A Sequential Monte Carlo Approach to Anomaly Detection in Tracking Visual Events. - Peng Cui 001; Lifeng Sun; Zhi-Qiang Liu; Shiqiang Yang (CVPR, 2007)

A Novel Event-Oriented Segment-of-Interest Discovery Method for Surveillance Video. - Peng Cui 001; Lifeng Sun; Zhi Wang 001; Shi-Qiang Yang (ICME, 2007)

A Joint Matrix Factorization Approach to Unsupervised Action Categorization. - Peng Cui 001; Fei Wang 001; Lifeng Sun; Shi-Qiang Yang (ICDM, 2008)

Analysis of Human Actions for Video Indexing. - Zhuoyuan Chen; Peng Cui 001; Lifeng Sun; Shiqiang Yang (PCM, 2008)

A Cascade SVM Approach for Head-shoulder Detection using Histograms of Oriented Gradients. - Xi-Feng Ding; Hui Xu; Peng Cui 001; Lifeng Sun; Shiqiang Yang (ISCAS, 2009)

Adaptive mixture observation models for multiple object tracking. - Peng Cui 001; Lifeng Sun; Shiqiang Yang (Sci. China Ser. F Inf. Sci., 2009)

Contextual Mixture Tracking. - Peng Cui 001; Lifeng Sun; Fei Wang 001; Shiqiang Yang (IEEE Trans. Multim., 2009)

HFAG: Hierarchical Frame Affinity Group for video retrieval on very large video dataset. - Yin-Jun Miao; Chao Wang 063; Peng Cui 001; Lifeng Sun; Pin Tao; Shiqiang Yang (ICIP, 2010)

Item-Level Social Influence Prediction with Probabilistic Hybrid Factor Matrix Factorization. - Peng Cui 001; Fei Wang 001; Shiqiang Yang; Lifeng Sun (AAAI, 2011)

The Visualization of Mass Information in Social Network with a Holistic View. - Xin Li; Xia Zhang; Peng Cui 001; Zhiyong Fu; Shiqiang Yang; Baoguo Cui (EVA, 2011)

ACM international workshop on social and behavioral networked media access (SBNMA'11). - Naeem Ramzan; Fei Wang 001; Charalampos Z. Patrikakis; Peng Cui 001; Nikolaos D. Doulamis; Shiqiang Yang; Gordon Sun (ACM Multimedia, 2011)

Who should share what?: item-level social influence prediction for users and posts ranking. - Peng Cui 001; Fei Wang 001; Shaowei Liu; Mingdong Ou; Shiqiang Yang; Lifeng Sun (SIGIR, 2011)

Hierarchical visual event pattern mining and its applications. - Peng Cui 001; Zhi-Qiang Liu; Lifeng Sun; Shi-Qiang Yang (Data Min. Knowl. Discov., 2011)

Social contextual recommendation. - Meng Jiang 001; Peng Cui 001; Rui Liu 014; Qiang Yang 001; Fei Wang 001; Wenwu Zhu 001; Shiqiang Yang (CIKM, 2012)

Social recommendation across multiple relational domains. - Meng Jiang 001; Peng Cui 001; Fei Wang 001; Qiang Yang 001; Wenwu Zhu 001; Shiqiang Yang (CIKM, 2012)

Multimedia recommendation. - Jialie Shen 001; Meng Wang 001; Shuicheng Yan; Peng Cui 001 (ACM Multimedia, 2012)

Analyzing social media via event facets. - Zhiyu Wang; Peng Cui 001; Lexing Xie; Hao Chen; Wenwu Zhu 001; Shiqiang Yang (ACM Multimedia, 2012)

Guest editorial: Special issue on information retrieval for social media. - Fei Wang 001; Peng Cui 001; Gordon Sun; Tat-Seng Chua; Shiqiang Yang (Inf. Retr., 2012)

Analyzing Image Deblurring Through Three Paradigms. - Chao Wang 063; Lifeng Sun; Peng Cui 001; Jianwei Zhang 001; Shiqiang Yang (IEEE Trans. Image Process., 2012)

A Matrix-Based Approach to Unsupervised Human Action Categorization. - Peng Cui 001; Fei Wang 001; Lifeng Sun; Jianwei Zhang 001; Shi-Qiang Yang (IEEE Trans. Multim., 2012)

EventLens: An Automatic Magazine Generating System for Social Media. - Hao Chen; Han Tang; Zhiyu Wang; Peng Cui 001; Yingquing Xu; Shiqiang Yang (HCI (13), 2013)

Cascading outbreak prediction in networks: a data-driven approach. - Peng Cui 001; Shifei Jin; Linyun Yu; Fei Wang 001; Wenwu Zhu 001; Shiqiang Yang (KDD, 2013)

Comparing apples to oranges: a scalable solution with heterogeneous hashing. - Mingdong Ou; Peng Cui 001; Fei Wang 001; Jun Wang 006; Wenwu Zhu 001; Shiqiang Yang (KDD, 2013)

Understanding and classifying image tweets. - Tao Chen 008; Dongyuan Lu; Min-Yen Kan; Peng Cui 001 (ACM Multimedia, 2013)

User interest and social influence based emotion prediction for individuals. - Yun Yang; Peng Cui 001; Wenwu Zhu 001; Shiqiang Yang (ACM Multimedia, 2013)

Social Visual Image Ranking for Web Image Search. - Shaowei Liu; Peng Cui 001; Huan-Bo Luan; Wenwu Zhu 001; Shiqiang Yang; Qi Tian 001 (MMM (1), 2013)

Multimedia recommendation: technology and techniques. - Jialie Shen 001; Meng Wang 001; Shuicheng Yan; Peng Cui 001 (SIGIR, 2013)

Propagation-based social-aware multimedia content distribution. - Zhi Wang 001; Wenwu Zhu 001; Xiangwen Chen; Lifeng Sun; Jiangchuan Liu; Minghua Chen 001; Peng Cui 001; Shiqiang Yang (ACM Trans. Multim. Comput. Commun. Appl., 2013)

Social Media Recommendation. - Zhi Wang 001; Wenwu Zhu 001; Peng Cui 001; Lifeng Sun; Shiqiang Yang (Social Media Retrieval, 2013)

Discovering Urban Spatio-temporal Structure from Time-Evolving Traffic Networks. - Jingyuan Wang 001; Fei Gao; Peng Cui 001; Chao Li 001; Zhang Xiong 001 (APWeb, 2014)

Find you from your friends: Graph-based residence location prediction for users in social media. - Dan Xu; Peng Cui 001; Wenwu Zhu 001; Shiqiang Yang (ICME, 2014)

CatchSync: catching synchronized behavior in large directed graphs. - Meng Jiang 001; Peng Cui 001; Alex Beutel; Christos Faloutsos; Shiqiang Yang (KDD, 2014)

FEMA: flexible evolutionary multi-faceted analysis for dynamic behavioral pattern discovery. - Meng Jiang 001; Peng Cui 001; Fei Wang 001; Xinran Xu; Wenwu Zhu 001; Shiqiang Yang (KDD, 2014)

Emotionally Representative Image Discovery for Social Events. - Yun Yang; Peng Cui 001; Wenwu Zhu 001; H. Vicky Zhao; Yuanyuan Shi; Shiqiang Yang (ICMR, 2014)

What Videos Are Similar with You?: Learning a Common Attributed Representation for Video Recommendation. - Peng Cui 001; Zhiyu Wang; Zhou Su (ACM Multimedia, 2014)

Social multimedia computing. - Peng Cui 001; Lexing Xie; Jitao Sang; Changsheng Xu (ACM Multimedia, 2014)

Social Embedding Image Distance Learning. - Shaowei Liu; Peng Cui 001; Wenwu Zhu 001; Shiqiang Yang; Qi Tian 001 (ACM Multimedia, 2014)

