Jiliang Tang– Publications

2020

• Haochen Liu, Wentao Wang, Yiqi Wang, Hui Liu, Zitao Liu and Jiliang Tang
  Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning
  In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020

• Wentao Wang, Tyler Derr, Yao Ma, Suhang Wang, Hui Liu, Zitao Liu and Jiliang Tang
  Learning from Incomplete Labeled Data via Adversarial Data Generation
  In Proceedings of the 2020 IEEE International Conference on Data Mining (ICDM), 2020

• Juanhui Li*, Yao Ma*, Yiqi Wang, Charu Aggarwal, Chang-Dong Wang, Jiliang Tang
  Graph Pooling with Representativeness
  In Proceedings of the 2020 IEEE International Conference on Data Mining (ICDM), 2020

• Haochen Liu, Jamell Dacon, Wenqi Fan, Hui Liu, Zitao Liu and Jiliang Tang
  Does Gender Matter? Towards Fairness in Dialogue Systems
  In Proceedings of the 28th International Conference on Computational Linguistics (COLING), 2020

• Haochen Liu, Zitao Liu, Zhongqin Wu and Jiliang Tang
  Personalized Multimodal Feedback Generation in Education
  In Proceedings of the 28th International Conference on Computational Linguistics (COLING), 2020

• Wentao Wang, Guowei Xu, Wenbiao Ding, Gale Yan Huang, Guoliang Li, Jiliang Tang and Zitao Liu
  Representation Learning from Limited Educational Data with Crowdsourced Labels
  In IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020

• Wenqi Fan, Yao Ma , Qing Li, Jianping Wang, Guoyong Cai, Jiliang Tang and Dawei Yin
  A Graph Neural Network Framework for Social Recommendations
  In IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020

• Wei Jin, Yaxin Li, Han Xu, Yiqi Wang and Jiliang Tang
  Adversarial Attacks and Defenses on Graphs: A Review and Empirical Study
  In ACM SIGKDD Explorations Newsletter (SIGKDD Explorations), 2020

• Hamid Karimi*, Tyler Derr*, Jiangtao Huang and Jiliang Tang
  Online Academic Course Performance Prediction using Relational Graph Convolutional Neural Network
  In Proceedings of 13th International Conference on Educational Data Mining (EDM), 2020

• Hang Li, Zhiwei Wang, Jiliang Tang, Wenbiao Ding and Zitao Liu
  Siamese Neural Networks for Class Activity Detection
  In Proceedings of the 21st International Conference on Artificial Intelligence in Education (AIED), 2020

• Xiangyu Zhao, Long Xia, Lixin Zou, Dawei Yin, Hui Liu and Jiliang Tang
  Whole-Chain Recommendations
  In Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM), 2020

• Hao Yuan, Jiliang Tang, Xia Hu and Shuiwang Ji
  XGNN: Towards Model-Level Explanations of Graph Neural Networks
  In Proceedings of the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2020

• Wei Jin, Yao Ma, Xiaorui Liu, Xianfeng Tang, Suhang Wang and Jiliang Tang
  Graph Structure Learning for Robust Graph Neural Networks
  In Proceedings of the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2020

• Xiangyu Zhao, Xudong Zheng, Xiwang Yang, Xiaobing Liu and Jiliang Tang
  Jointly Learning to Recommend and Advertise
  In Proceedings of the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2020

• Haochen Liu*, Xiangyu Zhao*, Chong Wang, Xiaobing Liu and Jiliang Tang
  Automated Embedding Size Search in Deep Recommender Systems
  In Proceedings of 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020

• Yao Ma, Ziyi Guo, Zhaochun Ren, Jiliang Tang and Dawei Yin
  Streaming Graph Neural Networks
  In Proceedings of 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020

• Christina B.Azodi, Jiliang Tang and Shin-Han Shiu
  Opening the Black Box: Interpretable Machine Learning for Geneticists
  In Trends in Genetics, 2020

• Jie Zhuang, Tai-quan (Winson) Peng, Jiliang Tang, Yingcai Wu.
  Mixed and blended emotional reactions to 2014 Ebola outbreak
  Journal of Global Health, 2020.

• Amin Javari, Tyler Derr, Pouya Esmalian, Jiliang Tang, and Kevin Chen-Chuan Chang.
  ROSE: Role-based Signed Network Embedding.
  In Proceedings of the 29th International Conference on World Wide Web Companion (WWW), 2020.

• Xiaoyang Wang, Yao Ma, Yiqi Wang, Wei Jin, Xin Wang, Jiliang Tang, Caiyan Jia, and Jian Yu
  Traffic Flow Prediction via Spatial Temporal Graph Neural Network
  In Proceedings of the 29th International Conference on World Wide Web Companion (WWW), 2020.

