Zhengbao Jiang (江政宝)

I am a Ph.D. student at CMU LTI. I am fortunate to be advised by Prof. Graham Neubig. I focus on Natural Language Processing, Information Retrieval, and Machine Learning.

I obtained my master (2018) and bachelor (2015) degree from Renmin University of China, where I worked with Prof. Zhicheng Dou and Ji-Rong Wen on various IR/NLP problems.

Experience

  • 2017.10 - 2018.3, Research Intern, AI Labs, Alibaba Group
    Mentor: Zaiqing Nie
  • 2017.7 - 2017.10, Research Intern, Big Data Mining Group, Microsoft Research Asia
    Mentor: Zaiqing Nie
  • 2015.3 - 2018.6, Research Assistant, Beijing Key Lab of Big Data Management and Analysis Methods
    Advisor: Zhicheng Dou, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen
  • 2014.2 - 2014.12, Software Engineer, OfferCalendar (startup)

Publications

  1. Improving Open Information Extraction via Iterative Rank-Aware Learning [PDF][Code]
    Zhengbao Jiang, Pengcheng Yin, Graham Neubig
    ACL’19 (short paper)
  2. Personalizing Search Results Using Hierarchical RNN with Query-aware Attention [PDF]
    Songwei Ge, Zhicheng Dou, Zhengbao Jiang, Jian-Yun Nie, Ji-Rong Wen
    CIKM’18
  3. Supervised Search Result Diversification via Subtopic Attention [PDF]
    Zhengbao Jiang, Zhicheng Dou, Wayne Xin Zhao, Jian-Yun Nie, Ming Yue, Ji-Rong Wen
    TKDE’18
  4. Learning to Diversify Search Results via Subtopic Attention [PDF][Slide][Code]
    Zhengbao Jiang, Ji-Rong Wen, Zhicheng Dou, Wayne Xin Zhao, Jian-Yun Nie, Ming Yue
    SIGIR’17
  5. Generating Query Facets Using Knowledge Bases [PDF]
    Zhengbao Jiang, Zhicheng Dou, Ji-Rong Wen
    TKDE’17
  6. Automatically Mining Facets for Queries from Their Search Results [PDF]
    Zhicheng Dou, Zhengbao Jiang, Sha Hu, Ji-Rong Wen, Ruihua Song
    TKDE’16