Peng Cui

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

171

Venues

Active years

2007–2026

Best venue rank

Where they publish

Papers

171 indexed papers, newest first.

Year	Venue	Title	Authors
2026	AAAI	Error Slice Discovery via Manifold Compactness.	Han Yu, Hao Zou, Jiashuo Liu, Renzhe Xu, Yue He, Xingxuan Zhang, Peng Cui
2026	AAAI	Generating Risky Samples with Conformity Constraints via Diffusion Models.	Han Yu, Hao Zou, Xingxuan Zhang, Zhengyi Wang, Yue He, Kehan Li, Peng Cui
2026	WWW	Generalist Model for Structured Data: Foundations, Frontiers and Applications.	Peng Cui, Xingxuan Zhang, Han-Jia Ye, Jintai Chen, Shuyang Li
2025	CVPR	Improving Accuracy and Calibration via Differentiated Deep Mutual Learning.	Han Liu, Peng Cui, Bingning Wang, Weipeng Chen, Yupeng Zhang, Jun Zhu, Xiaolin Hu
2025	CVPR	COUNTS: Benchmarking Object Detectors and Multimodal Large Language Models under Distribution Shifts.	Jiansheng Li, Xingxuan Zhang, Hao Zou, Yige Guo, Renzhe Xu, Yilong Liu, Chuzhao Zhu, Yue He, Peng Cui
2025	CVPR	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
2025	ICCV	ODP-Bench: Benchmarking Out-Of-Distribution Performance Prediction.	Han Yu, Kehan Li, Dongbai Li, Yue He, Xingxuan Zhang, Peng Cui
2025	ICLR	Going Beyond Static: Understanding Shifts with Time-Series Attribution.	Jiashuo Liu, Nabeel Seedat, Peng Cui, Mihaela van der Schaar
2025	ICLR	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, Han Yu, Peng Cui
2025	ICML	Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph.	Weihuang Zheng, Jiashuo Liu, Jiaxing Li, Jiayun Wu, Peng Cui, Youyong Kong
2025	KDD	Data Heterogeneity Modeling for Trustworthy Machine Learning.	Jiashuo Liu, Peng Cui
2025	KDD	PDMC: Generating Feasible Algorithmic Recourse via Perturbation Data Manifold Constraint.	Zimu Wang, Hao Zou, Han Yu, Shaohua Fan, Haotian Wang, Yue He, Peng Cui
2025	KDD	PPA-Game: Characterizing and Learning Competitive Dynamics Among Online Content Creators.	Renzhe Xu, Haotian Wang, Xingxuan Zhang, Bo Li, Peng Cui
2025	NAACL	Investigating the Zone of Proximal Development of Language Models for In-Context Learning.	Peng Cui, Mrinmaya Sachan
2025	NAACL	Grammar Control in Dialogue Response Generation for Language Learning Chatbots.	Dominik Glandorf, Peng Cui, Detmar Meurers, Mrinmaya Sachan
2025	WWW	Learning Feasible Causal Algorithmic Recourse: A Prior Structural Knowledge Free Approach.	Haotian Wang, Hao Zou, Xueguang Zhou, Shangwen Wang, Wenjing Yang, Peng Cui
2024	ACL	How to Engage your Readers? Generating Guiding Questions to Promote Active Reading.	Peng Cui, Vilm Zouhar, Xiaoyu Zhang, Mrinmaya Sachan
2024	AISTATS	Enhancing Distributional Stability among Sub-populations.	Jiashuo Liu, Jiayun Wu, Jie Peng, Xiaoyu Wu, Yang Zheng, Bo Li, Peng Cui
2024	CVPR	Rethinking the Evaluation Protocol of Domain Generalization.	Han Yu, Xingxuan Zhang, Renzhe Xu, Jiashuo Liu, Yue He, Peng Cui
2024	ICASSP	TransCycle: A Data Augmentation Method for 3D Human Pose Estimation.	Bowei Zhang, Rongting Xu, Peng Cui
