Peng Cui - RankMe

342 papers A* 143A 11B 2C 2Journal 153Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Knowledge-Informed Pretrained Model for Causal Discovery. CoRR Wenbo Xu, Yue He, Yunhai Wang, Xingxuan Zhang, Kun Kuang, Yueguo Chen, Peng Cui
2026	A*	`conf`	Error Slice Discovery via Manifold Compactness. AAAI Han Yu, Hao Zou, Jiashuo Liu, Renzhe Xu, Yue He, Xingxuan Zhang, Peng Cui
2026	A*	`conf`	Generating Risky Samples with Conformity Constraints via Diffusion Models. AAAI Han Yu, Hao Zou, Xingxuan Zhang, Zhengyi Wang, Yue He, Kehan Li, Peng Cui
2026	J	`jnl`	Revisiting Transformation Invariant Geometric Deep Learning: An Initial Representation Perspective. IEEE Trans. Pattern Anal. Mach. Intell. Ziwei Zhang, Xin Wang, Zeyang Zhang, Peng Cui, Wenwu Zhu
2026	J	`jnl`	TFMLinker: Universal Link Predictor by Graph In-Context Learning with Tabular Foundation Models. CoRR Tianyin Liao, Chunyu Hu, Yicheng Sui, Xingxuan Zhang, Peng Cui, Jianxin Li, Ziwei Zhang
2025	J	`jnl`	AdaptSel: Adaptive Selection of Biased and Debiased Recommendation Models for Varying Test Environments. ACM Trans. Knowl. Discov. Data Zimu Wang, Hao Zou, Jiashuo Liu, Jiayun Wu, Pengfei Tian, Yue He, Peng Cui
2025	A*	`conf`	COUNTS: Benchmarking Object Detectors and Multimodal Large Language Models under Distribution Shifts. CVPR Jiansheng Li, Xingxuan Zhang, Hao Zou, Yige Guo, Renzhe Xu, Yilong Liu, Chuzhao Zhu, Yue He, Peng Cui
2025	J	`jnl`	COUNTS: Benchmarking Object Detectors and Multimodal Large Language Models under Distribution Shifts. CoRR Jiansheng Li, Xingxuan Zhang, Hao Zou, Yige Guo, Renzhe Xu, Yilong Liu, Chuzhao Zhu, Yue He, Peng Cui
2025	—	`conf`	Data Heterogeneity Modeling for Trustworthy Machine Learning. KDD (2) Jiashuo Liu, Peng Cui
2025	J	`jnl`	Environment Inference for Learning Generalizable Dynamical System. CoRR Shixuan Liu, Yue He, Haotian Wang, Wenjing Yang, Yunfei Wang, Peng Cui, Zhong Liu
2025	J	`jnl`	Error Slice Discovery via Manifold Compactness. CoRR Han Yu, Jiashuo Liu, Hao Zou, Renzhe Xu, Yue He, Xingxuan Zhang, Peng Cui
2025	J	`jnl`	Exploring and Exploiting Data Heterogeneity in Recommendation. ACM Trans. Knowl. Discov. Data Zimu Wang, Jiashuo Liu, Hao Zou, Xingxuan Zhang, Yue He, Dongxu Liang, Peng Cui
2025	J	`jnl`	Generalizable Causal Reinforcement Learning for Out-of-Distribution Environments. IEEE Trans. Ind. Informatics Sili Huang, Jifeng Hu, Hechang Chen, Peng Cui, Haiyin Piao, Lichao Sun, Bo Yang
2025	J	`jnl`	Generating Risky Samples with Conformity Constraints via Diffusion Models. CoRR Han Yu, Hao Zou, Xingxuan Zhang, Zhengyi Wang, Yue He, Kehan Li, Peng Cui
2025	A*	`conf`	Going Beyond Static: Understanding Shifts with Time-Series Attribution. ICLR Jiashuo Liu, Nabeel Seedat, Peng Cui, Mihaela van der Schaar
2025	A*	`conf`	Learning Feasible Causal Algorithmic Recourse: A Prior Structural Knowledge Free Approach. WWW Haotian Wang, Hao Zou, Xueguang Zhou, Shangwen Wang, Wenjing Yang, Peng Cui
2025	J	`jnl`	LimiX: Unleashing Structured-Data Modeling Capability for Generalist Intelligence. CoRR Xingxuan Zhang, Gang Ren, Han Yu, Hao Yuan, Hui Wang, Jiansheng Li, Jiayun Wu, Lang Mo, Li Mao, Mingchao Hao, Ningbo Dai, Renzhe Xu, Shuyang Li, Tianyang Zhang, Yue He, Yuanrui Wang, Yunjia Zhang, Zijing Xu, Dongzhe Li, Fang Gao, Hao Zou, Jiandong Liu, Jiashuo Liu, Jiawei Xu, Kaijie Cheng, Kehan Li, Linjun Zhou, Qing Li, Shaohua Fan, Xiaoyu Lin, Xinyan Han, Xuanyue Li, Yan Lu, Yuan Xue, Yuanyuan Jiang, Zimu Wang, Zhenlei Wang, Peng Cui
2025	J	`jnl`	ODP-Bench: Benchmarking Out-of-Distribution Performance Prediction. CoRR Han Yu, Kehan Li, Dongbai Li, Yue He, Xingxuan Zhang, Peng Cui
2025	A*	`conf`	On the Out-Of-Distribution Generalization of Large Multimodal Models. CVPR Xingxuan Zhang, Jiansheng Li, Wenjing Chu, Junjia Hai, Renzhe Xu, Yuqing Yang, Shikai Guan, Jiazheng Xu, Liping Jing, Peng Cui
2025	—	`conf`	PDMC: Generating Feasible Algorithmic Recourse via Perturbation Data Manifold Constraint. KDD (2) Zimu Wang, Hao Zou, Han Yu, Shaohua Fan, Haotian Wang, Yue He, Peng Cui
2025	—	`conf`	PPA-Game: Characterizing and Learning Competitive Dynamics Among Online Content Creators. KDD (2) Renzhe Xu, Haotian Wang, Xingxuan Zhang, Bo Li, Peng Cui
2025	J	`jnl`	Rule Learning for Knowledge Graph Reasoning under Agnostic Distribution Shift. CoRR Shixuan Liu, Yue He, Yunfei Wang, Hao Zou, Haoxiang Cheng, Wenjing Yang, Peng Cui, Zhong Liu
2025	J	`jnl`	Sample Weight Averaging for Stable Prediction. CoRR Han Yu, Yue He, Renzhe Xu, Dongbai Li, Jiayin Zhang, Wenchao Zou, Peng Cui
2025	A*	`conf`	Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph. ICML Weihuang Zheng, Jiashuo Liu, Jiaxing Li, Jiayun Wu, Peng Cui, Youyong Kong
2025	A*	`conf`	Understanding the Generalization of In-Context Learning in Transformers: An Empirical Study. ICLR Xingxuan Zhang, Haoran Wang, Jiansheng Li, Yuan Xue, Shikai Guan, Renzhe Xu, Hao Zou, Han Yu, Peng Cui
2025	J	`jnl`	Understanding the Generalization of In-Context Learning in Transformers: An Empirical Study. CoRR Xingxuan Zhang, Haoran Wang, Jiansheng Li, Yuan Xue, Shikai Guan, Renzhe Xu, Hao Zou, Han Yu, Peng Cui
2024	J	`jnl`	A Survey on Evaluation of Out-of-Distribution Generalization. CoRR Han Yu, Jiashuo Liu, Xingxuan Zhang, Jiayun Wu, Peng Cui
2024	A*	`conf`	AI for Education (AI4EDU): Advancing Personalized Education with LLM and Adaptive Learning. KDD Qingsong Wen, Jing Liang, Carles Sierra, Rose Luckin, Richard Jiarui Tong, Zitao Liu, Peng Cui, Jiliang Tang
2024	A*	`conf`	Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift. NeurIPS Jiayun Wu, Jiashuo Liu, Peng Cui, Steven Wu
2024	J	`jnl`	Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift. CoRR Jiayun Wu, Jiashuo Liu, Peng Cui, Zhiwei Steven Wu
2024	A*	`conf`	Debiased Collaborative Filtering with Kernel-Based Causal Balancing. ICLR Haoxuan Li, Chunyuan Zheng, Yanghao Xiao, Peng Wu, Zhi Geng, Xu Chen, Peng Cui
2024	J	`jnl`	Debiased Collaborative Filtering with Kernel-Based Causal Balancing. CoRR Haoxuan Li, Chunyuan Zheng, Yanghao Xiao, Peng Wu, Zhi Geng, Xu Chen, Peng Cui
2024	A*	`conf`	Domain-wise Data Acquisition to Improve Performance under Distribution Shift. ICML Yue He, Dongbai Li, Pengfei Tian, Han Yu, Jiashuo Liu, Hao Zou, Peng Cui
2024	J	`jnl`	Emergence and Causality in Complex Systems: A Survey of Causal Emergence and Related Quantitative Studies. Entropy Bing Yuan, Jiang Zhang, Aobo Lyu, Jiayun Wu, Zhipeng Wang, Mingzhe Yang, Kaiwei Liu, Muyun Mou, Peng Cui
2024	A	`conf`	Enhancing Distributional Stability among Sub-populations. AISTATS Jiashuo Liu, Jiayun Wu, Jie Peng, Xiaoyu Wu, Yang Zheng, Bo Li, Peng Cui
2024	J	`jnl`	GRASS: Learning Spatial-Temporal Properties From Chainlike Cascade Data for Microscopic Diffusion Prediction. IEEE Trans. Neural Networks Learn. Syst. Huacheng Li, Chunhe Xia, Tianbo Wang, Zhao Wang, Peng Cui, Xiaojian Li