• Xiaorui Liu, Yao Li, Jiliang Tang and Ming Yan.
  A Double Residual Compression Algorithm for Efficient Distributed Learning
  In Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS), 2020.

• Wenqi Fan, Yao Ma, Han Xu, Xiaorui Liu, Jianping Wang, Qing Li, and Jiliang Tang.
  Deep Adversarial Canonical Correlation Analysis.
  In Proceedings of the 2020 SIAM International Conference on Data Mining (SDM), 2020.

• Wentao Wang, Suhang Wang, Wenqi Fan, Zitao Liu, and Jiliang Tang.
  Global-and-Local Aware Data Generation for the Class Imbalance Problem
  In Proceedings of the 2020 SIAM International Conference on Data Mining (SDM), 2020

• Zhiwei Wang, Hui Liu, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu
  Learning Multi-level Dependencies for Robust Word Recognition
  In The 34th AAAI Conference on Artificial Intelligence (AAAI), 2020.

• Teng Guo, Feng Xia, Shihao Zhen, Xiaomei Bai, Dongyu Zhang, Zitao Liu, and Jiliang Tang
  Graduate Employment Prediction with Bias
  In The 34th AAAI Conference on Artificial Intelligence (AAAI), 2020.

• Tyler Derr, Yao Ma, Wenqi Fan, Xiarui Liu, Charu Aggarwal, and Jiliang Tang.
  Epidemic Graph Convolutional Network
  In Proceedings of the 13th ACM International Conference on Web Search and Data Mining (WSDM), 2020.

• Han Xu, Yao Ma, Haochen Liu, Debayan Deb, Hui Liu, Jiliang Tang, Anil K. Jain.
  Adversarial Attacks and Defenses in Images, Graphs and Text: A Review
  International Journal of Automation and Computing (IJAC), 2020.

• Saket Sathe, Sayani Aggarwal, and Jiliang Tang
  Gene Expression and Protein Function: A Survey of Deep Learning Methods
  ACM SIGKDD EXplorations, 2020.

2019

• Tyler Derr, Cassidy Johnson, Yi Chang, and Jiliang Tang.
  Balance in Signed Bipartite Networks.
  In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM), 2019.

• Wenqi Fan, Yao Ma, Dawei Yin, Jianping Wang, Jiliang Tang, Qing Li
  Deep Social Collaborative Filtering
  In Proceedings of the 13th ACM Conference on Recommender Systems (RecSys), 2019

• Yao Ma, Suhang Wang, Charu C. Aggarwal, Jiliang Tang.
  Graph Convolutional Networks with EigenPooling
  In Proceedings of 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD), 2019

• Tyler Derr, Hamid Karimi (co-first authors), Aaron Brookhouse, and Jiliang Tang.
  Multi-Factor Congressional Vote Prediction.
  In Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2019.

• Hamid Karimi, Tyler Derr, Kaitlin Torphy, Ken Frank, and Jiliang Tang.
  A Roadmap for Incorporating Online Social Media in Educational Research.
  In Teachers College Record, 2019.

• Suhas Ranganath, Xia Hu, Jiliang Tang, Suhang Wang and Huan Liu.
  Understanding and Identifying Rhetorical Questions in Social Media
  In ACM Transactions on Intelligent Systems and Technology (TIST), 2019.

• Ghazaleh Beigi, Jiliang Tang, and Huan Liu.
  Social Science-guided Feature Engineering: A Novel Approach to Signed Link Analysis.
  In ACM Transactions on Intelligent Systems and Technology (TIST), 2019.

• Wenqi Fan, Tyler Derr, Yao Ma, Jianping Wang, Jiliang Tang, Qing Li.
  Deep Adversarial Social Recommendation
  In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 2019

• Zhiwei Wang, Xiaoqin Feng, Jiliang Tang, Gale Yan Huang and Zitao Liu
  Knowledge tracing with side information
  In The 20th International Conference on Artificial Intelligence in Education (AIED), 2019.

• Tianqiao Liu, Wenbiao Ding, Zhiwei Wang, Jiliang Tang, Gale Yan Huang and Zitao Liu
  Automatic Short Answer Grading via Multiway Attention Networks
  In The 20th International Conference on Artificial Intelligence in Education (AIED), 2019.

• Zhiwei Wang, Xiaorui Liu, Jiliang Tang and Dawei Yin
  Weight Loss Prediction in Social-Temporal Context
  The Seventh IEEE International Conference on Healthcare Informatics (ICHI), 2019

• Masoud Zarifneshat, Li Xiao, Jiliang Tang.
  Learning-based Blockage Prediction for Robust Links in Dynamic Millimeter Wave Networks.
  In IEEE International Conference on Sensing, Communication and Networking (SECON), 2019.