How Your Portrait Impresses People?: Inferring Personality Impressions from Portrait Contents. - Jie Nie; Peng Cui 001; Yan Yan 003; Lei Huang 010; Zhen Li 024; Zhiqiang Wei 002 (ACM Multimedia, 2014)

Inferring Strange Behavior from Connectivity Pattern in Social Networks. - Meng Jiang 001; Peng Cui 001; Alex Beutel; Christos Faloutsos; Shiqiang Yang (PAKDD (1), 2014)

1st workshop on diffusion networks and cascade analytics. - Peng Cui 001; Fei Wang 001; Hanghang Tong; Manuel Gomez-Rodriguez (WSDM, 2014)

Detecting suspicious following behavior in multimillion-node social networks. - Meng Jiang 001; Peng Cui 001; Alex Beutel; Christos Faloutsos; Shiqiang Yang (WWW (Companion Volume), 2014)

Social-oriented visual image search. - Shaowei Liu; Peng Cui 001; Huan-Bo Luan; Wenwu Zhu 001; Shiqiang Yang; Qi Tian 001 (Comput. Vis. Image Underst., 2014)

Graph-Based Residence Location Inference for Social Media Users. - Dan Xu; Peng Cui 001; Wenwu Zhu 001; Shiqiang Yang (IEEE Multim., 2014)

A data-driven study of image feature extraction and fusion. - Zhiyu Wang; Peng Cui 001; Fangtao Li; Edward Y. Chang; Shiqiang Yang (Inf. Sci., 2014)

Hyperspectral Image Classification Through Bilayer Graph-Based Learning. - Yue Gao 002; Rongrong Ji; Peng Cui 001; Qionghai Dai; Gang Hua 001 (IEEE Trans. Image Process., 2014)

Scalable Recommendation with Social Contextual Information. - Meng Jiang 001; Peng Cui 001; Fei Wang 001; Wenwu Zhu 001; Shiqiang Yang (IEEE Trans. Knowl. Data Eng., 2014)

Social-Sensed Image Search. - Peng Cui 001; Shaowei Liu; Wenwu Zhu 001; Huan-Bo Luan; Tat-Seng Chua; Shi-Qiang Yang (ACM Trans. Inf. Syst., 2014)

Bilateral Correspondence Model for Words-and-Pictures Association in Multimedia-Rich Microblogs. - Zhiyu Wang; Peng Cui 001; Lexing Xie; Wenwu Zhu 001; Yong Rui; Shiqiang Yang (ACM Trans. Multim. Comput. Commun. Appl., 2014)

Perceiving Group Themes from Collective Social and Behavioral Information. - Peng Cui 001; Tianyang Zhang 001; Fei Wang 001; Peng He (AAAI, 2015)

Probabilistic Attributed Hashing. - Mingdong Ou; Peng Cui 001; Jun Wang 006; Fei Wang 001; Wenwu Zhu 001 (AAAI, 2015)

Head detection based on convolutional neural network with multi-stage weighted feature. - Ting Rui; Jianchao Fei; Peng Cui 001; You Zhou 002; Husheng Fang (ChinaSIP, 2015)

A General Suspiciousness Metric for Dense Blocks in Multimodal Data. - Meng Jiang 001; Alex Beutel; Peng Cui 001; Bryan Hooi; Shiqiang Yang; Christos Faloutsos (ICDM, 2015)

From Micro to Macro: Uncovering and Predicting Information Cascading Process with Behavioral Dynamics. - Linyun Yu; Peng Cui 001; Fei Wang 001; Chaoming Song; Shiqiang Yang (ICDM, 2015)

Deep Multimodal Hashing with Orthogonal Regularization. - Daixin Wang; Peng Cui 001; Mingdong Ou; Wenwu Zhu 001 (IJCAI, 2015)

Non-transitive Hashing with Latent Similarity Components. - Mingdong Ou; Peng Cui 001; Fei Wang 001; Jun Wang 006; Wenwu Zhu 001 (KDD, 2015)

Learning Socially Embedded Visual Representation from Scratch. - Shaowei Liu; Peng Cui 001; Wenwu Zhu 001; Shiqiang Yang (ACM Multimedia, 2015)

Multimedia Big Data Computing. - Wenwu Zhu 001; Peng Cui 001; Zhi Wang 001; Gang Hua 001 (IEEE Multim., 2015)

Social Recommendation with Cross-Domain Transferable Knowledge. - Meng Jiang 001; Peng Cui 001; Xumin Chen; Fei Wang 001; Wenwu Zhu 001; Shiqiang Yang (IEEE Trans. Knowl. Data Eng., 2015)

Learning Compact Hash Codes for Multimodal Representations Using Orthogonal Deep Structure. - Daixin Wang; Peng Cui 001; Mingdong Ou; Wenwu Zhu 001 (IEEE Trans. Multim., 2015)

Little Is Much: Bridging Cross-Platform Behaviors through Overlapped Crowds. - Meng Jiang 001; Peng Cui 001; Nicholas Jing Yuan; Xing Xie 001; Shiqiang Yang (AAAI, 2016)

Steering Social Media Promotions with Effective Strategies. - Kun Kuang; Meng Jiang 001; Peng Cui 001; Shiqiang Yang (ICDM, 2016)

Asymmetric Transitivity Preserving Graph Embedding. - Mingdong Ou; Peng Cui 001; Jian Pei 001; Ziwei Zhang 001; Wenwu Zhu 001 (KDD, 2016)

Structural Deep Network Embedding. - Daixin Wang; Peng Cui 001; Wenwu Zhu 001 (KDD, 2016)

Beyond Sigmoids: The NetTide Model for Social Network Growth, and Its Applications. - Chengxi Zang; Peng Cui 001; Christos Faloutsos (KDD, 2016)

Come-and-Go Patterns of Group Evolution: A Dynamic Model. - Tianyang Zhang 001; Peng Cui 001; Christos Faloutsos; Yunfei Lu; Hao Ye; Wenwu Zhu 001; Shiqiang Yang (KDD, 2016)

Social Media Profiler: Inferring Your Social Media Personality from Visual Attributes in Portrait. - Jie Nie; Lei Huang 010; Peng Cui 001; Zhen Li 024; Yan Yan 003; Zhiqiang Wei 002; Wenwu Zhu 001 (PCM (2), 2016)

Uncovering and Predicting Human Behaviors. - Peng Cui 001; Huan Liu 001; Charu C. Aggarwal; Fei Wang 001 (IEEE Intell. Syst., 2016)

Online Behavioral Analysis and Modeling [Guest Editorial]. - Peng Cui 001; Huan Liu 001; Charu C. Aggarwal; Fei Wang 001 (IEEE Intell. Syst., 2016)

Suspicious Behavior Detection: Current Trends and Future Directions. - Meng Jiang 001; Peng Cui 001; Christos Faloutsos (IEEE Intell. Syst., 2016)

Social-Sensed Multimedia Computing. - Peng Cui 001; Wenwu Zhu 001; Tat-Seng Chua; Ramesh C. Jain (IEEE Multim., 2016)

Inferring lockstep behavior from connectivity pattern in large graphs. - Meng Jiang 001; Peng Cui 001; Alex Beutel; Christos Faloutsos; Shiqiang Yang (Knowl. Inf. Syst., 2016)

Catching Synchronized Behaviors in Large Networks: A Graph Mining Approach. - Meng Jiang 001; Peng Cui 001; Alex Beutel; Christos Faloutsos; Shiqiang Yang (ACM Trans. Knowl. Discov. Data, 2016)

Spotting Suspicious Behaviors in Multimodal Data: A General Metric and Algorithms. - Meng Jiang 001; Alex Beutel; Peng Cui 001; Bryan Hooi; Shiqiang Yang; Christos Faloutsos (IEEE Trans. Knowl. Data Eng., 2016)

