Research Interests

My general interests include artificial intelligence, deep learning, reinforcement learning, and natural language processing. I am particularly interested in the following fields:

  • Deep Learning for Natural Language Processing
  • Reinforcement Learning for Natural Language Processing
  • Language Generation or Text Generation (long text, story, data-to-text etc.)
  • Question Answering, Reading Comprehension, Dialogue and Conversation Systems
  • Semantic Matching and Reasoning with Logics or Knowledge
  • Sentiment Understanding, Sentiment/Emotion Analysis, Opinion Mining
  • NLP Applications, such as Summarization, Extraction, etc.

Research Group: Conversational AI (CoAI), see the slides of the group introduction.

My page at DBLP and Google Scholar.

My recent work on Emotional Chatting Machine was reported by 参考消息,新华社,MIT Technology Review, the Guardian, and NIVIDIA;

Story Ending Generation was reported by TechXplore .

My paper "Commonsense Knowledge Aware Conversation Generation with Graph Attention" was awarded as one of 7 Distinguished papers by IJCAI-ECAI 2018 (out of 710 accepted papers, from 3470 submissions).

My paper "Linguistically Regularized LSTMs for Sentiment Classification" was voted as Top 15 NLP papers in 2016 by PaperWeekly; and "Reinforcement Learning for Relation Classification from Noisy Data" was voted as Top 10 NLP papers in 2017 by PaperWeekly.

Selected Honors and Rewards

  • 2019, MSRA Collaborative Research Award
  • 2018, Hanvon Youngth Innovation Award
  • 2018, CCL Best Demo Award
  • 2018, Distinguished paper in IJCAI-ECAI 2018
  • 2017, Winner of Short Text Conversation Challenge II at NTCIR
  • 2016, Outstanding Samsung Collaborator Award
  • 2015, NLPCC Best Paper
  • 2013, Beijing Young Elite Award
  • 2008, Excellent Employee of the Department
  • 2006, Excellent PhD graduate of the University
  • 2006, Excellent PhD Dissertation of the University

Selected Services