2024	ICDM	Learning Feasible Causal Algorithmic Recourse without Prior Structure.	Haotian Wang, Hao Zou, Xueguang Zhou, Shangwen Wang, Long Lan, Wenjing Yang, Peng Cui
2024	ICLR	Debiased Collaborative Filtering with Kernel-Based Causal Balancing.	Haoxuan Li, Chunyuan Zheng, Yanghao Xiao, Peng Wu, Zhi Geng, Xu Chen, Peng Cui
2024	ICML	Domain-wise Data Acquisition to Improve Performance under Distribution Shift.	Yue He, Dongbai Li, Pengfei Tian, Han Yu, Jiashuo Liu, Hao Zou, Peng Cui
2024	ICML	Stability Evaluation through Distributional Perturbation Analysis.	Jos H. Blanchet, Peng Cui, Jiajin Li, Jiashuo Liu
2024	ICML	Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications.	Jiashuo Liu, Jiayun Wu, Tianyu Wang, Hao Zou, Bo Li, Peng Cui
2024	KDD	Model-Agnostic Random Weighting for Out-of-Distribution Generalization.	Yue He, Pengfei Tian, Renzhe Xu, Xinwei Shen, Xingxuan Zhang, Peng Cui
2024	KDD	Your Neighbor Matters: Towards Fair Decisions Under Networked Interference.	Wenjing Yang, Haotian Wang, Haoxuan Li, Hao Zou, Ruochun Jin, Kun Kuang, Peng Cui
2024	KDD	AI for Education (AI4EDU): Advancing Personalized Education with LLM and Adaptive Learning.	Qingsong Wen, Jing Liang, Carles Sierra, Rose Luckin, Richard Jiarui Tong, Zitao Liu, Peng Cui, Jiliang Tang
2023	AAAI	Covariate-Shift Generalization via Random Sample Weighting.	Yue He, Xinwei Shen, Renzhe Xu, Tong Zhang, Yong Jiang, Wenchao Zou, Peng Cui
2023	AAAI	Stable Learning via Sparse Variable Independence.	Han Yu, Peng Cui, Yue He, Zheyan Shen, Yong Lin, Renzhe Xu, Xingxuan Zhang
2023	ACL	Adaptive and Personalized Exercise Generation for Online Language Learning.	Peng Cui, Mrinmaya Sachan
2023	AIED	Automatic Educational Question Generation with Difficulty Level Controls.	Ying Jiao, Kumar Shridhar, Peng Cui, Wangchunshu Zhou, Mrinmaya Sachan
2023	APWEB	SEGCN: Structural Enhancement Graph Clustering Network.	Yuwen Chen, Xuefeng Yan, Peng Cui, Lina Gong
2023	CVPR	NICO++: Towards Better Benchmarking for Domain Generalization.	Xingxuan Zhang, Yue He, Renzhe Xu, Han Yu, Zheyan Shen, Peng Cui
2023	CVPR	Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization.	Xingxuan Zhang, Renzhe Xu, Han Yu, Hao Zou, Peng Cui
2023	DASFAA	A Scalable Social Recommendation Framework with Decoupled Graph Neural Network.	Ke Tu, Zhengwei Wu, Binbin Hu, Zhiqiang Zhang, Peng Cui, Xiaolong Li, Jun Zhou
2023	ICCV	Flatness-Aware Minimization for Domain Generalization.	Xingxuan Zhang, Renzhe Xu, Han Yu, Yancheng Dong, Pengfei Tian, Peng Cui
2023	ICDE	Intention-aware Sequential Recommendation with Structured Intent Transition : (Extended Abstract).	Haoyang Li, Xin Wang, Ziwei Zhang, Jianxin Ma, Peng Cui, Wenwu Zhu
2023	ICLR	Measure the Predictive Heterogeneity.	Jiashuo Liu, Jiayun Wu, Renjie Pi, Renzhe Xu, Xingxuan Zhang, Bo Li, Peng Cui
2023	ICML	Propensity Matters: Measuring and Enhancing Balancing for Recommendation.	Haoxuan Li, Yanghao Xiao, Chunyuan Zheng, Peng Wu, Peng Cui
2023	ICML	Provably Invariant Learning without Domain Information.	Xiaoyu Tan, Lin Yong, Shengyu Zhu, Chao Qu, Xihe Qiu, Yinghui Xu, Peng Cui, Yuan Qi
