Publications

This page shows selected recent publications. For a complete list, please visit my Google Scholar profile.

2025

• Revisiting Scaling Laws for Language Models: The Role of Data Quality and Training Strategies
  Zhengyu Chen, S Wang, Teng Xiao, Y Wang, S Chen, X Cai, J He, J Wang
  The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025)

• SimPER: A Minimalist Approach to Preference Alignment without Hyperparameters
  Teng Xiao, Yige Yuan, Zhengyu Chen, Mingxiao Li, Shangsong Liang, Zhaochun Ren, Vasant G Honavar
  The 2025 International Conference on Learning Representations (ICLR 2025)

• On a connection between imitation learning and RLHF
  Teng Xiao, Yige Yuan, Mingxiao Li, Zhengyu Chen, Vasant G Honavar
  The 2025 International Conference on Learning Representations (ICLR 2025)

• Leveraging invariant principle for heterophilic graph structure distribution shifts
  Jinluan Yang, Zhengyu Chen, Teng Xiao, Yong Lin, Wenqiao Zhang, Kun Kuang
  Proceedings of the ACM Web Conference 2025 (WWW 2025)

• Attributive reasoning for hallucination diagnosis of large language models
  Yuyan Chen, Zehao Li, Shuangjie You, Zhengyu Chen, Jingwen Chang, Yi Zhang, Weinan Dai, Qingpei Guo, Yanghua Xiao
  Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI 2025)

2024

• Learning to reweight for generalizable graph neural network
  Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu
  Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI 2024)

• Simple and asymmetric graph contrastive learning without augmentations
  Teng Xiao, Huai Zhu, Zhengyu Chen, Suhang Wang
  Advances in Neural Information Processing Systems 36 (NeurIPS 2024)

• Pareto graph self-supervised learning
  Zhengyu Chen, Teng Xiao, Donglin Wang, Min Zhang
  IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2024)

• Robust Heterophily Graph Learning via Uniformity Augmentation
  Xusheng Yang, Zhengyu Chen, Yuexian Zou
  Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM 2024)

• Intelligent model update strategy for sequential recommendation
  Zheqi Lv, Wenqiao Zhang, Zhengyu Chen, Shengyu Zhang, Kun Kuang
  Proceedings of the ACM Web Conference 2024 (WWW 2024)

• Mapo: Boosting large language model performance with model-adaptive prompt optimization
  Yuyan Chen, Zhihao Wen, Ge Fan, Zhengyu Chen, Wei Wu, Dayiheng Liu, Zhixu Li, Bang Liu, Yanghua Xiao
  EMNLP 2023 Findings of the Association for Computational Linguistics (EMNLP 2024)

• Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace
  Jinluan Yang, Anke Tang, Didi Zhu, Zhengyu Chen, Li Shen, Fei Wu
  2024 International Conference on Learning Representations (ICLR 2024)

• Transferring causal mechanism over meta-representations for target-unknown cross-domain recommendation
  Shengyu Zhang, Qiaowei Miao, Ping Nie, Mengze Li, Zhengyu Chen, Fuli Feng, Kun Kuang, Fei Wu
  ACM Transactions on Information Systems 42 (4), 1-27 (TOIS 2024)

• Let’s Ask GNN: Empowering Large Language Model for Graph In-Context Learning
  Zhengyu Hu, Yichuan Li, Zhengyu Chen, Jingang Wang, Han Liu, Kyumin Lee, Kaize Ding
  Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024)

• Scaling laws across model architectures: A comparative analysis of dense and MoE models in large language models
  Siqi Wang, Zhengyu Chen, Bei Li, Keqing He, Min Zhang, Jingang Wang
  Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024)

2023

• Robustness Evaluation of Multi-Agent Reinforcement Learning Algorithms using Gaussian Noise Attacks
  Xusheng Zhang, Wei Zhang, Zhengyu Chen, Sihong He
  2023 International Conference on Learning Representations (ICLR 2023)

• DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization
  Zheqi Lv, Wenqiao Zhang, Shengyu Zhang, Zhengyu Chen, Tao Shen, Hongxia Yang, Beng Chin Ooi, Fei Wu
  Proceedings of the ACM Web Conference 2023 (WWW 2023)

• Reconsidering Learning Objectives in Unbiased Recommendation: A Distribution Shift Perspective
  Teng Xiao, Zhengyu Chen, and Suhang Wang
  Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023)

2022

• BA-GNN: On Learning Bias-Aware Graph Neural Network
  Zhengyu Chen, Teng Xiao, Kun Kuang
  38th IEEE International Conference on Data Engineering (ICDE 2022)

• End-to-End Open-Set Semi-Supervised Node Classification with Out-of-Distribution Detection
  Tiancheng Huang, Dong Wang, Ya Fang, Zhengyu Chen
  International Joint Conference on Artificial Intelligence (IJCAI 2022)

• Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning
  Jinxin Liu, Dong Wang, Qi Tian, Zhengyu Chen
  Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2022)

• The Role of Deconfounding in Meta-learning
  Yinjie Jiang, Zhengyu Chen, Luotian Yuan, Ying Wei, Kun Kuang, Fei Wu
  Proceedings of the 39th International Conference on Machine Learning (ICML 2022)

• Decoupled Self-supervised Learning for Non-Homophilous Graphs
  Teng Xiao, Zhengyu Chen, Zhimeng Guo, Zeyang Zhuang, Suhang Wang
  Conference on Neural Information Processing Systems (NeurIPS 2022)

2021

• Pareto Self-Supervised Training for Few-Shot Learning
  Zhengyu Chen, Jixie Ge, Heshen Zhan, Donglin Wang
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021)

• Deep transfer tensor decomposition with orthogonal constraint for recommender systems
  Zhengyu Chen, Ziqing Xu, and Donglin Wang
  Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI 2021)

• Multi-Initialization Meta-learning With Domain Adaptation
  Zhengyu Chen and Donglin Wang
  IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021)

• Learning How to Propagate Messages in Graph Neural Networks
  Teng Xiao, Zhengyu Chen, Donglin Wang and Suhang Wang
  ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2021)

• Improving Cold-Start Recommendation via Multi-prior Meta-learning
  Zhengyu Chen, Donglin Wang, Shiqian Yin
  The Annual European Conference on Information Retrieval (ECIR 2021)

2020

• Global and Local Tensor Factorization for Multi-Criteria Recommender System
  Shuliang Wang, Jingting Yang, Zhengyu Chen, Hanning Yuan, Jing Geng, Zhen Hai
  Cell Patterns, 1(2): 100023 (Cell Patterns 2020)

2019

• Deep Tensor Factorization for Multi-Criteria Recommender Systems
  Zhengyu Chen, Sibo Gai, Donglin Wang
  Proceedings of 2019 IEEE International Conference on Big Data (IEEE BigData 2019)