Publications

Conference and Journal Publications

  • Qingyao Ai, Yongfeng Zhang, Keping Bi, Xu Chen, and W. Bruce Croft. Learning a Hierarchical Embedding Model for Personalized Product Search. In Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017), August 7 - 11, 2017, Tokyo, Japan. [PDF][slides][code]
  • Xu Chen, Yongfeng Zhang, Qingyao Ai, Hongteng Xu, Junchi Yan, and Zheng Qin. Personalized Key Frame Recommendation. In Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017), August 7 - 11, 2017, Tokyo, Japan. [PDF][slides][code]
  • Qi Zhao, Yongfeng Zhang, Yi Zhang, and Daniel Friedman. Multi-Product Utility Maximization for Economic Recommendation. In Proceedings of the 10th International Conference on Web Search and Data Mining (WSDM 2017), February 6 - 10, 2017, Cambridge, UK. [PDF][slides][code]
  • Huijie Lin, Jia Jia, Jiezhong Qiu, Yongfeng Zhang, Guangyao Shen, Lexing Xie, Jie Tang, Ling Feng, and Tat-Seng Chua. Detecting Stress Based on Social Interactions in Social Networks. In IEEE Transactions on Knowledge and Data Engineering (TKDE), Mar 2017. [PDF]
  • Liu Yang, Hamed Zamani, Yongfeng Zhang, Jiafeng Guo, and W. Bruce Croft. Neural Matching Models for Question Retrieval and Next Question Prediction in Conversation. In Proceedings of the SIGIR 2017 Workshop on Neural Information Retrieval (NEUIR 2017), August 7 - 11, 2017, Tokyo, Japan. [PDF]
  • Xiao Lin, Min Zhang, Yongfeng Zhang, Zhaoquan Gu, Yiqun Liu, Shaoping Ma. Fairness-Aware Group Recommendation with Pareto Efficiency. In Proceedings of the 11th ACM Conference on Recommender Systems (RecSys 2017), August 27 - 31, 2017, Como, Italy. [PDF]
  • Xiao Lin, Min Zhang, Yongfeng Zhang, Yiqun Liu, and Shaoping Ma. Boosting Moving Average Reversion Strategy for Online Portfolio Selection: A Meta-Learning Approach. In Proceedings of the 22nd International Conference on Database Systems for Advanced Applications (DASFAA 2017), March 27 - 30, 2017, Suzhou, China. [PDF][slides]
  • Xiao Lin, Yongfeng Zhang. Joint Factorizational Topic Models for Cross-City Recommendation. In Proceedings of the 2017 APWeb-WAIM Joint Conference on Web and Big Data (APWEB-WAIM 2017), July 7 - 9, 2017, Beijing, China. Best Student Paper Award. [PDF]
  • Xiao Lin, Min Zhang, Yongfeng Zhang, Zhaoquan Gu. Disparity-Aware Group Formation for Recommendation. In Proceedings of the Sixteenth International Conference on Antonomous Agents and Multiagent Sytems (AAMAS 2017), May 8 - 12, 2017, Sao Paulo, Brazil. [PDF]
  • Yongfeng Zhang, Qi Zhao, Yi Zhang, Daniel Friedman, Min Zhang, Yiqun Liu, and Shaoping Ma. Economic Recommendation with Surplus Maximization. In Proceedings of the 25th International World Wide Web Conference (WWW 2016), April 11 - 15, 2016, Montreal, Canada. [PDF][slides][code]
  • Xu Chen, Zheng Qin, Yongfeng Zhang, and Tao Xu. Learning to Rank Features for Recommendation over Multiple Categories. In Proceedings of the 39th Annual International ACM SIGIR Conference on Research and Development on Information Retrieval (SIGIR 2016), July 17 - 21, 2016, Pisa, Italy. [PDF][slides]
  • Xu Chen, Pengfei Wang, Zheng Qin, and Yongfeng Zhang. HLBPR: A Hybrid Local Bayesian Personal Ranking Method. In Proceedings of the 25th International World Wide Web Conference (WWW 2016) (poster), April 11 - 15, 2016, Montreal, Canada. [PDF][poster]
  • Yongfeng Zhang, Yunzhi Tan, Min Zhang, Yiqun Liu, Chua Tat-Seng, and Shaoping Ma. Catch the Black Sheep: Unified Framework for Shilling Attack Detection based on Fraudulent Action Propagation. In Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI 2015), July 25 - 31, 2015, Buenos Aires, Argentina. [PDF][slides]
  • Yongfeng Zhang, Min Zhang, Yi Zhang, Guokun Lai, Yiqun Liu, Honghui Zhang, Shaoping Ma. Daily-Aware Personalized Recommendation based on Feature-Level Time Series Analysis. In Proceedings of the 24th International World Wide Web Conference (WWW 2015), May 18 - 22, 2015, Florence, Italy. [PDF][slides]
  • Yongfeng Zhang. Incorporating Phrase-level Sentiment Analysis on Textual Reviews for Personalized Recommendation. The 8th International Conference on Web Search and Data Mining (WSDM 2015), Feb. 2 - 6, 2015, Shanghai, China. [PDF]