2024	J	`jnl`	Generalizing Graph Neural Networks on Out-of-Distribution Graphs. IEEE Trans. Pattern Anal. Mach. Intell. Shaohua Fan, Xiao Wang, Chuan Shi, Peng Cui, Bai Wang
2024	A*	`conf`	Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications. ICML Jiashuo Liu, Jiayun Wu, Tianyu Wang, Hao Zou, Bo Li, Peng Cui
2024	J	`jnl`	Inductive Meta-Path Learning for Schema-Complex Heterogeneous Information Networks. IEEE Trans. Pattern Anal. Mach. Intell. Shixuan Liu, Changjun Fan, Kewei Cheng, Yunfei Wang, Peng Cui, Yizhou Sun, Zhong Liu
2024	—	`conf`	Learning Feasible Causal Algorithmic Recourse without Prior Structure. ICDM (Workshops) Haotian Wang, Hao Zou, Xueguang Zhou, Shangwen Wang, Long Lan, Wenjing Yang, Peng Cui
2024	A*	`conf`	Model-Agnostic Random Weighting for Out-of-Distribution Generalization. KDD Yue He, Pengfei Tian, Renzhe Xu, Xinwei Shen, Xingxuan Zhang, Peng Cui
2024	J	`jnl`	On the Out-Of-Distribution Generalization of Multimodal Large Language Models. CoRR Xingxuan Zhang, Jiansheng Li, Wenjing Chu, Junjia Hai, Renzhe Xu, Yuqing Yang, Shikai Guan, Jiazheng Xu, Peng Cui
2024	J	`jnl`	PPA-Game: Characterizing and Learning Competitive Dynamics Among Online Content Creators. CoRR Renzhe Xu, Haotian Wang, Xingxuan Zhang, Bo Li, Peng Cui
2024	A*	`conf`	Rethinking the Evaluation Protocol of Domain Generalization. CVPR Han Yu, Xingxuan Zhang, Renzhe Xu, Jiashuo Liu, Yue He, Peng Cui
2024	A*	`conf`	Stability Evaluation through Distributional Perturbation Analysis. ICML José H. Blanchet, Peng Cui, Jiajin Li, Jiashuo Liu
2024	J	`jnl`	Stability Evaluation via Distributional Perturbation Analysis. CoRR Jose H. Blanchet, Peng Cui, Jiajin Li, Jiashuo Liu
2024	J	`jnl`	Stable Cox regression for survival analysis under distribution shifts. Nat. Mac. Intell. Shaohua Fan, Renzhe Xu, Qian Dong, Yue He, Cheng Chang, Peng Cui
2024	J	`jnl`	Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph. CoRR Weihuang Zheng, Jiashuo Liu, Jiaxing Li, Jiayun Wu, Peng Cui, Youyong Kong
2024	A*	`conf`	Your Neighbor Matters: Towards Fair Decisions Under Networked Interference. KDD Wenjing Yang, Haotian Wang, Haoxuan Li, Hao Zou, Ruochun Jin, Kun Kuang, Peng Cui
2023	A*	`conf`	A Data-Driven Decision Support Framework for Player Churn Analysis in Online Games. KDD Yu Xiong, Runze Wu, Shiwei Zhao, Jianrong Tao, Xudong Shen, Tangjie Lyu, Changjie Fan, Peng Cui
2023	—	`conf`	A Scalable Social Recommendation Framework with Decoupled Graph Neural Network. DASFAA (4) Ke Tu, Zhengwei Wu, Binbin Hu, Zhiqiang Zhang, Peng Cui, Xiaolong Li, Jun Zhou
2023	J	`jnl`	Adversarial Attack Framework on Graph Embedding Models With Limited Knowledge. IEEE Trans. Knowl. Data Eng. Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Xin Wang, Wenwu Zhu, Junzhou Huang
2023	J	`jnl`	Causal Disentanglement for Semantic-Aware Intent Learning in Recommendation. IEEE Trans. Knowl. Data Eng. Xiangmeng Wang, Qian Li, Dianer Yu, Peng Cui, Zhichao Wang, Guandong Xu
2023	A*	`conf`	Competing for Shareable Arms in Multi-Player Multi-Armed Bandits. ICML Renzhe Xu, Haotian Wang, Xingxuan Zhang, Bo Li, Peng Cui
2023	J	`jnl`	Competing for Shareable Arms in Multi-Player Multi-Armed Bandits. CoRR Renzhe Xu, Haotian Wang, Xingxuan Zhang, Bo Li, Peng Cui
2023	A*	`conf`	Covariate-Shift Generalization via Random Sample Weighting. AAAI Yue He, Xinwei Shen, Renzhe Xu, Tong Zhang, Yong Jiang, Wenchao Zou, Peng Cui
2023	J	`jnl`	Differentiated matching for individual and average treatment effect estimation. Data Min. Knowl. Discov. Ziyu Zhao, Kun Kuang, Bo Li, Peng Cui, Runze Wu, Jun Xiao, Fei Wu
2023	J	`jnl`	Distributionally Robust Learning With Stable Adversarial Training. IEEE Trans. Knowl. Data Eng. Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li
2023	J	`jnl`	Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs. IEEE Trans. Knowl. Data Eng. Ziwei Zhang, Peng Cui, Jian Pei, Xin Wang, Wenwu Zhu
2023	J	`jnl`	Emergence and Causality in Complex Systems: A Survey on Causal Emergence and Related Quantitative Studies. CoRR Bing Yuan, Zhang Jiang, Aobo Lyu, Jiayun Wu, Zhipeng Wang, Mingzhe Yang, Kaiwei Liu, Muyun Mou, Peng Cui
2023	J	`jnl`	Exploring and Exploiting Data Heterogeneity in Recommendation. CoRR Zimu Wang, Jiashuo Liu, Hao Zou, Xingxuan Zhang, Yue He, Dongxu Liang, Peng Cui
2023	—	`conf`	Factual Observation Based Heterogeneity Learning for Counterfactual Prediction. CLeaR Hao Zou, Haotian Wang, Renzhe Xu, Bo Li, Jian Pei, Ye Jun Jian, Peng Cui
2023	A*	`conf`	Flatness-Aware Minimization for Domain Generalization. ICCV Xingxuan Zhang, Renzhe Xu, Han Yu, Yancheng Dong, Pengfei Tian, Peng Cui
2023	J	`jnl`	Flatness-Aware Minimization for Domain Generalization. CoRR Xingxuan Zhang, Renzhe Xu, Han Yu, Yancheng Dong, Pengfei Tian, Peng Cui
2023	J	`jnl`	Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications. CoRR Jiashuo Liu, Jiayun Wu, Tianyu Wang, Hao Zou, Bo Li, Peng Cui
2023	A*	`conf`	Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization. CVPR Xingxuan Zhang, Renzhe Xu, Han Yu, Hao Zou, Peng Cui
2023	J	`jnl`	Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization. CoRR Xingxuan Zhang, Renzhe Xu, Han Yu, Hao Zou, Peng Cui
2023	A*	`conf`	Graph Neural Networks: Foundation, Frontiers and Applications. KDD Lingfei Wu, Peng Cui, Jian Pei, Liang Zhao, Xiaojie Guo
2023	J	`jnl`	Group-based social diffusion in recommendation. World Wide Web (WWW) Xumin Chen, Ruobing Xie, Zhijie Qiu, Peng Cui, Ziwei Zhang, Shukai Liu, Shiqiang Yang, Bo Zhang, Leyu Lin
2023	J	`jnl`	Guest Editorial Introduction to the Special Issue on Anomaly Detection in Emerging Data-Driven Applications: Theory, Algorithms, and Applications. IEEE Trans. Knowl. Data Eng. Jianxin Li, Lifang He, Hao Peng, Peng Cui, Charu C. Aggarwal, Philip S. Yu
2023	J	`jnl`	Inductive Meta-path Learning for Schema-complex Heterogeneous Information Networks. CoRR Shixuan Liu, Changjun Fan, Kewei Cheng, Yunfei Wang, Peng Cui, Yizhou Sun, Zhong Liu
2023	A*	`conf`	Intention-aware Sequential Recommendation with Structured Intent Transition : (Extended Abstract). ICDE Haoyang Li, Xin Wang, Ziwei Zhang, Jianxin Ma, Peng Cui, Wenwu Zhu
2023	A*	`conf`	Measure the Predictive Heterogeneity. ICLR Jiashuo Liu, Jiayun Wu, Renjie Pi, Renzhe Xu, Xingxuan Zhang, Bo Li, Peng Cui
2023	J	`jnl`	Meta Adaptive Task Sampling for Few-Domain Generalization. CoRR Zheyan Shen, Han Yu, Peng Cui, Jiashuo Liu, Xingxuan Zhang, Linjun Zhou, Furui Liu
2023	J	`jnl`	Model Agnostic Sample Reweighting for Out-of-Distribution Learning. CoRR Xiao Zhou, Yong Lin, Renjie Pi, Weizhong Zhang, Renzhe Xu, Peng Cui, Tong Zhang
2023	A*	`conf`	NICO++: Towards Better Benchmarking for Domain Generalization. CVPR Xingxuan Zhang, Yue He, Renzhe Xu, Han Yu, Zheyan Shen, Peng Cui