2023	ICML	Competing for Shareable Arms in Multi-Player Multi-Armed Bandits.	Renzhe Xu, Haotian Wang, Xingxuan Zhang, Bo Li, Peng Cui
2023	ICONIP	Aspect-Based Sentiment Analysis Using Dual Probability Graph Convolutional Networks (DP-GCN) Integrating Multi-scale Information.	Yunhui Pan, Dongyao Li, Zhouhao Dai, Peng Cui
2023	KDD	Who Should Be Given Incentives? Counterfactual Optimal Treatment Regimes Learning for Recommendation.	Haoxuan Li, Chunyuan Zheng, Peng Wu, Kun Kuang, Yue Liu, Peng Cui
2023	KDD	Graph Neural Networks: Foundation, Frontiers and Applications.	Lingfei Wu, Peng Cui, Jian Pei, Liang Zhao, Xiaojie Guo
2023	KDD	A Data-Driven Decision Support Framework for Player Churn Analysis in Online Games.	Yu Xiong, Runze Wu, Shiwei Zhao, Jianrong Tao, Xudong Shen, Tangjie Lyu, Changjie Fan, Peng Cui
2023	WWW	Tutorials at The Web Conference 2023.	Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espn-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 Kk-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	WWW	Offline Policy Evaluation in Large Action Spaces via Outcome-Oriented Action Grouping.	Jie Peng, Hao Zou, Jiashuo Liu, Shaoming Li, Yibao Jiang, Jian Pei, Peng Cui
2022	CVPR	Towards Unsupervised Domain Generalization.	Xingxuan Zhang, Linjun Zhou, Renzhe Xu, Peng Cui, Zheyan Shen, Haoxin Liu
2022	CVPR	Adversarial Eigen Attack on BlackBox Models.	Linjun Zhou, Peng Cui, Xingxuan Zhang, Yinan Jiang, Shiqiang Yang
2022	ECCV	NICO Challenge: Out-of-Distribution Generalization for Image Recognition Challenges.	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	ICML	A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization.	Renzhe Xu, Xingxuan Zhang, Zheyan Shen, Tong Zhang, Peng Cui
2022	ICML	Model Agnostic Sample Reweighting for Out-of-Distribution Learning.	Xiao Zhou, Yong Lin, Renjie Pi, Weizhong Zhang, Renzhe Xu, Peng Cui, Tong Zhang
2022	ICML	Counterfactual Prediction for Outcome-Oriented Treatments.	Hao Zou, Bo Li, Jiangang Han, Shuiping Chen, Xuetao Ding, Peng Cui
2022	ICPR	End-to-end 3D Human Pose Estimation with Transformer.	Bowei Zhang, Peng Cui
2022	KDD	Uncovering the Heterogeneous Effects of Preference Diversity on User Activeness: A Dynamic Mixture Model.	Yunfei Lu, Peng Cui, Linyun Yu, Lei Li, Wenwu Zhu
2022	KDD	Invariant Preference Learning for General Debiasing in Recommendation.	Zimu Wang, Yue He, Jiashuo Liu, Wenchao Zou, Philip S. Yu, Peng Cui
2022	KDD	A Graph Learning Based Framework for Billion-Scale Offline User Identification.	Daixin Wang, Zujian Weng, Zhengwei Wu, Zhiqiang Zhang, Peng Cui, Hongwei Zhao, Jun Zhou
2022	KDD	Graph Neural Networks: Foundation, Frontiers and Applications.	Lingfei Wu, Peng Cui, Jian Pei, Liang Zhao, Xiaojie Guo
2022	WWW	CausPref: Causal Preference Learning for Out-of-Distribution Recommendation.	Yue He, Zimu Wang, Peng Cui, Hao Zou, Yafeng Zhang, Qiang Cui, Yong Jiang
2022	WWW	Regulatory Instruments for Fair Personalized Pricing.	Renzhe Xu, Xingxuan Zhang, Peng Cui, Bo Li, Zheyan Shen, Jiazheng Xu
2021	AAAI	Stable Adversarial Learning under Distributional Shifts.	Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li, Yishi Lin
