Peng Cui

According to our database, Peng Cui authored at least 259 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Inductive Meta-Path Learning for Schema-Complex Heterogeneous Information Networks.

Shixuan Liu, Changjun Fan, Kewei Cheng, Yunfei Wang, Peng Cui, Yizhou Sun, Zhong Liu

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

GRASS: Learning Spatial-Temporal Properties From Chainlike Cascade Data for Microscopic Diffusion Prediction.

Huacheng Li, Chunhe Xia, Tianbo Wang, Zhao Wang, Peng Cui, Xiaojian Li

IEEE Trans. Neural Networks Learn. Syst., November, 2024

Emergence and Causality in Complex Systems: A Survey of Causal Emergence and Related Quantitative Studies.

Bing Yuan, Jiang Zhang, Aobo Lyu, Jiayun Wu, Zhipeng Wang, Mingzhe Yang, Kaiwei Liu, Muyun Mou, Peng Cui

Entropy, February, 2024

Generalizing Graph Neural Networks on Out-of-Distribution Graphs.

Shaohua Fan, Xiao Wang, Chuan Shi, Peng Cui, Bai Wang

IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift.

Jiayun Wu, Jiashuo Liu, Peng Cui, Zhiwei Steven Wu

CoRR, 2024

Stability Evaluation via Distributional Perturbation Analysis.

Jose H. Blanchet, Peng Cui, Jiajin Li, Jiashuo Liu

CoRR, 2024

PPA-Game: Characterizing and Learning Competitive Dynamics Among Online Content Creators.

Renzhe Xu, Haotian Wang, Xingxuan Zhang, Bo Li, Peng Cui

CoRR, 2024

A Survey on Evaluation of Out-of-Distribution Generalization.

Han Yu, Jiashuo Liu, Xingxuan Zhang, Jiayun Wu, Peng Cui

CoRR, 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

CoRR, 2024

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

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Your Neighbor Matters: Towards Fair Decisions Under Networked Interference.

Wenjing Yang, Haotian Wang, Haoxuan Li, Hao Zou, Ruochun Jin, Kun Kuang, Peng Cui

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Model-Agnostic Random Weighting for Out-of-Distribution Generalization.

Yue He, Pengfei Tian, Renzhe Xu, Xinwei Shen, Xingxuan Zhang, Peng Cui

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications.

Jiashuo Liu, Jiayun Wu, Tianyu Wang, Hao Zou, Bo Li, Peng Cui

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Stability Evaluation through Distributional Perturbation Analysis.

José H. Blanchet, Peng Cui, Jiajin Li, Jiashuo Liu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Domain-wise Data Acquisition to Improve Performance under Distribution Shift.

Yue He, Dongbai Li, Pengfei Tian, Han Yu, Jiashuo Liu, Hao Zou, Peng Cui

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Debiased Collaborative Filtering with Kernel-Based Causal Balancing.

Haoxuan Li, Chunyuan Zheng, Yanghao Xiao, Peng Wu, Zhi Geng, Xu Chen, Peng Cui

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Rethinking the Evaluation Protocol of Domain Generalization.

Han Yu, Xingxuan Zhang, Renzhe Xu, Jiashuo Liu, Yue He, Peng Cui

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Enhancing Distributional Stability among Sub-populations.

Jiashuo Liu, Jiayun Wu, Jie Peng, Xiaoyu Wu, Yang Zheng, Bo Li, Peng Cui

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Guest Editorial Introduction to the Special Issue on Anomaly Detection in Emerging Data-Driven Applications: Theory, Algorithms, and Applications.

Jianxin Li, Lifang He, Hao Peng, Peng Cui, Charu C. Aggarwal, Philip S. Yu

IEEE Trans. Knowl. Data Eng., December, 2023

Distributionally Robust Learning With Stable Adversarial Training.

Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li

IEEE Trans. Knowl. Data Eng., November, 2023

Causal Disentanglement for Semantic-Aware Intent Learning in Recommendation.

Xiangmeng Wang, Qian Li, Dianer Yu, Peng Cui, Zhichao Wang, Guandong Xu

IEEE Trans. Knowl. Data Eng., October, 2023

Group-based social diffusion in recommendation.

Xumin Chen, Ruobing Xie, Zhijie Qiu, Peng Cui, Ziwei Zhang, Shukai Liu, Shiqiang Yang, Bo Zhang, Leyu Lin

World Wide Web (WWW), July, 2023

Permutation-Equivariant and Proximity-Aware Graph Neural Networks With Stochastic Message Passing.

Ziwei Zhang, Chenhao Niu, Peng Cui, Jian Pei, Bo Zhang, Wenwu Zhu

IEEE Trans. Knowl. Data Eng., June, 2023

Stable Prediction With Leveraging Seed Variable.

Kun Kuang, Haotian Wang, Yue Liu, Ruoxuan Xiong, Runze Wu, Weiming Lu, Yueting Zhuang, Fei Wu, Peng Cui, Bo Li

IEEE Trans. Knowl. Data Eng., June, 2023

Adversarial Attack Framework on Graph Embedding Models With Limited Knowledge.

Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Xin Wang, Wenwu Zhu, Junzhou Huang

IEEE Trans. Knowl. Data Eng., May, 2023

Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs.

Ziwei Zhang, Peng Cui, Jian Pei, Xin Wang, Wenwu Zhu

IEEE Trans. Knowl. Data Eng., March, 2023

Differentiated matching for individual and average treatment effect estimation.

Ziyu Zhao, Kun Kuang, Bo Li, Peng Cui, Runze Wu, Jun Xiao, Fei Wu

Data Min. Knowl. Discov., 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

CoRR, 2023

Meta Adaptive Task Sampling for Few-Domain Generalization.

Zheyan Shen, Han Yu, Peng Cui, Jiashuo Liu, Xingxuan Zhang, Linjun Zhou, Furui Liu

CoRR, 2023

Exploring and Exploiting Data Heterogeneity in Recommendation.