2023	A*	`conf`	Offline Policy Evaluation in Large Action Spaces via Outcome-Oriented Action Grouping. WWW Jie Peng, Hao Zou, Jiashuo Liu, Shaoming Li, Yibao Jiang, Jian Pei, Peng Cui
2023	A*	`conf`	On the Need for a Language Describing Distribution Shifts: Illustrations on Tabular Datasets. NeurIPS Jiashuo Liu, Tianyu Wang, Peng Cui, Hongseok Namkoong
2023	J	`jnl`	On the Need for a Language Describing Distribution Shifts: Illustrations on Tabular Datasets. CoRR Jiashuo Liu, Tianyu Wang, Peng Cui, Hongseok Namkoong
2023	J	`jnl`	Permutation-Equivariant and Proximity-Aware Graph Neural Networks With Stochastic Message Passing. IEEE Trans. Knowl. Data Eng. Ziwei Zhang, Chenhao Niu, Peng Cui, Jian Pei, Bo Zhang, Wenwu Zhu
2023	J	`jnl`	Predictive Heterogeneity: Measures and Applications. CoRR Jiashuo Liu, Jiayun Wu, Bo Li, Peng Cui
2023	—	`conf`	Preface: The 2023 ACM SIGKDD Workshop on Causal Discovery, Prediction and Decision. CDPD Thuc Duy Le, Jiuyong Li, Robert Osazuwa Ness, Sofia Triantafillou, Shohei Shimizu, Peng Cui, Kun Kuang, Jian Pei, Fei Wang, Mattia Prosperi
2023	A*	`conf`	Propensity Matters: Measuring and Enhancing Balancing for Recommendation. ICML Haoxuan Li, Yanghao Xiao, Chunyuan Zheng, Peng Wu, Peng Cui
2023	A*	`conf`	Provably Invariant Learning without Domain Information. ICML Xiaoyu Tan, Lin Yong, Shengyu Zhu, Chao Qu, Xihe Qiu, Yinghui Xu, Peng Cui, Yuan Qi
2023	J	`jnl`	Rethinking the Evaluation Protocol of Domain Generalization. CoRR Han Yu, Xingxuan Zhang, Renzhe Xu, Jiashuo Liu, Yue He, Peng Cui
2023	A*	`conf`	Stable Learning via Sparse Variable Independence. AAAI Han Yu, Peng Cui, Yue He, Zheyan Shen, Yong Lin, Renzhe Xu, Xingxuan Zhang
2023	J	`jnl`	Stable Prediction With Leveraging Seed Variable. IEEE Trans. Knowl. Data Eng. Kun Kuang, Haotian Wang, Yue Liu, Ruoxuan Xiong, Runze Wu, Weiming Lu, Yueting Zhuang, Fei Wu, Peng Cui, Bo Li
2023	—	`ed.`	The KDD'23 Workshop on Causal Discovery, Prediction and Decision, 07 August 2023, Long Beach, CA, USA CDPD Thuc Duy Le, Jiuyong Li, Robert Osazuwa Ness, Sofia Triantafillou, Shohei Shimizu, Peng Cui, Kun Kuang, Jian Pei, Fei Wang, Mattia Prosperi
2023	—	`conf`	Tutorials at The Web Conference 2023. WWW (Companion Volume) Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne R. Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu
2023	A*	`conf`	Who Should Be Given Incentives? Counterfactual Optimal Treatment Regimes Learning for Recommendation. KDD Haoxuan Li, Chunyuan Zheng, Peng Wu, Kun Kuang, Yue Liu, Peng Cui
2022	A*	`conf`	A Graph Learning Based Framework for Billion-Scale Offline User Identification. KDD Daixin Wang, Zujian Weng, Zhengwei Wu, Zhiqiang Zhang, Peng Cui, Hongwei Zhao, Jun Zhou
2022	J	`jnl`	A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. CoRR 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
2022	A*	`conf`	A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization. ICML Renzhe Xu, Xingxuan Zhang, Zheyan Shen, Tong Zhang, Peng Cui
2022	A*	`conf`	Adversarial Eigen Attack on BlackBox Models. CVPR Linjun Zhou, Peng Cui, Xingxuan Zhang, Yinan Jiang, Shiqiang Yang
2022	J	`jnl`	Bilateral Filtering Graph Convolutional Network for Multi-relational Social Recommendation in the Power-law Networks. ACM Trans. Inf. Syst. Minghao Zhao, Qilin Deng, Kai Wang, Runze Wu, Jianrong Tao, Changjie Fan, Liang Chen, Peng Cui
2022	A*	`conf`	CausPref: Causal Preference Learning for Out-of-Distribution Recommendation. WWW Yue He, Zimu Wang, Peng Cui, Hao Zou, Yafeng Zhang, Qiang Cui, Yong Jiang
2022	J	`jnl`	CausPref: Causal Preference Learning for Out-of-Distribution Recommendation. CoRR Yue He, Zimu Wang, Peng Cui, Hao Zou, Yafeng Zhang, Qiang Cui, Yong Jiang
2022	J	`jnl`	Causal Disentanglement for Semantics-Aware Intent Learning in Recommendation. CoRR Xiangmeng Wang, Qian Li, Dianer Yu, Peng Cui, Zhichao Wang, Guandong Xu
2022	A*	`conf`	Counterfactual Prediction for Outcome-Oriented Treatments. ICML Hao Zou, Bo Li, Jiangang Han, Shuiping Chen, Xuetao Ding, Peng Cui
2022	J	`jnl`	Data-Driven Variable Decomposition for Treatment Effect Estimation. IEEE Trans. Knowl. Data Eng. Kun Kuang, Peng Cui, Hao Zou, Bo Li, Jianrong Tao, Fei Wu, Shiqiang Yang
2022	J	`jnl`	Deep Learning on Graphs: A Survey. IEEE Trans. Knowl. Data Eng. Ziwei Zhang, Peng Cui, Wenwu Zhu
2022	J	`jnl`	Distilling Causal Metaknowledge from Knowledge Graphs. IEEE Data Eng. Bull. Yuan Meng, Yancheng Dong, Shixuan Liu, Chaohao Yuan, Yue He, Jian Pei, Peng Cui
2022	J	`jnl`	Distributionally Invariant Learning: Rationalization and Practical Algorithms. CoRR Jiashuo Liu, Jiayun Wu, Jie Peng, Zheyan Shen, Bo Li, Peng Cui
2022	A*	`conf`	Distributionally Robust Optimization with Data Geometry. NeurIPS Jiashuo Liu, Jiayun Wu, Bo Li, Peng Cui
2022	J	`jnl`	Dynamic Heterogeneous Information Network Embedding With Meta-Path Based Proximity. IEEE Trans. Knowl. Data Eng. Xiao Wang, Yuanfu Lu, Chuan Shi, Ruijia Wang, Peng Cui, Shuai Mou
2022	A*	`conf`	Graph Neural Networks: Foundation, Frontiers and Applications. KDD Lingfei Wu, Peng Cui, Jian Pei, Liang Zhao, Xiaojie Guo
2022	J	`jnl`	Improving Accuracy and Diversity in Matching of Recommendation With Diversified Preference Network. IEEE Trans. Big Data Ruobing Xie, Qi Liu, Shukai Liu, Ziwei Zhang, Peng Cui, Bo Zhang, Leyu Lin
2022	J	`jnl`	Intention-Aware Sequential Recommendation With Structured Intent Transition. IEEE Trans. Knowl. Data Eng. Haoyang Li, Xin Wang, Ziwei Zhang, Jianxin Ma, Peng Cui, Wenwu Zhu
2022	A*	`conf`	Invariant Preference Learning for General Debiasing in Recommendation. KDD Zimu Wang, Yue He, Jiashuo Liu, Wenchao Zou, Philip S. Yu, Peng Cui
2022	A*	`conf`	Model Agnostic Sample Reweighting for Out-of-Distribution Learning. ICML Xiao Zhou, Yong Lin, Renjie Pi, Weizhong Zhang, Renzhe Xu, Peng Cui, Tong Zhang
2022	—	`conf`	NICO Challenge: Out-of-Distribution Generalization for Image Recognition Challenges. ECCV Workshops (6) Xingxuan Zhang, Yue He, Tan Wang, Jiaxin Qi, Han Yu, Zimu Wang, Jie Peng, Renzhe Xu, Zheyan Shen, Yulei Niu, Hanwang Zhang, Peng Cui
2022	J	`jnl`	NICO++: Towards Better Benchmarking for Domain Generalization. CoRR Xingxuan Zhang, Yue He, Renzhe Xu, Han Yu, Zheyan Shen, Peng Cui
2022	A*	`conf`	Product Ranking for Revenue Maximization with Multiple Purchases. NeurIPS Renzhe Xu, Xingxuan Zhang, Bo Li, Yafeng Zhang, Xiaolong Chen, Peng Cui
2022	J	`jnl`	Product Ranking for Revenue Maximization with Multiple Purchases. CoRR Renzhe Xu, Xingxuan Zhang, Bo Li, Yafeng Zhang, Xiaolong Chen, Peng Cui
2022	A*	`conf`	Regulatory Instruments for Fair Personalized Pricing. WWW Renzhe Xu, Xingxuan Zhang, Peng Cui, Bo Li, Zheyan Shen, Jiazheng Xu
2022	J	`jnl`	Regulatory Instruments for Fair Personalized Pricing. CoRR Renzhe Xu, Xingxuan Zhang, Peng Cui, Bo Li, Zheyan Shen, Jiazheng Xu
