Proceedings

Guodong Long

Centre for Artificial Intelligence , School of Software , University of Technology Sydney

18 papers in the IJCAI proceedings

IJCAI 2025

Distilling A Universal Expert from Clustered Federated Learning
with Zeqi Leng, Chunxu Zhang, Riting Xia, Bo Yang
doi:10.24963/ijcai.2025/620
Details PDF
Federated Low-Rank Adaptation for Foundation Models: A Survey
with Yiyuan Yang, Qinghua Lu, Liming Zhu, Jing Jiang, Chengqi Zhang
doi:10.24963/ijcai.2025/1196
Details PDF

IJCAI 2024

BADFSS: Backdoor Attacks on Federated Self-Supervised Learning
with Jiale Zhang, Chengcheng Zhu, Di Wu, Xiaobing Sun, Jianming Yong
doi:10.24963/ijcai.2024/61
Details PDF
Federated Adaptation for Foundation Model-based Recommendations
with Chunxu Zhang, Hongkuan Guo, Xiao Fang, Yang Song, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang
doi:10.24963/ijcai.2024/603
Details PDF
Federated Prompt Learning for Weather Foundation Models on Devices
with Shengchao Chen, Tao Shen, Jing Jiang, Chengqi Zhang
doi:10.24963/ijcai.2024/638
Details PDF
The Rise of Federated Intelligence: From Federated Foundation Models Toward Collective Intelligence
doi:10.24963/ijcai.2024/980
Details PDF
What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning
with Zhihong Deng, Jing Jiang, Chengqi Zhang
doi:10.24963/ijcai.2024/432
Details PDF

IJCAI 2023

Dual Personalization on Federated Recommendation
with Chunxu Zhang, Tianyi Zhou, Peng Yan, Zijian Zhang, Chengqi Zhang, Bo Yang
doi:10.24963/ijcai.2023/507
Details PDF
Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data
with Shengchao Chen, Tao Shen, Jing Jiang
doi:10.24963/ijcai.2023/393
Details PDF

IJCAI 2022

Personalized Federated Learning With a Graph
with Fengwen Chen, Zonghan Wu, Tianyi Zhou, Jing Jiang
doi:10.24963/ijcai.2022/357
Details PDF

IJCAI 2020

Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering
with Tao Shen, Xiubo Geng, Jing Jiang, Chengqi Zhang, Daxin Jiang
doi:10.24963/ijcai.2020/308
Details PDF

IJCAI 2019

Attributed Graph Clustering: A Deep Attentional Embedding Approach
with Chun Wang, Shirui Pan, Ruiqi Hu, Jing Jiang, Chengqi Zhang
doi:10.24963/ijcai.2019/509
Details PDF
Graph WaveNet for Deep Spatial-Temporal Graph Modeling
with Zonghan Wu, Shirui Pan, Jing Jiang, Chengqi Zhang
doi:10.24963/ijcai.2019/264
Details PDF
Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph
with Lu Liu, Tianyi Zhou, Jing Jiang, Lina Yao, Chengqi Zhang
doi:10.24963/ijcai.2019/418
Details PDF

IJCAI 2018

Adversarially Regularized Graph Autoencoder for Graph Embedding
with Shirui Pan, Ruiqi Hu, Jing Jiang, Lina Yao, Chengqi Zhang
doi:10.24963/ijcai.2018/362
Details PDF
Multi-modality Sensor Data Classification with Selective Attention
with Xiang Zhang, Lina Yao, Chaoran Huang, Sen Wang, Mingkui Tan, Can Wang
doi:10.24963/ijcai.2018/432
Details PDF
NeuRec: On Nonlinear Transformation for Personalized Ranking
with Shuai Zhang, Lina Yao, Aixin Sun, Sen Wang, Manqing Dong
doi:10.24963/ijcai.2018/510
Details PDF
Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling
with Tao Shen, Tianyi Zhou, Jing Jiang, Sen Wang, Chengqi Zhang
doi:10.24963/ijcai.2018/604
Details PDF
Welcome Future Conferences AI Journal Division IJCAI Proceedings About IJCAI IJCAI Awards