Zimu Wang, Jiashuo Liu, Hao Zou, Xingxuan Zhang, Yue He, Dongxu Liang, Peng Cui

CoRR, 2023

Predictive Heterogeneity: Measures and Applications.

Jiashuo Liu, Jiayun Wu, Bo Li, Peng Cui

CoRR, 2023

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

Proceedings of the ACM Web Conference 2023, 2023

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 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 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

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

On the Need for a Language Describing Distribution Shifts: Illustrations on Tabular Datasets.

Jiashuo Liu, Tianyu Wang, Peng Cui, Hongseok Namkoong

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Preface: The 2023 ACM SIGKDD Workshop on Causal Discovery, Prediction and Decision.

Thuc Duy Le, Jiuyong Li, Robert Ness, Sofia Triantafillou, Shohei Shimizu, Peng Cui, Kun Kuang, Jian Pei, Fei Wang, Mattia Prosperi

Proceedings of the KDD'23 Workshop on Causal Discovery, 2023

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

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Graph Neural Networks: Foundation, Frontiers and Applications.

Lingfei Wu, Peng Cui, Jian Pei, Liang Zhao, Xiaojie Guo

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Who Should Be Given Incentives? Counterfactual Optimal Treatment Regimes Learning for Recommendation.

Haoxuan Li, Chunyuan Zheng, Peng Wu, Kun Kuang, Yue Liu, Peng Cui

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Competing for Shareable Arms in Multi-Player Multi-Armed Bandits.

Renzhe Xu, Haotian Wang, Xingxuan Zhang, Bo Li, Peng Cui

Proceedings of the International Conference on Machine Learning, 2023

Provably Invariant Learning without Domain Information.

Xiaoyu Tan, Lin Yong, Shengyu Zhu, Chao Qu, Xihe Qiu, Yinghui Xu, Peng Cui, Yuan Qi

Proceedings of the International Conference on Machine Learning, 2023

Propensity Matters: Measuring and Enhancing Balancing for Recommendation.

Haoxuan Li, Yanghao Xiao, Chunyuan Zheng, Peng Wu, Peng Cui

Proceedings of the International Conference on Machine Learning, 2023

Measure the Predictive Heterogeneity.

Jiashuo Liu, Jiayun Wu, Renjie Pi, Renzhe Xu, Xingxuan Zhang, Bo Li, Peng Cui

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Intention-aware Sequential Recommendation with Structured Intent Transition : (Extended Abstract).

Haoyang Li, Xin Wang, Ziwei Zhang, Jianxin Ma, Peng Cui, Wenwu Zhu

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Flatness-Aware Minimization for Domain Generalization.

Xingxuan Zhang, Renzhe Xu, Han Yu, Yancheng Dong, Pengfei Tian, Peng Cui

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A Scalable Social Recommendation Framework with Decoupled Graph Neural Network.

Ke Tu, Zhengwei Wu, Binbin Hu, Zhiqiang Zhang, Peng Cui, Xiaolong Li, Jun Zhou

Proceedings of the Database Systems for Advanced Applications, 2023

Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization.

Xingxuan Zhang, Renzhe Xu, Han Yu, Hao Zou, Peng Cui

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

NICO++: Towards Better Benchmarking for Domain Generalization.

Xingxuan Zhang, Yue He, Renzhe Xu, Han Yu, Zheyan Shen, Peng Cui

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Factual Observation Based Heterogeneity Learning for Counterfactual Prediction.

Hao Zou, Haotian Wang, Renzhe Xu, Bo Li, Jian Pei, Ye Jun Jian, Peng Cui

Proceedings of the Conference on Causal Learning and Reasoning, 2023

Stable Learning via Sparse Variable Independence.

Han Yu, Peng Cui, Yue He, Zheyan Shen, Yong Lin, Renzhe Xu, Xingxuan Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Covariate-Shift Generalization via Random Sample Weighting.

Yue He, Xinwei Shen, Renzhe Xu, Tong Zhang, Yong Jiang, Wenchao Zou, Peng Cui

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Bilateral Filtering Graph Convolutional Network for Multi-relational Social Recommendation in the Power-law Networks.

Minghao Zhao, Qilin Deng, Kai Wang, Runze Wu, Jianrong Tao, Changjie Fan, Liang Chen, Peng Cui

ACM Trans. Inf. Syst., 2022

Deep Learning on Graphs: A Survey.

Ziwei Zhang, Peng Cui, Wenwu Zhu

IEEE Trans. Knowl. Data Eng., 2022

Dynamic Heterogeneous Information Network Embedding With Meta-Path Based Proximity.

Xiao Wang, Yuanfu Lu, Chuan Shi, Ruijia Wang, Peng Cui, Shuai Mou

IEEE Trans. Knowl. Data Eng., 2022

Intention-Aware Sequential Recommendation With Structured Intent Transition.

Haoyang Li, Xin Wang, Ziwei Zhang, Jianxin Ma, Peng Cui, Wenwu Zhu

IEEE Trans. Knowl. Data Eng., 2022

Data-Driven Variable Decomposition for Treatment Effect Estimation.

Kun Kuang, Peng Cui, Hao Zou, Bo Li, Jianrong Tao, Fei Wu, Shiqiang Yang

IEEE Trans. Knowl. Data Eng., 2022

Improving Accuracy and Diversity in Matching of Recommendation With Diversified Preference Network.

Ruobing Xie, Qi Liu, Shukai Liu, Ziwei Zhang, Peng Cui, Bo Zhang, Leyu Lin

IEEE Trans. Big Data, 2022

Stable learning establishes some common ground between causal inference and machine learning.

Peng Cui, Susan Athey

Nat. Mach. Intell., 2022

Distilling Causal Metaknowledge from Knowledge Graphs.