Treatment Effect Estimation with Data-Driven Variable Decomposition. - Kun Kuang; Peng Cui 001; Bo Li 064; Meng Jiang 001; Shiqiang Yang; Fei Wang 001 (AAAI, 2017)

Community Preserving Network Embedding. - Xiao Wang 017; Peng Cui 001; Jing Wang 023; Jian Pei 001; Wenwu Zhu 001; Shiqiang Yang (AAAI, 2017)

Estimating Treatment Effect in the Wild via Differentiated Confounder Balancing. - Kun Kuang; Peng Cui 001; Bo Li 064; Meng Jiang 001; Shiqiang Yang (KDD, 2017)

A Temporally Heterogeneous Survival Framework with Application to Social Behavior Dynamics. - Linyun Yu; Peng Cui 001; Chaoming Song; Tianyang Zhang 001; Shiqiang Yang (KDD, 2017)

Long Short Memory Process: Modeling Growth Dynamics of Microscopic Social Connectivity. - Chengxi Zang; Peng Cui 001; Christos Faloutsos; Wenwu Zhu 001 (KDD, 2017)

Human-like Visual Learning and Reasoning. - Peng Cui 001; Wenwu Zhu 001 (ACM Multimedia, 2017)

Quantifying Structural Patterns of Information Cascades. - Chengxi Zang; Peng Cui 001; Chaoming Song; Christos Faloutsos; Wenwu Zhu 001 (WWW (Companion Volume), 2017)

Structural patterns of information cascades and their implications for dynamics and semantics. - Chengxi Zang; Peng Cui 001; Chaoming Song; Christos Faloutsos; Wenwu Zhu 001 (CoRR, 2017)

On Image Classification: Correlation v.s. Causality. - Zheyan Shen; Peng Cui 001; Kun Kuang; Bo Li 064 (CoRR, 2017)

Learning to Learn Image Classifiers with Informative Visual Analogy. - Linjun Zhou; Peng Cui 001; Shiqiang Yang; Wenwu Zhu 001; Qi Tian 001 (CoRR, 2017)

Joint user-interest and social-influence emotion prediction for individuals. - Ting Rui; Peng Cui 001; Wenwu Zhu 001 (Neurocomputing, 2017)

Uncovering and predicting the dynamic process of information cascades with survival model. - Linyun Yu; Peng Cui 001; Fei Wang 001; Chaoming Song; Shiqiang Yang (Knowl. Inf. Syst., 2017)

Special issue on intelligent urban computing with big data. - Wu Liu; Peng Cui 001; Jukka K. Nurminen; Jingdong Wang 001 (Mach. Vis. Appl., 2017)

comeNgo: A Dynamic Model for Social Group Evolution. - Tianyang Zhang 001; Peng Cui 001; Christos Faloutsos; Yunfei Lu; Hao Ye; Wenwu Zhu 001; Shiqiang Yang (ACM Trans. Knowl. Discov. Data, 2017)

Social-sensed multimedia computing. - Peng Cui 001 (Frontiers of Multimedia Research, 2018)

DepthLGP: Learning Embeddings of Out-of-Sample Nodes in Dynamic Networks. - Jianxin Ma; Peng Cui 001; Wenwu Zhu 001 (AAAI, 2018)

Structural Deep Embedding for Hyper-Networks. - Ke Tu; Peng Cui 001; Xiao Wang 017; Fei Wang 001; Wenwu Zhu 001 (AAAI, 2018)

Deep Asymmetric Transfer Network for Unbalanced Domain Adaptation. - Daixin Wang; Peng Cui 001; Wenwu Zhu 001 (AAAI, 2018)

TIMERS: Error-Bounded SVD Restart on Dynamic Networks. - Ziwei Zhang 001; Peng Cui 001; Jian Pei 001; Xiao Wang 017; Wenwu Zhu 001 (AAAI, 2018)

Collective Human Behavior in Cascading System: Discovery, Modeling and Applications. - Yunfei Lu; Linyun Yu; Tianyang Zhang 001; Chengxi Zang; Peng Cui 001; Chaoming Song; Wenwu Zhu 001 (ICDM, 2018)

Billion-Scale Network Embedding with Iterative Random Projection. - Ziwei Zhang 001; Peng Cui 001; Haoyang Li 001; Xiao Wang 017; Wenwu Zhu 001 (ICDM, 2018)

Power-law Distribution Aware Trust Prediction. - Xiao Wang 017; Ziwei Zhang 001; Jing Wang 023; Peng Cui 001; Shiqiang Yang (IJCAI, 2018)

Scalable Optimization for Embedding Highly-Dynamic and Recency-Sensitive Data. - Xumin Chen; Peng Cui 001; Lingling Yi; Shiqiang Yang (KDD, 2018)

Stable Prediction across Unknown Environments. - Kun Kuang; Peng Cui 001; Susan Athey; Ruoxuan Xiong; Bo Li 064 (KDD, 2018)

Hierarchical Taxonomy Aware Network Embedding. - Jianxin Ma; Peng Cui 001; Xiao Wang 017; Wenwu Zhu 001 (KDD, 2018)

Deep Recursive Network Embedding with Regular Equivalence. - Ke Tu; Peng Cui 001; Xiao Wang 017; Philip S. Yu; Wenwu Zhu 001 (KDD, 2018)

Learning and Interpreting Complex Distributions in Empirical Data. - Chengxi Zang; Peng Cui 001; Wenwu Zhu 001 (KDD, 2018)

Arbitrary-Order Proximity Preserved Network Embedding. - Ziwei Zhang 001; Peng Cui 001; Xiao Wang 017; Jian Pei 001; Xuanrong Yao; Wenwu Zhu 001 (KDD, 2018)

Deep Variational Network Embedding in Wasserstein Space. - Dingyuan Zhu; Peng Cui 001; Daixin Wang; Wenwu Zhu 001 (KDD, 2018)

Session details: FF-2. - Peng Cui 001 (ACM Multimedia, 2018)

Deep Learning for Multimedia: Science or Technology? - Jitao Sang; Jun Yu 002; Ramesh C. Jain; Rainer Lienhart; Peng Cui 001; Jiashi Feng (ACM Multimedia, 2018)

Causally Regularized Learning with Agnostic Data Selection Bias. - Zheyan Shen; Peng Cui 001; Kun Kuang; Bo Li 064; Peixuan Chen (ACM Multimedia, 2018)

Effective Promotional Strategies Selection in Social Media: A Data-Driven Approach. - Kun Kuang; Meng Jiang 001; Peng Cui 001; Hengliang Luo; Shiqiang Yang (IEEE Trans. Big Data, 2018)

On Power Law Growth of Social Networks. - Chengxi Zang; Peng Cui 001; Christos Faloutsos; Wenwu Zhu 001 (IEEE Trans. Knowl. Data Eng., 2018)

High-Order Proximity Preserved Embedding for Dynamic Networks. - Dingyuan Zhu; Peng Cui 001; Ziwei Zhang 001; Jian Pei 001; Wenwu Zhu 001 (IEEE Trans. Knowl. Data Eng., 2018)

General Knowledge Embedded Image Representation Learning. - Peng Cui 001; Shaowei Liu; Wenwu Zhu 001 (IEEE Trans. Multim., 2018)

Learning to Learn Image Classifiers With Visual Analogy. - Linjun Zhou; Peng Cui 001; Shiqiang Yang; Wenwu Zhu 001; Qi Tian 001 (CVPR, 2019)

Context-Aware Attention-Based Data Augmentation for POI Recommendation. - Yang Li 140; Yadan Luo; Zheng Zhang 006; Shazia Sadiq; Peng Cui 001 (ICDE Workshops, 2019)