2022	J	`jnl`	Stable Learning via Sparse Variable Independence. CoRR Han Yu, Peng Cui, Yue He, Zheyan Shen, Yong Lin, Renzhe Xu, Xingxuan Zhang
2022	J	`jnl`	Stable learning establishes some common ground between causal inference and machine learning. Nat. Mach. Intell. Peng Cui, Susan Athey
2022	J	`jnl`	Towards Domain Generalization in Object Detection. CoRR Xingxuan Zhang, Zekai Xu, Renzhe Xu, Jiashuo Liu, Peng Cui, Weitao Wan, Chong Sun, Chen Li
2022	A*	`conf`	Towards Unsupervised Domain Generalization. CVPR Xingxuan Zhang, Linjun Zhou, Renzhe Xu, Peng Cui, Zheyan Shen, Haoxin Liu
2022	A*	`conf`	Uncovering the Heterogeneous Effects of Preference Diversity on User Activeness: A Dynamic Mixture Model. KDD Yunfei Lu, Peng Cui, Linyun Yu, Lei Li, Wenwu Zhu
2022	A*	`conf`	ZIN: When and How to Learn Invariance Without Environment Partition? NeurIPS Yong Lin, Shengyu Zhu, Lu Tan, Peng Cui
2022	J	`jnl`	ZIN: When and How to Learn Invariance by Environment Inference? CoRR Yong Lin, Shengyu Zhu, Peng Cui
2021	J	`jnl`	Adversarial Attack Framework on Graph Embedding Models with Limited Knowledge. CoRR Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Xin Wang, Wenwu Zhu, Junzhou Huang
2021	J	`jnl`	Collaborative Learning for Extremely Low Bit Asymmetric Hashing. IEEE Trans. Knowl. Data Eng. Yadan Luo, Zi Huang, Yang Li, Fumin Shen, Yang Yang, Peng Cui
2021	J	`jnl`	Conditional Attention Networks for Distilling Knowledge Graphs in Recommendation. CoRR Ke Tu, Peng Cui, Daixin Wang, Zhiqiang Zhang, Jun Zhou, Yuan Qi, Wenwu Zhu
2021	A	`conf`	Conditional Graph Attention Networks for Distilling and Refining Knowledge Graphs in Recommendation. CIKM Ke Tu, Peng Cui, Daixin Wang, Zhiqiang Zhang, Jun Zhou, Yuan Qi, Wenwu Zhu
2021	J	`jnl`	Context-Aware Attention-Based Data Augmentation for POI Recommendation. CoRR Yang Li, Yadan Luo, Zheng Zhang, Shazia Sadiq, Peng Cui
2021	J	`jnl`	Continuous treatment effect estimation via generative adversarial de-confounding. Data Min. Knowl. Discov. Kun Kuang, Yunzhe Li, Bo Li, Peng Cui, Hongxia Yang, Jianrong Tao, Fei Wu
2021	A*	`conf`	DARING: Differentiable Causal Discovery with Residual Independence. KDD Yue He, Peng Cui, Zheyan Shen, Renzhe Xu, Furui Liu, Yong Jiang
2021	J	`jnl`	Deep Stable Learning for Out-Of-Distribution Generalization. CoRR Xingxuan Zhang, Peng Cui, Renzhe Xu, Linjun Zhou, Yue He, Zheyan Shen
2021	A*	`conf`	Deep Stable Learning for Out-of-Distribution Generalization. CVPR Xingxuan Zhang, Peng Cui, Renzhe Xu, Linjun Zhou, Yue He, Zheyan Shen
2021	J	`jnl`	Distributionally Robust Learning with Stable Adversarial Training. CoRR Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li
2021	J	`jnl`	Domain-Irrelevant Representation Learning for Unsupervised Domain Generalization. CoRR Xingxuan Zhang, Linjun Zhou, Renzhe Xu, Peng Cui, Zheyan Shen, Haoxin Liu
2021	A*	`conf`	GQNAS: Graph Q Network for Neural Architecture Search. ICDM Yijian Qin, Xin Wang, Peng Cui, Wenwu Zhu
2021	J	`jnl`	Generalizing Graph Neural Networks on Out-Of-Distribution Graphs. CoRR Shaohua Fan, Xiao Wang, Chuan Shi, Peng Cui, Bai Wang
2021	A*	`conf`	Globally Optimized Matchmaking in Online Games. KDD Qilin Deng, Hao Li, Kai Wang, Zhipeng Hu, Runze Wu, Linxia Gong, Jianrong Tao, Changjie Fan, Peng Cui
2021	A*	`conf`	Heterogeneous Risk Minimization. ICML Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen
2021	J	`jnl`	Heterogeneous Risk Minimization. CoRR Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen
2021	J	`jnl`	Improving Accuracy and Diversity in Matching of Recommendation with Diversified Preference Network. CoRR Ruobing Xie, Qi Liu, Shukai Liu, Ziwei Zhang, Peng Cui, Bo Zhang, Leyu Lin
2021	A*	`conf`	Interpreting and Unifying Graph Neural Networks with An Optimization Framework. WWW Meiqi Zhu, Xiao Wang, Chuan Shi, Houye Ji, Peng Cui
2021	J	`jnl`	Interpreting and Unifying Graph Neural Networks with An Optimization Framework. CoRR Meiqi Zhu, Xiao Wang, Chuan Shi, Houye Ji, Peng Cui
2021	A*	`conf`	Kernelized Heterogeneous Risk Minimization. NeurIPS Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen
2021	J	`jnl`	Kernelized Heterogeneous Risk Minimization. CoRR Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen
2021	A*	`conf`	On the Equivalence of Decoupled Graph Convolution Network and Label Propagation. WWW Hande Dong, Jiawei Chen, Fuli Feng, Xiangnan He, Shuxian Bi, Zhaolin Ding, Peng Cui
2021	A*	`conf`	Out-of-distribution Generalization and Its Applications for Multimedia. ACM Multimedia Xin Wang, Peng Cui, Wenwu Zhu
2021	A*	`conf`	Purify and Generate: Learning Faithful Item-to-Item Graph from Noisy User-Item Interaction Behaviors. KDD Yue He, Yancheng Dong, Peng Cui, Yuhang Jiao, Xiaowei Wang, Ji Liu, Philip S. Yu
2021	A*	`conf`	Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation. AAAI Kai Wang, Zhene Zou, Qilin Deng, Jianrong Tao, Runze Wu, Changjie Fan, Liang Chen, Peng Cui
2021	J	`jnl`	Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation. CoRR Kai Wang, Zhene Zou, Qilin Deng, Runze Wu, Jianrong Tao, Changjie Fan, Liang Chen, Peng Cui
2021	J	`jnl`	Revisiting Transformation Invariant Geometric Deep Learning: Are Initial Representations All You Need? CoRR Ziwei Zhang, Xin Wang, Zeyang Zhang, Peng Cui, Wenwu Zhu
2021	A*	`conf`	Signed Graph Neural Network with Latent Groups. KDD Haoxin Liu, Ziwei Zhang, Peng Cui, Yafeng Zhang, Qiang Cui, Jiashuo Liu, Wenwu Zhu
2021	A*	`conf`	Stable Adversarial Learning under Distributional Shifts. AAAI Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li, Yishi Lin
2021	A	`conf`	Temporal-Aware Graph Neural Network for Credit Risk Prediction. SDM Daixin Wang, Zhiqiang Zhang, Jun Zhou, Peng Cui, Jingli Fang, Quanhui Jia, Yanming Fang, Yuan Qi
2021	J	`jnl`	Towards Non-I.I.D. image classification: A dataset and baselines. Pattern Recognit. Yue He, Zheyan Shen, Peng Cui
2021	J	`jnl`	Towards Out-Of-Distribution Generalization: A Survey. CoRR Zheyan Shen, Jiashuo Liu, Yue He, Xingxuan Zhang, Renzhe Xu, Han Yu, Peng Cui
2021	J	`jnl`	Why Stable Learning Works? A Theory of Covariate Shift Generalization. CoRR Renzhe Xu, Peng Cui, Zheyan Shen, Xingxuan Zhang, Tong Zhang
2020	A*	`conf`	A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models. AAAI Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Wenwu Zhu, Junzhou Huang
2020	J	`jnl`	A Semi-supervised Graph Attentive Network for Financial Fraud Detection. CoRR Daixin Wang, Jianbin Lin, Peng Cui, Quanhui Jia, Zhen Wang, Yanming Fang, Quan Yu, Jun Zhou, Shuang Yang, Yuan Qi
2020	J	`jnl`	A Simple and General Graph Neural Network with Stochastic Message Passing. CoRR Ziwei Zhang, Chenhao Niu, Peng Cui, Bo Zhang, Wei Cui, Wenwu Zhu
2020	A*	`conf`	AM-GCN: Adaptive Multi-channel Graph Convolutional Networks. KDD Xiao Wang, Meiqi Zhu, Deyu Bo, Peng Cui, Chuan Shi, Jian Pei
