Jiliang Tang– Publications
Preprint
Linked Recurrent Neural Networks
Multi-dimensional Graph Convolutional Networks
Reinforcement Learning for Online Information Seeking
Dynamic Graph Convolutional Networks
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
|