Li, Sheng-Jun Huang
Towards Robust Multi-Label Learning against Dirty Label Noise
Yuhai Zhao, Yejiang Wang, Zhengkui Wang, Wen Shan, Miaomiao Huang, Meixia Wang, Min Huang, Xingwei Wang
Protecting Split Learning by Potential Energy Loss
Fei Zheng, Chaochao Chen, Lingjuan Lyu, Xinyi Fu, Xing Fu, Weiqiang Wang, Xiaolin Zheng, Jianwei Yin
Learning Robust Classifiers with Self-Guided Spurious Correlation Mitigation
Guangtao Zheng, Wenqian Ye, Aidong Zhang
Constrained Intrinsic Motivation for Reinforcement Learning
Xiang Zheng, Xingjun Ma, Chao Shen, Cong Wang
Cross-View Contrastive Fusion for Enhanced Molecular Property Prediction
Yan Zheng, Song Wu, Junyu Lin, Yazhou Ren, Jing He, Xiaorong Pu, Lifang He
SCAT: A Time Series Forecasting with Spectral Central Alternating Transformers
Chengjie Zhou, Chao Che, Pengfei Wang, Qiang Zhang
Delve into Base-Novel Confusion: Redundancy Exploration for Few-Shot Class-Incremental Learning
Haichen Zhou, Yixiong Zou, Ruixuan Li, Yuhua Li, Kui Xiao
Denoising-Aware Contrastive Learning for Noisy Time Series
Shuang Zhou, Daochen Zha, Xiao Shen, Xiao Huang, Rui Zhang, Korris Chung
Boosting Model Resilience via Implicit Adversarial Data Augmentation
Xiaoling Zhou, Wei Ye, Zhemg Lee, Rui Xie, Shikun Zhang
Learning in CubeRes Model Space for Anomaly Detection in 3D GPR Data
Xiren Zhou, Shikang Liu, Ao Chen, Huanhuan Chen
Large Language Model as a Policy Teacher for Training Reinforcement Learning Agents
Zihao Zhou, Bin Hu, Chenyang Zhao, Pu Zhang, Bin Liu
Rethinking Centered Kernel Alignment in Knowledge Distillation
Zikai Zhou, Yunhang Shen, Shitong Shao, Linrui Gong, Shaohui Lin
SDformer: Transformer with Spectral Filter and Dynamic Attention for Multivariate Time Series Long-term Forecasting
Ziyu Zhou, Gengyu Lyu, Yiming Huang, Zihao Wang, Ziyu Jia, Zhen Yang
Towards Sharper Risk Bounds for Minimax Problems
Bowei Zhu, Shaojie Li, Yong Liu
AnchorGT: Efficient and Flexible Attention Architecture for Scalable Graph Transformers
Wenhao Zhu, Guojie Song, Liang Wang, Shaoguo Liu
FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning
Yinlin Zhu, Xunkai Li, Zhengyu Wu, Di Wu, Miao Hu, Rong-Hua Li
vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement
Yiwen Zhu, Jinyi Liu, Wenya Wei, Qianyi Fu, Yujing Hu, Zhou Fang, Bo An, Jianye Hao, Tangjie Lv, Changjie Fan
Efficient Tuning and Inference for Large Language Models on Textual Graphs
Yun Zhu, Yaoke Wang, Haizhou Shi, Siliang Tang
PrivSGP-VR: Differentially Private Variance-Reduced Stochastic Gradient Push with Tight Utility Bounds
Zehan Zhu, Yan Huang, Xin Wang, Jinming Xu
Balancing Multimodal Learning via Online Logit Modulation
Daoming Zong, Chaoyue Ding, Baoxiang Li, Jiakui Li, Ken Zheng
Multidisciplinary Topics and Applications
Predictive Modeling with Temporal Graphical Representation on Electronic Health Records
Jiayuan Chen, Changchang Yin, Yuanlong Wang, Ping Zhang
Federated Prompt Learning for Weather Foundation Models on Devices
Shengchao Chen, Guodong Long, Tao Shen, Jing Jiang, Chengqi Zhang
Shadow-Free Membership Inference Attacks: Recommender Systems Are More Vulnerable Than You Thought