Yuan Meng, Yancheng Dong, Shixuan Liu, Chaohao Yuan, Yue He, Jian Pei, Peng Cui

IEEE Data Eng. Bull., 2022

Distributionally Invariant Learning: Rationalization and Practical Algorithms.

Jiashuo Liu, Jiayun Wu, Jie Peng, Zheyan Shen, Bo Li, Peng Cui

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, 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

CoRR, 2022

Towards Domain Generalization in Object Detection.

Xingxuan Zhang, Zekai Xu, Renzhe Xu, Jiashuo Liu, Peng Cui, Weitao Wan, Chong Sun, Chen Li

CoRR, 2022

ZIN: When and How to Learn Invariance by Environment Inference?

Yong Lin, Shengyu Zhu, Peng Cui

CoRR, 2022

Causal Disentanglement for Semantics-Aware Intent Learning in Recommendation.

Xiangmeng Wang, Qian Li, Dianer Yu, Peng Cui, Zhichao Wang, Guandong Xu

CoRR, 2022

Regulatory Instruments for Fair Personalized Pricing.

Renzhe Xu, Xingxuan Zhang, Peng Cui, Bo Li, Zheyan Shen, Jiazheng Xu

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

CausPref: Causal Preference Learning for Out-of-Distribution Recommendation.

Yue He, Zimu Wang, Peng Cui, Hao Zou, Yafeng Zhang, Qiang Cui, Yong Jiang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Product Ranking for Revenue Maximization with Multiple Purchases.

Renzhe Xu, Xingxuan Zhang, Bo Li, Yafeng Zhang, Xiaolong Chen, Peng Cui

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Distributionally Robust Optimization with Data Geometry.

Jiashuo Liu, Jiayun Wu, Bo Li, Peng Cui

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ZIN: When and How to Learn Invariance Without Environment Partition?

Yong Lin, Shengyu Zhu, Lu Tan, Peng Cui

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Invariant Preference Learning for General Debiasing in Recommendation.

Zimu Wang, Yue He, Jiashuo Liu, Wenchao Zou, Philip S. Yu, Peng Cui

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Uncovering the Heterogeneous Effects of Preference Diversity on User Activeness: A Dynamic Mixture Model.

Yunfei Lu, Peng Cui, Linyun Yu, Lei Li, Wenwu Zhu

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Counterfactual Prediction for Outcome-Oriented Treatments.

Hao Zou, Bo Li, Jiangang Han, Shuiping Chen, Xuetao Ding, Peng Cui

Proceedings of the International Conference on Machine Learning, 2022

Model Agnostic Sample Reweighting for Out-of-Distribution Learning.

Xiao Zhou, Yong Lin, Renjie Pi, Weizhong Zhang, Renzhe Xu, Peng Cui, Tong Zhang

Proceedings of the International Conference on Machine Learning, 2022

A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization.

Renzhe Xu, Xingxuan Zhang, Zheyan Shen, Tong Zhang, Peng Cui

Proceedings of the International Conference on Machine Learning, 2022

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

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Adversarial Eigen Attack on BlackBox Models.

Linjun Zhou, Peng Cui, Xingxuan Zhang, Yinan Jiang, Shiqiang Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Towards Unsupervised Domain Generalization.

Xingxuan Zhang, Linjun Zhou, Renzhe Xu, Peng Cui, Zheyan Shen, Haoxin Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Collaborative Learning for Extremely Low Bit Asymmetric Hashing.

Yadan Luo, Zi Huang, Yang Li, Fumin Shen, Yang Yang, Peng Cui

IEEE Trans. Knowl. Data Eng., 2021

Towards Non-I.I.D. image classification: A dataset and baselines.

Yue He, Zheyan Shen, Peng Cui

Pattern Recognit., 2021

Continuous treatment effect estimation via generative adversarial de-confounding.

Kun Kuang, Yunzhe Li, Bo Li, Peng Cui, Hongxia Yang, Jianrong Tao, Fei Wu

Data Min. Knowl. Discov., 2021

Revisiting Transformation Invariant Geometric Deep Learning: Are Initial Representations All You Need?

Ziwei Zhang, Xin Wang, Zeyang Zhang, Peng Cui, Wenwu Zhu

CoRR, 2021

Why Stable Learning Works? A Theory of Covariate Shift Generalization.

Renzhe Xu, Peng Cui, Zheyan Shen, Xingxuan Zhang, Tong Zhang

CoRR, 2021

Conditional Attention Networks for Distilling Knowledge Graphs in Recommendation.

Ke Tu, Peng Cui, Daixin Wang, Zhiqiang Zhang, Jun Zhou, Yuan Qi, Wenwu Zhu

CoRR, 2021

Towards Out-Of-Distribution Generalization: A Survey.

Zheyan Shen, Jiashuo Liu, Yue He, Xingxuan Zhang, Renzhe Xu, Han Yu, Peng Cui

CoRR, 2021

Domain-Irrelevant Representation Learning for Unsupervised Domain Generalization.

Xingxuan Zhang, Linjun Zhou, Renzhe Xu, Peng Cui, Zheyan Shen, Haoxin Liu

CoRR, 2021

Interpreting and Unifying Graph Neural Networks with An Optimization Framework.

Meiqi Zhu, Xiao Wang, Chuan Shi, Houye Ji, Peng Cui

Proceedings of the WWW '21: The Web Conference 2021, 2021

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

Proceedings of the WWW '21: The Web Conference 2021, 2021

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

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Kernelized Heterogeneous Risk Minimization.

Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Out-of-distribution Generalization and Its Applications for Multimedia.

Xin Wang, Peng Cui, Wenwu Zhu

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Signed Graph Neural Network with Latent Groups.

Haoxin Liu, Ziwei Zhang, Peng Cui, Yafeng Zhang, Qiang Cui, Jiashuo Liu, Wenwu Zhu

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

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

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

DARING: Differentiable Causal Discovery with Residual Independence.