  • Yongfeng Zhang, Min Zhang, Yiqun Liu, Chua Tat-Seng, Yi Zhang, Shaoping Ma. Task-based Recommendation on a Web-Scale. In Proceedings of the 2015 IEEE International Conference on Big Data (BigData 2015), Oct 29 - Nov 1, 2015, Santa Clara, CA, USA. [PDF]
  • Yuan Wang, Yongfeng Zhang, Yi Zhang, Xintong Zhang, Jie Liu, and Yalou Huang. Exploration of Semantic-aware Approach for Contextual Suggestion Using Knowledge from The Open Web. In Proceedings of the 24th Text REtrieval Conference (TREC 2015), Nov. 17 - 20, 2015, Gaithersburg, Maryland, USA. [PDF]
  • Han Zhao, Pascal Poupart, Yongfeng Zhang and Martin Lysy. SoF: Soft-Cluster Matrix Factorization for Probabilistic Clustering. In Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI 2015), Jan. 25 - 29, 2015, Austin, Texas, USA. [PDF]
  • Yongfeng Zhang, Min Zhang, Yiqun Liu and Shaoping Ma. Boost Phrase-level Polarity Labelling with Review-level Sentiment Classification. arXiv Preprint 2015. arXiv:1502.03322. [PDF]
  • Yongfeng Zhang, Min Zhang, Yi Zhang, Yiqun Liu and Shaoping Ma. Understanding the Sparsity: Augmented Matrix Factorization with Sampled Constraints on Unobservables. In Proceedings of the 23rd ACM International Conference on Information and Knowledge Management (CIKM 2014), Nov. 3 - 7, 2014, Shanghai, China. [PDF][Supplementary]
  • Yongfeng Zhang. Browser-Oriented Universal Cross-Site Recommendation and Explanation based on User Browsing Logs. In Proceedings of the 8th ACM Conference Series on Recommender Systems (RecSys 2014), Oct. 6 - 10, 2014, Foster City, Silicon Valley, USA. [PDF][slides]
  • Yongfeng Zhang, Guokun Lai, Min Zhang, Yi Zhang, Yiqun Liu and Shaoping Ma. Explicit Factor Models for Explainable Recommendation based on Phrase-level Sentiment Analysis. In Proceedings of the 37th Annual International ACM SIGIR Conference on Research and Development on Information Retrieval (SIGIR 2014), July 6 - 11, 2014, Gold Coast, Australia; and the Best Paper Award of the 7th International Doctoral Forum, December 5-7, Xi'an, China [PDF][slides][code]
  • Yongfeng Zhang, Haochen Zhang, Min Zhang, Yiqun Liu and Shaoping Ma. Do Users Rate or Review? Boost Phrase-level Sentiment Labeling with Review-level Sentiment Classification. In Proceedings of the 37th Annual International ACM SIGIR Conference on Research and Development on Information Retrieval (SIGIR 2014) (short paper), July 6 - 11, 2014, Gold Coast, Australia. [PDF][poster]
  • Yunzhi Tan, Yongfeng Zhang, Min Zhang, Yiqun Liu and Shaoping Ma. A Unified Framework for Emotional Elements Extraction based on Finite State Matching Machine. In Proceedings of the 2nd CCF Conference on Natural Language Processing and Chinese Computing (NLP&CC 2013), Nov. 15 - 19, 2013, Chongqing, China. [PDF]
  • Yongfeng Zhang, Min Zhang, Yiqun Liu and Shaoping Ma. Improve Collaborative Filtering Through Bordered Block Diagonal Form Matrices. In Proceedings of the 36th Annual International ACM SIGIR Conference on Research and Development on Information Retrieval (SIGIR 2013), July 28 - August 1, 2013, Dublin, Ireland. [PDF][slides]
  • Yongfeng Zhang, Min Zhang, Yiqun Liu, Shaoping Ma and Shi Feng. Localized Matrix Factorization for Recommendation based on Matrix Block Diagonal Forms. In Proceedings of the 22nd International Conference on World Wide Web (WWW 2013), May 13 - 17, 2013, Rio de Janeiro, Brazil. [PDF][slides][code]
  • Yongfeng Zhang, Min Zhang, Yiqun Liu and Shaoping Ma. A General Collaborative Filtering Framework based on Matrix Bordered Block Diagonal Forms. In proceedings of the 24th ACM Conference on Hypertext and Social Media (HT 2013), May 1 - 3, 2013, Paris, France. [PDF]
  • Yongfeng Zhang and Wei Dai. Is Fengshui Science or Superstition? A New Criterion for Judging the Value of Knowledge Systems. Journal of Literature and Art Studies (JLAS), Vol.3, No.1, 2013. [PDF]
  • Yu Li, Jing Zhang and Yongfeng Zhang. Towards the Adaption to the Open Texture of Law. In Proceedings of the 2013 International Conference on Complex Science Management and Education Science, Nov 23 - 24, Kunming, China, 2013. [PDF]
  • Ting Yao, Min Zhang, Yiqun Liu, Shaoping Ma, Yongfeng Zhang and Liyun Ru. Investigating Characteristics of Non-click Behavior Using Query Logs. In Proceedings of the 6th Asia Information Retrieval Societies Conference (AIRS 2010), December 1 - 3, Taipei, Taiwan. [PDF]