Xiaoxiao Chi, Xuyun Zhang, Yan Wang, Lianyong Qi, Amin Beheshti, Xiaolong Xu, Kim-Kwang Raymond Choo, Shuo Wang, Hongsheng Hu
Geometry-Guided Conditional Adaptation for Surrogate Models of Large-Scale 3D PDEs on Arbitrary Geometries
Jingyang Deng, Xingjian Li, Haoyi Xiong, Xiaoguang Hu, Jinwen Ma
Linear-Time Optimal Deadlock Detection for Efficient Scheduling in Multi-Track Railway Networks
Hastyn Doshi, Ayush Tripathi, Keshav Agarwal, Harshad Khadilkar, Shivaram Kalyanakrishnan
MMGNN: A Molecular Merged Graph Neural Network for Explainable Solvation Free Energy Prediction
Wenjie Du, Shuai Zhang, Di Wu, Jun Xia, Ziyuan Zhao, Junfeng Fang, Yang Wang
VF-Detector: Making Multi-Granularity Code Changes on Vulnerability Fix Detector Robust to Mislabeled Changes
Zhenkan Fu, Shikai Guo, Hui Li, Rong Chen, Xiaochen Li, He Jiang
Enhancing Fine-Grained Urban Flow Inference via Incremental Neural Operator
Qiang Gao, Xiaolong Song, Li Huang, Goce Trajcevski, Fan Zhou, Xueqin Chen
InstructME: An Instruction Guided Music Edit Framework with Latent Diffusion Models
Bing Han, Junyu Dai, Weituo Hao, Xinyan He, Dong Guo, Jitong Chen, Yuxuan Wang, Yanmin Qian, Xuchen Song
Dynamicity-aware Social Bot Detection with Dynamic Graph Transformers
Buyun He, Yingguang Yang, Qi Wu, Hao Liu, Renyu Yang, Hao Peng, Xiang Wang, Yong Liao, Pengyuan Zhou
Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activations
Nima Hosseini Dashtbayaz, Ghazal Farhani, Boyu Wang, Charles X. Ling
Delocate: Detection and Localization for Deepfake Videos with Randomly-Located Tampered Traces
Juan Hu, Xin Liao, Difei Gao, Satoshi Tsutsui, Qian Wang, Zheng Qin, Mike Zheng Shou
Personalized Heart Disease Detection via ECG Digital Twin Generation
Yaojun Hu, Jintai Chen, Lianting Hu, Dantong Li, Jiahuan Yan, Haochao Ying, Huiying Liang, Jian Wu
ATTA: Adaptive Test-Time Adaptation for Multi-Modal Sleep Stage Classification
Ziyu Jia, Xihao Yang, Chenyang Zhou, Haoyang Deng, Tianzi Jiang
Vertical Symbolic Regression via Deep Policy Gradient
Nan Jiang, Md Nasim, Yexiang Xue
Privacy-Preserving UCB Decision Process Verification via zk-SNARKs
Xikun Jiang, He Lyu, Chenhao Ying, Yibin Xu, Boris Düdder, Yuan Luo
Stochastic Neural Simulator for Generalizing Dynamical Systems across Environments
Liu Jiaqi, Jiaxu Cui, Jiayi Yang, Bo Yang
Enhancing Length Generalization for Attention Based Knowledge Tracing Models with Linear Biases
Xueyi Li, Youheng Bai, Teng Guo, Zitao Liu, Yaying Huang, Xiangyu Zhao, Feng Xia, Weiqi Luo, Jian Weng
OUCopula: Bi-Channel Multi-Label Copula-Enhanced Adapter-Based CNN for Myopia Screening Based on OU-UWF Images
Yang Li, Qiuyi Huang, Chong Zhong, Danjuan Yang, Meiyan Li, A.H. Welsh, Aiyi Liu, Bo Fu, Catherine C. Liu, Xingtao Zhou
A Cognitive-Driven Trajectory Prediction Model for Autonomous Driving in Mixed Autonomy Environments
Haicheng Liao, Zhenning Li, Chengyue Wang, Bonan Wang, Hanlin Kong, Yanchen Guan, Guofa Li, Zhiyong Cui
MFTraj: Map-Free, Behavior-Driven Trajectory Prediction for Autonomous Driving
