Wayne Xin Zhao

Professor

[Google Scholar entry],[DBLP entry]

[Homepage in Renmin University of China]


Contact: batmanfly at gmail dot com

Research Interests: recommender systems, deep learning, social content analysis, microblogging mining, burst mining and topic modeling.

Selected Awards: CCF Young Talent Promoting Project 2017 (1/6), Google China PhD Fellowship 2011 (1/4), MSRA PhD Fellowship 2012 (1/10).

Open intern positions: I'm always looking for highly-motivated students to work with me (fund support). If interested, please drop me a message via BatmanFly AT gmail.com.


Professional activities

Regular Conference reviewer: EMNLP, ACL, IJCAI, ASONAM, CIKM

Regular Journal reviewer: ACM TOIS, ACM TIST, ACM TKDD, IEEE TKDE, FCS

Area Chairs: EMNLP 2019, SMP 2017, NLPCC 2017, AIRS 2016

Senior PC Reviewer: SIGIR 2020-2021, AAAI 2021, IJCAI 2021, CIKM 2020


Publications

Technical Report

  • A note of variational methods for LDA.
    Wayne Xin Zhao
    The working report in PKU Net-LAB, 2013.
  • A note for derivations for pLSA and LDA.
    Wayne Xin Zhao
    The working report in PKU Net-LAB, 2011.
  • A survey of topic modeling in text mining (in Chinese).
    Wayne Xin Zhao
    The working report in PKU Net-LAB, 2011.
  • Book Chapter

  • Deep Learning in Social Computing.
    Wayne Xin Zhao, Chenliang Li.
    From Deep Learning in Natural Language Processing, Editors: Deng, Li, Liu, Yang (Eds.), 2018.
  • 第5章 主题模型——机器的智能摘要利器.
    Wayne Xin Zhao.
    From 大数据智能 互联网时代的机器学习和自然语言处理技术, Editors: Zhiyuan Liu, 2018.
  • Selected papers (A complete list)

  • [OpenCode RecBole] RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms.
    Wayne Xin Zhao, Shanlei Mu, Yupeng Hou, Zihan Lin, Kaiyuan Li, Yushuo Chen, Yujie Lu, Hui Wang, Changxin Tian, Xingyu Pan, Yingqian Min, Zhichao Feng, Xinyan Fan,
    Xu Chen, Pengfei Wang, Wendi Ji, Yaliang Li, Xiaoling Wang and Ji-Rong Wen,
    In arXiv preprint arXiv:2011.01731, 2020.
  • [Dataset KB4Rec] KB4Rec: A Dataset for Linking Knowledge Bases with Recommender Systems.
    Wayne Xin Zhao, Gaole He, Hong-Jian Dou, Jin Huang, Siqi Ouyang, Ji-Rong Wen.
    In CoRR abs/1807.11141, 2019.
  • [Dataset TG-ReDial] Towards Topic-Guided Conversational Recommender System .
    Kun Zhou, Yuanhang Zhou, Wayne Xin Zhao, Xiaoke Wang and Ji-Rong Wen.
    To appear in International Conference on Computational Linguistics, 2020.
  • [SIGKDD'20] Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion.
    Kun Zhou, Wayne Xin Zhao, Shuqing Bian, Yuanhang Zhou, Ji-Rong Wen, Jingsong Yu.
    In ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2020.
  • [CIKM'20] Knowledge-Enhanced Personalized Review Generation with Capsule Graph Neural Network.
    Junyi Li, Siqing Li, Wayne Xin Zhao, Gaole He, Zhicheng Wei, Nicholas Jing Yuan, Ji-Rong Wen.
    In ACM International Conference on Information and Knowledge Management, 2020.
  • [CIKM'20] S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization .
    Kun Zhou, Hui Wang, Wayne Xin Zhao, Yutao Zhu, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, Ji-Rong Wen.
    In ACM International Conference on Information and Knowledge Management, 2020.
  • [CIKM'20s] Revisiting Alternative Experimental Settings for Evaluating Top-N Item Recommendation Algorithms.
    Wayne Xin Zhao, Junhua Chen, Pengfei Wang, Qi Gu, Ji-Rong Wen.
    In ACM International Conference on Information and Knowledge Management, 2020 (short paper).
  • [TKDE'19] Heterogeneous Information Network Embedding for Recommendation.
    Chuan Shi, Binbin Hu, Wayne Xin Zhao, Philip S. Yu
    In IEEE Transactions on Knowledge and Data Engineering, 2019. (Citation: 214)
  • [SIGIR'18] Improving Sequential Recommendation with Knowledge-enhanced Memory Networks.
    Jin Huang, Wayne Xin Zhao, Hongjian Dou, Ji-Rong Wen and Edward Y. Chang.
    In Proceedings of the 35th international ACM SIGIR conference on Research and development in Information Retrieval, 2018. (Citation: 121)
  • [SIGKDD'18] Leveraging Meta-path based Context for Top N recommendation with Co-attention mechanism.
    Binbin Hu, Chuan Shi, Wayne Xin Zhao and Philip S. Yu.
    In ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2018. (Citation: 135)
  • [IEEE TKDE'16] Connecting Social Media to E-Commerce: Cold-Start Product Recommendation On Microblogs.
    Wayne Xin Zhao, Sui Li, Yulan He, Edward Y. Chang, Ji-Rong Wen and Xiaoming Li
    In IEEE Transactions on Knowledge and Data Engineering, 2016. . (Citation: 151)
  • [KDD'14] We Know What You Want to Buy: A Demographic-based System for Product Recommendation On Microblogs.
    Wayne Xin Zhao, Yanwei Guo, Yulan He, Han Jiang, Yuexin Wu and Xiaoming Li.
    In 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2014. (Citation: 148)
  • [ACL'11] Topical keyphrase extraction from Twitter.
    Wayne Xin Zhao, Jing Jiang, Jing He, Yang Song, Palakorn Achanauparp, Ee-Peng Lim and Xiaoming Li
    In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics, 2011. (Citation: 314)
  • [ECIR'11] Comparing Twitter and traditional media using topic models.
    Wayne Xin Zhao, Jing Jiang, Jianshu Weng, Jing He, Ee-Peng Lim, Hongfei Yan and Xiaoming Li
    In Proceedings of the 33rd European Conference on Information Retrieval, 2011. (Citation: 1334)
  • [EMNLP'10] Jointly modeling aspects and opinions with a MaxEnt-LDA hybrid.
    Wayne Xin Zhao, Jing Jiang, Hongfei Yan and Xiaoming Li
    In Proceedings of the Conference on Empirical Methods in Natural Language Processing, 2010. (Citation: 451)