Collaborative Generative Adversarial Network for Recommendation Systems. - Yuzhen Tong; Yadan Luo; Zheng Zhang 006; Shazia Sadiq; Peng Cui 001 (ICDE Workshops, 2019)

A Semi-Supervised Graph Attentive Network for Financial Fraud Detection. - Daixin Wang; Yuan Qi 001; Jianbin Lin; Peng Cui 001; Quanhui Jia; Zhen Wang; Yanming Fang; Quan Yu; Jun Zhou 011; Shuang Yang (ICDM, 2019)

Causation-Driven Visualizations for Insurance Recommendation. - Zhixiu Liu; Chengxi Zang; Kun Kuang; Hao Zou 001; Hu Zheng; Peng Cui 001 (ICME Workshops, 2019)

Disentangled Graph Convolutional Networks. - Jianxin Ma; Peng Cui 001; Kun Kuang; Xin Wang 019; Wenwu Zhu 001 (ICML, 2019)

Disparity-preserved Deep Cross-platform Association for Cross-platform Video Recommendation. - Shengze Yu; Xin Wang 019; Wenwu Zhu 001; Peng Cui 001; Jingdong Wang 001 (IJCAI, 2019)

Learning From Networks: Algorithms, Theory, and Applications. - Xiao Huang 001; Peng Cui 001; Yuxiao Dong; Jundong Li; Huan Liu 001; Jian Pei 001; Le Song; Jie Tang 001; Fei Wang 001; Hongxia Yang; Wenwu Zhu 001 (KDD, 2019)

Preface: The 2019 ACM SIGKDD Workshop on Causal Discovery. - Thuc Duy Le; Jiuyong Li; Kun Zhang 001; Emre Kiciman; Peng Cui 001; Aapo Hyvärinen (CD@KDD, 2019)

Fates of Microscopic Social Ecosystems: Keep Alive or Dead? - Haoyang Li 001; Peng Cui 001; Chengxi Zang; Tianyang Zhang 001; Wenwu Zhu 001; Yishi Lin (KDD, 2019)

Uncovering the Co-driven Mechanism of Social and Content Links in User Churn Phenomena. - Yunfei Lu; Linyun Yu; Peng Cui 001; Chengxi Zang; Renzhe Xu; Yihao Liu; Lei Li 005; Wenwu Zhu 001 (KDD, 2019)

MVAN: Multi-view Attention Networks for Real Money Trading Detection in Online Games. - Jianrong Tao; Jianshi Lin; Shize Zhang; Sha Zhao; Runze Wu 001; Changjie Fan; Peng Cui 001 (KDD, 2019)

AutoNE: Hyperparameter Optimization for Massive Network Embedding. - Ke Tu; Jianxin Ma; Peng Cui 001; Jian Pei 001; Wenwu Zhu 001 (KDD, 2019)

Uncovering Pattern Formation of Information Flow. - Chengxi Zang; Peng Cui 001; Chaoming Song; Wenwu Zhu 001; Fei Wang 001 (KDD, 2019)

Dynamical Origins of Distribution Functions. - Chengxi Zang; Peng Cui 001; Wenwu Zhu 001; Fei Wang 001 (KDD, 2019)

Robust Graph Convolutional Networks Against Adversarial Attacks. - Dingyuan Zhu; Ziwei Zhang 001; Peng Cui 001; Wenwu Zhu 001 (KDD, 2019)

Focused Context Balancing for Robust Offline Policy Evaluation. - Hao Zou 001; Kun Kuang; Boqi Chen; Peixuan Chen; Peng Cui 001 (KDD, 2019)

Learning Disentangled Representations for Recommendation. - Jianxin Ma; Chang Zhou; Peng Cui 001; Hongxia Yang; Wenwu Zhu 001 (NeurIPS, 2019)

Heterogeneous Graph Attention Network. - Xiao Wang 017; Houye Ji; Chuan Shi 001; Bai Wang 001; Yanfang Ye 001; Peng Cui 001; Philip S. Yu (WWW, 2019)

NICO: A Dataset Towards Non-I.I.D. Image Classification. - Yue He 001; Zheyan Shen; Peng Cui 001 (CoRR, 2019)

The General Black-box Attack Method for Graph Neural Networks. - Heng Chang; Yu Rong 001; Tingyang Xu; Wenbing Huang 001; Honglei Zhang; Peng Cui 001; Wenwu Zhu 001; Junzhou Huang (CoRR, 2019)

Video Summarization by Learning Deep Side Semantic Embedding. - Yitian Yuan; Tao Mei 001; Peng Cui 001; Wenwu Zhu 001 (IEEE Trans. Circuits Syst. Video Technol., 2019)

Introduction to the Special Section on Advances in Causal Discovery and Inference. - Jiuyong Li; Kun Zhang 001; Emre Kiciman; Peng Cui 001 (ACM Trans. Intell. Syst. Technol., 2019)

A Survey on Network Embedding. - Peng Cui 001; Xiao Wang 017; Jian Pei 001; Wenwu Zhu 001 (IEEE Trans. Knowl. Data Eng., 2019)

A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models. - Heng Chang; Yu Rong 001; Tingyang Xu; Wenbing Huang 001; Honglei Zhang; Peng Cui 001; Wenwu Zhu 001; Junzhou Huang (AAAI, 2020)

Stable Prediction with Model Misspecification and Agnostic Distribution Shift. - Kun Kuang; Ruoxuan Xiong; Peng Cui 001; Susan Athey; Bo Li 064 (AAAI, 2020)

Rule-Guided Compositional Representation Learning on Knowledge Graphs. - Guanglin Niu; Yongfei Zhang; Bo Li 006; Peng Cui 001; Si Liu 001; Jingyang Li; Xiaowei Zhang 003 (AAAI, 2020)

Stable Learning via Sample Reweighting. - Zheyan Shen; Peng Cui 001; Tong Zhang 001; Kun Kuang (AAAI, 2020)

Graph Neural Network for Tag Ranking in Tag-enhanced Video Recommendation. - Qi Liu 050; Ruobing Xie; Lei Chen; Shukai Liu; Ke Tu; Peng Cui 001; Bo Zhang 056; Leyu Lin (CIKM, 2020)

Match Tracing: A Unified Framework for Real-time Win Prediction and Quantifiable Performance Evaluation. - Kai Wang 064; Hao Li; Linxia Gong; Jianrong Tao; Runze Wu 001; Changjie Fan; Liang Chen 001; Peng Cui 001 (CIKM, 2020)

Learning to Select Base Classes for Few-Shot Classification. - Linjun Zhou; Peng Cui 001; Xu Jia 012; Shiqiang Yang; Qi Tian 001 (CVPR, 2020)

AM-GCN: Adaptive Multi-channel Graph Convolutional Networks. - Xiao Wang 017; Meiqi Zhu; Deyu Bo; Peng Cui 001; Chuan Shi 001; Jian Pei 001 (KDD, 2020)

Causal Inference Meets Machine Learning. - Peng Cui 001; Zheyan Shen; Sheng Li 001; Liuyi Yao; Yaliang Li; Zhixuan Chu; Jing Gao 004 (KDD, 2020)

OptMatch: Optimized Matchmaking via Modeling the High-Order Interactions on the Arena. - Linxia Gong; Xiaochuan Feng; Dezhi Ye; Hao Li; Runze Wu 001; Jianrong Tao; Changjie Fan; Peng Cui 001 (KDD, 2020)

Learning Stable Graphs from Multiple Environments with Selection Bias. - Yue He 001; Peng Cui 001; Jianxin Ma; Hao Zou 001; Xiaowei Wang; Hongxia Yang; Philip S. Yu (KDD, 2020)

Preface: The 2020 ACM SIGKDD Workshop on Causal Discovery. - Thuc Duy Le; Lin Liu 003; Kun Zhang 001; Emre Kiciman; Peng Cui 001; Aapo Hyvärinen (CD@KDD, 2020)