Yue He, Peng Cui, Zheyan Shen, Renzhe Xu, Furui Liu, Yong Jiang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Globally Optimized Matchmaking in Online Games.

Qilin Deng, Hao Li, Kai Wang, Zhipeng Hu, Runze Wu, Linxia Gong, Jianrong Tao, Changjie Fan, Peng Cui

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Heterogeneous Risk Minimization.

Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen

Proceedings of the 38th International Conference on Machine Learning, 2021

GQNAS: Graph Q Network for Neural Architecture Search.

Yijian Qin, Xin Wang, Peng Cui, Wenwu Zhu

Proceedings of the IEEE International Conference on Data Mining, 2021

Deep Stable Learning for Out-of-Distribution Generalization.

Xingxuan Zhang, Peng Cui, Renzhe Xu, Linjun Zhou, Yue He, Zheyan Shen

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

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

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Stable Adversarial Learning under Distributional Shifts.

Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li, Yishi Lin

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Treatment Effect Estimation via Differentiated Confounder Balancing and Regression.

Kun Kuang, Peng Cui, Bo Li, Meng Jiang, Yashen Wang, Fei Wu, Shiqiang Yang

ACM Trans. Knowl. Discov. Data, 2020

Exploring the collective human behavior in cascading systems: a comprehensive framework.

Yunfei Lu, Linyun Yu, Tianyang Zhang, Chengxi Zang, Peng Cui, Chaoming Song, Wenwu Zhu

Knowl. Inf. Syst., 2020

A Simple and General Graph Neural Network with Stochastic Message Passing.

Ziwei Zhang, Chenhao Niu, Peng Cui, Bo Zhang, Wei Cui, Wenwu Zhu

CoRR, 2020

Adversarial Eigen Attack on Black-Box Models.

Linjun Zhou, Peng Cui, Yinan Jiang, Shiqiang Yang

CoRR, 2020

Stable Prediction via Leveraging Seed Variable.

Kun Kuang, Bo Li, Peng Cui, Yue Liu, Jianrong Tao, Yueting Zhuang, Fei Wu

CoRR, 2020

Invariant Adversarial Learning for Distributional Robustness.

Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li, Yishi Lin

CoRR, 2020

Deep Learning for Learning Graph Representations.

Wenwu Zhu, Xin Wang, Peng Cui

CoRR, 2020

Network embedding in biomedical data science.

Chang Su, Jie Tong, Yongjun Zhu, Peng Cui, Fei Wang

Briefings Bioinform., 2020

Structural Deep Clustering Network.

Deyu Bo, Xiao Wang, Chuan Shi, Meiqi Zhu, Emiao Lu, Peng Cui

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Counterfactual Prediction for Bundle Treatment.

Hao Zou, Peng Cui, Bo Li, Zheyan Shen, Jianxin Ma, Hongxia Yang, Yue He

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Algorithmic Decision Making with Conditional Fairness.

Renzhe Xu, Peng Cui, Kun Kuang, Bo Li, Linjun Zhou, Zheyan Shen, Wei Cui

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Recent Advances on Graph Analytics and Its Applications in Healthcare.

Fei Wang, Peng Cui, Jian Pei, Yangqiu Song, Chengxi Zang

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Stable Learning via Differentiated Variable Decorrelation.

Zheyan Shen, Peng Cui, Jiashuo Liu, Tong Zhang, Bo Li, Zhitang Chen

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Disentangled Self-Supervision in Sequential Recommenders.

Jianxin Ma, Chang Zhou, Hongxia Yang, Peng Cui, Xin Wang, Wenwu Zhu

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Preface: The 2020 ACM SIGKDD Workshop on Causal Discovery.

Thuc Duy Le, Lin Liu, Kun Zhang, Emre Kiciman, Peng Cui, Aapo Hyvärinen

Proceedings of the 2020 KDD Workshop on Causal Discovery (CD@KDD 2020), 2020

Learning Stable Graphs from Multiple Environments with Selection Bias.

Yue He, Peng Cui, Jianxin Ma, Hao Zou, Xiaowei Wang, Hongxia Yang, Philip S. Yu

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

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

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Causal Inference Meets Machine Learning.

Peng Cui, Zheyan Shen, Sheng Li, Liuyi Yao, Yaliang Li, Zhixuan Chu, Jing Gao

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

AM-GCN: Adaptive Multi-channel Graph Convolutional Networks.

Xiao Wang, Meiqi Zhu, Deyu Bo, Peng Cui, Chuan Shi, Jian Pei

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Learning to Select Base Classes for Few-Shot Classification.

Linjun Zhou, Peng Cui, Xu Jia, Shiqiang Yang, Qi Tian

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

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

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

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

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Stable Learning via Sample Reweighting.

Zheyan Shen, Peng Cui, Tong Zhang, Kun Kuang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Rule-Guided Compositional Representation Learning on Knowledge Graphs.

Guanglin Niu, Yongfei Zhang, Bo Li, Peng Cui, Si Liu, Jingyang Li, Xiaowei Zhang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Stable Prediction with Model Misspecification and Agnostic Distribution Shift.

Kun Kuang, Ruoxuan Xiong, Peng Cui, Susan Athey, Bo Li

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

A Survey on Network Embedding.

Peng Cui, Xiao Wang, Jian Pei, Wenwu Zhu

IEEE Trans. Knowl. Data Eng., 2019

Introduction to the Special Section on Advances in Causal Discovery and Inference.

Jiuyong Li, Kun Zhang, Emre Kiciman, Peng Cui

ACM Trans. Intell. Syst. Technol., 2019

Video Summarization by Learning Deep Side Semantic Embedding.

Yitian Yuan, Tao Mei, Peng Cui, Wenwu Zhu

IEEE Trans. Circuits Syst. Video Technol., 2019

The General Black-box Attack Method for Graph Neural Networks.

Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Wenwu Zhu, Junzhou Huang

CoRR, 2019

NICO: A Dataset Towards Non-I.I.D. Image Classification.