2020	J	`jnl`	AM-GCN: Adaptive Multi-channel Graph Convolutional Networks. CoRR Xiao Wang, Meiqi Zhu, Deyu Bo, Peng Cui, Chuan Shi, Jian Pei
2020	J	`jnl`	Adversarial Eigen Attack on Black-Box Models. CoRR Linjun Zhou, Peng Cui, Yinan Jiang, Shiqiang Yang
2020	A*	`conf`	Algorithmic Decision Making with Conditional Fairness. KDD Renzhe Xu, Peng Cui, Kun Kuang, Bo Li, Linjun Zhou, Zheyan Shen, Wei Cui
2020	J	`jnl`	Algorithmic Decision Making with Conditional Fairness. CoRR Renzhe Xu, Peng Cui, Kun Kuang, Bo Li, Linjun Zhou, Zheyan Shen, Wei Cui
2020	A*	`conf`	Causal Inference Meets Machine Learning. KDD Peng Cui, Zheyan Shen, Sheng Li, Liuyi Yao, Yaliang Li, Zhixuan Chu, Jing Gao
2020	—	`conf`	Continuous Treatment Effect Estimation via Generative Adversarial De-confounding. CD@KDD Yunzhe Li, Kun Kuang, Bo Li, Peng Cui, Jianrong Tao, Hongxia Yang, Fei Wu
2020	A*	`conf`	Counterfactual Prediction for Bundle Treatment. NeurIPS Hao Zou, Peng Cui, Bo Li, Zheyan Shen, Jianxin Ma, Hongxia Yang, Yue He
2020	J	`jnl`	Deep Learning for Learning Graph Representations. CoRR Wenwu Zhu, Xin Wang, Peng Cui
2020	A*	`conf`	Disentangled Self-Supervision in Sequential Recommenders. KDD Jianxin Ma, Chang Zhou, Hongxia Yang, Peng Cui, Xin Wang, Wenwu Zhu
2020	J	`jnl`	Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs. CoRR Ziwei Zhang, Peng Cui, Jian Pei, Xin Wang, Wenwu Zhu
2020	J	`jnl`	Exploring the collective human behavior in cascading systems: a comprehensive framework. Knowl. Inf. Syst. Yunfei Lu, Linyun Yu, Tianyang Zhang, Chengxi Zang, Peng Cui, Chaoming Song, Wenwu Zhu
2020	A	`conf`	Graph Neural Network for Tag Ranking in Tag-enhanced Video Recommendation. CIKM Qi Liu, Ruobing Xie, Lei Chen, Shukai Liu, Ke Tu, Peng Cui, Bo Zhang, Leyu Lin
2020	J	`jnl`	Invariant Adversarial Learning for Distributional Robustness. CoRR Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li, Yishi Lin
2020	A*	`conf`	Learning Stable Graphs from Multiple Environments with Selection Bias. KDD Yue He, Peng Cui, Jianxin Ma, Hao Zou, Xiaowei Wang, Hongxia Yang, Philip S. Yu
2020	A*	`conf`	Learning to Select Base Classes for Few-Shot Classification. CVPR Linjun Zhou, Peng Cui, Xu Jia, Shiqiang Yang, Qi Tian
2020	J	`jnl`	Learning to Select Base Classes for Few-shot Classification. CoRR Linjun Zhou, Peng Cui, Xu Jia, Shiqiang Yang, Qi Tian
2020	A	`conf`	Match Tracing: A Unified Framework for Real-time Win Prediction and Quantifiable Performance Evaluation. CIKM Kai Wang, Hao Li, Linxia Gong, Jianrong Tao, Runze Wu, Changjie Fan, Liang Chen, Peng Cui
2020	—	`ed.`	MultiMedia Modeling - 26th International Conference, MMM 2020, Daejeon, South Korea, January 5-8, 2020, Proceedings, Part I MMM (1) Yong Man Ro, Wen-Huang Cheng, Junmo Kim, Wei-Ta Chu, Peng Cui, Jung-Woo Choi, Min-Chun Hu, Wesley De Neve
2020	—	`ed.`	MultiMedia Modeling - 26th International Conference, MMM 2020, Daejeon, South Korea, January 5-8, 2020, Proceedings, Part II MMM (2) Yong Man Ro, Wen-Huang Cheng, Junmo Kim, Wei-Ta Chu, Peng Cui, Jung-Woo Choi, Min-Chun Hu, Wesley De Neve
2020	J	`jnl`	Network embedding in biomedical data science. Briefings Bioinform. Chang Su, Jie Tong, Yongjun Zhu, Peng Cui, Fei Wang
2020	J	`jnl`	On the Equivalence of Decoupled Graph Convolution Network and Label Propagation. CoRR Hande Dong, Jiawei Chen, Fuli Feng, Xiangnan He, Shuxian Bi, Zhaolin Ding, Peng Cui
2020	A*	`conf`	OptMatch: Optimized Matchmaking via Modeling the High-Order Interactions on the Arena. KDD Linxia Gong, Xiaochuan Feng, Dezhi Ye, Hao Li, Runze Wu, Jianrong Tao, Changjie Fan, Peng Cui
2020	—	`conf`	Preface: The 2020 ACM SIGKDD Workshop on Causal Discovery. CD@KDD Thuc Duy Le, Lin Liu, Kun Zhang, Emre Kiciman, Peng Cui, Aapo Hyvärinen
2020	—	`ed.`	Proceedings of the 2020 KDD Workshop on Causal Discovery (CD@KDD 2020), San Diego, CA, USA, 24 August 2020. CD@KDD Thuc Duy Le, Lin Liu, Kun Zhang, Emre Kiciman, Peng Cui, Aapo Hyvärinen
2020	A*	`conf`	Recent Advances on Graph Analytics and Its Applications in Healthcare. KDD Fei Wang, Peng Cui, Jian Pei, Yangqiu Song, Chengxi Zang
2020	A*	`conf`	Rule-Guided Compositional Representation Learning on Knowledge Graphs. AAAI Guanglin Niu, Yongfei Zhang, Bo Li, Peng Cui, Si Liu, Jingyang Li, Xiaowei Zhang
2020	A*	`conf`	Stable Learning via Differentiated Variable Decorrelation. KDD Zheyan Shen, Peng Cui, Jiashuo Liu, Tong Zhang, Bo Li, Zhitang Chen
2020	A*	`conf`	Stable Learning via Sample Reweighting. AAAI Zheyan Shen, Peng Cui, Tong Zhang, Kun Kuang
2020	J	`jnl`	Stable Prediction via Leveraging Seed Variable. CoRR Kun Kuang, Bo Li, Peng Cui, Yue Liu, Jianrong Tao, Yueting Zhuang, Fei Wu
2020	A*	`conf`	Stable Prediction with Model Misspecification and Agnostic Distribution Shift. AAAI Kun Kuang, Ruoxuan Xiong, Peng Cui, Susan Athey, Bo Li
2020	J	`jnl`	Stable Prediction with Model Misspecification and Agnostic Distribution Shift. CoRR Kun Kuang, Ruoxuan Xiong, Peng Cui, Susan Athey, Bo Li
2020	A*	`conf`	Structural Deep Clustering Network. WWW Deyu Bo, Xiao Wang, Chuan Shi, Meiqi Zhu, Emiao Lu, Peng Cui
2020	J	`jnl`	Structural Deep Clustering Network. CoRR Deyu Bo, Xiao Wang, Chuan Shi, Meiqi Zhu, Emiao Lu, Peng Cui
2020	J	`jnl`	Treatment Effect Estimation via Differentiated Confounder Balancing and Regression. ACM Trans. Knowl. Discov. Data Kun Kuang, Peng Cui, Bo Li, Meng Jiang, Yashen Wang, Fei Wu, Shiqiang Yang
2019	A*	`conf`	A Semi-Supervised Graph Attentive Network for Financial Fraud Detection. ICDM Daixin Wang, Yuan Qi, Jianbin Lin, Peng Cui, Quanhui Jia, Zhen Wang, Yanming Fang, Quan Yu, Jun Zhou, Shuang Yang
2019	J	`jnl`	A Survey on Network Embedding. IEEE Trans. Knowl. Data Eng. Peng Cui, Xiao Wang, Jian Pei, Wenwu Zhu
2019	A*	`conf`	AutoNE: Hyperparameter Optimization for Massive Network Embedding. KDD Ke Tu, Jianxin Ma, Peng Cui, Jian Pei, Wenwu Zhu
2019	—	`conf`	Causation-Driven Visualizations for Insurance Recommendation. ICME Workshops Zhixiu Liu, Chengxi Zang, Kun Kuang, Hao Zou, Hu Zheng, Peng Cui
2019	—	`conf`	Collaborative Generative Adversarial Network for Recommendation Systems. ICDE Workshops Yuzhen Tong, Yadan Luo, Zheng Zhang, Shazia Sadiq, Peng Cui
2019	—	`conf`	Context-Aware Attention-Based Data Augmentation for POI Recommendation. ICDE Workshops Yang Li, Yadan Luo, Zheng Zhang, Shazia Sadiq, Peng Cui
2019	A*	`conf`	Disentangled Graph Convolutional Networks. ICML Jianxin Ma, Peng Cui, Kun Kuang, Xin Wang, Wenwu Zhu
2019	A*	`conf`	Disparity-preserved Deep Cross-platform Association for Cross-platform Video Recommendation. IJCAI Shengze Yu, Xin Wang, Wenwu Zhu, Peng Cui, Jingdong Wang
2019	J	`jnl`	Disparity-preserved Deep Cross-platform Association for Cross-platform Video Recommendation. CoRR Shengze Yu, Xin Wang, Wenwu Zhu, Peng Cui, Jingdong Wang
