Peng Cui

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 214

Top Venues

CoRR

KDD

IEEE Trans. Knowl. Data Eng.

AAAI

Publications

Jiayun Wu, Jiashuo Liu, Peng Cui, Zhiwei Steven Wu
Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift. CoRR (2024)
Wenjing Yang, Haotian Wang, Haoxuan Li, Hao Zou, Ruochun Jin, Kun Kuang, Peng Cui
Your Neighbor Matters: Towards Fair Decisions Under Networked Interference. KDD (2024)
Yue He, Pengfei Tian, Renzhe Xu, Xinwei Shen, Xingxuan Zhang, Peng Cui
Model-Agnostic Random Weighting for Out-of-Distribution Generalization. KDD (2024)
Shaohua Fan, Xiao Wang, Chuan Shi, Peng Cui, Bai Wang
Generalizing Graph Neural Networks on Out-of-Distribution Graphs. IEEE Trans. Pattern Anal. Mach. Intell. 46 (1) (2024)
Jose H. Blanchet, Peng Cui, Jiajin Li, Jiashuo Liu
Stability Evaluation via Distributional Perturbation Analysis. CoRR (2024)
Han Yu, Jiashuo Liu, Xingxuan Zhang, Jiayun Wu, Peng Cui
A Survey on Evaluation of Out-of-Distribution Generalization. CoRR (2024)
Renzhe Xu, Haotian Wang, Xingxuan Zhang, Bo Li, Peng Cui
PPA-Game: Characterizing and Learning Competitive Dynamics Among Online Content Creators. CoRR (2024)
Jiashuo Liu, Jiayun Wu, Jie Peng, Xiaoyu Wu, Yang Zheng, Bo Li, Peng Cui
Enhancing Distributional Stability among Sub-populations. AISTATS (2024)
Haoxuan Li, Chunyuan Zheng, Yanghao Xiao, Peng Wu, Zhi Geng, Xu Chen, Peng Cui
Debiased Collaborative Filtering with Kernel-Based Causal Balancing. ICLR (2024)
Bing Yuan, Jiang Zhang, Aobo Lyu, Jiayun Wu, Zhipeng Wang, Mingzhe Yang, Kaiwei Liu, Muyun Mou, Peng Cui
Emergence and Causality in Complex Systems: A Survey of Causal Emergence and Related Quantitative Studies. Entropy 26 (2) (2024)
Xingxuan Zhang, Renzhe Xu, Han Yu, Hao Zou, Peng Cui
Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization. CVPR (2023)
Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li
Distributionally Robust Learning With Stable Adversarial Training. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
Xiangmeng Wang, Qian Li, Dianer Yu, Peng Cui, Zhichao Wang, Guandong Xu
Causal Disentanglement for Semantic-Aware Intent Learning in Recommendation. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Bing Yuan, Zhang Jiang, Aobo Lyu, Jiayun Wu, Zhipeng Wang, Mingzhe Yang, Kaiwei Liu, Muyun Mou, Peng Cui
Emergence and Causality in Complex Systems: A Survey on Causal Emergence and Related Quantitative Studies. CoRR (2023)
Yu Xiong, Runze Wu, Shiwei Zhao, Jianrong Tao, Xudong Shen, Tangjie Lyu, Changjie Fan, Peng Cui
A Data-Driven Decision Support Framework for Player Churn Analysis in Online Games. KDD (2023)
Xingxuan Zhang, Yue He, Renzhe Xu, Han Yu, Zheyan Shen, Peng Cui
NICO++: Towards Better Benchmarking for Domain Generalization. CVPR (2023)
Jiashuo Liu, Jiayun Wu, Tianyu Wang, Hao Zou, Bo Li, Peng Cui
Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications. CoRR (2023)
Haoxuan Li, Yanghao Xiao, Chunyuan Zheng, Peng Wu, Peng Cui
Propensity Matters: Measuring and Enhancing Balancing for Recommendation. ICML (2023)
Zimu Wang, Jiashuo Liu, Hao Zou, Xingxuan Zhang, Yue He, Dongxu Liang, Peng Cui
Exploring and Exploiting Data Heterogeneity in Recommendation. CoRR (2023)