2021	AAAI	Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation.	Kai Wang, Zhene Zou, Qilin Deng, Jianrong Tao, Runze Wu, Changjie Fan, Liang Chen, Peng Cui
2021	CIKM	Conditional Graph Attention Networks for Distilling and Refining Knowledge Graphs in Recommendation.	Ke Tu, Peng Cui, Daixin Wang, Zhiqiang Zhang, Jun Zhou, Yuan Qi, Wenwu Zhu
2021	CVPR	Deep Stable Learning for Out-of-Distribution Generalization.	Xingxuan Zhang, Peng Cui, Renzhe Xu, Linjun Zhou, Yue He, Zheyan Shen
2021	EMNLP	Topic-Guided Abstractive Multi-Document Summarization.	Peng Cui, Le Hu
2021	ICDM	GQNAS: Graph Q Network for Neural Architecture Search.	Yijian Qin, Xin Wang, Peng Cui, Wenwu Zhu
2021	ICML	Heterogeneous Risk Minimization.	Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen
2021	KDD	Globally Optimized Matchmaking in Online Games.	Qilin Deng, Hao Li, Kai Wang, Zhipeng Hu, Runze Wu, Linxia Gong, Jianrong Tao, Changjie Fan, Peng Cui
2021	KDD	DARING: Differentiable Causal Discovery with Residual Independence.	Yue He, Peng Cui, Zheyan Shen, Renzhe Xu, Furui Liu, Yong Jiang
2021	KDD	Purify and Generate: Learning Faithful Item-to-Item Graph from Noisy User-Item Interaction Behaviors.	Yue He, Yancheng Dong, Peng Cui, Yuhang Jiao, Xiaowei Wang, Ji Liu, Philip S. Yu
2021	KDD	Signed Graph Neural Network with Latent Groups.	Haoxin Liu, Ziwei Zhang, Peng Cui, Yafeng Zhang, Qiang Cui, Jiashuo Liu, Wenwu Zhu
2021	NAACL	Sliding Selector Network with Dynamic Memory for Extractive Summarization of Long Documents.	Peng Cui, Le Hu
2021	WWW	On the Equivalence of Decoupled Graph Convolution Network and Label Propagation.	Hande Dong, Jiawei Chen, Fuli Feng, Xiangnan He, Shuxian Bi, Zhaolin Ding, Peng Cui
2021	WWW	Interpreting and Unifying Graph Neural Networks with An Optimization Framework.	Meiqi Zhu, Xiao Wang, Chuan Shi, Houye Ji, Peng Cui
2021	SDM	Temporal-Aware Graph Neural Network for Credit Risk Prediction.	Daixin Wang, Zhiqiang Zhang, Jun Zhou, Peng Cui, Jingli Fang, Quanhui Jia, Yanming Fang, Yuan Qi
2020	AAAI	A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models.	Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Wenwu Zhu, Junzhou Huang
2020	AAAI	Stable Prediction with Model Misspecification and Agnostic Distribution Shift.	Kun Kuang, Ruoxuan Xiong, Peng Cui, Susan Athey, Bo Li
2020	AAAI	Rule-Guided Compositional Representation Learning on Knowledge Graphs.	Guanglin Niu, Yongfei Zhang, Bo Li, Peng Cui, Si Liu, Jingyang Li, Xiaowei Zhang
2020	AAAI	Stable Learning via Sample Reweighting.	Zheyan Shen, Peng Cui, Tong Zhang, Kun Kuang
2020	CIKM	Graph Neural Network for Tag Ranking in Tag-enhanced Video Recommendation.	Qi Liu, Ruobing Xie, Lei Chen, Shukai Liu, Ke Tu, Peng Cui, Bo Zhang, Leyu Lin
2020	CIKM	Match Tracing: A Unified Framework for Real-time Win Prediction and Quantifiable Performance Evaluation.	Kai Wang, Hao Li, Linxia Gong, Jianrong Tao, Runze Wu, Changjie Fan, Liang Chen, Peng Cui
2020	COLING	Enhancing Extractive Text Summarization with Topic-Aware Graph Neural Networks.	Peng Cui, Le Hu, Yuanchao Liu