• Ghazaleh Beigi, Jiliang Tang and Huan Liu.
  Social Science Guided Feature Engineering: A Novel Approach to Signed Link Analysis
  In ACM Transactions on Intelligent Systems and Technology (TIST), 2019.

• Zhen Yang, Haiyang Yu, Jiliang Tang, Huan Liu.
  Toward Keyword Extraction in Constrained Information Retrieval in Vehicle Social Network.
  IEEE Trans. Vehicular Technology (TVT), 2019

• Xiangyu Zhao , Long Xia, Jiliang Tang and Dawei Yin
  Deep Reinforcement Learning for Search, Recommendation, and Online Advertising: A Survey
  In ACM SIGWEB Newsletter (SIGWEB), 2019.

• Hamid Karimi and Jiliang Tang
  Learning Hierarchical Discourse-level Structure for Fake News Detection
  In Proceedings of Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HTL), 2019.

• Wenqi Fan Wenqi Fan, Yao Ma , Qing Li, Yuan He, Eric Zhao, Jiliang Tang, and Dawei Yin
  Graph Neural Networks for Social Recommendation
  In Proceedings of the 28th International Conference on World Wide Web (WWW), 2019.

• Tianqiao Liu, Zhiwei Wang , Jiliang Tang, Songfan Yang and Zitao Liu
  Recommender Systems with Heterogeneous Side Information
  In Proceedings of the 28th International Conference on World Wide Web (WWW), 2019.

• Yao Ma , Suhang Wang, Charu C. Aggarwal, Dawei Yin and Jiliang Tang
  Multi-dimensional Graph Convolutional Networks
  In Proceedings of SIAM International Conference on Data Mining (SDM), 2019.

• Guowei Xu, Wenbiao Ding, Jiliang Tang, Songfan Yang, Gale Yan Huang, and Zitao Liu
  Learning Effective Embeddings from Crowdsourced Labels: An Educational Case Study
  In Proceedings of IEEE International Conference on Data Engineering (ICDE), 2019.

2018

• Tyler Derr , Yao Ma, and Jiliang Tang
  Signed Graph Convolutional Networks
  In Proceedings of the 2018 IEEE International Conference on Data Mining (ICDM), 2018.

• Tyler Derr , Charu Aggarwal, and Jiliang Tang
  Signed Network Modeling Based on Structural Balance Theory
  In Proceedings of the 27th ACM International Conference on Information and Knowledge Management (CIKM), 2018.

• Tyler Derr , Zhiwei Wang, and Jiliang Tang
  Opinions Power Opinions: Joint Link and Interaction Polarity Predictions in Signed Networks
  In Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2018.

• Tyler Derr , Chenxing Wang, Suhang Wang, and Jiliang Tang
  Relevance Measurements in Online Signed Social Networks
  In ACM SIGKDD 14th International Workshop on Mining and Learning with Graphs, 2018

• Xiangyu Zhao , Long Xia, Liang Zhang, Zhuoye Ding, Dawei Yin and Jiliang Tang
  Deep Reinforcement Learning for Page-wise Recommendations
  In Proceedings of the 12th ACM Recommender Systems Conference (RecSys), 2018

• Xiangyu Zhao , Liang Zhang, Zhuoye Ding, Long Xia, Jiliang Tang and Dawei Yin
  Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning
  In Proceedings of 24th ACM SIGKDD Conference on Knowledge Discovery and Data (KDD), 2018

• Xiangyu Zhao and Jiliang Tang
  Crime in Urban Areas: A Data Mining Perspective
  ACM SIGKDD Explorations, 2018

• Yao Ma , Charu Aggarwal, and Jiliang Tang
  Feature Engineering for Data Streams
  Book chapter in Feature Engineering for Machine Learning and Data Analytics, 2018

• Yao Ma , Suhang Wang, and Jiliang Tang
  Preserving Local and Global Information for Network Embedding
  In Proceedings of the international conference series on Advances in Social Network Analysis and Mining (ASONAM), 2018

• Yao Ma , Zhaochun Ren, Ziheng Jiang, Jiliang Tang, Dawei Yin
  Multidimensional network embedding with hierarchical structures
  Proceedings of the 11th ACM Conference on Web Search and Data Mining (WSDM) 2018.

• Hamid Karimi , Proteek Roy, Sadiya Sari and Jiliang Tang
  Multi-Source Multi-Class Fake News Detection
  In Proceedings of the 27th International Conference on Computational Linguistics (COLING), 2018

• Hamid Karimi , Courtland Vandam, Liyang Ye and Jiliang Tang
  End-to-End Compromised Account Detection
  In Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2018.