Yue He, Zheyan Shen, Peng Cui

CoRR, 2019

Heterogeneous Graph Attention Network.

Xiao Wang, Houye Ji, Chuan Shi, Bai Wang, Yanfang Ye, Peng Cui, Philip S. Yu

Proceedings of the World Wide Web Conference, 2019

Learning Disentangled Representations for Recommendation.

Jianxin Ma, Chang Zhou, Peng Cui, Hongxia Yang, Wenwu Zhu

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Focused Context Balancing for Robust Offline Policy Evaluation.

Hao Zou, Kun Kuang, Boqi Chen, Peixuan Chen, Peng Cui

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Robust Graph Convolutional Networks Against Adversarial Attacks.

Dingyuan Zhu, Ziwei Zhang, Peng Cui, Wenwu Zhu

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Dynamical Origins of Distribution Functions.

Chengxi Zang, Peng Cui, Wenwu Zhu, Fei Wang

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Uncovering Pattern Formation of Information Flow.

Chengxi Zang, Peng Cui, Chaoming Song, Wenwu Zhu, Fei Wang

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

AutoNE: Hyperparameter Optimization for Massive Network Embedding.

Ke Tu, Jianxin Ma, Peng Cui, Jian Pei, Wenwu Zhu

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

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

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

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

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Fates of Microscopic Social Ecosystems: Keep Alive or Dead?

Haoyang Li, Peng Cui, Chengxi Zang, Tianyang Zhang, Wenwu Zhu, Yishi Lin

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Preface: The 2019 ACM SIGKDD Workshop on Causal Discovery.

Thuc Duy Le, Jiuyong Li, Kun Zhang, Emre Kiciman, Peng Cui, Aapo Hyvärinen

Proceedings of the 2019 ACM SIGKDD Workshop on Causal Discovery, 2019

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

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Disparity-preserved Deep Cross-platform Association for Cross-platform Video Recommendation.

Shengze Yu, Xin Wang, Wenwu Zhu, Peng Cui, Jingdong Wang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Disentangled Graph Convolutional Networks.

Jianxin Ma, Peng Cui, Kun Kuang, Xin Wang, Wenwu Zhu

Proceedings of the 36th International Conference on Machine Learning, 2019

Causation-Driven Visualizations for Insurance Recommendation.

Zhixiu Liu, Chengxi Zang, Kun Kuang, Hao Zou, Hu Zheng, Peng Cui

Proceedings of the IEEE International Conference on Multimedia & Expo Workshops, 2019

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

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Collaborative Generative Adversarial Network for Recommendation Systems.

Yuzhen Tong, Yadan Luo, Zheng Zhang, Shazia W. Sadiq, Peng Cui

Proceedings of the 35th IEEE International Conference on Data Engineering Workshops, 2019

Context-Aware Attention-Based Data Augmentation for POI Recommendation.

Yang Li, Yadan Luo, Zheng Zhang, Shazia W. Sadiq, Peng Cui

Proceedings of the 35th IEEE International Conference on Data Engineering Workshops, 2019

Learning to Learn Image Classifiers With Visual Analogy.

Linjun Zhou, Peng Cui, Shiqiang Yang, Wenwu Zhu, Qi Tian

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

General Knowledge Embedded Image Representation Learning.

Peng Cui, Shaowei Liu, Wenwu Zhu

IEEE Trans. Multim., 2018

High-Order Proximity Preserved Embedding for Dynamic Networks.

Dingyuan Zhu, Peng Cui, Ziwei Zhang, Jian Pei, Wenwu Zhu

IEEE Trans. Knowl. Data Eng., 2018

On Power Law Growth of Social Networks.

Chengxi Zang, Peng Cui, Christos Faloutsos, Wenwu Zhu

IEEE Trans. Knowl. Data Eng., 2018

Effective Promotional Strategies Selection in Social Media: A Data-Driven Approach.

Kun Kuang, Meng Jiang, Peng Cui, Hengliang Luo, Shiqiang Yang

IEEE Trans. Big Data, 2018

Causally Regularized Learning with Agnostic Data Selection Bias.

Zheyan Shen, Peng Cui, Kun Kuang, Bo Li, Peixuan Chen

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Deep Learning for Multimedia: Science or Technology?

Jitao Sang, Jun Yu, Ramesh C. Jain, Rainer Lienhart, Peng Cui, Jiashi Feng

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Session details: FF-2.

Peng Cui

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Deep Variational Network Embedding in Wasserstein Space.

Dingyuan Zhu, Peng Cui, Daixin Wang, Wenwu Zhu

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Arbitrary-Order Proximity Preserved Network Embedding.

Ziwei Zhang, Peng Cui, Xiao Wang, Jian Pei, Xuanrong Yao, Wenwu Zhu

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Learning and Interpreting Complex Distributions in Empirical Data.

Chengxi Zang, Peng Cui, Wenwu Zhu

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Deep Recursive Network Embedding with Regular Equivalence.

Ke Tu, Peng Cui, Xiao Wang, Philip S. Yu, Wenwu Zhu

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Hierarchical Taxonomy Aware Network Embedding.

Jianxin Ma, Peng Cui, Xiao Wang, Wenwu Zhu

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Stable Prediction across Unknown Environments.

Kun Kuang, Peng Cui, Susan Athey, Ruoxuan Xiong, Bo Li

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Scalable Optimization for Embedding Highly-Dynamic and Recency-Sensitive Data.

Xumin Chen, Peng Cui, Lingling Yi, Shiqiang Yang

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Power-law Distribution Aware Trust Prediction.

Xiao Wang, Ziwei Zhang, Jing Wang, Peng Cui, Shiqiang Yang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Billion-Scale Network Embedding with Iterative Random Projection.

Ziwei Zhang, Peng Cui, Haoyang Li, Xiao Wang, Wenwu Zhu

Proceedings of the IEEE International Conference on Data Mining, 2018

Collective Human Behavior in Cascading System: Discovery, Modeling and Applications.