Haicheng Liao, Zhenning Li, Chengyue Wang, Huanming Shen, Dongping Liao, Bonan Wang, Guofa Li, Chengzhong Xu
SCTrans: Multi-scale scRNA-seq Sub-vector Completion Transformer for Gene-selective Cell Type Annotation
Lu Lin, Wen Xue, Xindian Wei, Wenjun Shen, Cheng Liu, Si Wu, Hau San Wong
Enhancing Multimodal Knowledge Graph Representation Learning through Triple Contrastive Learning
Yuxing Lu, Weichen Zhao, Nan Sun, Jinzhuo Wang
Enhanced DouDiZhu Card Game Strategy Using Oracle Guiding and Adaptive Deep Monte Carlo Method
Qian Luo, Tien Ping Tan, Daochen Zha, Tianqiao Zhang
Towards Geometric Normalization Techniques in SE(3) Equivariant Graph Neural Networks for Physical Dynamics Simulations
Ziqiao Meng, Liang Zeng, Zixing Song, Tingyang Xu, Peilin Zhao, Irwin King
Searching for Programmatic Policies in Semantic Spaces
Rubens O. Moraes, Levi H. S. Lelis
IMM: An Imitative Reinforcement Learning Approach with Predictive Representation Learning for Automatic Market Making
Hui Niu, Siyuan Li, Jiahao Zheng, Zhouchi Lin, Bo An, Jian Li, Jian Guo
MacMic: Executing Iceberg Orders via Hierarchical Reinforcement Learning
Hui Niu, Siyuan Li, Jian Li
SACNN: Self Attention-based Convolutional Neural Network for Fraudulent Behaviour Detection in Sports
Maxx Richard Rahman, Lotfy Abdel Khaliq, Thomas Piper, Hans Geyer, Tristan Equey, Norbert Baume, Reid Aikin, Wolfgang Maass
Dynamic Many-Objective Molecular Optimization: Unfolding Complexity with Objective Decomposition and Progressive Optimization
Dong-Hee Shin, Young-Han Son, Deok-Joong Lee, Ji-Wung Han, Tae-Eui Kam
Multi-TA: Multilevel Temporal Augmentation for Robust Septic Shock Early Prediction
Hyunwoo Sohn, Kyungjin Park, Baekkwan Park, Min Chi
BeyondVision: An EMG-driven Micro Hand Gesture Recognition Based on Dynamic Segmentation
Nana Wang, Jianwei Niu, Xuefeng Liu, Dongqin Yu, Guogang Zhu, Xinghao Wu, Mingliang Xu, Hao Su
Improving Paratope and Epitope Prediction by Multi-Modal Contrastive Learning and Interaction Informativeness Estimation
Zhiwei Wang, Yongkang Wang, Wen Zhang
MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement
Zifeng Wang, Chufan Gao, Cao Xiao, Jimeng Sun
ZeroDDI: A Zero-Shot Drug-Drug Interaction Event Prediction Method with Semantic Enhanced Learning and Dual-modal Uniform Alignment
Ziyan Wang, Zhankun Xiong, Feng Huang, Xuan Liu, Wen Zhang
A Semi-supervised Molecular Learning Framework for Activity Cliff Estimation
Fang Wu
Are Watermarks Bugs for Deepfake Detectors? Rethinking Proactive Forensics
Xiaoshuai Wu, Xin Liao, Bo Ou, Yuling Liu, Zheng Qin
Learning-Based Tracking-before-Detect for RF-Based Unconstrained Indoor Human Tracking
Zhi Wu, Dongheng Zhang, Zixin Shang, Yuqin Yuan, Hanqin Gong, Binquan Wang, Zhi Lu, Yadong Li, Yang Hu, Qibin Sun, Yan Chen
An Image-enhanced Molecular Graph Representation Learning Framework
Hongxin Xiang, Shuting Jin, Jun Xia, Man Zhou, Jianmin Wang, Li Zeng, Xiangxiang Zeng
RSAP-DFM: Regime-Shifting Adaptive Posterior Dynamic Factor Model for Stock Returns Prediction
Quanzhou Xiang, Zhan Chen, Qi Sun, Rujun Jiang
Domain Adaptive and Fine-grained Anomaly Detection for Single-cell Sequencing Data and Beyond