Disentangled Self-Supervision in Sequential Recommenders. - Jianxin Ma; Chang Zhou; Hongxia Yang; Peng Cui 001; Xin Wang 019; Wenwu Zhu 001 (KDD, 2020)

Stable Learning via Differentiated Variable Decorrelation. - Zheyan Shen; Peng Cui 001; Jiashuo Liu; Tong Zhang 001; Bo Li 064; Zhitang Chen (KDD, 2020)

Recent Advances on Graph Analytics and Its Applications in Healthcare. - Fei Wang 001; Peng Cui 001; Jian Pei 001; Yangqiu Song; Chengxi Zang (KDD, 2020)

Algorithmic Decision Making with Conditional Fairness. - Renzhe Xu; Peng Cui 001; Kun Kuang; Bo Li 064; Linjun Zhou; Zheyan Shen; Wei Cui (KDD, 2020)

Counterfactual Prediction for Bundle Treatment. - Hao Zou 001; Peng Cui 001; Bo Li 064; Zheyan Shen; Jianxin Ma; Hongxia Yang; Yue He 001 (NeurIPS, 2020)

Structural Deep Clustering Network. - Deyu Bo; Xiao Wang 017; Chuan Shi 001; Meiqi Zhu; Emiao Lu; Peng Cui 001 (WWW, 2020)

Network embedding in biomedical data science. - Chang Su 002; Jie Tong; Yongjun Zhu; Peng Cui 001; Fei Wang 001 (Briefings Bioinform., 2020)

Deep Learning for Learning Graph Representations. - Wenwu Zhu 001; Xin Wang 019; Peng Cui 001 (CoRR, 2020)

Invariant Adversarial Learning for Distributional Robustness. - Jiashuo Liu; Zheyan Shen; Peng Cui 001; Linjun Zhou; Kun Kuang; Bo Li 064; Yishi Lin (CoRR, 2020)

Stable Prediction via Leveraging Seed Variable. - Kun Kuang; Bo Li 064; Peng Cui 001; Yue Liu; Jianrong Tao; Yueting Zhuang; Fei Wu 001 (CoRR, 2020)

Adversarial Eigen Attack on Black-Box Models. - Linjun Zhou; Peng Cui 001; Yinan Jiang; Shiqiang Yang (CoRR, 2020)

A Simple and General Graph Neural Network with Stochastic Message Passing. - Ziwei Zhang 001; Chenhao Niu; Peng Cui 001; Bo Zhang 056; Wei Cui; Wenwu Zhu 001 (CoRR, 2020)

Exploring the collective human behavior in cascading systems: a comprehensive framework. - Yunfei Lu; Linyun Yu; Tianyang Zhang 001; Chengxi Zang; Peng Cui 001; Chaoming Song; Wenwu Zhu 001 (Knowl. Inf. Syst., 2020)

Treatment Effect Estimation via Differentiated Confounder Balancing and Regression. - Kun Kuang; Peng Cui 001; Bo Li 064; Meng Jiang 001; Yashen Wang; Fei Wu 001; Shiqiang Yang (ACM Trans. Knowl. Discov. Data, 2020)

Stable Adversarial Learning under Distributional Shifts. - Jiashuo Liu; Zheyan Shen; Peng Cui 001; Linjun Zhou; Kun Kuang; Bo Li 064; Yishi Lin (AAAI, 2021)

Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation. - Kai Wang 064; Zhene Zou; Qilin Deng; Jianrong Tao; Runze Wu 001; Changjie Fan; Liang Chen 001; Peng Cui 001 (AAAI, 2021)

Conditional Graph Attention Networks for Distilling and Refining Knowledge Graphs in Recommendation. - Ke Tu; Peng Cui 001; Daixin Wang; Zhiqiang Zhang 012; Jun Zhou 011; Yuan Qi 001; Wenwu Zhu 001 (CIKM, 2021)

Deep Stable Learning for Out-of-Distribution Generalization. - Xingxuan Zhang; Peng Cui 001; Renzhe Xu; Linjun Zhou; Yue He 001; Zheyan Shen (CVPR, 2021)

GQNAS: Graph Q Network for Neural Architecture Search. - Yijian Qin; Xin Wang 019; Peng Cui 001; Wenwu Zhu 001 (ICDM, 2021)

Heterogeneous Risk Minimization. - Jiashuo Liu; Zheyuan Hu; Peng Cui 001; Bo Li 064; Zheyan Shen (ICML, 2021)

Globally Optimized Matchmaking in Online Games. - Qilin Deng; Hao Li; Kai Wang 064; Zhipeng Hu; Runze Wu 001; Linxia Gong; Jianrong Tao; Changjie Fan; Peng Cui 001 (KDD, 2021)

DARING: Differentiable Causal Discovery with Residual Independence. - Yue He 001; Peng Cui 001; Zheyan Shen; Renzhe Xu; Furui Liu; Yong Jiang 001 (KDD, 2021)

Purify and Generate: Learning Faithful Item-to-Item Graph from Noisy User-Item Interaction Behaviors. - Yue He 001; Yancheng Dong; Peng Cui 001; Yuhang Jiao 001; Xiaowei Wang; Ji Liu 002; Philip S. Yu (KDD, 2021)

Signed Graph Neural Network with Latent Groups. - Haoxin Liu 002; Ziwei Zhang 001; Peng Cui 001; Yafeng Zhang; Qiang Cui; Jiashuo Liu; Wenwu Zhu 001 (KDD, 2021)

Out-of-distribution Generalization and Its Applications for Multimedia. - Xin Wang 019; Peng Cui 001; Wenwu Zhu 001 (ACM Multimedia, 2021)

Kernelized Heterogeneous Risk Minimization. - Jiashuo Liu; Zheyuan Hu; Peng Cui 001; Bo Li 064; Zheyan Shen (NeurIPS, 2021)

Temporal-Aware Graph Neural Network for Credit Risk Prediction. - Daixin Wang; Zhiqiang Zhang 012; Jun Zhou 011; Peng Cui 001; Jingli Fang; Quanhui Jia; Yanming Fang; Yuan Qi 001 (SDM, 2021)

On the Equivalence of Decoupled Graph Convolution Network and Label Propagation. - Hande Dong; Jiawei Chen 007; Fuli Feng; Xiangnan He 001; Shuxian Bi; Zhaolin Ding; Peng Cui 001 (WWW, 2021)

Interpreting and Unifying Graph Neural Networks with An Optimization Framework. - Meiqi Zhu; Xiao Wang 017; Chuan Shi 001; Houye Ji; Peng Cui 001 (WWW, 2021)

Domain-Irrelevant Representation Learning for Unsupervised Domain Generalization. - Xingxuan Zhang; Linjun Zhou; Renzhe Xu; Peng Cui 001; Zheyan Shen; Haoxin Liu 002 (CoRR, 2021)

Towards Out-Of-Distribution Generalization: A Survey. - Zheyan Shen; Jiashuo Liu; Yue He 001; Xingxuan Zhang; Renzhe Xu; Han Yu 009; Peng Cui 001 (CoRR, 2021)

Conditional Attention Networks for Distilling Knowledge Graphs in Recommendation. - Ke Tu; Peng Cui 001; Daixin Wang; Zhiqiang Zhang 012; Jun Zhou 011; Yuan Qi 001; Wenwu Zhu 001 (CoRR, 2021)

Why Stable Learning Works? A Theory of Covariate Shift Generalization. - Renzhe Xu; Peng Cui 001; Zheyan Shen; Xingxuan Zhang; Tong Zhang 001 (CoRR, 2021)

Revisiting Transformation Invariant Geometric Deep Learning: Are Initial Representations All You Need? - Ziwei Zhang 001; Xin Wang 019; Zeyang Zhang 001; Peng Cui 001; Wenwu Zhu 001 (CoRR, 2021)