Yunfei Lu, Linyun Yu, Tianyang Zhang, Chengxi Zang, Peng Cui, Chaoming Song, Wenwu Zhu

Proceedings of the IEEE International Conference on Data Mining, 2018

TIMERS: Error-Bounded SVD Restart on Dynamic Networks.

Ziwei Zhang, Peng Cui, Jian Pei, Xiao Wang, Wenwu Zhu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Deep Asymmetric Transfer Network for Unbalanced Domain Adaptation.

Daixin Wang, Peng Cui, Wenwu Zhu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Structural Deep Embedding for Hyper-Networks.

Ke Tu, Peng Cui, Xiao Wang, Fei Wang, Wenwu Zhu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

DepthLGP: Learning Embeddings of Out-of-Sample Nodes in Dynamic Networks.

Jianxin Ma, Peng Cui, Wenwu Zhu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Social-sensed multimedia computing.

Peng Cui

Proceedings of the Frontiers of Multimedia Research, 2018

2017

comeNgo: A Dynamic Model for Social Group Evolution.

Tianyang Zhang, Peng Cui, Christos Faloutsos, Yunfei Lu, Hao Ye, Wenwu Zhu, Shiqiang Yang

ACM Trans. Knowl. Discov. Data, 2017

Special issue on intelligent urban computing with big data.

Wu Liu, Peng Cui, Jukka K. Nurminen, Jingdong Wang

Mach. Vis. Appl., 2017

Uncovering and predicting the dynamic process of information cascades with survival model.

Linyun Yu, Peng Cui, Fei Wang, Chaoming Song, Shiqiang Yang

Knowl. Inf. Syst., 2017

Joint user-interest and social-influence emotion prediction for individuals.

Ting Rui, Peng Cui, Wenwu Zhu

Neurocomputing, 2017

Learning to Learn Image Classifiers with Informative Visual Analogy.

Linjun Zhou, Peng Cui, Shiqiang Yang, Wenwu Zhu, Qi Tian

CoRR, 2017

On Image Classification: Correlation v.s. Causality.

Zheyan Shen, Peng Cui, Kun Kuang, Bo Li

CoRR, 2017

Structural patterns of information cascades and their implications for dynamics and semantics.

Chengxi Zang, Peng Cui, Chaoming Song, Christos Faloutsos, Wenwu Zhu

CoRR, 2017

Quantifying Structural Patterns of Information Cascades.

Chengxi Zang, Peng Cui, Chaoming Song, Christos Faloutsos, Wenwu Zhu

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Human-like Visual Learning and Reasoning.

Peng Cui, Wenwu Zhu

Proceedings of the 2017 ACM on Multimedia Conference, 2017

Long Short Memory Process: Modeling Growth Dynamics of Microscopic Social Connectivity.

Chengxi Zang, Peng Cui, Christos Faloutsos, Wenwu Zhu

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

A Temporally Heterogeneous Survival Framework with Application to Social Behavior Dynamics.

Linyun Yu, Peng Cui, Chaoming Song, Tianyang Zhang, Shiqiang Yang

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Estimating Treatment Effect in the Wild via Differentiated Confounder Balancing.

Kun Kuang, Peng Cui, Bo Li, Meng Jiang, Shiqiang Yang

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Community Preserving Network Embedding.

Xiao Wang, Peng Cui, Jing Wang, Jian Pei, Wenwu Zhu, Shiqiang Yang

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Treatment Effect Estimation with Data-Driven Variable Decomposition.

Kun Kuang, Peng Cui, Bo Li, Meng Jiang, Shiqiang Yang, Fei Wang

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Spotting Suspicious Behaviors in Multimodal Data: A General Metric and Algorithms.

Meng Jiang, Alex Beutel, Peng Cui, Bryan Hooi, Shiqiang Yang, Christos Faloutsos

IEEE Trans. Knowl. Data Eng., 2016

Catching Synchronized Behaviors in Large Networks: A Graph Mining Approach.

Meng Jiang, Peng Cui, Alex Beutel, Christos Faloutsos, Shiqiang Yang

ACM Trans. Knowl. Discov. Data, 2016

Inferring lockstep behavior from connectivity pattern in large graphs.

Meng Jiang, Peng Cui, Alex Beutel, Christos Faloutsos, Shiqiang Yang

Knowl. Inf. Syst., 2016

Social-Sensed Multimedia Computing.

Peng Cui, Wenwu Zhu, Tat-Seng Chua, Ramesh C. Jain

IEEE Multim., 2016

Suspicious Behavior Detection: Current Trends and Future Directions.

Meng Jiang, Peng Cui, Christos Faloutsos

IEEE Intell. Syst., 2016

Online Behavioral Analysis and Modeling [Guest Editorial].

Peng Cui, Huan Liu, Charu C. Aggarwal, Fei Wang

IEEE Intell. Syst., 2016

Uncovering and Predicting Human Behaviors.

Peng Cui, Huan Liu, Charu C. Aggarwal, Fei Wang

IEEE Intell. Syst., 2016

Social Media Profiler: Inferring Your Social Media Personality from Visual Attributes in Portrait.

Jie Nie, Lei Huang, Peng Cui, Zhen Li, Yan Yan, Zhiqiang Wei, Wenwu Zhu

Proceedings of the Advances in Multimedia Information Processing - PCM 2016, 2016

Come-and-Go Patterns of Group Evolution: A Dynamic Model.

Tianyang Zhang, Peng Cui, Christos Faloutsos, Yunfei Lu, Hao Ye, Wenwu Zhu, Shiqiang Yang

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Beyond Sigmoids: The NetTide Model for Social Network Growth, and Its Applications.

Chengxi Zang, Peng Cui, Christos Faloutsos

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Structural Deep Network Embedding.

Daixin Wang, Peng Cui, Wenwu Zhu

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Asymmetric Transitivity Preserving Graph Embedding.