Hao Zou, Haotian Wang, Renzhe Xu, Bo Li, Jian Pei, Ye Jun Jian, Peng Cui
Factual Observation Based Heterogeneity Learning for Counterfactual Prediction. CLeaR (2023)
Han Yu, Xingxuan Zhang, Renzhe Xu, Jiashuo Liu, Yue He, Peng Cui
Rethinking the Evaluation Protocol of Domain Generalization. CoRR (2023)
Ziwei Zhang, Chenhao Niu, Peng Cui, Jian Pei, Bo Zhang, Wenwu Zhu
Permutation-Equivariant and Proximity-Aware Graph Neural Networks With Stochastic Message Passing. IEEE Trans. Knowl. Data Eng. 35 (6) (2023)
Renzhe Xu, Haotian Wang, Xingxuan Zhang, Bo Li, Peng Cui
Competing for Shareable Arms in Multi-Player Multi-Armed Bandits. CoRR (2023)
Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Xin Wang, Wenwu Zhu, Junzhou Huang
Adversarial Attack Framework on Graph Embedding Models With Limited Knowledge. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Xingxuan Zhang, Renzhe Xu, Han Yu, Hao Zou, Peng Cui
Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization. CoRR (2023)
Yue He, Xinwei Shen, Renzhe Xu, Tong Zhang, Yong Jiang, Wenchao Zou, Peng Cui
Covariate-Shift Generalization via Random Sample Weighting. AAAI (2023)
Han Yu, Peng Cui, Yue He, Zheyan Shen, Yong Lin, Renzhe Xu, Xingxuan Zhang
Stable Learning via Sparse Variable Independence. AAAI (2023)
Xingxuan Zhang, Renzhe Xu, Han Yu, Yancheng Dong, Pengfei Tian, Peng Cui
Flatness-Aware Minimization for Domain Generalization. CoRR (2023)
Jie Peng, Hao Zou, Jiashuo Liu, Shaoming Li, Yibao Jiang, Jian Pei, Peng Cui
Offline Policy Evaluation in Large Action Spaces via Outcome-Oriented Action Grouping. WWW (2023)
Thuc Duy Le, Jiuyong Li, Robert Ness, Sofia Triantafillou, Shohei Shimizu, Peng Cui, Kun Kuang, Jian Pei, Fei Wang, Mattia Prosperi
Preface: The 2023 ACM SIGKDD Workshop on Causal Discovery, Prediction and Decision. CDPD (2023)
Renzhe Xu, Haotian Wang, Xingxuan Zhang, Bo Li, Peng Cui
Competing for Shareable Arms in Multi-Player Multi-Armed Bandits. ICML (2023)
Shixuan Liu, Changjun Fan, Kewei Cheng, Yunfei Wang, Peng Cui, Yizhou Sun, Zhong Liu
Inductive Meta-path Learning for Schema-complex Heterogeneous Information Networks. CoRR (2023)
Xingxuan Zhang, Renzhe Xu, Han Yu, Yancheng Dong, Pengfei Tian, Peng Cui
Flatness-Aware Minimization for Domain Generalization. ICCV (2023)
Jianxin Li, Lifang He, Hao Peng, Peng Cui, Charu C. Aggarwal, Philip S. Yu
Guest Editorial Introduction to the Special Issue on Anomaly Detection in Emerging Data-Driven Applications: Theory, Algorithms, and Applications. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Jiashuo Liu, Jiayun Wu, Renjie Pi, Renzhe Xu, Xingxuan Zhang, Bo Li, Peng Cui
Measure the Predictive Heterogeneity. ICLR (2023)
Jiashuo Liu, Tianyu Wang, Peng Cui, Hongseok Namkoong
On the Need for a Language Describing Distribution Shifts: Illustrations on Tabular Datasets. NeurIPS (2023)
Ziwei Zhang, Peng Cui, Jian Pei, Xin Wang, Wenwu Zhu
Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs. IEEE Trans. Knowl. Data Eng. 35 (3) (2023)
Kun Kuang, Haotian Wang, Yue Liu, Ruoxuan Xiong, Runze Wu, Weiming Lu, Yueting Zhuang, Fei Wu, Peng Cui, Bo Li
Stable Prediction With Leveraging Seed Variable. IEEE Trans. Knowl. Data Eng. 35 (6) (2023)
Haoxuan Li, Chunyuan Zheng, Peng Wu, Kun Kuang, Yue Liu, Peng Cui
