Pei, Jian

26 publications

ICLR 2024 Fair and Efficient Contribution Valuation for Vertical Federated Learning Zhenan Fan, Huang Fang, Xinglu Wang, Zirui Zhou, Jian Pei, Michael Friedlander, Yong Zhang

ICML 2024 Position: TrustLLM: Trustworthiness in Large Language Models Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Yang Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao

AAAI 2023 A Graph Fusion Approach for Cross-Lingual Machine Reading Comprehension Zenan Xu, Linjun Shou, Jian Pei, Ming Gong, Qinliang Su, Xiaojun Quan, Daxin Jiang

CLeaR 2023 Factual Observation Based Heterogeneity Learning for Counterfactual Prediction Hao Zou, Haotian Wang, Renzhe Xu, Bo Li, Jian Pei, Ye Jun Jian, Peng Cui

FnTML 2023 Graph Neural Networks for Natural Language Processing: A Survey Lingfei Wu, Yu Chen, Kai Shen, Xiaojie Guo, Hanning Gao, Shucheng Li, Jian Pei, Bo Long

AAAI 2023 Identify Event Causality with Knowledge and Analogy Sifan Wu, Ruihui Zhao, Yefeng Zheng, Jian Pei, Bang Liu

ICML 2023 LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation Rui Xue, Haoyu Han, Mohamadali Torkamani, Jian Pei, Xiaorui Liu

JMLR 2022 Accelerated Zeroth-Order and First-Order Momentum Methods from Mini to Minimax Optimization Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang

AAAI 2022 Cosine Model Watermarking Against Ensemble Distillation Laurent Charette, Lingyang Chu, Yizhou Chen, Jian Pei, Lanjun Wang, Yong Zhang

AAAI 2022 From Good to Best: Two-Stage Training for Cross-Lingual Machine Reading Comprehension Nuo Chen, Linjun Shou, Ming Gong, Jian Pei

NeurIPS 2022 Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum Nian Liu, Xiao Wang, Deyu Bo, Chuan Shi, Jian Pei

ICCV 2021 Finding Representative Interpretations on Convolutional Neural Networks Peter Cho-Ho Lam, Lingyang Chu, Maxim Torgonskiy, Jian Pei, Yong Zhang, Lanjun Wang

AAAI 2021 Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Xiyue Zhang, Hongsheng Yang, Jian Pei, Liefeng Bo

AAAI 2021 Personalized Cross-Silo Federated Learning on Non-IID Data Yutao Huang, Lingyang Chu, Zirui Zhou, Lanjun Wang, Jiangchuan Liu, Jian Pei, Yong Zhang

AAAI 2021 Reinforced Multi-Teacher Selection for Knowledge Distillation Fei Yuan, Linjun Shou, Jian Pei, Wutao Lin, Ming Gong, Yan Fu, Daxin Jiang

NeurIPS 2021 Robust Counterfactual Explanations on Graph Neural Networks Mohit Bajaj, Lingyang Chu, Zi Yu Xue, Jian Pei, Lanjun Wang, Peter Cho-Ho Lam, Yong Zhang

CVPRW 2020 LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking Guanghan Ning, Jian Pei, Heng Huang

ICML 2020 Momentum-Based Policy Gradient Methods Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang

IJCAI 2020 Sinkhorn Regression Lei Luo, Jian Pei, Heng Huang

ICML 2019 Demystifying Dropout Hongchang Gao, Jian Pei, Heng Huang

AAAI 2018 TIMERS: Error-Bounded SVD Restart on Dynamic Networks Ziwei Zhang, Peng Cui, Jian Pei, Xiao Wang, Wenwu Zhu

AAAI 2017 Community Preserving Network Embedding Xiao Wang, Peng Cui, Jing Wang, Jian Pei, Wenwu Zhu, Shiqiang Yang

AAAI 2013 Towards Cohesive Anomaly Mining Yun Xiong, Yangyong Zhu, Philip S. Yu, Jian Pei

ECML-PKDD 2009 Debt Detection in Social Security by Sequence Classification Using Both Positive and Negative Patterns Yanchang Zhao, Huaifeng Zhang, Shanshan Wu, Jian Pei, Longbing Cao, Chengqi Zhang, Hans Bohlscheid

IJCAI 2009 Early Prediction on Time Series: A Nearest Neighbor Approach Zhengzheng Xing, Jian Pei, Philip S. Yu

AAAI 2006 Minimum Description Length Principle: Generators Are Preferable to Closed Patterns Jinyan Li, Haiquan Li, Limsoon Wong, Jian Pei, Guozhu Dong