2019	A*	`conf`	Dynamical Origins of Distribution Functions. KDD Chengxi Zang, Peng Cui, Wenwu Zhu, Fei Wang
2019	A*	`conf`	Fates of Microscopic Social Ecosystems: Keep Alive or Dead? KDD Haoyang Li, Peng Cui, Chengxi Zang, Tianyang Zhang, Wenwu Zhu, Yishi Lin
2019	A*	`conf`	Focused Context Balancing for Robust Offline Policy Evaluation. KDD Hao Zou, Kun Kuang, Boqi Chen, Peixuan Chen, Peng Cui
2019	A*	`conf`	Heterogeneous Graph Attention Network. WWW Xiao Wang, Houye Ji, Chuan Shi, Bai Wang, Yanfang Ye, Peng Cui, Philip S. Yu
2019	J	`jnl`	Heterogeneous Graph Attention Network. CoRR Xiao Wang, Houye Ji, Chuan Shi, Bai Wang, Peng Cui, Philip S. Yu, Yanfang Ye
2019	J	`jnl`	Introduction to the Special Section on Advances in Causal Discovery and Inference. ACM Trans. Intell. Syst. Technol. Jiuyong Li, Kun Zhang, Emre Kiciman, Peng Cui
2019	A*	`conf`	Learning Disentangled Representations for Recommendation. NeurIPS Jianxin Ma, Chang Zhou, Peng Cui, Hongxia Yang, Wenwu Zhu
2019	J	`jnl`	Learning Disentangled Representations for Recommendation. CoRR Jianxin Ma, Chang Zhou, Peng Cui, Hongxia Yang, Wenwu Zhu
2019	A*	`conf`	Learning From Networks: Algorithms, Theory, and Applications. KDD Xiao Huang, Peng Cui, Yuxiao Dong, Jundong Li, Huan Liu, Jian Pei, Le Song, Jie Tang, Fei Wang, Hongxia Yang, Wenwu Zhu
2019	A*	`conf`	Learning to Learn Image Classifiers With Visual Analogy. CVPR Linjun Zhou, Peng Cui, Shiqiang Yang, Wenwu Zhu, Qi Tian
2019	A*	`conf`	MVAN: Multi-view Attention Networks for Real Money Trading Detection in Online Games. KDD Jianrong Tao, Jianshi Lin, Shize Zhang, Sha Zhao, Runze Wu, Changjie Fan, Peng Cui
2019	J	`jnl`	NICO: A Dataset Towards Non-I.I.D. Image Classification. CoRR Yue He, Zheyan Shen, Peng Cui
2019	—	`conf`	Preface: The 2019 ACM SIGKDD Workshop on Causal Discovery. CD@KDD Thuc Duy Le, Jiuyong Li, Kun Zhang, Emre Kiciman, Peng Cui, Aapo Hyvärinen
2019	—	`ed.`	Proceedings of the 2019 ACM SIGKDD Workshop on Causal Discovery, CD@KDD 2019, Anchorage, Alaska, USA, August 5, 2019 CD@KDD Thuc Duy Le, Jiuyong Li, Kun Zhang, Emre Kiciman, Peng Cui, Aapo Hyvärinen
2019	A	`ed.`	Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019. CIKM Wenwu Zhu, Dacheng Tao, Xueqi Cheng, Peng Cui, Elke A. Rundensteiner, David Carmel, Qi He, Jeffrey Xu Yu
2019	A*	`conf`	Robust Graph Convolutional Networks Against Adversarial Attacks. KDD Dingyuan Zhu, Ziwei Zhang, Peng Cui, Wenwu Zhu
2019	J	`jnl`	Rule-Guided Compositional Representation Learning on Knowledge Graphs. CoRR Guanglin Niu, Yongfei Zhang, Bo Li, Peng Cui, Si Liu, Jingyang Li, Xiaowei Zhang
2019	J	`jnl`	Stable Learning via Sample Reweighting. CoRR Zheyan Shen, Peng Cui, Tong Zhang, Kun Kuang
2019	J	`jnl`	The General Black-box Attack Method for Graph Neural Networks. CoRR Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Wenwu Zhu, Junzhou Huang
2019	A*	`conf`	Uncovering Pattern Formation of Information Flow. KDD Chengxi Zang, Peng Cui, Chaoming Song, Wenwu Zhu, Fei Wang
2019	A*	`conf`	Uncovering the Co-driven Mechanism of Social and Content Links in User Churn Phenomena. KDD Yunfei Lu, Linyun Yu, Peng Cui, Chengxi Zang, Renzhe Xu, Yihao Liu, Lei Li, Wenwu Zhu
2019	J	`jnl`	Video Summarization by Learning Deep Side Semantic Embedding. IEEE Trans. Circuits Syst. Video Technol. Yitian Yuan, Tao Mei, Peng Cui, Wenwu Zhu
2018	A*	`conf`	Arbitrary-Order Proximity Preserved Network Embedding. KDD Ziwei Zhang, Peng Cui, Xiao Wang, Jian Pei, Xuanrong Yao, Wenwu Zhu
2018	A*	`conf`	Billion-Scale Network Embedding with Iterative Random Projection. ICDM Ziwei Zhang, Peng Cui, Haoyang Li, Xiao Wang, Wenwu Zhu
2018	J	`jnl`	Billion-scale Network Embedding with Iterative Random Projection. CoRR Ziwei Zhang, Peng Cui, Haoyang Li, Xiao Wang, Wenwu Zhu
2018	A*	`conf`	Causally Regularized Learning with Agnostic Data Selection Bias. ACM Multimedia Zheyan Shen, Peng Cui, Kun Kuang, Bo Li, Peixuan Chen
2018	J	`jnl`	Collaborative Learning for Extremely Low Bit Asymmetric Hashing. CoRR Yadan Luo, Yang Li, Fumin Shen, Yang Yang, Peng Cui, Zi Huang
2018	A*	`conf`	Collective Human Behavior in Cascading System: Discovery, Modeling and Applications. ICDM Yunfei Lu, Linyun Yu, Tianyang Zhang, Chengxi Zang, Peng Cui, Chaoming Song, Wenwu Zhu
2018	A*	`conf`	Deep Asymmetric Transfer Network for Unbalanced Domain Adaptation. AAAI Daixin Wang, Peng Cui, Wenwu Zhu
2018	A*	`conf`	Deep Learning for Multimedia: Science or Technology? ACM Multimedia Jitao Sang, Jun Yu, Ramesh C. Jain, Rainer Lienhart, Peng Cui, Jiashi Feng
2018	J	`jnl`	Deep Learning on Graphs: A Survey. CoRR Ziwei Zhang, Peng Cui, Wenwu Zhu
2018	A*	`conf`	Deep Recursive Network Embedding with Regular Equivalence. KDD Ke Tu, Peng Cui, Xiao Wang, Philip S. Yu, Wenwu Zhu
2018	A*	`conf`	Deep Variational Network Embedding in Wasserstein Space. KDD Dingyuan Zhu, Peng Cui, Daixin Wang, Wenwu Zhu
2018	A*	`conf`	DepthLGP: Learning Embeddings of Out-of-Sample Nodes in Dynamic Networks. AAAI Jianxin Ma, Peng Cui, Wenwu Zhu
2018	J	`jnl`	Effective Promotional Strategies Selection in Social Media: A Data-Driven Approach. IEEE Trans. Big Data Kun Kuang, Meng Jiang, Peng Cui, Hengliang Luo, Shiqiang Yang
2018	J	`jnl`	General Knowledge Embedded Image Representation Learning. IEEE Trans. Multim. Peng Cui, Shaowei Liu, Wenwu Zhu
2018	A*	`conf`	Hierarchical Taxonomy Aware Network Embedding. KDD Jianxin Ma, Peng Cui, Xiao Wang, Wenwu Zhu
2018	J	`jnl`	High-Order Proximity Preserved Embedding for Dynamic Networks. IEEE Trans. Knowl. Data Eng. Dingyuan Zhu, Peng Cui, Ziwei Zhang, Jian Pei, Wenwu Zhu
2018	A*	`conf`	Learning and Interpreting Complex Distributions in Empirical Data. KDD Chengxi Zang, Peng Cui, Wenwu Zhu
2018	J	`jnl`	On Power Law Growth of Social Networks. IEEE Trans. Knowl. Data Eng. Chengxi Zang, Peng Cui, Christos Faloutsos, Wenwu Zhu
2018	A*	`conf`	Power-law Distribution Aware Trust Prediction. IJCAI Xiao Wang, Ziwei Zhang, Jing Wang, Peng Cui, Shiqiang Yang
2018	A*	`conf`	Scalable Optimization for Embedding Highly-Dynamic and Recency-Sensitive Data. KDD Xumin Chen, Peng Cui, Lingling Yi, Shiqiang Yang
2018	A*	`conf`	Session details: FF-2. ACM Multimedia Peng Cui
2018	—	`ch.`	Social-sensed multimedia computing. Frontiers of Multimedia Research Peng Cui
2018	A*	`conf`	Stable Prediction across Unknown Environments. KDD Kun Kuang, Peng Cui, Susan Athey, Ruoxuan Xiong, Bo Li
2018	J	`jnl`	Stable Prediction across Unknown Environments. CoRR Kun Kuang, Ruoxuan Xiong, Peng Cui, Susan Athey, Bo Li
2018	A*	`conf`	Structural Deep Embedding for Hyper-Networks. AAAI Ke Tu, Peng Cui, Xiao Wang, Fei Wang, Wenwu Zhu
2018	A*	`conf`	TIMERS: Error-Bounded SVD Restart on Dynamic Networks. AAAI Ziwei Zhang, Peng Cui, Jian Pei, Xiao Wang, Wenwu Zhu
2017	J	`jnl`	A Survey on Network Embedding. CoRR Peng Cui, Xiao Wang, Jian Pei, Wenwu Zhu
