| 2025 | AAAI | Debate on Graph: A Flexible and Reliable Reasoning Framework for Large Language Models. | Jie Ma, Zhitao Gao, Qi Chai, Wangchun Sun, Pinghui Wang, Hongbin Pei, Jing Tao, Lingyun Song, Jun Liu, Chen Zhang, Lizhen Cui |
| 2025 | CVPR | TexGarment: Consistent Garment UV Texture Generation via Efficient 3D Structure-Guided Diffusion Transformer. | Jialun Liu, Jinbo Wu, Xiaobo Gao, Jiakui Hu, Bojun Xiong, Xing Liu, Chen Zhao, Hongbin Pei, Haocheng Feng, Yingying Li, Errui Ding, Jingdong Wang |
| 2025 | ICML | Non-Stationary Predictions May Be More Informative: Exploring Pseudo-Labels with a Two-Phase Pattern of Training Dynamics. | Hongbin Pei, Jingxin Hai, Yu Li, Huiqi Deng, Denghao Ma, Jie Ma, Pinghui Wang, Jing Tao, Xiaohong Guan |
| 2025 | KDD | PARSIFAL: Private and Robust Sign Federated Learning. | Runze Lei, Pinghui Wang, Juxiang Zeng, Chenxu Wang, Hongbin Pei, Junzhou Zhao |
| 2024 | AAAI | Generalized Variational Inference via Optimal Transport. | Jinjin Chi, Zhichao Zhang, Zhiyao Yang, Jihong Ouyang, Hongbin Pei |
| 2024 | AAAI | HAGO-Net: Hierarchical Geometric Massage Passing for Molecular Representation Learning. | Hongbin Pei, Taile Chen, Chen A, Huiqi Deng, Jing Tao, Pinghui Wang, Xiaohong Guan |
| 2024 | ICML | Multi-Track Message Passing: Tackling Oversmoothing and Oversquashing in Graph Learning via Preventing Heterophily Mixing. | Hongbin Pei, Yu Li, Huiqi Deng, Jingxin Hai, Pinghui Wang, Jie Ma, Jing Tao, Yuheng Xiong, Xiaohong Guan |
| 2024 | WWW | Memory Disagreement: A Pseudo-Labeling Measure from Training Dynamics for Semi-supervised Graph Learning. | Hongbin Pei, Yuheng Xiong, Pinghui Wang, Jing Tao, Jialun Liu, Huiqi Deng, Jie Ma, Xiaohong Guan |
| 2022 | CVPR | Learning Memory-Augmented Unidirectional Metrics for Cross-modality Person Re-identification. | Jialun Liu, Yifan Sun, Feng Zhu, Hongbin Pei, Yi Yang, Wenhui Li |
| 2022 | DASFAA | Definition-Augmented Jointly Training Framework for Intention Phrase Mining. | Denghao Ma, Yueguo Chen, Changyu Wang, Hongbin Pei, Yitao Zhai, Gang Zheng, Qi Chen |
| 2020 | ICLR | Geom-GCN: Geometric Graph Convolutional Networks. | Hongbin Pei, Bingzhe Wei, Kevin Chen-Chuan Chang, Yu Lei, Bo Yang |
| 2020 | SIGIR | Reinforcement Learning based Recommendation with Graph Convolutional Q-network. | Yu Lei, Hongbin Pei, Hanqi Yan, Wenjie Li |
| 2019 | SIGIR | Social Attentive Deep Q-network for Recommendation. | Yu Lei, Zhitao Wang, Wenjie Li, Hongbin Pei |
| 2018 | AAAI | Group Sparse Bayesian Learning for Active Surveillance on Epidemic Dynamics. | Hongbin Pei, Bo Yang, Jiming Liu, Lei Dong |
| 2014 | ICDM | Modeling and Mining Spatiotemporal Social Contact of Metapopulation from Heterogeneous Data. | Bo Yang, Hongbin Pei, Hechang Chen, Jiming Liu, Shang Xia |
| 2014 | TrustCom | Mining Specification of Insecure Browser Extension Behavior. | Hongbin Pei, Xiaohong Li, Guangquan Xu, Zhiyong Feng |