2020	CVPR	Learning to Select Base Classes for Few-Shot Classification.	Linjun Zhou, Peng Cui, Xu Jia, Shiqiang Yang, Qi Tian
2020	KDD	AM-GCN: Adaptive Multi-channel Graph Convolutional Networks.	Xiao Wang, Meiqi Zhu, Deyu Bo, Peng Cui, Chuan Shi, Jian Pei
2020	KDD	Causal Inference Meets Machine Learning.	Peng Cui, Zheyan Shen, Sheng Li, Liuyi Yao, Yaliang Li, Zhixuan Chu, Jing Gao
2020	KDD	OptMatch: Optimized Matchmaking via Modeling the High-Order Interactions on the Arena.	Linxia Gong, Xiaochuan Feng, Dezhi Ye, Hao Li, Runze Wu, Jianrong Tao, Changjie Fan, Peng Cui
2020	KDD	Learning Stable Graphs from Multiple Environments with Selection Bias.	Yue He, Peng Cui, Jianxin Ma, Hao Zou, Xiaowei Wang, Hongxia Yang, Philip S. Yu
2020	KDD	Preface: The 2020 ACM SIGKDD Workshop on Causal Discovery.	Thuc Duy Le, Lin Liu, Kun Zhang, Emre Kiciman, Peng Cui, Aapo Hyvrinen
2020	KDD	Continuous Treatment Effect Estimation via Generative Adversarial De-confounding.	Yunzhe Li, Kun Kuang, Bo Li, Peng Cui, Jianrong Tao, Hongxia Yang, Fei Wu
2020	KDD	Disentangled Self-Supervision in Sequential Recommenders.	Jianxin Ma, Chang Zhou, Hongxia Yang, Peng Cui, Xin Wang, Wenwu Zhu
2020	KDD	Stable Learning via Differentiated Variable Decorrelation.	Zheyan Shen, Peng Cui, Jiashuo Liu, Tong Zhang, Bo Li, Zhitang Chen
2020	KDD	Recent Advances on Graph Analytics and Its Applications in Healthcare.	Fei Wang, Peng Cui, Jian Pei, Yangqiu Song, Chengxi Zang
2020	KDD	Algorithmic Decision Making with Conditional Fairness.	Renzhe Xu, Peng Cui, Kun Kuang, Bo Li, Linjun Zhou, Zheyan Shen, Wei Cui
2020	WWW	Structural Deep Clustering Network.	Deyu Bo, Xiao Wang, Chuan Shi, Meiqi Zhu, Emiao Lu, Peng Cui
2019	AAAI	Incorporating Network Embedding into Markov Random Field for Better Community Detection.	Di Jin, Xinxin You, Weihao Li, Dongxiao He, Peng Cui, Franoise Fogelman-Souli, Tanmoy Chakraborty
2019	CVPR	Learning to Learn Image Classifiers With Visual Analogy.	Linjun Zhou, Peng Cui, Shiqiang Yang, Wenwu Zhu, Qi Tian
2019	ICDE	Context-Aware Attention-Based Data Augmentation for POI Recommendation.	Yang Li, Yadan Luo, Zheng Zhang, Shazia Sadiq, Peng Cui
2019	ICDE	Collaborative Generative Adversarial Network for Recommendation Systems.	Yuzhen Tong, Yadan Luo, Zheng Zhang, Shazia Sadiq, Peng Cui
2019	ICDM	A Semi-Supervised Graph Attentive Network for Financial Fraud Detection.	Daixin Wang, Yuan Qi, Jianbin Lin, Peng Cui, Quanhui Jia, Zhen Wang, Yanming Fang, Quan Yu, Jun Zhou, Shuang Yang
2019	ICML	Disentangled Graph Convolutional Networks.	Jianxin Ma, Peng Cui, Kun Kuang, Xin Wang, Wenwu Zhu
2019	IJCAI	Disparity-preserved Deep Cross-platform Association for Cross-platform Video Recommendation.	Shengze Yu, Xin Wang, Wenwu Zhu, Peng Cui, Jingdong Wang
2019	KDD	Learning From Networks: Algorithms, Theory, and Applications.	Xiao Huang, Peng Cui, Yuxiao Dong, Jundong Li, Huan Liu, Jian Pei, Le Song, Jie Tang, Fei Wang, Hongxia Yang, Wenwu Zhu
2019	KDD	Preface: The 2019 ACM SIGKDD Workshop on Causal Discovery.	Thuc Duy Le, Jiuyong Li, Kun Zhang, Emre Kiciman, Peng Cui, Aapo Hyvrinen