Who Should Be Given Incentives? Counterfactual Optimal Treatment Regimes Learning for Recommendation. KDD (2023)
Lingfei Wu, Peng Cui, Jian Pei, Liang Zhao, Xiaojie Guo
Graph Neural Networks: Foundation, Frontiers and Applications. KDD (2023)
Ke Tu, Zhengwei Wu, Binbin Hu, Zhiqiang Zhang, Peng Cui, Xiaolong Li, Jun Zhou
A Scalable Social Recommendation Framework with Decoupled Graph Neural Network. DASFAA (4) (2023)
Xumin Chen, Ruobing Xie, Zhijie Qiu, Peng Cui, Ziwei Zhang, Shukai Liu, Shiqiang Yang, Bo Zhang, Leyu Lin
Group-based social diffusion in recommendation. World Wide Web (WWW) 26 (4) (2023)
Xiao Zhou, Yong Lin, Renjie Pi, Weizhong Zhang, Renzhe Xu, Peng Cui, Tong Zhang
Model Agnostic Sample Reweighting for Out-of-Distribution Learning. CoRR (2023)
Zhao Ziyu, Kun Kuang, Bo Li, Peng Cui, Runze Wu, Jun Xiao, Fei Wu
Differentiated matching for individual and average treatment effect estimation. Data Min. Knowl. Discov. 37 (1) (2023)
Haoyang Li, Xin Wang, Ziwei Zhang, Jianxin Ma, Peng Cui, Wenwu Zhu
Intention-aware Sequential Recommendation with Structured Intent Transition : (Extended Abstract). ICDE (2023)
Jiashuo Liu, Jiayun Wu, Bo Li, Peng Cui
Predictive Heterogeneity: Measures and Applications. CoRR (2023)
Yue He, Zimu Wang, Peng Cui, Hao Zou, Yafeng Zhang, Qiang Cui, Yong Jiang
CausPref: Causal Preference Learning for Out-of-Distribution Recommendation. CoRR (2022)
Yue He, Zimu Wang, Peng Cui, Hao Zou, Yafeng Zhang, Qiang Cui, Yong Jiang
CausPref: Causal Preference Learning for Out-of-Distribution Recommendation. WWW (2022)
Jiashuo Liu, Jiayun Wu, Jie Peng, Zheyan Shen, Bo Li, Peng Cui
Distributionally Invariant Learning: Rationalization and Practical Algorithms. CoRR (2022)
Peng Cui, Susan Athey
Stable learning establishes some common ground between causal inference and machine learning. Nat. Mach. Intell. 4 (2) (2022)
Xiao Wang, Yuanfu Lu, Chuan Shi, Ruijia Wang, Peng Cui, Shuai Mou
Dynamic Heterogeneous Information Network Embedding With Meta-Path Based Proximity. IEEE Trans. Knowl. Data Eng. 34 (3) (2022)
Yuan Meng, Yancheng Dong, Shixuan Liu, Chaohao Yuan, Yue He, Jian Pei, Peng Cui
Distilling Causal Metaknowledge from Knowledge Graphs. IEEE Data Eng. Bull. 45 (4) (2022)
Ziwei Zhang, Peng Cui, Wenwu Zhu
Deep Learning on Graphs: A Survey. IEEE Trans. Knowl. Data Eng. 34 (1) (2022)
Ruobing Xie, Qi Liu, Shukai Liu, Ziwei Zhang, Peng Cui, Bo Zhang, Leyu Lin
Improving Accuracy and Diversity in Matching of Recommendation With Diversified Preference Network. IEEE Trans. Big Data 8 (4) (2022)
Xingxuan Zhang, Zekai Xu, Renzhe Xu, Jiashuo Liu, Peng Cui, Weitao Wan, Chong Sun, Chen Li
Towards Domain Generalization in Object Detection. CoRR (2022)
Renzhe Xu, Xingxuan Zhang, Bo Li, Yafeng Zhang, Xiaolong Chen, Peng Cui
Product Ranking for Revenue Maximization with Multiple Purchases. NeurIPS (2022)
Bingzhe Wu, Jintang Li, Junchi Yu, Yatao Bian, Hengtong Zhang, Chaochao Chen, Chengbin Hou, Guoji Fu, Liang Chen, Tingyang Xu, Yu Rong, Xiaolin Zheng, Junzhou Huang, Ran He, Baoyuan Wu, Guangyu Sun, Peng Cui, Zibin Zheng, Zhe Liu, Peilin Zhao
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. CoRR (2022)
Renzhe Xu, Xingxuan Zhang, Bo Li, Yafeng Zhang, Xiaolong Chen, Peng Cui