Book Chapters

  • Yongfeng Zhang. Personalized Recommender Systems - Understanding the Users behind the System. In Z. Liu and A. Cui, editors, Big Data Intelligence, Publishing House of Electronics Industry, pp.130-163. [Website]

Technical Reports

  • Yongfeng Zhang, Xin Li, Jie Tang, Min Zhang. When AI meets the Tango: The 24th International Joint Conference on Artificial Intelligence (in Chinese). China Computer Federation (CCF) Communications. Volume 11, Issue 09, 2015. [PDF].
  • Yongfeng Zhang, Yiqun Liu, Jie Tang. Review of the 24th International Conference on World Wide Web (in Chinese). China Computer Federation (CCF) Communications. Volume 11, Issue 07, 2015. [PDF].
  • Yongfeng Zhang. A Suervey of Recommender Systems. Technical Report in the State Key Laboratory of Intelligent Technology and Systems, Dept. of CS, Tsinghua University. 2012-04-23. [PDF][slides].
  • Yongfeng Zhang. Time Series Analysis. Technical Report in the State Key Laboratory of Intelligent Technology and Systems, Dept. of CS, Tsinghua University. 2014-05-05. [slides].

Thesis

  • Yongfeng Zhang. Explainable Recommendation - Theory and Applications. Dissertation submitted to Tsinghua University for the degree of Doctor of Philosophy in Computer Science. Advisor: Shaoping Ma, Consultant Advisor: Min Zhang, Yiqun Liu, Yi Zhang, Daniel Friedman. [PDF]