2017	A*	`conf`	A Temporally Heterogeneous Survival Framework with Application to Social Behavior Dynamics. KDD Linyun Yu, Peng Cui, Chaoming Song, Tianyang Zhang, Shiqiang Yang
2017	A*	`conf`	Community Preserving Network Embedding. AAAI Xiao Wang, Peng Cui, Jing Wang, Jian Pei, Wenwu Zhu, Shiqiang Yang
2017	A*	`conf`	Estimating Treatment Effect in the Wild via Differentiated Confounder Balancing. KDD Kun Kuang, Peng Cui, Bo Li, Meng Jiang, Shiqiang Yang
2017	A*	`conf`	Human-like Visual Learning and Reasoning. ACM Multimedia Peng Cui, Wenwu Zhu
2017	J	`jnl`	Joint user-interest and social-influence emotion prediction for individuals. Neurocomputing Ting Rui, Peng Cui, Wenwu Zhu
2017	J	`jnl`	Learning to Learn Image Classifiers with Informative Visual Analogy. CoRR Linjun Zhou, Peng Cui, Shiqiang Yang, Wenwu Zhu, Qi Tian
2017	A*	`conf`	Long Short Memory Process: Modeling Growth Dynamics of Microscopic Social Connectivity. KDD Chengxi Zang, Peng Cui, Christos Faloutsos, Wenwu Zhu
2017	J	`jnl`	On Image Classification: Correlation v.s. Causality. CoRR Zheyan Shen, Peng Cui, Kun Kuang, Bo Li
2017	—	`conf`	Quantifying Structural Patterns of Information Cascades. WWW (Companion Volume) Chengxi Zang, Peng Cui, Chaoming Song, Christos Faloutsos, Wenwu Zhu
2017	J	`jnl`	Special issue on intelligent urban computing with big data. Mach. Vis. Appl. Wu Liu, Peng Cui, Jukka K. Nurminen, Jingdong Wang
2017	J	`jnl`	Structural Deep Embedding for Hyper-Networks. CoRR Ke Tu, Peng Cui, Xiao Wang, Fei Wang, Wenwu Zhu
2017	J	`jnl`	Structural patterns of information cascades and their implications for dynamics and semantics. CoRR Chengxi Zang, Peng Cui, Chaoming Song, Christos Faloutsos, Wenwu Zhu
2017	J	`jnl`	TIMERS: Error-Bounded SVD Restart on Dynamic Networks. CoRR Ziwei Zhang, Peng Cui, Jian Pei, Xiao Wang, Wenwu Zhu
2017	A*	`conf`	Treatment Effect Estimation with Data-Driven Variable Decomposition. AAAI Kun Kuang, Peng Cui, Bo Li, Meng Jiang, Shiqiang Yang, Fei Wang
2017	J	`jnl`	Uncovering and predicting the dynamic process of information cascades with survival model. Knowl. Inf. Syst. Linyun Yu, Peng Cui, Fei Wang, Chaoming Song, Shiqiang Yang
2017	J	`jnl`	comeNgo: A Dynamic Model for Social Group Evolution. ACM Trans. Knowl. Discov. Data Tianyang Zhang, Peng Cui, Christos Faloutsos, Yunfei Lu, Hao Ye, Wenwu Zhu, Shiqiang Yang
2016	A*	`conf`	Asymmetric Transitivity Preserving Graph Embedding. KDD Mingdong Ou, Peng Cui, Jian Pei, Ziwei Zhang, Wenwu Zhu
2016	A*	`conf`	Beyond Sigmoids: The NetTide Model for Social Network Growth, and Its Applications. KDD Chengxi Zang, Peng Cui, Christos Faloutsos
2016	J	`jnl`	Catching Synchronized Behaviors in Large Networks: A Graph Mining Approach. ACM Trans. Knowl. Discov. Data Meng Jiang, Peng Cui, Alex Beutel, Christos Faloutsos, Shiqiang Yang
2016	A*	`conf`	Come-and-Go Patterns of Group Evolution: A Dynamic Model. KDD Tianyang Zhang, Peng Cui, Christos Faloutsos, Yunfei Lu, Hao Ye, Wenwu Zhu, Shiqiang Yang
2016	J	`jnl`	Inferring lockstep behavior from connectivity pattern in large graphs. Knowl. Inf. Syst. Meng Jiang, Peng Cui, Alex Beutel, Christos Faloutsos, Shiqiang Yang
2016	A*	`conf`	Little Is Much: Bridging Cross-Platform Behaviors through Overlapped Crowds. AAAI Meng Jiang, Peng Cui, Nicholas Jing Yuan, Xing Xie, Shiqiang Yang
2016	J	`jnl`	Online Behavioral Analysis and Modeling [Guest Editorial]. IEEE Intell. Syst. Peng Cui, Huan Liu, Charu C. Aggarwal, Fei Wang
2016	—	`conf`	Social Media Profiler: Inferring Your Social Media Personality from Visual Attributes in Portrait. PCM (2) Jie Nie, Lei Huang, Peng Cui, Zhen Li, Yan Yan, Zhiqiang Wei, Wenwu Zhu
2016	J	`jnl`	Social-Sensed Multimedia Computing. IEEE Multim. Peng Cui, Wenwu Zhu, Tat-Seng Chua, Ramesh C. Jain
2016	J	`jnl`	Spotting Suspicious Behaviors in Multimodal Data: A General Metric and Algorithms. IEEE Trans. Knowl. Data Eng. Meng Jiang, Alex Beutel, Peng Cui, Bryan Hooi, Shiqiang Yang, Christos Faloutsos
2016	A*	`conf`	Steering Social Media Promotions with Effective Strategies. ICDM Kun Kuang, Meng Jiang, Peng Cui, Shiqiang Yang
2016	A*	`conf`	Structural Deep Network Embedding. KDD Daixin Wang, Peng Cui, Wenwu Zhu
2016	J	`jnl`	Suspicious Behavior Detection: Current Trends and Future Directions. IEEE Intell. Syst. Meng Jiang, Peng Cui, Christos Faloutsos
2016	J	`jnl`	Uncovering and Predicting Human Behaviors. IEEE Intell. Syst. Peng Cui, Huan Liu, Charu C. Aggarwal, Fei Wang
2015	A*	`conf`	A General Suspiciousness Metric for Dense Blocks in Multimodal Data. ICDM Meng Jiang, Alex Beutel, Peng Cui, Bryan Hooi, Shiqiang Yang, Christos Faloutsos
2015	A*	`conf`	Deep Multimodal Hashing with Orthogonal Regularization. IJCAI Daixin Wang, Peng Cui, Mingdong Ou, Wenwu Zhu
2015	A*	`conf`	From Micro to Macro: Uncovering and Predicting Information Cascading Process with Behavioral Dynamics. ICDM Linyun Yu, Peng Cui, Fei Wang, Chaoming Song, Shiqiang Yang
2015	J	`jnl`	From Micro to Macro: Uncovering and Predicting Information Cascading Process with Behavioral Dynamics. CoRR Linyun Yu, Peng Cui, Fei Wang, Chaoming Song, Shiqiang Yang
2015	—	`conf`	Head detection based on convolutional neural network with multi-stage weighted feature. ChinaSIP Ting Rui, Jianchao Fei, Peng Cui, You Zhou, Husheng Fang
2015	J	`jnl`	Learning Compact Hash Codes for Multimodal Representations Using Orthogonal Deep Structure. IEEE Trans. Multim. Daixin Wang, Peng Cui, Mingdong Ou, Wenwu Zhu
2015	A*	`conf`	Learning Socially Embedded Visual Representation from Scratch. ACM Multimedia Shaowei Liu, Peng Cui, Wenwu Zhu, Shiqiang Yang
2015	J	`jnl`	Multimedia Big Data Computing. IEEE Multim. Wenwu Zhu, Peng Cui, Zhi Wang, Gang Hua
2015	A*	`conf`	Non-transitive Hashing with Latent Similarity Components. KDD Mingdong Ou, Peng Cui, Fei Wang, Jun Wang, Wenwu Zhu
2015	A*	`conf`	Perceiving Group Themes from Collective Social and Behavioral Information. AAAI Peng Cui, Tianyang Zhang, Fei Wang, Peng He
2015	A*	`conf`	Probabilistic Attributed Hashing. AAAI Mingdong Ou, Peng Cui, Jun Wang, Fei Wang, Wenwu Zhu
2015	J	`jnl`	Social Recommendation with Cross-Domain Transferable Knowledge. IEEE Trans. Knowl. Data Eng. Meng Jiang, Peng Cui, Xumin Chen, Fei Wang, Wenwu Zhu, Shiqiang Yang
2014	A	`conf`	1st workshop on diffusion networks and cascade analytics. WSDM Peng Cui, Fei Wang, Hanghang Tong, Manuel Gomez-Rodriguez
2014	J	`jnl`	A data-driven study of image feature extraction and fusion. Inf. Sci. Zhiyu Wang, Peng Cui, Fangtao Li, Edward Y. Chang, Shiqiang Yang
2014	J	`jnl`	Bilateral Correspondence Model for Words-and-Pictures Association in Multimedia-Rich Microblogs. ACM Trans. Multim. Comput. Commun. Appl. Zhiyu Wang, Peng Cui, Lexing Xie, Wenwu Zhu, Yong Rui, Shiqiang Yang
2014	A*	`conf`	CatchSync: catching synchronized behavior in large directed graphs. KDD Meng Jiang, Peng Cui, Alex Beutel, Christos Faloutsos, Shiqiang Yang