Product Ranking for Revenue Maximization with Multiple Purchases. CoRR (2022)
Yunfei Lu, Peng Cui, Linyun Yu, Lei Li, Wenwu Zhu
Uncovering the Heterogeneous Effects of Preference Diversity on User Activeness: A Dynamic Mixture Model. KDD (2022)
Kun Kuang, Peng Cui, Hao Zou, Bo Li, Jianrong Tao, Fei Wu, Shiqiang Yang
Data-Driven Variable Decomposition for Treatment Effect Estimation. IEEE Trans. Knowl. Data Eng. 34 (5) (2022)
Zimu Wang, Yue He, Jiashuo Liu, Wenchao Zou, Philip S. Yu, Peng Cui
Invariant Preference Learning for General Debiasing in Recommendation. KDD (2022)
Xiao Zhou, Yong Lin, Renjie Pi, Weizhong Zhang, Renzhe Xu, Peng Cui, Tong Zhang
Model Agnostic Sample Reweighting for Out-of-Distribution Learning. ICML (2022)
Linjun Zhou, Peng Cui, Xingxuan Zhang, Yinan Jiang, Shiqiang Yang
Adversarial Eigen Attack on BlackBox Models. CVPR (2022)
Jiashuo Liu, Jiayun Wu, Bo Li, Peng Cui
Distributionally Robust Optimization with Data Geometry. NeurIPS (2022)
Renzhe Xu, Xingxuan Zhang, Peng Cui, Bo Li, Zheyan Shen, Jiazheng Xu
Regulatory Instruments for Fair Personalized Pricing. WWW (2022)
Xingxuan Zhang, Yue He, Renzhe Xu, Han Yu, Zheyan Shen, Peng Cui
NICO++: Towards Better Benchmarking for Domain Generalization. CoRR (2022)
Xingxuan Zhang, Yue He, Tan Wang, Jiaxin Qi, Han Yu, Zimu Wang, Jie Peng, Renzhe Xu, Zheyan Shen, Yulei Niu, Hanwang Zhang, Peng Cui
NICO Challenge: Out-of-Distribution Generalization for Image Recognition Challenges. ECCV Workshops (6) (2022)
Renzhe Xu, Xingxuan Zhang, Zheyan Shen, Tong Zhang, Peng Cui
A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization. ICML (2022)
Haoyang Li, Xin Wang, Ziwei Zhang, Jianxin Ma, Peng Cui, Wenwu Zhu
Intention-Aware Sequential Recommendation With Structured Intent Transition. IEEE Trans. Knowl. Data Eng. 34 (11) (2022)
Minghao Zhao, Qilin Deng, Kai Wang, Runze Wu, Jianrong Tao, Changjie Fan, Liang Chen, Peng Cui
Bilateral Filtering Graph Convolutional Network for Multi-relational Social Recommendation in the Power-law Networks. ACM Trans. Inf. Syst. 40 (2) (2022)
Renzhe Xu, Xingxuan Zhang, Peng Cui, Bo Li, Zheyan Shen, Jiazheng Xu
Regulatory Instruments for Fair Personalized Pricing. CoRR (2022)
Yong Lin, Shengyu Zhu, Lu Tan, Peng Cui
ZIN: When and How to Learn Invariance Without Environment Partition? NeurIPS (2022)
Xingxuan Zhang, Linjun Zhou, Renzhe Xu, Peng Cui, Zheyan Shen, Haoxin Liu
Towards Unsupervised Domain Generalization. CVPR (2022)
Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li
Distributionally Robust Learning with Stable Adversarial Training. CoRR (2021)
Renzhe Xu, Peng Cui, Zheyan Shen, Xingxuan Zhang, Tong Zhang
Why Stable Learning Works? A Theory of Covariate Shift Generalization. CoRR (2021)
Yadan Luo, Zi Huang, Yang Li, Fumin Shen, Yang Yang, Peng Cui
Collaborative Learning for Extremely Low Bit Asymmetric Hashing. IEEE Trans. Knowl. Data Eng. 33 (12) (2021)
Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Xin Wang, Wenwu Zhu, Junzhou Huang
Adversarial Attack Framework on Graph Embedding Models with Limited Knowledge. CoRR (2021)
Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen
Heterogeneous Risk Minimization. ICML (2021)