Kaichen Xu, Yueyang Ding, Suyang Hou, Weiqiang Zhan, Nisang Chen, Jun Wang, Xiaobo Sun
Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement Labeling
Liang Zeng, Lei Wang, Hui Niu, Ruchen Zhang, Ling Wang, Jian Li
Distribution-Independent Cell Type Identification for Single-Cell RNA-seq Data
Yuyao Zhai, Liang Chen, Minghua Deng
A Deep Reinforcement Learning Approach to Balance Viewport Prediction and Video Transmission in 360° Video Streaming
Guanghui Zhang, Jing Guo
Heterogeneous Causal Metapath Graph Neural Network for Gene-Microbe-Disease Association Prediction
Kexin Zhang, Feng Huang, Luotao Liu, Zhankun Xiong, Hongyu Zhang, Yuan Quan, Wen Zhang
Vision-based Discovery of Nonlinear Dynamics for 3D Moving Target
Zitong Zhang, Yang Liu, Hao Sun
Natural Language Processing
MEDVOC: Vocabulary Adaptation for Fine-tuning Pre-trained Language Models on Medical Text Summarization
Gunjan Balde, Soumyadeep Roy, Mainack Mondal, Niloy Ganguly
SEMANTIFY: Unveiling Memes with Robust Interpretability beyond Input Attribution
Dibyanayan Bandyopadhyay, Asmit Ganguly, Baban Gain, Asif Ekbal
Towards Automatic Composition of ASP Programs from Natural Language Specifications
Manuel Borroto Santana, Irfan Kareem, Francesco Ricca
PEACH: Pretrained-Embedding Explanation across Contextual and Hierarchical Structure
Feiqi Cao, Soyeon Caren Han, Hyunsuk Chung
FactCHD: Benchmarking Fact-Conflicting Hallucination Detection
Xiang Chen, Duanzheng Song, Honghao Gui, Chenxi Wang, Ningyu Zhang, Yong Jiang, Fei Huang, Chengfei Lyu, Dan Zhang, Huajun Chen
Continual Multimodal Knowledge Graph Construction
Xiang Chen, Jingtian Zhang, Xiaohan Wang, Ningyu Zhang, Tongtong Wu, Yuxiang Wang, Yongheng Wang, Huajun Chen
Generating More Audios for End-to-End Spoken Language Understanding
Xuxin Cheng, Yuexian Zou
MMVQA: A Comprehensive Dataset for Investigating Multipage Multimodal Information Retrieval in PDF-based Visual Question Answering
Yihao Ding, Kaixuan Ren, Jiabin Huang, Siwen Luo, Soyeon Caren Han
Improving Pseudo Labels with Global-Local Denoising Framework for Cross-lingual Named Entity Recognition
Zhuojun Ding, Wei Wei, Xiaoye Qu, Dangyang Chen
Position Debiasing Fine-Tuning for Causal Perception in Long-Term Dialogue
Shixuan Fan, Wei Wei, Wendi Li, Xian-Ling Mao, Wenfeng Xie, Dangyang Chen
Large Language Models Are Not Strong Abstract Reasoners
Gaël Gendron, Qiming Bao, Michael Witbrock, Gillian Dobbie
ADELT: Transpilation between Deep Learning Frameworks
Linyuan Gong, Jiayi Wang, Alvin Cheung
ECR-Chain: Advancing Generative Language Models to Better Emotion-Cause Reasoners through Reasoning Chains
Zhaopei Huang, Jinming Zhao, Qin Jin
GRASP: A Novel Benchmark for Evaluating Language GRounding and Situated Physics Understanding in Multimodal Language Models
Serwan Jassim, Mario Holubar, Annika Richter, Cornelius Wolff, Xenia Ohmer, Elia Bruni
Natural Language Decomposition and Interpretation of Complex Utterances
Harsh Jhamtani, Hao Fang, Patrick Xia, Eran Levy, Jacob Andreas, Benjamin Van Durme