Continuous treatment effect estimation via generative adversarial de-confounding. - Kun Kuang; Yunzhe Li 003; Bo Li 064; Peng Cui 001; Hongxia Yang; Jianrong Tao; Fei Wu 001 (Data Min. Knowl. Discov., 2021)

Towards Non-I.I.D. image classification: A dataset and baselines. - Yue He 001; Zheyan Shen; Peng Cui 001 (Pattern Recognit., 2021)

Collaborative Learning for Extremely Low Bit Asymmetric Hashing. - Yadan Luo; Zi Huang; Yang Li 140; Fumin Shen; Yang Yang 002; Peng Cui 001 (IEEE Trans. Knowl. Data Eng., 2021)

Towards Unsupervised Domain Generalization. - Xingxuan Zhang; Linjun Zhou; Renzhe Xu; Peng Cui 001; Zheyan Shen; Haoxin Liu 002 (CVPR, 2022)

Adversarial Eigen Attack on BlackBox Models. - Linjun Zhou; Peng Cui 001; Xingxuan Zhang; Yinan Jiang; Shiqiang Yang (CVPR, 2022)

NICO Challenge: Out-of-Distribution Generalization for Image Recognition Challenges. - Xingxuan Zhang; Yue He 001; Tan Wang; Jiaxin Qi; Han Yu 009; Zimu Wang; Jie Peng; Renzhe Xu; Zheyan Shen; Yulei Niu; Hanwang Zhang; Peng Cui 001 (ECCV Workshops (6), 2022)

A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization. - Renzhe Xu; Xingxuan Zhang; Zheyan Shen; Tong Zhang 001; Peng Cui 001 (ICML, 2022)

Model Agnostic Sample Reweighting for Out-of-Distribution Learning. - Xiao Zhou; Yong Lin; Renjie Pi; Weizhong Zhang; Renzhe Xu; Peng Cui 001; Tong Zhang 001 (ICML, 2022)

Counterfactual Prediction for Outcome-Oriented Treatments. - Hao Zou 001; Bo Li 064; Jiangang Han; Shuiping Chen; Xuetao Ding; Peng Cui 001 (ICML, 2022)

Uncovering the Heterogeneous Effects of Preference Diversity on User Activeness: A Dynamic Mixture Model. - Yunfei Lu; Peng Cui 001; Linyun Yu; Lei Li 005; Wenwu Zhu 001 (KDD, 2022)

Invariant Preference Learning for General Debiasing in Recommendation. - Zimu Wang; Yue He 001; Jiashuo Liu; Wenchao Zou; Philip S. Yu; Peng Cui 001 (KDD, 2022)

A Graph Learning Based Framework for Billion-Scale Offline User Identification. - Daixin Wang; Zujian Weng; Zhengwei Wu; Zhiqiang Zhang 012; Peng Cui 001; Hongwei Zhao; Jun Zhou 011 (KDD, 2022)

ZIN: When and How to Learn Invariance Without Environment Partition? - Yong Lin; Shengyu Zhu 001; Lu Tan; Peng Cui 001 (NeurIPS, 2022)

Distributionally Robust Optimization with Data Geometry. - Jiashuo Liu; Jiayun Wu; Bo Li 064; Peng Cui 001 (NeurIPS, 2022)

Product Ranking for Revenue Maximization with Multiple Purchases. - Renzhe Xu; Xingxuan Zhang; Bo Li 064; Yafeng Zhang; Xiaolong Chen; Peng Cui 001 (NeurIPS, 2022)

CausPref: Causal Preference Learning for Out-of-Distribution Recommendation. - Yue He 001; Zimu Wang; Peng Cui 001; Hao Zou 001; Yafeng Zhang; Qiang Cui; Yong Jiang 001 (WWW, 2022)

Regulatory Instruments for Fair Personalized Pricing. - Renzhe Xu; Xingxuan Zhang; Peng Cui 001; Bo Li 064; Zheyan Shen; Jiazheng Xu (WWW, 2022)

Causal Disentanglement for Semantics-Aware Intent Learning in Recommendation. - Xiangmeng Wang; Qian Li 003; Dianer Yu; Peng Cui 001; Zhichao Wang 001; Guandong Xu (CoRR, 2022)

ZIN: When and How to Learn Invariance by Environment Inference? - Yong Lin; Shengyu Zhu 001; Peng Cui 001 (CoRR, 2022)

Towards Domain Generalization in Object Detection. - Xingxuan Zhang; Zekai Xu; Renzhe Xu; Jiashuo Liu; Peng Cui 001; Weitao Wan; Chong Sun; Chen Li (CoRR, 2022)

A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. - Bingzhe Wu; Jintang Li; Junchi Yu; Yatao Bian; Hengtong Zhang; Chaochao Chen 001; Chengbin Hou; Guoji Fu; Liang Chen 001; Tingyang Xu; Yu Rong 001; Xiaolin Zheng; et al. (CoRR, 2022)

Distributionally Invariant Learning: Rationalization and Practical Algorithms. - Jiashuo Liu; Jiayun Wu; Jie Peng; Zheyan Shen; Bo Li 064; Peng Cui 001 (CoRR, 2022)

Distilling Causal Metaknowledge from Knowledge Graphs. - Yuan Meng; Yancheng Dong; Shixuan Liu; Chaohao Yuan; Yue He 001; Jian Pei 001; Peng Cui 001 (IEEE Data Eng. Bull., 2022)

Stable learning establishes some common ground between causal inference and machine learning. - Peng Cui 001; Susan Athey (Nat. Mach. Intell., 2022)

Improving Accuracy and Diversity in Matching of Recommendation With Diversified Preference Network. - Ruobing Xie; Qi Liu 050; Shukai Liu; Ziwei Zhang 001; Peng Cui 001; Bo Zhang 056; Leyu Lin (IEEE Trans. Big Data, 2022)

Data-Driven Variable Decomposition for Treatment Effect Estimation. - Kun Kuang; Peng Cui 001; Hao Zou 001; Bo Li 064; Jianrong Tao; Fei Wu 001; Shiqiang Yang (IEEE Trans. Knowl. Data Eng., 2022)

Intention-Aware Sequential Recommendation With Structured Intent Transition. - Haoyang Li 001; Xin Wang 019; Ziwei Zhang 001; Jianxin Ma; Peng Cui 001; Wenwu Zhu 001 (IEEE Trans. Knowl. Data Eng., 2022)

Dynamic Heterogeneous Information Network Embedding With Meta-Path Based Proximity. - Xiao Wang 017; Yuanfu Lu; Chuan Shi 001; Ruijia Wang; Peng Cui 001; Shuai Mou (IEEE Trans. Knowl. Data Eng., 2022)

Deep Learning on Graphs: A Survey. - Ziwei Zhang 001; Peng Cui 001; Wenwu Zhu 001 (IEEE Trans. Knowl. Data Eng., 2022)

Bilateral Filtering Graph Convolutional Network for Multi-relational Social Recommendation in the Power-law Networks. - Minghao Zhao 002; Qilin Deng; Kai Wang 064; Runze Wu 001; Jianrong Tao; Changjie Fan; Liang Chen 001; Peng Cui 001 (ACM Trans. Inf. Syst., 2022)

Covariate-Shift Generalization via Random Sample Weighting. - Yue He 001; Xinwei Shen 002; Renzhe Xu; Tong Zhang 001; Yong Jiang 001; Wenchao Zou; Peng Cui 001 (AAAI, 2023)

Stable Learning via Sparse Variable Independence. - Han Yu 009; Peng Cui 001; Yue He 001; Zheyan Shen; Yong Lin; Renzhe Xu; Xingxuan Zhang (AAAI, 2023)