Qilin Deng, Hao Li, Kai Wang, Zhipeng Hu, Runze Wu, Linxia Gong, Jianrong Tao, Changjie Fan, Peng Cui
Globally Optimized Matchmaking in Online Games. KDD (2021)
Xingxuan Zhang, Linjun Zhou, Renzhe Xu, Peng Cui, Zheyan Shen, Haoxin Liu
Domain-Irrelevant Representation Learning for Unsupervised Domain Generalization. CoRR (2021)
Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen
Kernelized Heterogeneous Risk Minimization. CoRR (2021)
Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen
Heterogeneous Risk Minimization. CoRR (2021)
Meiqi Zhu, Xiao Wang, Chuan Shi, Houye Ji, Peng Cui
Interpreting and Unifying Graph Neural Networks with An Optimization Framework. WWW (2021)
Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen
Kernelized Heterogeneous Risk Minimization. NeurIPS (2021)
Hande Dong, Jiawei Chen, Fuli Feng, Xiangnan He, Shuxian Bi, Zhaolin Ding, Peng Cui
On the Equivalence of Decoupled Graph Convolution Network and Label Propagation. WWW (2021)
Shaohua Fan, Xiao Wang, Chuan Shi, Peng Cui, Bai Wang
Generalizing Graph Neural Networks on Out-Of-Distribution Graphs. CoRR (2021)
Xingxuan Zhang, Peng Cui, Renzhe Xu, Linjun Zhou, Yue He, Zheyan Shen
Deep Stable Learning for Out-Of-Distribution Generalization. CoRR (2021)
Zheyan Shen, Jiashuo Liu, Yue He, Xingxuan Zhang, Renzhe Xu, Han Yu, Peng Cui
Towards Out-Of-Distribution Generalization: A Survey. CoRR (2021)
Yue He, Zheyan Shen, Peng Cui
Towards Non-I.I.D. image classification: A dataset and baselines. Pattern Recognit. 110 (2021)
Yue He, Yancheng Dong, Peng Cui, Yuhang Jiao, Xiaowei Wang, Ji Liu, Philip S. Yu
Purify and Generate: Learning Faithful Item-to-Item Graph from Noisy User-Item Interaction Behaviors. KDD (2021)
Meiqi Zhu, Xiao Wang, Chuan Shi, Houye Ji, Peng Cui
Interpreting and Unifying Graph Neural Networks with An Optimization Framework. CoRR (2021)
Ruobing Xie, Qi Liu, Shukai Liu, Ziwei Zhang, Peng Cui, Bo Zhang, Leyu Lin
Improving Accuracy and Diversity in Matching of Recommendation with Diversified Preference Network. CoRR (2021)
Kun Kuang, Yunzhe Li, Bo Li, Peng Cui, Hongxia Yang, Jianrong Tao, Fei Wu
Continuous treatment effect estimation via generative adversarial de-confounding. Data Min. Knowl. Discov. 35 (6) (2021)
Yue He, Peng Cui, Zheyan Shen, Renzhe Xu, Furui Liu, Yong Jiang
DARING: Differentiable Causal Discovery with Residual Independence. KDD (2021)
Xin Wang, Peng Cui, Wenwu Zhu
Out-of-distribution Generalization and Its Applications for Multimedia. ACM Multimedia (2021)
Xingxuan Zhang, Peng Cui, Renzhe Xu, Linjun Zhou, Yue He, Zheyan Shen
Deep Stable Learning for Out-of-Distribution Generalization. CVPR (2021)
Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li, Yishi Lin
Stable Adversarial Learning under Distributional Shifts. AAAI (2021)
Haoxin Liu, Ziwei Zhang, Peng Cui, Yafeng Zhang, Qiang Cui, Jiashuo Liu, Wenwu Zhu
Signed Graph Neural Network with Latent Groups. KDD (2021)
Renzhe Xu, Peng Cui, Kun Kuang, Bo Li, Linjun Zhou, Zheyan Shen, Wei Cui
Algorithmic Decision Making with Conditional Fairness. CoRR (2020)
Fei Wang, Peng Cui, Jian Pei, Yangqiu Song, Chengxi Zang
Recent Advances on Graph Analytics and Its Applications in Healthcare. KDD (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Peng Cui