2019	KDD	Fates of Microscopic Social Ecosystems: Keep Alive or Dead?	Haoyang Li, Peng Cui, Chengxi Zang, Tianyang Zhang, Wenwu Zhu, Yishi Lin
2019	KDD	Uncovering the Co-driven Mechanism of Social and Content Links in User Churn Phenomena.	Yunfei Lu, Linyun Yu, Peng Cui, Chengxi Zang, Renzhe Xu, Yihao Liu, Lei Li, Wenwu Zhu
2019	KDD	MVAN: Multi-view Attention Networks for Real Money Trading Detection in Online Games.	Jianrong Tao, Jianshi Lin, Shize Zhang, Sha Zhao, Runze Wu, Changjie Fan, Peng Cui
2019	KDD	AutoNE: Hyperparameter Optimization for Massive Network Embedding.	Ke Tu, Jianxin Ma, Peng Cui, Jian Pei, Wenwu Zhu
2019	KDD	Uncovering Pattern Formation of Information Flow.	Chengxi Zang, Peng Cui, Chaoming Song, Wenwu Zhu, Fei Wang
2019	KDD	Dynamical Origins of Distribution Functions.	Chengxi Zang, Peng Cui, Wenwu Zhu, Fei Wang
2019	KDD	Robust Graph Convolutional Networks Against Adversarial Attacks.	Dingyuan Zhu, Ziwei Zhang, Peng Cui, Wenwu Zhu
2019	KDD	Focused Context Balancing for Robust Offline Policy Evaluation.	Hao Zou, Kun Kuang, Boqi Chen, Peixuan Chen, Peng Cui
2019	WWW	Heterogeneous Graph Attention Network.	Xiao Wang, Houye Ji, Chuan Shi, Bai Wang, Yanfang Ye, Peng Cui, Philip S. Yu
2018	AAAI	DepthLGP: Learning Embeddings of Out-of-Sample Nodes in Dynamic Networks.	Jianxin Ma, Peng Cui, Wenwu Zhu
2018	AAAI	Structural Deep Embedding for Hyper-Networks.	Ke Tu, Peng Cui, Xiao Wang, Fei Wang, Wenwu Zhu
2018	AAAI	Deep Asymmetric Transfer Network for Unbalanced Domain Adaptation.	Daixin Wang, Peng Cui, Wenwu Zhu
2018	AAAI	TIMERS: Error-Bounded SVD Restart on Dynamic Networks.	Ziwei Zhang, Peng Cui, Jian Pei, Xiao Wang, Wenwu Zhu
2018	ICDM	Collective Human Behavior in Cascading System: Discovery, Modeling and Applications.	Yunfei Lu, Linyun Yu, Tianyang Zhang, Chengxi Zang, Peng Cui, Chaoming Song, Wenwu Zhu
2018	ICDM	Billion-Scale Network Embedding with Iterative Random Projection.	Ziwei Zhang, Peng Cui, Haoyang Li, Xiao Wang, Wenwu Zhu
2018	IJCAI	Power-law Distribution Aware Trust Prediction.	Xiao Wang, Ziwei Zhang, Jing Wang, Peng Cui, Shiqiang Yang
2018	KDD	Scalable Optimization for Embedding Highly-Dynamic and Recency-Sensitive Data.	Xumin Chen, Peng Cui, Lingling Yi, Shiqiang Yang
2018	KDD	Stable Prediction across Unknown Environments.	Kun Kuang, Peng Cui, Susan Athey, Ruoxuan Xiong, Bo Li
2018	KDD	Hierarchical Taxonomy Aware Network Embedding.	Jianxin Ma, Peng Cui, Xiao Wang, Wenwu Zhu
2018	KDD	Deep Recursive Network Embedding with Regular Equivalence.	Ke Tu, Peng Cui, Xiao Wang, Philip S. Yu, Wenwu Zhu
2018	KDD	Learning and Interpreting Complex Distributions in Empirical Data.	Chengxi Zang, Peng Cui, Wenwu Zhu
2018	KDD	Arbitrary-Order Proximity Preserved Network Embedding.	Ziwei Zhang, Peng Cui, Xiao Wang, Jian Pei, Xuanrong Yao, Wenwu Zhu
2018	KDD	Deep Variational Network Embedding in Wasserstein Space.	Dingyuan Zhu, Peng Cui, Daixin Wang, Wenwu Zhu
2017	AAAI	Treatment Effect Estimation with Data-Driven Variable Decomposition.	Kun Kuang, Peng Cui, Bo Li, Meng Jiang, Shiqiang Yang, Fei Wang