2014	—	`conf`	Detecting suspicious following behavior in multimillion-node social networks. WWW (Companion Volume) Meng Jiang, Peng Cui, Alex Beutel, Christos Faloutsos, Shiqiang Yang
2014	C	`conf`	Discovering Urban Spatio-temporal Structure from Time-Evolving Traffic Networks. APWeb Jingyuan Wang, Fei Gao, Peng Cui, Chao Li, Zhang Xiong
2014	B	`conf`	Emotionally Representative Image Discovery for Social Events. ICMR Yun Yang, Peng Cui, Wenwu Zhu, H. Vicky Zhao, Yuanyuan Shi, Shiqiang Yang
2014	A*	`conf`	FEMA: flexible evolutionary multi-faceted analysis for dynamic behavioral pattern discovery. KDD Meng Jiang, Peng Cui, Fei Wang, Xinran Xu, Wenwu Zhu, Shiqiang Yang
2014	A	`conf`	Find you from your friends: Graph-based residence location prediction for users in social media. ICME Dan Xu, Peng Cui, Wenwu Zhu, Shiqiang Yang
2014	J	`jnl`	Graph-Based Residence Location Inference for Social Media Users. IEEE Multim. Dan Xu, Peng Cui, Wenwu Zhu, Shiqiang Yang
2014	A*	`conf`	How Your Portrait Impresses People?: Inferring Personality Impressions from Portrait Contents. ACM Multimedia Jie Nie, Peng Cui, Yan Yan, Lei Huang, Zhen Li, Zhiqiang Wei
2014	J	`jnl`	Hyperspectral Image Classification Through Bilayer Graph-Based Learning. IEEE Trans. Image Process. Yue Gao, Rongrong Ji, Peng Cui, Qionghai Dai, Gang Hua
2014	—	`conf`	Inferring Strange Behavior from Connectivity Pattern in Social Networks. PAKDD (1) Meng Jiang, Peng Cui, Alex Beutel, Christos Faloutsos, Shiqiang Yang
2014	J	`jnl`	Scalable Recommendation with Social Contextual Information. IEEE Trans. Knowl. Data Eng. Meng Jiang, Peng Cui, Fei Wang, Wenwu Zhu, Shiqiang Yang
2014	A*	`conf`	Social Embedding Image Distance Learning. ACM Multimedia Shaowei Liu, Peng Cui, Wenwu Zhu, Shiqiang Yang, Qi Tian
2014	A*	`conf`	Social multimedia computing. ACM Multimedia Peng Cui, Lexing Xie, Jitao Sang, Changsheng Xu
2014	J	`jnl`	Social-Sensed Image Search. ACM Trans. Inf. Syst. Peng Cui, Shaowei Liu, Wenwu Zhu, Huan-Bo Luan, Tat-Seng Chua, Shi-Qiang Yang
2014	J	`jnl`	Social-oriented visual image search. Comput. Vis. Image Underst. Shaowei Liu, Peng Cui, Huan-Bo Luan, Wenwu Zhu, Shiqiang Yang, Qi Tian
2014	A*	`conf`	What Videos Are Similar with You?: Learning a Common Attributed Representation for Video Recommendation. ACM Multimedia Peng Cui, Zhiyu Wang, Zhou Su
2013	A*	`conf`	Cascading outbreak prediction in networks: a data-driven approach. KDD Peng Cui, Shifei Jin, Linyun Yu, Fei Wang, Wenwu Zhu, Shiqiang Yang
2013	A*	`conf`	Comparing apples to oranges: a scalable solution with heterogeneous hashing. KDD Mingdong Ou, Peng Cui, Fei Wang, Jun Wang, Wenwu Zhu, Shiqiang Yang
2013	—	`conf`	EventLens: An Automatic Magazine Generating System for Social Media. HCI (13) Hao Chen, Han Tang, Zhiyu Wang, Peng Cui, Yingquing Xu, Shiqiang Yang
2013	A*	`conf`	Multimedia recommendation: technology and techniques. SIGIR Jialie Shen, Meng Wang, Shuicheng Yan, Peng Cui
2013	J	`jnl`	Propagation-based social-aware multimedia content distribution. ACM Trans. Multim. Comput. Commun. Appl. Zhi Wang, Wenwu Zhu, Xiangwen Chen, Lifeng Sun, Jiangchuan Liu, Minghua Chen, Peng Cui, Shiqiang Yang
2013	—	`ch.`	Social Media Recommendation. Social Media Retrieval Zhi Wang, Wenwu Zhu, Peng Cui, Lifeng Sun, Shiqiang Yang
2013	—	`conf`	Social Visual Image Ranking for Web Image Search. MMM (1) Shaowei Liu, Peng Cui, Huan-Bo Luan, Wenwu Zhu, Shiqiang Yang, Qi Tian
2013	A*	`conf`	Understanding and classifying image tweets. ACM Multimedia Tao Chen, Dongyuan Lu, Min-Yen Kan, Peng Cui
2013	A*	`conf`	User interest and social influence based emotion prediction for individuals. ACM Multimedia Yun Yang, Peng Cui, Wenwu Zhu, Shiqiang Yang
2012	J	`jnl`	A Matrix-Based Approach to Unsupervised Human Action Categorization. IEEE Trans. Multim. Peng Cui, Fei Wang, Lifeng Sun, Jianwei Zhang, Shi-Qiang Yang
2012	J	`jnl`	Analyzing Image Deblurring Through Three Paradigms. IEEE Trans. Image Process. Chao Wang, Lifeng Sun, Peng Cui, Jianwei Zhang, Shiqiang Yang
2012	A*	`conf`	Analyzing social media via event facets. ACM Multimedia Zhiyu Wang, Peng Cui, Lexing Xie, Hao Chen, Wenwu Zhu, Shiqiang Yang
2012	J	`jnl`	Guest editorial: Special issue on information retrieval for social media. Inf. Retr. Fei Wang, Peng Cui, Gordon Sun, Tat-Seng Chua, Shiqiang Yang
2012	A*	`conf`	Multimedia recommendation. ACM Multimedia Jialie Shen, Meng Wang, Shuicheng Yan, Peng Cui
2012	A	`conf`	Social contextual recommendation. CIKM Meng Jiang, Peng Cui, Rui Liu, Qiang Yang, Fei Wang, Wenwu Zhu, Shiqiang Yang
2012	A	`conf`	Social recommendation across multiple relational domains. CIKM Meng Jiang, Peng Cui, Fei Wang, Qiang Yang, Wenwu Zhu, Shiqiang Yang
2011	A*	`conf`	ACM international workshop on social and behavioral networked media access (SBNMA'11). ACM Multimedia Naeem Ramzan, Fei Wang, Charalampos Z. Patrikakis, Peng Cui, Nikolaos D. Doulamis, Shiqiang Yang, Gordon Sun
2011	J	`jnl`	Hierarchical visual event pattern mining and its applications. Data Min. Knowl. Discov. Peng Cui, Zhi-Qiang Liu, Lifeng Sun, Shi-Qiang Yang
2011	A*	`conf`	Item-Level Social Influence Prediction with Probabilistic Hybrid Factor Matrix Factorization. AAAI Peng Cui, Fei Wang, Shiqiang Yang, Lifeng Sun
2011	—	`conf`	The Visualization of Mass Information in Social Network with a Holistic View. EVA Xin Li, Xia Zhang, Peng Cui, Zhiyong Fu, Shiqiang Yang, Baoguo Cui
2011	A*	`conf`	Who should share what?: item-level social influence prediction for users and posts ranking. SIGIR Peng Cui, Fei Wang, Shaowei Liu, Mingdong Ou, Shiqiang Yang, Lifeng Sun
2010	B	`conf`	HFAG: Hierarchical Frame Affinity Group for video retrieval on very large video dataset. ICIP Yin-Jun Miao, Chao Wang, Peng Cui, Lifeng Sun, Pin Tao, Shiqiang Yang
2009	C	`conf`	A Cascade SVM Approach for Head-shoulder Detection using Histograms of Oriented Gradients. ISCAS Xi-Feng Ding, Hui Xu, Peng Cui, Lifeng Sun, Shiqiang Yang
2009	J	`jnl`	Adaptive mixture observation models for multiple object tracking. Sci. China Ser. F Inf. Sci. Peng Cui, Lifeng Sun, Shiqiang Yang
2009	J	`jnl`	Contextual Mixture Tracking. IEEE Trans. Multim. Peng Cui, Lifeng Sun, Fei Wang, Shiqiang Yang
2008	A*	`conf`	A Joint Matrix Factorization Approach to Unsupervised Action Categorization. ICDM Peng Cui, Fei Wang, Lifeng Sun, Shi-Qiang Yang
2008	—	`conf`	Analysis of Human Actions for Video Indexing. PCM Zhuoyuan Chen, Peng Cui, Lifeng Sun, Shiqiang Yang
2007	A	`conf`	A Novel Event-Oriented Segment-of-Interest Discovery Method for Surveillance Video. ICME Peng Cui, Lifeng Sun, Zhi Wang, Shi-Qiang Yang
2007	A*	`conf`	A Sequential Monte Carlo Approach to Anomaly Detection in Tracking Visual Events. CVPR Peng Cui, Lifeng Sun, Zhi-Qiang Liu, Shiqiang Yang