Factual Observation Based Heterogeneity Learning for Counterfactual Prediction. - Hao Zou 001; Haotian Wang 001; Renzhe Xu; Bo Li 064; Jian Pei 001; Ye Jun Jian; Peng Cui 001 (CLeaR, 2023)

NICO++: Towards Better Benchmarking for Domain Generalization. - Xingxuan Zhang; Yue He 001; Renzhe Xu; Han Yu 009; Zheyan Shen; Peng Cui 001 (CVPR, 2023)

Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization. - Xingxuan Zhang; Renzhe Xu; Han Yu 009; Hao Zou 001; Peng Cui 001 (CVPR, 2023)

A Scalable Social Recommendation Framework with Decoupled Graph Neural Network. - Ke Tu; Zhengwei Wu; Binbin Hu; Zhiqiang Zhang 012; Peng Cui 001; Xiaolong Li 005; Jun Zhou 011 (DASFAA (4), 2023)

Flatness-Aware Minimization for Domain Generalization. - Xingxuan Zhang; Renzhe Xu; Han Yu 009; Yancheng Dong; Pengfei Tian; Peng Cui 001 (ICCV, 2023)

Intention-aware Sequential Recommendation with Structured Intent Transition : (Extended Abstract). - Haoyang Li 001; Xin Wang 019; Ziwei Zhang 001; Jianxin Ma; Peng Cui 001; Wenwu Zhu 001 (ICDE, 2023)

Measure the Predictive Heterogeneity. - Jiashuo Liu; Jiayun Wu; Renjie Pi; Renzhe Xu; Xingxuan Zhang; Bo Li 064; Peng Cui 001 (ICLR, 2023)

Propensity Matters: Measuring and Enhancing Balancing for Recommendation. - Haoxuan Li 001; Yanghao Xiao; Chunyuan Zheng 001; Peng Wu 012; Peng Cui 001 (ICML, 2023)

Provably Invariant Learning without Domain Information. - Xiaoyu Tan; Lin Yong; Shengyu Zhu 001; Chao Qu; Xihe Qiu; Yinghui Xu; Peng Cui 001; Yuan Qi 001 (ICML, 2023)

Competing for Shareable Arms in Multi-Player Multi-Armed Bandits. - Renzhe Xu; Haotian Wang 001; Xingxuan Zhang; Bo Li 064; Peng Cui 001 (ICML, 2023)

Who Should Be Given Incentives? Counterfactual Optimal Treatment Regimes Learning for Recommendation. - Haoxuan Li 001; Chunyuan Zheng 001; Peng Wu 012; Kun Kuang; Yue Liu; Peng Cui 001 (KDD, 2023)

Graph Neural Networks: Foundation, Frontiers and Applications. - Lingfei Wu 001; Peng Cui 001; Jian Pei 001; Liang Zhao 002; Xiaojie Guo 002 (KDD, 2023)

A Data-Driven Decision Support Framework for Player Churn Analysis in Online Games. - Yu Xiong; Runze Wu 001; Shiwei Zhao; Jianrong Tao; Xudong Shen; Tangjie Lyu; Changjie Fan; Peng Cui 001 (KDD, 2023)

Preface: The 2023 ACM SIGKDD Workshop on Causal Discovery, Prediction and Decision. - Thuc Duy Le; Jiuyong Li; Robert Osazuwa Ness; Sofia Triantafillou; Shohei Shimizu; Peng Cui 001; Kun Kuang; Jian Pei 001; Fei Wang 001; Mattia Prosperi (CDPD, 2023)

On the Need for a Language Describing Distribution Shifts: Illustrations on Tabular Datasets. - Jiashuo Liu; Tianyu Wang; Peng Cui 001; Hongseok Namkoong (NeurIPS, 2023)

Tutorials at The Web Conference 2023. - Valeria Fionda; Olaf Hartig; Reyhaneh Abdolazimi; Sihem Amer-Yahia; Hongzhi Chen; Xiao Chen 016; Peng Cui 001; Jeffrey Dalton 001; Xin Luna Dong; Lisette Espín-Noboa; Wenqi Fan; Manuela Fritz; et al. (WWW (Companion Volume), 2023)

Offline Policy Evaluation in Large Action Spaces via Outcome-Oriented Action Grouping. - Jie Peng; Hao Zou 001; Jiashuo Liu; Shaoming Li; Yibao Jiang; Jian Pei 001; Peng Cui 001 (WWW, 2023)

Predictive Heterogeneity: Measures and Applications. - Jiashuo Liu; Jiayun Wu; Bo Li 064; Peng Cui 001 (CoRR, 2023)

Meta Adaptive Task Sampling for Few-Domain Generalization. - Zheyan Shen; Han Yu 009; Peng Cui 001; Jiashuo Liu; Xingxuan Zhang; Linjun Zhou; Furui Liu (CoRR, 2023)

Emergence and Causality in Complex Systems: A Survey on Causal Emergence and Related Quantitative Studies. - Bing Yuan; Zhang Jiang; Aobo Lyu; Jiayun Wu; Zhipeng Wang; Mingzhe Yang; Kaiwei Liu; Muyun Mou; Peng Cui 001 (CoRR, 2023)

Differentiated matching for individual and average treatment effect estimation. - Ziyu Zhao 001; Kun Kuang; Bo Li 064; Peng Cui 001; Runze Wu 001; Jun Xiao 001; Fei Wu 001 (Data Min. Knowl. Discov., 2023)

Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs. - Ziwei Zhang 001; Peng Cui 001; Jian Pei 001; Xin Wang 019; Wenwu Zhu 001 (IEEE Trans. Knowl. Data Eng., 2023)

Adversarial Attack Framework on Graph Embedding Models With Limited Knowledge. - Heng Chang; Yu Rong 001; Tingyang Xu; Wenbing Huang 001; Honglei Zhang; Peng Cui 001; Xin Wang 019; Wenwu Zhu 001; Junzhou Huang (IEEE Trans. Knowl. Data Eng., 2023)

Stable Prediction With Leveraging Seed Variable. - Kun Kuang; Haotian Wang 001; Yue Liu; Ruoxuan Xiong; Runze Wu 001; Weiming Lu 001; Yueting Zhuang; Fei Wu 001; Peng Cui 001; Bo Li 064 (IEEE Trans. Knowl. Data Eng., 2023)

Permutation-Equivariant and Proximity-Aware Graph Neural Networks With Stochastic Message Passing. - Ziwei Zhang 001; Chenhao Niu; Peng Cui 001; Jian Pei 001; Bo Zhang 056; Wenwu Zhu 001 (IEEE Trans. Knowl. Data Eng., 2023)

Group-based social diffusion in recommendation. - Xumin Chen; Ruobing Xie; Zhijie Qiu; Peng Cui 001; Ziwei Zhang 001; Shukai Liu; Shiqiang Yang; Bo Zhang 056; Leyu Lin (World Wide Web (WWW), 2023)

Causal Disentanglement for Semantic-Aware Intent Learning in Recommendation. - Xiangmeng Wang; Qian Li 003; Dianer Yu; Peng Cui 001; Zhichao Wang 001; Guandong Xu (IEEE Trans. Knowl. Data Eng., 2023)

Distributionally Robust Learning With Stable Adversarial Training. - Jiashuo Liu; Zheyan Shen; Peng Cui 001; Linjun Zhou; Kun Kuang; Bo Li 064 (IEEE Trans. Knowl. Data Eng., 2023)

Guest Editorial Introduction to the Special Issue on Anomaly Detection in Emerging Data-Driven Applications: Theory, Algorithms, and Applications. - Jianxin Li 002; Lifang He 001; Hao Peng 001; Peng Cui 001; Charu C. Aggarwal; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2023)

Enhancing Distributional Stability among Sub-populations. - Jiashuo Liu; Jiayun Wu; Jie Peng; Xiaoyu Wu; Yang Zheng; Bo Li 064; Peng Cui 001 (AISTATS, 2024)