• Courtland Vandam, Pang-Ning Tan, Jiliang Tang and Hamid Karimi
  CADET: A Multi-View Learning Framework for Compromised Account Detection on Twitter
  In Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2018.

• Hongshen Chen, Zhaochun Ren, Jiliang Tang, Yihong Eric Zhao and Dawei Yin
  Hierarchical Variational Memory Network for Dialogue Generation
  In Proceedings of the 27th International Conference on World Wide Web (WWW), 2018

• Jundong Li, Jiliang Tang, Yilin Wang, Yali Wan, Yi Chang and Huan Liu
  Understanding and Predicting Delay in Reciprocal Relations
  In Proceedings of the 27th International Conference on World Wide Web (WWW), 2018

• Tian Xie, Chi-Yu Li, Guan-Hua Tu and Jiliang Tang
  How Voice Service Threatens Cellular-connected IoT Devices in the Operational 4G LTE Networks
  In IEEE ICC Communication and Information Systems Security Symposium, 2018

• Makoto Yamada, Jiliang Tang et al.
  Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data
  IEEE Transactions on Knowledge and Data Engineering (TKDE), 2018

• Suhang Wang, Jiliang Tang, Yilin Wang and Huan Liu
  Exploring Hierarchical Structures for Recommender Systems
  IEEE Transactions on Knowledge and Data Engineering (TKDE), 2018

• Hongshen Chen,Xiaorui Liu, Dawei Yin and Jiliang Tang
  A Survey on Dialogue Systems: Recent Advances and New Frontiers
  SIGKDD Explorations, 2018

• Kai Shu, Suhang Wang, Jiliang Tang, Yilin Wang, Huan Liu
  CrossFire: Cross Media Joint Friend and Item Recommendations
  Proceedings of the 11th ACM Conference on Web Search and Data Mining (WSDM) 2018.

• Meizi Zhou, Zhuoye Ding, Jiliang Tang, Dawei Yin
  Micro Behaviors: A New Perspective in E-commerce Recommender Systems
  Proceedings of the 11th ACM Conference on Web Search and Data Mining (WSDM) 2018.

• Zihan Wang, Ziheng Jiang, Zhaochun Ren, Jiliang Tang, Dawei Yin
  A Path-constrained Framework for Discriminating Substitutable and Complementary Products in E-commerce
  In Proceedings of the 11th ACM Conference on Web Search and Data Mining (WSDM) 2018.

• Yilin Wang, Suhang Wang, Guojun Qi, Jiliang Tang, Baoxin
  Weakly Supervised Facial Attribute Manipulation via Deep Adversarial Network
  IEEE Winter Conf. on Applications of Computer Vision (WACV), 2018

2017

• Zhiwei Wang, Tyler Derr, Dawei Yin and Jiliang Tang
  Understanding and Predicting Weight Loss with Mobile Social Networking Data
  Proceedings of the 26th ACM International Conference on Information and Knowledge Management (CIKM), 2017

• Xiangyu Zhao and Jiliang Tang
  Modeling Temporal-Spatial Correlation for Crime Prediction
  Proceedings of the 26th ACM International Conference on Information and Knowledge Management (CIKM), 2017

• Suhang Wang, Charu Aggarwal, Jiliang Tang, Huan Liu
  Attributed Signed Network Embedding
  Proceedings of the 26th ACM International Conference on Information and Knowledge Management (CIKM), 2017

• Jundong Li, Harsh Dani, Xia Hu, Jiliang Tang, Yi Chang and Huan Liu
  Attributed Network Embedding for Learning in a Dynamic Environment
  Proceedings of the 26th ACM International Conference on Information and Knowledge Management (CIKM), 2017

• Yao Ma, Suhang Wang, and Jiliang Tang
  Network Embedding with Centrality Information
  ICDM PhD Forum, 2017

• Zhiwei Wang, and Jiliang Tang
  Predicting Weight Loss with Ensemble Methods
  ICDM PhD Forum, 2017

• Xiangyu Zhao, and Jiliang Tang
  Exploring Transfer Learning for Crime Prediction
  ICDM PhD Forum, 2017

• Jundong Li, Kewei Cheng, Suhang Wang, Fred Morstatter, Robert P. Trevino, Jiliang Tang and Huan Liu
  Feature Selection: A Data Perspective
  ACM Computing Surveys (CSUR), 2017

• Kai Shu, Amy Sliva, Suhang Wang, Jiliang Tang, and Huan Liu
  Fake News Detection on Social Media: A Data Mining Perspective
  SIGKDD Explorations, 2017

• Yang Li, Quan Pan, Tao Yang, Suhang Wang, Jiliang Tang, and Erik Cambria
  Learning Word Representations for Sentiment Analysis
  Cognitive Computation, 2017

