Yue Zhang | IJCAI

Monash University , Faculty of Information Technology

22 papers in the IJCAI proceedings

IJCAI 2026

A Lightweight Traffic Map for Efficient Anytime LaCAM

with Bojie Shen, Zhe Chen, Daniel Harabor

doi:10.24963/ijcai.2026/38

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SPACE: Structure-Preserving Cross-Modal Image Enhancement for Extreme Low-Light Conditions

with Zhiliang Wu, Yuxuan Hou, Hehe Fan

doi:10.24963/ijcai.2026/235

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IJCAI 2025

Exploring the Frontiers of Animation Video Generation in the Sora Era: Method, Dataset and Benchmark

with Yudong Jiang, Baohan Xu, Siqian Yang, Mingyu Ying, Jing Liu, Chao Xu, Siqi Wang, Yidi Wu, Bingwen Zhu, Jinlong Hou, Huyang Sun

doi:10.24963/ijcai.2025/141

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Screening, Rectifying, and Re-Screening: A Unified Framework for Tuning Vision-Language Models with Noisy Labels

with Chaowei Fang, Hangfei Ma, Zhihao Li, De Cheng, Guanbin Li

doi:10.24963/ijcai.2025/568

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IJCAI 2023

HOI-aware Adaptive Network for Weakly-supervised Action Segmentation

with Runzhong Zhang, Suchen Wang, Yueqi Duan, Yansong Tang, Yap-Peng Tan

doi:10.24963/ijcai.2023/191

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IJCAI 2022

Visual Emotion Representation Learning via Emotion-Aware Pre-training

with Wanying Ding, Ran Xu, Xiaohua Hu

doi:10.24963/ijcai.2022/234

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IJCAI 2021

When Computational Representation Meets Neuroscience: A Survey on Brain Encoding and Decoding

with Lu Cao, Dandan Huang

doi:10.24963/ijcai.2021/594

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IJCAI 2020

CoSDA-ML: Multi-Lingual Code-Switching Data Augmentation for Zero-Shot Cross-Lingual NLP

with Libo Qin, Minheng Ni, Wanxiang Che

doi:10.24963/ijcai.2020/533

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Dialogue State Induction Using Neural Latent Variable Models

with Qingkai Min, Libo Qin, Zhiyang Teng, Xiao Liu

doi:10.24963/ijcai.2020/532

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Inference-Masked Loss for Deep Structured Output Learning

with Quan Guo, Hossein Rajaby Faghihi, Andrzej Uszok, Parisa Kordjamshidi

doi:10.24963/ijcai.2020/382

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LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning

with Jian Liu, Leyang Cui, Hanmeng Liu, Dandan Huang, Yile Wang

doi:10.24963/ijcai.2020/501

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IJCAI 2019

Extracting Entities and Events as a Single Task Using a Transition-Based Neural Model

with Junchi Zhang, Yanxia Qin, Mengchi Liu, Donghong Ji

doi:10.24963/ijcai.2019/753

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Learning Interpretable Relational Structures of Hinge-loss Markov Random Fields

with Arti Ramesh

doi:10.24963/ijcai.2019/838

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IJCAI 2018

Event Factuality Identification via Generative Adversarial Networks with Auxiliary Classification

with Zhong Qian, Peifeng Li, Guodong Zhou, Qiaoming Zhu

doi:10.24963/ijcai.2018/597

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Joint Extraction of Entities and Relations Based on a Novel Graph Scheme

with Shaolei Wang, Wanxiang Che, Ting Liu

doi:10.24963/ijcai.2018/620

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IJCAI 2017

A Neural Model for Joint Event Detection and Summarization

with Zhongqing Wang

doi:10.24963/ijcai.2017/581

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DDoS Event Forecasting using Twitter Data

with Zhongqing Wang

doi:10.24963/ijcai.2017/580

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IJCAI 2016

Bag-of-Embeddings for Text Classification

with Peng Jin, Xingyuan Chen, Yunqing Xia

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Joint Models for Extracting Adverse Drug Events from Biomedical Text

with Fei Li, Meishan Zhang, Donghong Ji

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IJCAI 2015

Deep Learning for Event-Driven Stock Prediction

with Xiao Ding, Ting Liu, Junwen Duan

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Target-Dependent Twitter Sentiment Classification with Rich Automatic Features

with Duy-Tin Vo

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IJCAI 2013

Partial-Tree Linearization: Generalized Word Ordering for Text Synthesis

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