Rethinking the Evaluation Protocol of Domain Generalization. - Han Yu 009; Xingxuan Zhang; Renzhe Xu; Jiashuo Liu; Yue He 001; Peng Cui 001 (CVPR, 2024)

Learning Feasible Causal Algorithmic Recourse without Prior Structure. - Haotian Wang 001; Hao Zou 001; Xueguang Zhou; Shangwen Wang; Long Lan; Wenjing Yang 002; Peng Cui 001 (ICDM (Workshops), 2024)

Debiased Collaborative Filtering with Kernel-Based Causal Balancing. - Haoxuan Li 001; Chunyuan Zheng 001; Yanghao Xiao; Peng Wu 012; Zhi Geng; Xu Chen 017; Peng Cui 001 (ICLR, 2024)

Domain-wise Data Acquisition to Improve Performance under Distribution Shift. - Yue He 001; Dongbai Li; Pengfei Tian; Han Yu 009; Jiashuo Liu; Hao Zou 001; Peng Cui 001 (ICML, 2024)

Stability Evaluation through Distributional Perturbation Analysis. - José H. Blanchet; Peng Cui 001; Jiajin Li; Jiashuo Liu (ICML, 2024)

Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications. - Jiashuo Liu; Jiayun Wu; Tianyu Wang; Hao Zou 001; Bo Li 064; Peng Cui 001 (ICML, 2024)

Model-Agnostic Random Weighting for Out-of-Distribution Generalization. - Yue He 001; Pengfei Tian; Renzhe Xu; Xinwei Shen 002; Xingxuan Zhang; Peng Cui 001 (KDD, 2024)

Your Neighbor Matters: Towards Fair Decisions Under Networked Interference. - Wenjing Yang 002; Haotian Wang 001; Haoxuan Li 001; Hao Zou 001; Ruochun Jin; Kun Kuang; Peng Cui 001 (KDD, 2024)

AI for Education (AI4EDU): Advancing Personalized Education with LLM and Adaptive Learning. - Qingsong Wen; Jing Liang 008; Carles Sierra; Rose Luckin; Richard Jiarui Tong; Zitao Liu 001; Peng Cui 001; Jiliang Tang (KDD, 2024)

Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift. - Jiayun Wu; Jiashuo Liu; Peng Cui 001; Steven Wu 001 (NeurIPS, 2024)

On the Out-Of-Distribution Generalization of Multimodal Large Language Models. - Xingxuan Zhang; Jiansheng Li; Wenjing Chu; Junjia Hai; Renzhe Xu; Yuqing Yang; Shikai Guan; Jiazheng Xu; Peng Cui 001 (CoRR, 2024)

A Survey on Evaluation of Out-of-Distribution Generalization. - Han Yu 009; Jiashuo Liu; Xingxuan Zhang; Jiayun Wu; Peng Cui 001 (CoRR, 2024)

PPA-Game: Characterizing and Learning Competitive Dynamics Among Online Content Creators. - Renzhe Xu; Haotian Wang 001; Xingxuan Zhang; Bo Li 064; Peng Cui 001 (CoRR, 2024)

Stability Evaluation via Distributional Perturbation Analysis. - Jose H. Blanchet; Peng Cui 001; Jiajin Li; Jiashuo Liu (CoRR, 2024)

Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph. - Weihuang Zheng; Jiashuo Liu; Jiaxing Li; Jiayun Wu; Peng Cui 001; Youyong Kong (CoRR, 2024)

Stable Cox regression for survival analysis under distribution shifts. - Shaohua Fan; Renzhe Xu; Qian Dong; Yue He 001; Cheng Chang; Peng Cui 001 (Nat. Mac. Intell., 2024)

Generalizing Graph Neural Networks on Out-of-Distribution Graphs. - Shaohua Fan; Xiao Wang 017; Chuan Shi 001; Peng Cui 001; Bai Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Emergence and Causality in Complex Systems: A Survey of Causal Emergence and Related Quantitative Studies. - Bing Yuan; Jiang Zhang 006; Aobo Lyu; Jiayun Wu; Zhipeng Wang; Mingzhe Yang; Kaiwei Liu; Muyun Mou; Peng Cui 001 (Entropy, 2024)

GRASS: Learning Spatial-Temporal Properties From Chainlike Cascade Data for Microscopic Diffusion Prediction. - Huacheng Li; Chunhe Xia; Tianbo Wang; Zhao Wang; Peng Cui 001; Xiaojian Li 002 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Inductive Meta-Path Learning for Schema-Complex Heterogeneous Information Networks. - Shixuan Liu; Changjun Fan; Kewei Cheng; Yunfei Wang; Peng Cui 001; Yizhou Sun; Zhong Liu 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

COUNTS: Benchmarking Object Detectors and Multimodal Large Language Models under Distribution Shifts. - Jiansheng Li; Xingxuan Zhang; Hao Zou 001; Yige Guo; Renzhe Xu; Yilong Liu; Chuzhao Zhu; Yue He 001; Peng Cui 001 (CVPR, 2025)

On the Out-Of-Distribution Generalization of Large Multimodal Models. - Xingxuan Zhang; Jiansheng Li; Wenjing Chu; Junjia Hai; Renzhe Xu; Yuqing Yang; Shikai Guan; Jiazheng Xu; Liping Jing; Peng Cui 001 (CVPR, 2025)

Going Beyond Static: Understanding Shifts with Time-Series Attribution. - Jiashuo Liu; Nabeel Seedat; Peng Cui 001; Mihaela van der Schaar (ICLR, 2025)

Understanding the Generalization of In-Context Learning in Transformers: An Empirical Study. - Xingxuan Zhang; Haoran Wang; Jiansheng Li; Yuan Xue; Shikai Guan; Renzhe Xu; Hao Zou 001; Han Yu 009; Peng Cui 001 (ICLR, 2025)

Learning Feasible Causal Algorithmic Recourse: A Prior Structural Knowledge Free Approach. - Haotian Wang 001; Hao Zou 001; Xueguang Zhou; Shangwen Wang; Wenjing Yang 002; Peng Cui 001 (WWW, 2025)

Exploring and Exploiting Data Heterogeneity in Recommendation. - Zimu Wang; Jiashuo Liu; Hao Zou 001; Xingxuan Zhang; Yue He 001; Dongxu Liang; Peng Cui 001 (ACM Trans. Knowl. Discov. Data, 2025)

Error Slice Discovery via Manifold Compactness. - Han Yu 009; Jiashuo Liu; Hao Zou 001; Renzhe Xu; Yue He 001; Xingxuan Zhang; Peng Cui 001 (CoRR, 2025)

Sample Weight Averaging for Stable Prediction. - Han Yu 009; Yue He 001; Renzhe Xu; Dongbai Li; Jiayin Zhang; Wenchao Zou; Peng Cui 001 (CoRR, 2025)

AdaptSel: Adaptive Selection of Biased and Debiased Recommendation Models for Varying Test Environments. - Zimu Wang; Hao Zou 001; Jiashuo Liu; Jiayun Wu; Pengfei Tian; Yue He 001; Peng Cui 001 (ACM Trans. Knowl. Discov. Data, 2025)

Rule Learning for Knowledge Graph Reasoning under Agnostic Distribution Shift. - Shixuan Liu; Yue He 001; Yunfei Wang; Hao Zou 001; Haoxiang Cheng; Wenjing Yang 002; Peng Cui 001; Zhong Liu 002 (CoRR, 2025)

Generalizable Causal Reinforcement Learning for Out-of-Distribution Environments. - Sili Huang; Jifeng Hu; Hechang Chen; Peng Cui 001; Haiyin Piao; Lichao Sun 001; Bo Yang 002 (IEEE Trans. Ind. Informatics, 2025)