2017	AAAI	Community Preserving Network Embedding.	Xiao Wang, Peng Cui, Jing Wang, Jian Pei, Wenwu Zhu, Shiqiang Yang
2017	KDD	Estimating Treatment Effect in the Wild via Differentiated Confounder Balancing.	Kun Kuang, Peng Cui, Bo Li, Meng Jiang, Shiqiang Yang
2017	KDD	A Temporally Heterogeneous Survival Framework with Application to Social Behavior Dynamics.	Linyun Yu, Peng Cui, Chaoming Song, Tianyang Zhang, Shiqiang Yang
2017	KDD	Long Short Memory Process: Modeling Growth Dynamics of Microscopic Social Connectivity.	Chengxi Zang, Peng Cui, Christos Faloutsos, Wenwu Zhu
2017	WWW	Quantifying Structural Patterns of Information Cascades.	Chengxi Zang, Peng Cui, Chaoming Song, Christos Faloutsos, Wenwu Zhu
2016	AAAI	Little Is Much: Bridging Cross-Platform Behaviors through Overlapped Crowds.	Meng Jiang, Peng Cui, Nicholas Jing Yuan, Xing Xie, Shiqiang Yang
2016	ICDM	Steering Social Media Promotions with Effective Strategies.	Kun Kuang, Meng Jiang, Peng Cui, Shiqiang Yang
2016	KDD	Asymmetric Transitivity Preserving Graph Embedding.	Mingdong Ou, Peng Cui, Jian Pei, Ziwei Zhang, Wenwu Zhu
2016	KDD	Structural Deep Network Embedding.	Daixin Wang, Peng Cui, Wenwu Zhu
2016	KDD	Beyond Sigmoids: The NetTide Model for Social Network Growth, and Its Applications.	Chengxi Zang, Peng Cui, Christos Faloutsos
2016	KDD	Come-and-Go Patterns of Group Evolution: A Dynamic Model.	Tianyang Zhang, Peng Cui, Christos Faloutsos, Yunfei Lu, Hao Ye, Wenwu Zhu, Shiqiang Yang
2015	AAAI	Perceiving Group Themes from Collective Social and Behavioral Information.	Peng Cui, Tianyang Zhang, Fei Wang, Peng He
2015	AAAI	Probabilistic Attributed Hashing.	Mingdong Ou, Peng Cui, Jun Wang, Fei Wang, Wenwu Zhu
2015	ICDM	A General Suspiciousness Metric for Dense Blocks in Multimodal Data.	Meng Jiang, Alex Beutel, Peng Cui, Bryan Hooi, Shiqiang Yang, Christos Faloutsos
2015	ICDM	From Micro to Macro: Uncovering and Predicting Information Cascading Process with Behavioral Dynamics.	Linyun Yu, Peng Cui, Fei Wang, Chaoming Song, Shiqiang Yang
2015	IJCAI	Deep Multimodal Hashing with Orthogonal Regularization.	Daixin Wang, Peng Cui, Mingdong Ou, Wenwu Zhu
2015	KDD	Non-transitive Hashing with Latent Similarity Components.	Mingdong Ou, Peng Cui, Fei Wang, Jun Wang, Wenwu Zhu
2014	APWEB	Discovering Urban Spatio-temporal Structure from Time-Evolving Traffic Networks.	Jingyuan Wang, Fei Gao, Peng Cui, Chao Li, Zhang Xiong
2014	KDD	CatchSync: catching synchronized behavior in large directed graphs.	Meng Jiang, Peng Cui, Alex Beutel, Christos Faloutsos, Shiqiang Yang
2014	KDD	FEMA: flexible evolutionary multi-faceted analysis for dynamic behavioral pattern discovery.	Meng Jiang, Peng Cui, Fei Wang, Xinran Xu, Wenwu Zhu, Shiqiang Yang
2014	PAKDD	Inferring Strange Behavior from Connectivity Pattern in Social Networks.	Meng Jiang, Peng Cui, Alex Beutel, Christos Faloutsos, Shiqiang Yang
2014	WWW	Detecting suspicious following behavior in multimillion-node social networks.	Meng Jiang, Peng Cui, Alex Beutel, Christos Faloutsos, Shiqiang Yang