Mingdong Ou, Peng Cui, Jian Pei, Ziwei Zhang, Wenwu Zhu

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Steering Social Media Promotions with Effective Strategies.

Kun Kuang, Meng Jiang, Peng Cui, Shiqiang Yang

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Little Is Much: Bridging Cross-Platform Behaviors through Overlapped Crowds.

Meng Jiang, Peng Cui, Nicholas Jing Yuan, Xing Xie, Shiqiang Yang

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Learning Compact Hash Codes for Multimodal Representations Using Orthogonal Deep Structure.

Daixin Wang, Peng Cui, Mingdong Ou, Wenwu Zhu

IEEE Trans. Multim., 2015

Social Recommendation with Cross-Domain Transferable Knowledge.

Meng Jiang, Peng Cui, Xumin Chen, Fei Wang, Wenwu Zhu, Shiqiang Yang

IEEE Trans. Knowl. Data Eng., 2015

Multimedia Big Data Computing.

Wenwu Zhu, Peng Cui, Zhi Wang, Gang Hua

IEEE Multim., 2015

Learning Socially Embedded Visual Representation from Scratch.

Shaowei Liu, Peng Cui, Wenwu Zhu, Shiqiang Yang

Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Non-transitive Hashing with Latent Similarity Components.

Mingdong Ou, Peng Cui, Fei Wang, Jun Wang, Wenwu Zhu

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Deep Multimodal Hashing with Orthogonal Regularization.

Daixin Wang, Peng Cui, Mingdong Ou, Wenwu Zhu

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

From Micro to Macro: Uncovering and Predicting Information Cascading Process with Behavioral Dynamics.

Linyun Yu, Peng Cui, Fei Wang, Chaoming Song, Shiqiang Yang

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

A General Suspiciousness Metric for Dense Blocks in Multimodal Data.

Meng Jiang, Alex Beutel, Peng Cui, Bryan Hooi, Shiqiang Yang, Christos Faloutsos

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Head detection based on convolutional neural network with multi-stage weighted feature.

Ting Rui, Jianchao Fei, Peng Cui, You Zhou, Husheng Fang

Proceedings of the IEEE China Summit and International Conference on Signal and Information Processing, 2015

Probabilistic Attributed Hashing.

Mingdong Ou, Peng Cui, Jun Wang, Fei Wang, Wenwu Zhu

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Perceiving Group Themes from Collective Social and Behavioral Information.

Peng Cui, Tianyang Zhang, Fei Wang, Peng He

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Bilateral Correspondence Model for Words-and-Pictures Association in Multimedia-Rich Microblogs.

Zhiyu Wang, Peng Cui, Lexing Xie, Wenwu Zhu, Yong Rui, Shiqiang Yang

ACM Trans. Multim. Comput. Commun. Appl., 2014

Social-Sensed Image Search.

Peng Cui, Shaowei Liu, Wenwu Zhu, Huan-Bo Luan, Tat-Seng Chua, Shi-Qiang Yang

ACM Trans. Inf. Syst., 2014

Scalable Recommendation with Social Contextual Information.

Meng Jiang, Peng Cui, Fei Wang, Wenwu Zhu, Shiqiang Yang

IEEE Trans. Knowl. Data Eng., 2014

Hyperspectral Image Classification Through Bilayer Graph-Based Learning.

Yue Gao, Rongrong Ji, Peng Cui, Qionghai Dai, Gang Hua

IEEE Trans. Image Process., 2014

A data-driven study of image feature extraction and fusion.

Zhiyu Wang, Peng Cui, Fangtao Li, Edward Y. Chang, Shiqiang Yang

Inf. Sci., 2014

Graph-Based Residence Location Inference for Social Media Users.

Dan Xu, Peng Cui, Wenwu Zhu, Shiqiang Yang

IEEE Multim., 2014

Social-oriented visual image search.

Shaowei Liu, Peng Cui, Huan-Bo Luan, Wenwu Zhu, Shiqiang Yang, Qi Tian

Comput. Vis. Image Underst., 2014

Detecting suspicious following behavior in multimillion-node social networks.

Meng Jiang, Peng Cui, Alex Beutel, Christos Faloutsos, Shiqiang Yang

Proceedings of the 23rd International World Wide Web Conference, 2014

1st workshop on diffusion networks and cascade analytics.

Peng Cui, Fei Wang, Hanghang Tong, Manuel Gomez-Rodriguez

Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Inferring Strange Behavior from Connectivity Pattern in Social Networks.

Meng Jiang, Peng Cui, Alex Beutel, Christos Faloutsos, Shiqiang Yang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

How Your Portrait Impresses People?: Inferring Personality Impressions from Portrait Contents.

Jie Nie, Peng Cui, Yan Yan, Lei Huang, Zhen Li, Zhiqiang Wei

Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Social Embedding Image Distance Learning.

Shaowei Liu, Peng Cui, Wenwu Zhu, Shiqiang Yang, Qi Tian

Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Social multimedia computing.

Peng Cui, Lexing Xie, Jitao Sang, Changsheng Xu

Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

What Videos Are Similar with You?: Learning a Common Attributed Representation for Video Recommendation.

Peng Cui, Zhiyu Wang, Zhou Su

Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Emotionally Representative Image Discovery for Social Events.

Yun Yang, Peng Cui, Wenwu Zhu, H. Vicky Zhao, Yuanyuan Shi, Shiqiang Yang

Proceedings of the International Conference on Multimedia Retrieval, 2014

FEMA: flexible evolutionary multi-faceted analysis for dynamic behavioral pattern discovery.

Meng Jiang, Peng Cui, Fei Wang, Xinran Xu, Wenwu Zhu, Shiqiang Yang

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

CatchSync: catching synchronized behavior in large directed graphs.

Meng Jiang, Peng Cui, Alex Beutel, Christos Faloutsos, Shiqiang Yang

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Find you from your friends: Graph-based residence location prediction for users in social media.

