Zhengyu Chen

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 27

Top Topics

Intrinsic Motivation

Surprising Patterns

Top Venues

Publications

Zheqi Lv, Wenqiao Zhang, Zhengyu Chen, Shengyu Zhang, Kun Kuang
Intelligent Model Update Strategy for Sequential Recommendation. WWW (2024)
Zhengyu Chen, Teng Xiao, Donglin Wang, Min Zhang
Pareto Graph Self-Supervised Learning. ICASSP (2024)
Ruihao Zhang, Zhengyu Chen, Teng Xiao, Yueyang Wang, Kun Kuang
Discovering Invariant Neighborhood Patterns for Heterophilic Graphs. CoRR (2024)
Chau Pham, Boyi Liu, Yingxiang Yang, Zhengyu Chen, Tianyi Liu, Jianbo Yuan, Bryan A. Plummer, Zhaoran Wang, Hongxia Yang
Let Models Speak Ciphers: Multiagent Debate through Embeddings. ICLR (2024)
Shengyu Zhang, Qiaowei Miao, Ping Nie, Mengze Li, Zhengyu Chen, Fuli Feng, Kun Kuang, Fei Wu
Transferring Causal Mechanism over Meta-representations for Target-Unknown Cross-domain Recommendation. ACM Trans. Inf. Syst. 42 (4) (2024)
Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu
Learning to Reweight for Generalizable Graph Neural Network. AAAI (2024)
Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu
Learning to Reweight for Graph Neural Network. CoRR (2023)
Min Zhang, Junkun Yuan, Yue He, Wenbin Li, Zhengyu Chen, Kun Kuang
MAP: Towards Balanced Generalization of IID and OOD through Model-Agnostic Adapters. ICCV (2023)
Zhengyu Chen, Yishu Gong, Liangliang Yang, Jianyu Zhang, Wei Zhang, Sihong He, Xusheng Zhang
Invariant Graph Neural Network for Out-of-Distribution Nodes. ICMLC (2023)
Teng Xiao, Huaisheng Zhu, Zhengyu Chen, Suhang Wang
Simple and Asymmetric Graph Contrastive Learning without Augmentations. CoRR (2023)
Zheqi Lv, Zhengyu Chen, Shengyu Zhang, Kun Kuang, Wenqiao Zhang, Mengze Li, Beng Chin Ooi, Fei Wu
IDEAL: Toward High-efficiency Device-Cloud Collaborative and Dynamic Recommendation System. CoRR (2023)
Zheqi Lv, Wenqiao Zhang, Shengyu Zhang, Kun Kuang, Feng Wang, Yongwei Wang, Zhengyu Chen, Tao Shen, Hongxia Yang, Beng Chin Ooi, Fei Wu
DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization. WWW (2023)
Teng Xiao, Zhengyu Chen, Donglin Wang, Suhang Wang
Learning How to Propagate Messages in Graph Neural Networks. CoRR (2023)
Yunkai Dang, Meijun Sun, Min Zhang, Zhengyu Chen, Xinliang Zhang, Zheng Wang, Donglin Wang
Multi-Level Correlation Network For Few-Shot Image Classification. ICME (2023)
Chau Pham, Boyi Liu, Yingxiang Yang, Zhengyu Chen, Tianyi Liu, Jianbo Yuan, Bryan A. Plummer, Zhaoran Wang, Hongxia Yang
Let Models Speak Ciphers: Multiagent Debate through Embeddings. CoRR (2023)
Teng Xiao, Zhengyu Chen, Suhang Wang
Reconsidering Learning Objectives in Unbiased Recommendation: A Distribution Shift Perspective. KDD (2023)
Teng Xiao, Huaisheng Zhu, Zhengyu Chen, Suhang Wang
Simple and Asymmetric Graph Contrastive Learning without Augmentations. NeurIPS (2023)
Zheqi Lv, Feng Wang, Kun Kuang, Yongwei Wang, Zhengyu Chen, Tao Shen, Hongxia Yang, Fei Wu
MetaNetwork: A Task-agnostic Network Parameters Generation Framework for Improving Device Model Generalization. CoRR (2022)
Jinxin Liu, Donglin Wang, Qiangxing Tian, Zhengyu Chen
Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning. AAAI (2022)
Yinjie Jiang, Zhengyu Chen, Kun Kuang, Luotian Yuan, Xinhai Ye, Zhihua Wang, Fei Wu, Ying Wei
The Role of Deconfounding in Meta-learning. ICML (2022)
Chengqiang Lu, Jianwei Zhang, Yunfei Chu, Zhengyu Chen, Jingren Zhou, Fei Wu, Haiqing Chen, Hongxia Yang
Knowledge Distillation of Transformer-based Language Models Revisited. CoRR (2022)
Teng Xiao, Zhengyu Chen, Zhimeng Guo, Zeyang Zhuang, Suhang Wang
Decoupled Self-supervised Learning for Non-Homophilous Graphs. CoRR (2022)
Teng Xiao, Zhengyu Chen, Suhang Wang
Towards Bridging Algorithm and Theory for Unbiased Recommendation. CoRR (2022)
Zhengyu Chen, Teng Xiao, Kun Kuang
BA-GNN: On Learning Bias-Aware Graph Neural Network. ICDE (2022)
Teng Xiao, Zhengyu Chen, Suhang Wang
Representation Matters When Learning From Biased Feedback in Recommendation. CIKM (2022)
Teng Xiao, Zhengyu Chen, Zhimeng Guo, Zeyang Zhuang, Suhang Wang
Decoupled Self-supervised Learning for Graphs. NeurIPS (2022)
Tiancheng Huang, Donglin Wang, Yuan Fang, Zhengyu Chen
End-to-End Open-Set Semi-Supervised Node Classification with Out-of-Distribution Detection. IJCAI (2022)