About Me: Weizhi Ma (马为之)

I am now a Postdoctoral Research Fellow in THUIR group, Department of Computer Science and Technology in Tsinghua University, Beijing, China. My major research interests are in Recommender System, User Modeling, and Information Retrieval.

I got my PhD degree from Tsinghua University in 2019, supervised by Prof. Shaoping Ma, Prof. Min Zhang, and Prof. Yiqun Liu, I was a Visiting Research Fellow from Feb. 2018 to Jun. 2018 at INK Research Lab, University of Southern California, supervised by Prof. Xiang Ren. I have visited University College London for two month, supervised by Prof. Jun Wang and visited NExT Center for three month, supervised by Prof. Chua Tat-seng.

Recent Professional Activities

  • I serve as an assitant for ACM TOIS.
  • I serve as a web master for the virtual conference of SIGIR 2020.
  • I serve as PC member of SIGIR 2018, 2019, 2020, theWebConf 2020, CIKM 2020, COLING 2020, ICTIR 2020, WSDM 2021, AAAI 2021, IJCAI 2021.
  • I serve as a reviewer for TOIS, TNNLS, FCS, TIST, and JCST.

Foundations

  • I am funded by National Natural Science Foundation of China in 2020.
  • I am funded by China Postdoctoral Science Foundation in 2020.
  • I am supported by Shuimu Tsinghua Scholar Program in 2019.

Selected Publications

IN THE YEAR OF 2020:

  • Shaoyun Shi, Hanxiong Chen, Weizhi Ma, Jiaxin Mao, Min Zhang and Yongfeng Zhang. Neural Logical Prediction (CIKM 2020).
  • Xiangsheng Li, Maarten de Rijke, Yiqun Liu, Jiaxin Mao, Weizhi Ma, Min Zhang and Shaoping Ma. Learning Better Representations for Neural Information Retrieval with Graph Information (CIKM 2020).
  • Shaoyun Shi, Weizhi Ma, Min Zhang, Yongfeng Zhang, Xinxing Yu, Houzhi Shan, Yiqun Liu and Shaoping Ma. Beyond User Embedding Matrix: Learning to Hash for Modeling Large-Scale Users in Recommendation (SIGIR 2020).
  • Chenyang Wang, Min Zhang, Weizhi Ma, Yiqun Liu and Shaoping Ma. Make It a CHORUS: Context- and Knowledge-aware Item Modeling for Recommendation (SIGIR 2020).
  • Chong Chen, Min Zhang, Weizhi Ma, Yiqun Liu and Shaoping Ma. Jointly Non-Sampling Learning for Knowledge Graph Enhanced Recommendation (SIGIR 2020).
  • Fan Zhang, Jiaxin Mao, Yiqun Liu, Weizhi Ma, Min Zhang and Shaoping Ma. Cascade or Recency: Constructing Better Evaluation Metrics for Session Search (SIGIR 2020).
  • Fan Zhang, Jiaxin Mao, Yiqun Liu, Xiaohui Xie, Weizhi Ma, Min Zhang and Shaoping Ma. Models Versus Satisfaction: Towards a Better Understanding of Evaluation Metrics (SIGIR 2020, Best paper honorable mention).
  • Yunqiu Shao, Jiaxin Mao, Yiqun Liu, Weizhi Ma Ken Satoh, Min Zhang, and Shaoping Ma. BERT-PLI: Modeling Paragraph-Level Interactions for Legal Case Retrieval (IJCAI 2020).
  • Chong Chen, Min Zhang, Weizhi Ma, Yiqun Liu, and Shaoping Ma. Efficient Non-Sampling Factorization Machines for Optimal Context-Aware Recommendation (theWebConf 2020).
  • Chong Chen, Min Zhang, Yongfeng Zhang, Weizhi Ma, Yiqun Liu, Shaoping Ma. Efficient Heterogeneous Collaborative Filtering without Negative Sampling for Recommendation (AAAI 2020).
  • Zhen Wang, Weizhi Ma, Min Zhang, Weipeng Chen, Jingfang Xu, Yiqun Liu, and Shaoping Ma. Incorporating Knowledge and Content Information to Boost News Recommendation (NLPCC 2020).
  • Bin Hao, Min Zhang, Weizhi Ma, Shaoyun Shi, Xinxing Yu, Houzhi Shan, Yiqun Liu, and Shaoping Ma. Negative Feedback Aware Hybrid Sequential Neural Recommendation Model (NLPCC 2020).

IN THE YEAR OF 2019:

  • Weizhi Ma, Min Zhang, Yue Cao, Woojeong Jin, Chenyang Wang, Yiqun Liu, Shaoping Ma, and Xiang Ren. Jointly Learning Explainable Rules for Recommen- dation with Knowledge Graph (theWebConf 2019).
  • Chenyang Wang, Min Zhang, Weizhi Ma, Yiqun Liu, and Shaoping Ma. Model- ing Item-Specific Temporal Dynamics of Repeat Consumption for Recommender Systems (theWebConf 2019).
  • Hongyu Lu, Min Zhang, Weizhi Ma, Yunqiu Shao, Yiqun Liu, and Shaoping Ma. Quality Effects on User Preferences and Behaviors in Mobile News Streaming (theWebConf 2019).
  • Hongyu Lu, Min Zhang, Weizhi Ma, Ce Wang, Feng Xia, Yiqun Liu, Leyu Lin, and Shaoping Ma. Effects of User Negative Experience in Mobile News Streaming (SIGIR 2019).
  • Chong Chen, Min Zhang, Chenyang Wang, Weizhi Ma, Minming Li, Yiqun Liu, and Shaoping Ma. An Efficient Adaptive Transfer Neural Network for Social-aware Recommendation (SIGIR 2019).
  • Weizhi Ma, Zhen Wang, Min Zhang, Jing Qian, Huanbo Luan, Yiqun Liu, and Shaoping Ma. Stance Influences Your Thoughts: Psychology-Inspired Social Media Analytics (NLPCC 2019)

IN THE YEAR OF 2018:

  • Weizhi Ma, Min Zhang, Chenyang Wang, Cheng Luo, Yiqun Liu, and Shaoping Ma. Your Tweets Reveal What You Like: Introducing Cross-media Content Information into Multi-domain Recommendation (IJCAI 2018).

IN THE YEAR OF 2017:

  • Bin Liu, Min Zhang, Weizhi Ma, Xin Li, Yiqun Liu, and Shaoping Ma. A Two- step Information Accumulation Strategy for Learning from Highly Imbalanced Data (CIKM 2017).
  • Min Zhang, Biyuan Ding, Weizhi Ma, Yunzhi Tan, Yiqun Liu, and Shaoping Ma. Hybrid recommendation approach enhanced by deep learning (Journal of Tsinghua University (Science and Technology)).

IN THE YEAR OF 2016 and Before:

  • Weizhi Ma, Min Zhang, Yiqun Liu, and Shaoping Ma. Multi-Grained Role La- beling Based on Multi-Modality Information for Real Customer Service Telephone Conversation (IJCAI 2016).
  • Bin Hao, Min Zhang, Weizhi Ma, Jiashen Sun, Yiqun Liu, Shaoping Ma, Xuan Zhu, and Hengliang Luo. Finding the True Crowds: User Filtering in Microblogs (NLPCC 2016).
  • Weizhi Ma, Min Zhang, Yiqun Liu, Shaoping Ma, and Linfeng Chen. Beyond Your Interests: Exploring the Information Behind User Tags (NLPCC 2015).