Dan Xu, Peng Cui, Wenwu Zhu, Shiqiang Yang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2014

Discovering Urban Spatio-temporal Structure from Time-Evolving Traffic Networks.

Jingyuan Wang, Fei Gao, Peng Cui, Chao Li, Zhang Xiong

Proceedings of the Web Technologies and Applications - 16th Asia-Pacific Web Conference, 2014

2013

Social Media Recommendation.

Zhi Wang, Wenwu Zhu, Peng Cui, Lifeng Sun, Shiqiang Yang

Proceedings of the Social Media Retrieval, 2013

Propagation-based social-aware multimedia content distribution.

Zhi Wang, Wenwu Zhu, Xiangwen Chen, Lifeng Sun, Jiangchuan Liu, Minghua Chen, Peng Cui, Shiqiang Yang

ACM Trans. Multim. Comput. Commun. Appl., 2013

Multimedia recommendation: technology and techniques.

Jialie Shen, Meng Wang, Shuicheng Yan, Peng Cui

Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

Social Visual Image Ranking for Web Image Search.

Shaowei Liu, Peng Cui, Huan-Bo Luan, Wenwu Zhu, Shiqiang Yang, Qi Tian

Proceedings of the Advances in Multimedia Modeling, 19th International Conference, 2013

User interest and social influence based emotion prediction for individuals.

Yun Yang, Peng Cui, Wenwu Zhu, Shiqiang Yang

Proceedings of the ACM Multimedia Conference, 2013

Understanding and classifying image tweets.

Tao Chen, Dongyuan Lu, Min-Yen Kan, Peng Cui

Proceedings of the ACM Multimedia Conference, 2013

Comparing apples to oranges: a scalable solution with heterogeneous hashing.

Mingdong Ou, Peng Cui, Fei Wang, Jun Wang, Wenwu Zhu, Shiqiang Yang

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Cascading outbreak prediction in networks: a data-driven approach.

Peng Cui, Shifei Jin, Linyun Yu, Fei Wang, Wenwu Zhu, Shiqiang Yang

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

EventLens: An Automatic Magazine Generating System for Social Media.

Hao Chen, Han Tang, Zhiyu Wang, Peng Cui, Yingquing Xu, Shiqiang Yang

Proceedings of the Human Interface and the Management of Information. Information and Interaction Design, 2013

2012

A Matrix-Based Approach to Unsupervised Human Action Categorization.

Peng Cui, Fei Wang, Lifeng Sun, Jianwei Zhang, Shi-Qiang Yang

IEEE Trans. Multim., 2012

Analyzing Image Deblurring Through Three Paradigms.

Chao Wang, Lifeng Sun, Peng Cui, Jianwei Zhang, Shiqiang Yang

IEEE Trans. Image Process., 2012

Guest editorial: Special issue on information retrieval for social media.

Fei Wang, Peng Cui, Gordon Sun, Tat-Seng Chua, Shiqiang Yang

Inf. Retr., 2012

Analyzing social media via event facets.

Zhiyu Wang, Peng Cui, Lexing Xie, Hao Chen, Wenwu Zhu, Shiqiang Yang

Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

Multimedia recommendation.

Jialie Shen, Meng Wang, Shuicheng Yan, Peng Cui

Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

Social recommendation across multiple relational domains.

Meng Jiang, Peng Cui, Fei Wang, Qiang Yang, Wenwu Zhu, Shiqiang Yang

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Social contextual recommendation.

Meng Jiang, Peng Cui, Rui Liu, Qiang Yang, Fei Wang, Wenwu Zhu, Shiqiang Yang

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011

Hierarchical visual event pattern mining and its applications.

Peng Cui, Zhi-Qiang Liu, Lifeng Sun, Shi-Qiang Yang

Data Min. Knowl. Discov., 2011

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

Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

ACM international workshop on social and behavioral networked media access (SBNMA'11).

Naeem Ramzan, Fei Wang, Charalampos Z. Patrikakis, Peng Cui, Nikolaos D. Doulamis, Shiqiang Yang, Gordon Sun

Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

The Visualization of Mass Information in Social Network with a Holistic View.

Xin Li, Xia Zhang, Peng Cui, Zhiyong Fu, Shiqiang Yang, Baoguo Cui

Proceedings of the Electronic Visualisation and the Arts, 2011

Item-Level Social Influence Prediction with Probabilistic Hybrid Factor Matrix Factorization.

Peng Cui, Fei Wang, Shiqiang Yang, Lifeng Sun

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

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

Proceedings of the International Conference on Image Processing, 2010

2009

Contextual Mixture Tracking.

Peng Cui, Lifeng Sun, Fei Wang, Shiqiang Yang

IEEE Trans. Multim., 2009

Adaptive mixture observation models for multiple object tracking.

Peng Cui, Lifeng Sun, Shiqiang Yang

Sci. China Ser. F Inf. Sci., 2009

A Cascade SVM Approach for Head-shoulder Detection using Histograms of Oriented Gradients.

Xi-Feng Ding, Hui Xu, Peng Cui, Lifeng Sun, Shiqiang Yang

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2009), 2009

2008

Analysis of Human Actions for Video Indexing.

Zhuoyuan Chen, Peng Cui, Lifeng Sun, Shiqiang Yang

Proceedings of the Advances in Multimedia Information Processing, 2008

A Joint Matrix Factorization Approach to Unsupervised Action Categorization.

Peng Cui, Fei Wang, Lifeng Sun, Shi-Qiang Yang

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007

A Novel Event-Oriented Segment-of-Interest Discovery Method for Surveillance Video.

Peng Cui, Lifeng Sun, Zhi Wang, Shi-Qiang Yang

Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007

A Sequential Monte Carlo Approach to Anomaly Detection in Tracking Visual Events.

Peng Cui, Lifeng Sun, Zhi-Qiang Liu, Shiqiang Yang

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007