• Courtland VanDam, Jiliang Tang, and Pang-ning Tan
  Understanding Compromised Accounts on Twitter
  IEEE/WIC/ACM International Conference on Web Intelligence (WI), 2017

• Guo-Jun Qi, Jiliang Tang, Jingdong Wang, and Jiebo Luo
  Mixture Factorized Ornstein-Uhlenbeck Processes for Time-Series Forecasting
  ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2017

• Yuening Hu, Changsung Kang, Jiliang Tang, Dawei Yin, and Yi Chang
  Large-scale Location Prediction for Web Pages
  IEEE Trans on Knowledge and Data Engineering (TKDE), 2017

• Jundong Li, Jiliang Tang and Huan Liu
  Reconstruction-based Unsupervised Feature Selection: An Embedded Approach
  Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI), 2017

• Suhas Ranganth, Suhang Wang, Xia Hu, Jiliang Tang, and Huan Liu
  Facilitating Time Critical Information Seeking in Social Media
  IEEE Trans on Knowledge and Data Engineering (TKDE), 2017

• Jundong Li, Jiliang Tang and Huan Liu
  Recent Advances in Feature Selection: A Data Perspective
  Tutorial in ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2017

• Yilin Wang, Jiliang Tang, Jundong Li, Baoxin Li, Yali Wan, Clayton Mellina, Neil O'Hare and Yi Chang
  Understanding and Discovering Deliberate Self-harm Content in Social Media
  Proceedings of International World Wide Web Conference (WWW), 2017

• Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark Hasegawa-Johnson and Thomas Huang
  Streaming Recommender Systems
  Proceedings of International World Wide Web Conference (WWW), 2017

• Suhang Wang, Yilin Wang, Jiliang Tang, Kai Shu, Suhas Ranganath and Huan Liu
  What Your Images Reveal: Exploiting Visual Contents for Point-of-Interest Recommendation
  Proceedings of International World Wide Web Conference (WWW), 2017

• Lin Chen, Jiliang Tang and Baoxin Li
  Supervised Feature Selection for Multi-class Data
  Proceedings of the Seventeenth SIAM International Conference on Data Mining (SDM), 2017

• Suhang Wang, Yilin Wang, Jiliang Tang, Charu Aggarwal, Suhas Ranganath and Huan Liu
  Exploiting Hierarchical Structures for Unsupervised Feature Selection
  Proceedings of the Seventeenth SIAM International Conference on Data Mining (SDM), 2017

• Suhang Wang, Jiliang Tang, Charu Aggarwal, Yi Chang and Huan Liu
  Signed Network Embedding in Social Media
  Proceedings of the Seventeenth SIAM International Conference on Data Mining (SDM), 2017

• Yang Li, Suhang Wang, Quan Pan, Tao Yang and Jiliang Tang
  Price Recommendation on Vacation Rental Websites
  Proceedings of the Seventeenth SIAM International Conference on Data Mining (SDM), 2017

• Kai Shu, Suhang Wang, Jiliang Tang, Reza Zafarani and Huan Liu
  User Identity Linkage across Online Social Netwroks: A Review
  To appear in SIGKDD Explorations

• Kewei Cheng, Jundong Li, Jiliang Tang, and Huan Liu
  Unsupervised Sentiment Analysis with Signed Social Networks
  Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI), 2017

• Yilin Wang, Suhang Wang, Jiliang Tang, Guojun Qi, Huan Liu and Baoxin Li
  CLARE:A Joint Approach to Label Classification and Tag Recommendation
  Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI), 2017

• Lu Jiang, Yannis Kalantidis, Liangliang Cao, Sachin Farfade, Jiliang Tang, and Alex Hauptmann.
  Delving Deep into Personal Photo and Video Search
  In the 10th International Conference on Web Search and Data Mining (WSDM), 2017

2016

• Huan Liu, Fred Morstatter, Jiliang Tang, and Reza Zafarani
  The good, the bad, and the ugly: uncovering novel research opportunities in social media mining
  In International Journal of Data Science and Analytics, 2016

• Yunlong He, Jiliang Tang, Hua Ouyang, Changsung Kang, Dawei Yin and Yi Chang.
  Learning to Rewrite Queries
  In Proceedings of 25th ACM Conference on Information and Knowledge Management (CIKM), 2016

• Suhang Wang, Jiliang Tang, Fred Morstatter and Huan Liu.
  Paired Restricted Boltzmann Machine for Linked Data
  In Proceedings of 25th ACM Conference on Information and Knowledge Management (CIKM), 2016

• Suhang Wang, Jiliang Tang, Charu Aggarwal and Huan Liu.
  Linked Document Embedding for Classification
  In Proceedings of 25th ACM Conference on Information and Knowledge Management (CIKM), 2016

• Jiliang Tang, Yi Chang, Charu Aggarwal, and Huan Liu.
  A Survey of Signed Network Mining in Social Media
  To appear in ACM Computing Surveys.