Domain-Hierarchy Adaptation via Chain of Iterative Reasoning for Few-shot Hierarchical Text Classification
Ke Ji, Peng Wang, Wenjun Ke, Guozheng Li, Jiajun Liu, Jingsheng Gao, Ziyu Shang
LLMem: Estimating GPU Memory Usage for Fine-Tuning Pre-Trained LLMs
Taeho Kim, Yanming Wang, Vatshank Chaturvedi, Lokesh Gupta, Seyeon Kim, Yongin Kwon, Sangtae Ha
Bridge to Non-Barrier Communication: Gloss-Prompted Fine-Grained Cued Speech Gesture Generation with Diffusion Model
Wentao Lei, Li Liu, Jun Wang
Reframing Spatial Reasoning Evaluation in Language Models: A Real-World Simulation Benchmark for Qualitative Reasoning
Fangjun Li, David C. Hogg, Anthony G. Cohn
Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors
Guozheng Li, Peng Wang, Jiajun Liu, Yikai Guo, Ke Ji, Ziyu Shang, Zijie Xu
Empirical Analysis of Dialogue Relation Extraction with Large Language Models
Guozheng Li, Zijie Xu, Ziyu Shang, Jiajun Liu, Ke Ji, Yikai Guo
Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction
Guozheng Li, Peng Wang, Wenjun Ke, Yikai Guo, Ke Ji, Ziyu Shang, Jiajun Liu, Zijie Xu
LocMoE: A Low-overhead MoE for Large Language Model Training
Jing Li, Zhijie Sun, Xuan He, Li Zeng, Yi Lin, Entong Li, Binfan Zheng, Rongqian Zhao, Xin Chen
Improving Zero-Shot Cross-Lingual Transfer via Progressive Code-Switching
Zhuoran Li, Chunming Hu, Junfan Chen, Zhijun Chen, Xiaohui Guo, Richong Zhang
Prompt-enhanced Network for Hateful Meme Classification
Junxi Liu, Yanyan Feng, Jiehai Chen, Yun Xue, Fenghuan Li
Span-based Unified Named Entity Recognition Framework via Contrastive Learning
Hongli Mao, Xian-Ling Mao, Hanlin Tang, Yu-Ming Shang, Xiaoyan Gao, Ao-Jie Ma, Heyan Huang
Separate in the Speech Chain: Cross-Modal Conditional Audio-Visual Target Speech Extraction
Zhaoxi Mu, Xinyu Yang
Putting Back the Stops: Integrating Syntax with Neural Topic Models
Mayank Nagda, Sophie Fellenz
ScreenAgent: A Vision Language Model-driven Computer Control Agent
Runliang Niu, Jindong Li, Shiqi Wang, Yali Fu, Xiyu Hu, Xueyuan Leng, He Kong, Yi Chang, Qi Wang
Contrastive Representation Learning for Self-Supervised Taxonomy Completion
Yuhang Niu, Hongyuan Xu, Ciyi Liu, Yanlong Wen, Xiaojie Yuan
Innovative Directional Encoding in Speech Processing: Leveraging Spherical Harmonics Injection for Multi-Channel Speech Enhancement
Jiahui Pan, Pengjie Shen, Hui Zhang, Xueliang Zhang
Memorizing Documents with Guidance in Large Language Models
Bumjin Park, Jaesik Choi
Decoupling Breaks Data Barriers: A Decoupled Pre-training Framework for Multi-intent Spoken Language Understanding
Libo Qin, Qiguang Chen, Jingxuan Zhou, Qinzheng Li, Chunlin Lu, Wanxiang Che
Contextualized Speech Recognition: Rethinking Second-Pass Rescoring with Generative Large Language Models
Yixuan Tang, Anthony K. H. Tung
Correct and Optimal: The Regular Expression Inference Challenge
Mojtaba Valizadeh, Philip John Gorinski, Ignacio Iacobacci, Martin Berger
Two-stage Semi-supervised Speaker Recognition with Gated Label Learning
Xingmei Wang, Jiaxiang Meng, Kong Aik Lee, Boquan Li, Jinghan Liu
NegativePrompt: Leveraging Psychology for Large Language Models Enhancement via Negative Emotional Stimuli