2014	WSDM	1st workshop on diffusion networks and cascade analytics.	Peng Cui, Fei Wang, Hanghang Tong, Manuel Gomez-Rodriguez
2013	HCI	EventLens: An Automatic Magazine Generating System for Social Media.	Hao Chen, Han Tang, Zhiyu Wang, Peng Cui, Yingquing Xu, Shiqiang Yang
2013	KDD	Cascading outbreak prediction in networks: a data-driven approach.	Peng Cui, Shifei Jin, Linyun Yu, Fei Wang, Wenwu Zhu, Shiqiang Yang
2013	KDD	Comparing apples to oranges: a scalable solution with heterogeneous hashing.	Mingdong Ou, Peng Cui, Fei Wang, Jun Wang, Wenwu Zhu, Shiqiang Yang
2013	MMM	Social Visual Image Ranking for Web Image Search.	Shaowei Liu, Peng Cui, Huan-Bo Luan, Wenwu Zhu, Shiqiang Yang, Qi Tian
2013	SIGIR	Multimedia recommendation: technology and techniques.	Jialie Shen, Meng Wang, Shuicheng Yan, Peng Cui
2012	CIKM	Social contextual recommendation.	Meng Jiang, Peng Cui, Rui Liu, Qiang Yang, Fei Wang, Wenwu Zhu, Shiqiang Yang
2012	CIKM	Social recommendation across multiple relational domains.	Meng Jiang, Peng Cui, Fei Wang, Qiang Yang, Wenwu Zhu, Shiqiang Yang
2012	ICARCV	Stability analysis of a distributed state estimator for linear systems.	Peng Cui, Minyue Fu
2011	AAAI	Item-Level Social Influence Prediction with Probabilistic Hybrid Factor Matrix Factorization.	Peng Cui, Fei Wang, Shiqiang Yang, Lifeng Sun
2011	COCOA	On Unique Games with Negative Weights.	Peng Cui, Tian Liu, Ke Xu
2011	COCOA	A Note on Treewidth in Random Graphs.	Chaoyi Wang, Tian Liu, Peng Cui, Ke Xu
2011	SIGIR	Who should share what?: item-level social influence prediction for users and posts ranking.	Peng Cui, Fei Wang, Shaowei Liu, Mingdong Ou, Shiqiang Yang, Lifeng Sun
2010	DASFAA	Birds Bring Flues? Mining Frequent and High Weighted Cliques from Birds Migration Networks.	MingJie Tang, Weihang Wang, Yexi Jiang, Yuanchun Zhou, Jinyan Li, Peng Cui, Ying Liu, Baoping Yan
2010	ICIP	HFAG: Hierarchical Frame Affinity Group for video retrieval on very large video dataset.	Yin-Jun Miao, Chao Wang, Peng Cui, Lifeng Sun, Pin Tao, Shiqiang Yang
2010	ICPR	Adding Affine Invariant Geometric Constraint for Partial-Duplicate Image Retrieval.	Zhipeng Wu, Qianqian Xu, Shuqiang Jiang, Qingming Huang, Peng Cui, Liang Li
2009	ADMA	Discovery of Migration Habitats and Routes of Wild Bird Species by Clustering and Association Analysis.	MingJie Tang, Yuanchun Zhou, Peng Cui, Weihang Wang, Jinyan Li, Haiting Zhang, YuanSheng Hou, Baoping Yan
2009	ISCAS	A Cascade SVM Approach for Head-shoulder Detection using Histograms of Oriented Gradients.	Xi-Feng Ding, Hui Xu, Peng Cui, Lifeng Sun, Shiqiang Yang
2009	IGARSS	Characteristics and Risk Analysis of Qinglin Debris Flow induced by "5.12" Wenchuan Earthquake in Beichuan County, Sichuan, China.	Xingzhang Chen, Yong You, Peng Cui, Jinfeng Liu
2008	ICDM	A Joint Matrix Factorization Approach to Unsupervised Action Categorization.	Peng Cui, Fei Wang, Lifeng Sun, Shi-Qiang Yang
2007	CVPR	A Sequential Monte Carlo Approach to Anomaly Detection in Tracking Visual Events.	Peng Cui, Lifeng Sun, Zhi-Qiang Liu, Shiqiang Yang