• Dawei Yin, Yuening Hu, Jiliang Tang, Tim Daly Jr., Mianwei Zhou, Hua Ouyang, Jianhui Chen, Changsung Kang, Hongbo Deng, Chikashi Nobata, Jean-Marc Langlois, Yi Chang.
  Ranking Relevance in Yahoo Search
  In Proceedings of the 22nd annual ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2016

• Shiyu Chang^§, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark Hasegawa-Johnson, Thomas S. Huang.
  Positive-Unlabeled Learning in Streaming Networks
  In Proceedings of the 22nd annual ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2016

• Ruifang He, Yang Liu, Guangchuan Yu, Jiliang Tang, Qinghua Hu, and Jianwu Dang
  Twitter Summarization with Social-Temporal Context
  to appear in World Wide Web Journal

• Yi Chang, Jiliang Tang, Dawei Yin, Makoto Yamada, and Yan Liu.
  Timeline Summarization with Life Cycle Models from Social Media
  Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI), 2016

• Yilin Wang^§, Suhang Wang, Jiliang Tang, Huan Liu and Baoxin Li.
  PPP: Joint Pointwise and Pairwise Image Label Prediction
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016

• Ruifang He, Jiliang Tang, Pinghua Gong, Qinghua Hu and Bo Wang.
  Multi-document summarization via group sparse learning
  Information Sciences, 2016.

• Ghazaleh Beigi^§, Jiliang Tang and Huan Liu.
  Signed Link Analysis in Social Media Networks
  The 10th International AAAI Conference on Weblogs and Social Media (ICWSM), 2016

• Suhas Ranganth^§, Xia Hu, Jiliang Tang, Suhang Wang and Huan Liu.
  Identifying Rhetorical Questions in Social Media
  The 10th International AAAI Conference on Weblogs and Social Media (ICWSM), 2016

• Pritam Gundecha, Jiliang Tang, Xia Hu and Huan Liu.
  Exploring Personal Attributes from Unprotected Interactions
  The 10th International AAAI Conference on Weblogs and Social Media (ICWSM)， 2016.

• Jundong Li^§, Kewei Cheng^§, Suhang Wang^§, Fred Morstatter, Robert P. Trevino, Jiliang Tang and Huan Liu
  Feature Selection: A Data Perspective
  scikit-feature an open-source feature selection repository in Python

• Jiliang Tang, Charu Aggarwal and Huan Liu.
  Node Classification in Signed Social Networks
  SIAM International Conference on Data Mining (SDM), 2016

• Ghazaleh Beigi^§, Jiliang Tang, Suhang Wang and Huan Liu.
  Exploiting Emotional Information for Trust/Distrust Prediction
  SIAM International Conference on Data Mining (SDM), 2016

• Jiliang Tang, Charu Aggarwal and Huan Liu.
  Recommendations in Signed Social Networks
  the 25nd International World Wide Web Conference (WWW), 2016

• Suhas Ranganath^§, Xia Hu, Jiliang Tang, and Huan Liu.
  Understanding and Identifying Advocates of Political Campaigns on Social Media
  ACM International Conference on Web Search and Data Mining (WSDM), 2016

• Suhas Ranganath^§, Fred Morstatter, Xia Hu, Jiliang Tang, Suhang Wang, and Huan Liu.
  Predicting Online Protest Participation of Social Media Users
  the AAAI Conference on Artificial Intelligence (AAAI), 2016

• Jiliang Tang, SuhangWang, Xia Hu, Dawei Yin, Yingzhou Bi, Yi Chang and Huan Liu.
  Recommendation with Social Dimensions
  the AAAI Conference on Artificial Intelligence (AAAI), 2016

2015

• Jiliang Tang, and Huan Liu.
  Trust in Social Media
  Morgan Claypool & Publishers, 2015

• Suhang Wang^§, Jiliang Tang, and Huan Liu.
  Feature Selection
  Encyclopedia of Machine Learning and Data Mining, 2015

• Jiliang Tang, Huiji Gao, Atish Das Sarma, Yingzhou Bi, and Huan Liu.
  Trust Evolution: Modeling and Its Applications
  IEEE Transactions on Knowledge and Data Engineering (TKDE), 2015.