Xu Wang, Cheng Li, Yi Chang, Jindong Wang, Yuan Wu
Purpose Enhanced Reasoning through Iterative Prompting: Uncover Latent Robustness of ChatGPT on Code Comprehension
Yi Wang, Qidong Zhao, Dongkuan Xu, Xu Liu
Beyond What If: Advancing Counterfactual Text Generation with Structural Causal Modeling
Ziao Wang, Xiaofeng Zhang, Hongwei Du
Sentence-Level or Token-Level? A Comprehensive Study on Knowledge Distillation
Jingxuan Wei, Linzhuang Sun, Yichong Leng, Xu Tan, Bihui Yu, Ruifeng Guo
Unified Evidence Enhancement Inference Framework for Fake News Detection
Lianwei Wu, Linyong Wang, Yongqiang Zhao
HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis
Zhuojia Wu, Qi Zhang, Duoqian Miao, Kun Yi, Wei Fan, Liang Hu
Learning to Solve Geometry Problems via Simulating Human Dual-Reasoning Process
Tong Xiao, Jiayu Liu, Zhenya Huang, Jinze Wu, Jing Sha, Shijin Wang, Enhong Chen
Attention Based Document-level Relation Extraction with None Class Ranking Loss
Xiaolong Xu, Chenbin Li, Haolong Xiang, Lianyong Qi, Xuyun Zhang, Wanchun Dou
It Ain’t That Bad: Understanding the Mysterious Performance Drop in OOD Generalization for Generative Transformer Models
Xingcheng Xu, Zihao Pan, Haipeng Zhang, Yanqing Yang
TaD: A Plug-and-Play Task-Aware Decoding Method to Better Adapt LLMs on Downstream Tasks
Xinhao Xu, Hui Chen, Zijia Lin, Jungong Han, Lixing Gong, Guoxin Wang, Yongjun Bao, Guiguang Ding
Incorporating Schema-Aware Description into Document-Level Event Extraction
Zijie Xu, Peng Wang, Wenjun Ke, Guozheng Li, Jiajun Liu, Ke Ji, Xiye Chen, Chenxiao Wu
Vision-fused Attack: Advancing Aggressive and Stealthy Adversarial Text against Neural Machine Translation
Yanni Xue, Haojie Hao, Jiakai Wang, Qiang Sheng, Renshuai Tao, Yu Liang, Pu Feng, Xianglong Liu
Learning Label Dependencies for Visual Information Extraction
Minghong Yao, Liansheng Zhuang, Houqiang Li, Jiuchang Wei
Modeling Selective Feature Attention for Lightweight Text Matching
Jianxiang Zang, Hui Liu
InstructEdit: Instruction-Based Knowledge Editing for Large Language Models
Ningyu Zhang, Bozhong Tian, Siyuan Cheng, Xiaozhuan Liang, Yi Hu, Kouying Xue, Yanjie Gou, Xi Chen, Huajun Chen
KG-CoT: Chain-of-Thought Prompting of Large Language Models over Knowledge Graphs for Knowledge-Aware Question Answering
Ruilin Zhao, Feng Zhao, Long Wang, Xianzhi Wang, Guandong Xu
Generate Synthetic Text Approximating the Private Distribution with Differential Privacy
Wenhao Zhao, Shaoyang Song, Chunlai Zhou
Making LLMs as Fine-Grained Relation Extraction Data Augmentor
Yifan Zheng, Wenjun Ke, Qi Liu, Yuting Yang, Ruizhuo Zhao, Dacheng Feng, Jianwei Zhang, Zhi Fang
MultifacetEval: Multifaceted Evaluation to Probe LLMs in Mastering Medical Knowledge
Yuxuan Zhou, Xien Liu, Chen Ning, Ji Wu
Joint Multimodal Aspect Sentiment Analysis with Aspect Enhancement and Syntactic Adaptive Learning
Linlin Zhu, Heli Sun, Qunshu Gao, Tingzhou Yi, Liang He
TFCD: Towards Multi-modal Sarcasm Detection via Training-Free Counterfactual Debiasing
Zhihong Zhu, Xianwei Zhuang, Yunyan Zhang, Derong Xu, Guimin Hu, Xian Wu, Yefeng Zheng