• Suhas Ranganath^§, Suhang Wang, Xia Hu, Jiliang Tang and Huan Liu.
  Facilitating Time-Critical Information Seeking in Social Media
  the IEEE International Conference on Data Mining (ICDM), 2015

• Yunzhong Liu, Yi Chen, Jiliang Tang, and Huan Liu.
  Context-Aware Experience Extraction from Online Health Forums
  IEEE International Conference on Healthcare Informatics (ICHI), 2015

• Suhang Wang^§, Jiliang Tang, and Huan Liu.
  Toward Dual Roles of Users in Recommender Systems
  ACM International Conference of Information and Knowledge Management (CIKM), 2015

• Jundong Li ^§, Xia Hu, Jiliang Tang and Huan Liu.
  Unsupervised Streaming Feature Selection in Social Media
  ACM International Conference of Information and Knowledge Management (CIKM), 2015

• Shiyu Chang ^§, Wei Han, Jiliang Tang, Guo-Jun Qi, Charu Aggarwal, and Thomas Huang.
  Heterogeneous Network Embedding via Deep Architectures
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining(KDD), 2015

• Suhang Wang ^§, Jiliang Tang, Yilin Wang, and Huan Liu.
  Exploring Implicit Hierarchical Structures for Recommender Systems
  International Joint Conference on Artificial Intelligence (IJCAI), 2015

• Yilin Wang^§, Suhang Wang, Jiliang Tang, Huan Liu and Baoxin Li.
  Unsupervised Sentiment Analysis for Social Media Images
  International Joint Conference on Artificial Intelligence (IJCAI), 2015  [Project Webpage] 

• Jiliang Tang, Chikashi Nobata, Anlei Dong, Yi Chang and Huan Liu.
  Propagation-based Sentiment Analysis for Microblogging Data
  SIAM International Conference on Data Mining (SDM), 2015

• Suhang Wang^§, Jiliang Tang, and Huan Liu.
  Embedded Unsupervised Feature Selection
  the AAAI Conference on Artificial Intelligence (AAAI), 2015

• Huiji Gao, Jiliang Tang, Xia Hu, and Huan Liu.
  Content-Aware Point of Interest Recommendation on Location-Based Social Networks
  the AAAI Conference on Artificial Intelligence (AAAI), 2015

• Suhas Ranganath^§, Jiliang Tang, Xia Hu, Hari Sundaram, and Huan Liu.
  Leveraging Social Foci for Information Seeking in Social Media
  the AAAI Conference on Artificial Intelligence (AAAI), 2015

• Ying Wang, Xin Wang, Jiliang Tang, Wanli Zuo, and Guoyong Cai.
  Modeling Status Theory in Trust Prediction
  the AAAI Conference on Artificial Intelligence (AAAI), 2015

• Jiliang Tang, Shiyu Chang, Charu Aggarwal, and Huan Liu.
  Negative Link Prediction in Social Media
  ACM International Conference on Web Search and Data Mining (WSDM), 2015 [Slides]

2014

• Mohammad Ali Abbasi, Jiliang Tang, and Huan Liu.
  Trust Aware Recommender Systems
  in Machine Learning book on computational trust, Chapman and Hall/CRC Press

• Jiliang Tang, Salem Alelyani and Huan Liu.
  Feature Selection for Classification: A Review
  in Data Classification: Algorithms and Applications. Editor: Charu Aggarwal, CRC Press

• Pritam Gundecha , Geoffrey Barbier, Jiliang Tang and Huan Liu.
  User Vulnerability and its Reduction on a Social Networking Site
  ACM Transactions on Knowledge Discovery from Data (TKDD), 2014

• jiliang Tang and Huan Liu.
  An Unsupervised Feature Selection Framework for Social Media Data
  IEEE Transactions on Knowledge and Data Engineering (TKDE), 2014

• Jiliang Tang and Huan Liu.
  Feature Selection for Social Media Data
  ACM Transactions on Knowledge Discovery from Data (TKDD), 2014

• Huiji Gao, Jiliang Tang and Huan Liu.
  Solving the Cold Start Problem in Location Recommendation with Geo-Social Correlations
  Data mining and Knowledge Discovery (DMKD), 2014

• Huiji Gao, Jiliang Tang and Huan Liu.
  Personalized Location Recommendation on Location-based Social Network
  Tutorial on The ACM Recommender System conference (Recsys), 2014

• Jiliang Tang, Jie Tang and Huan Liu.
  Recommendation in Social Media - Recent Advances and New Frontier
  Tutorial on 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2014

• Jiliang Tang and Huan Liu.
  Trust in Social Computing
  Tutorial on the 23nd International World Wide Web Conference (WWW), 2014

• Xia Hu, Jiliang Tang, Huiji Gao and Huan Liu.
  Social Spammer Detection with Sentiment Information
  IEEE International Conference on Data Mining (ICDM), 2014

• Jiliang Tang, Xia Hu, Yi Chang, and Huan Liu.
  Predictability of Distrust with Interaction Data
  ACM International Conference on Information and Knowledge Management (CIKM), 2014

• Jiliang Tang, Xia Hu and Huan Liu.
  Is Distrust the Negation of Trust? The Value of Distrust in Social Media
  ACM Hypertext conference (HT), 2014

• Mohammad Ali Abbasi, Reza Zafarani, Jiliang Tang, and Huan Liu.
  Am I More Similar to My Followers or Followees? Homophily Effect in Directed Online Social Networks
  ACM Hypertext conference (HT), 2014

• Mohammad Ali Abbasi, Jiliang Tang, and Huan Liu.
  Scalable Learning of Users' Preferences Using Networked Data
  ACM Hypertext conference (HT), 2014

• Guoyong Cai, Jiliang Tang, Yiming Wen.
  Trust Prediction with Temporal Dynamics
  Web-Age Information Management, 2014

• Xia Hu, Jiliang Tang, and Huan Liu.
  Leveraging Knowledge across Media for Spammer Detection in Microblogging
  In Proceedings of the 37th Annual ACM SIGIR Conference (SIGIR), 2014.

• Xia Hu, Jiliang Tang, and Huan Liu.
  Online Social Spammer Detection
  In Proceedings of the 28th AAAI Conference on Artificial Intelligence (AAAI), 2014

• Jiliang Tang, Xia Hu, Huiji Gao, and Huan Liu.
  Discriminant Analysis for Unsupervised Feature Selection
  the 14th SIAM International Conference on Data Mining (SDM), 2014

2013

• Salem Alelyani, Jiliang Tang and Huan Liu.
  Feature Selection for Clustering: A Review
  in Data Clustering: Algorithms and Applications, Editor: Charu Aggarwal and Chandan Reddy, CRC Press.

• Jiliang Tang , Yi Chang and Huan Liu.
  Mining Social Media with Social Theories: A Survey
  SIGKDD Explorations, 2013

• Jiliang Tang , Xia Hu and Huan Liu.
  Social Recommendation: A Review
  , Social Network Analysis and Mining (SNAM), 2013

• Huiji Gao, Jiliang Tang, Xia Hu and Huan Liu.
  Modeling Temporal Effects of Human Mobile Behavior on Location-Based Social Networks
  ACM International Conference on Information and Knowledge Management (CIKM), 2013

• Jiliang Tang , Huiji Gao, Xia Hu and Huan Liu.
  Context-Aware Review Helpfulness Rating Prediction
  the ACM Conference Series on Recommender Systems (RecSys), 2013

• Huiji Gao, Jiliang Tang, Xia Hu and Huan Liu.
  Exploring Temporal Effects for Location Recommendation on Location-Based Social Networks
  the ACM Conference Series on Recommender Systems (RecSys), 2013

• Huiji Gao, Xufei Wang, Jiliang Tang and Huan Liu.
  Network Denoising in Social Media
  the 2013 IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM), 2013

• Jiliang Tang, Xia Hu, Huiji Gao, and Huan Liu.
  Exploiting Local and Global Social Context for Recommendation
  the 23rd International Joint Conference on Artificial Intelligence (IJCAI), 2013

• Xia Hu, Jiliang Tang, Yanchao Zhang, and Huan Liu.
  Social Spammer Detection in Microblogging
  the 23rd International Joint Conference on Artificial Intelligence (IJCAI), 2013

• Xia Hu, Jiliang Tang, Huiji Gao, and Huan Liu.
  Unsupervised Sentiment Analysis with Emotional Signals
  the 22nd International World Wide Web Conference (WWW), 2013

• Jiliang Tang and Huan Liu.
  CoSelect: Feature Selection with Instance Selection for Social Media Data
  the 13th SIAM International Conference on Data Mining (SDM), 2013

• Jiliang Tang, Xia Hu, Huiji Gao, and Huan Liu.
  Unsupervised Feature Selection for Multi-view Data in Social Media
  the 13th SIAM International Conference on Data Mining (SDM), 2013

• Xia Hu, jiliang Tang, Huiji Gao, and Huan Liu.
  ActNeT: Active Learning for Networked Texts in Microblogging
  the 13th SIAM International Conference on Data Mining (SDM), 2013

• Jiliang Tang, Huiji Gao, Xia Hu, and Huan Liu.
  Exploiting Homophily Effect for Trust Prediction
  the 6th ACM International Conference on Web Search and Data Mining (WSDM), 2013

• Xia Hu, Lei Tang, Jiliang Tang, and Huan Liu.
  Exploiting Social Relations for Sentiment Analysis in Microblogging
  the 6th ACM International Conference on Web Search and Data Mining (WSDM), 2013