I am on the academic job market this year, applying for the assistant professor position. Please email me if you have any openings. Thanks you!

I am a postdoctoral research fellow at Harvard University (Harvard Medical School & BWH), working on medical natural language processing. I got my Ph.D. degree (deep learning for NLP) from Singapore University of Technology and Design (SUTD) with professor Yue Zhang. I was a visiting graduate student at University of Oxford .

My research interests are mainly focused on natural language processing (NLP) with machine learning approaches (especially deep learning models), as well as artificial intelligence (AI) in medicine and healthcare. I won the best paper at COLING 2018, best demo paper nomination at ACL 2018, and ISTD Best Dissertation Award. I served as the program committee of top-tier conferences: ACL/AAAI/IJCAI/EMNLP/NAACL/AMIA, I was selected as ACL 2018 outstanding reviewer, COLING 2018 outstanding reviewer, and NAACL 2019 Kudos reviewer. I am the developer of several popular NLP tools: NCRF++ and YEDDA, which attracted more than 2500 stars at GitHub. Here is my detailed CV.

I love badminton and swimming (Silver medal in Men's 100 metres freestyle at Chongqing University). I am in twitter.

Education and Experience


  • 2019-Mar: Our journal paper "From Gensis to Creole language: Transfer Learning for Singlish Universal Dependencies Parsing and POS Tagging" is accepted by TALLIP.
  • 2019-Feb: Our short paper "Subword Encoding in Lattice LSTM for Chinese Word Segmentation" is accepted by NAACL 2019.
  • 2019-Feb: Glad to receive the Nvidia GPU Grant! Now I have my own weapon : )
  • New: 2018-Dec: I have joined Harvard University (HMS & BWH) as a Postdoc fellow, working on medical NLP.
  • 2018-Oct: Glad to receive the ISTD Best Dissertation Award!
  • 2018-Sep: I graduate! Pic
  • 2018-Sep: Glad to be ranked as Top 3 Python GitHub developers in Singapore by git-awards.
  • 2018-Aug: Honored to be recognized as the Outstanding Reviewer at ACL 2018 and COLING 2018.
  • 2018-Jul: Our YEDDA system has won the Best Demonstration Paper Nomination in ACL 2018.
  • 2018-Jun: Our paper "Design Challenges and Misconceptions in Neural Sequence Labeling" receives COLING 2018 Best Paper Award!

Academic Service and Teaching Experience

  • 2020: Program Committee/Reviewer of AAAI
  • 2019: Program Committee/Reviewer of ACL, EMNLP, AAAI, AMIA, NAACL(kudos reviewer), NAACL (demo), IJCAI, CoNLL, CCL, NLPCC, PACLIC
  • 2018: Program Committee/Reviewer of ACL(outstanding reviewer), COLING(outstanding reviewer), EMNLP, PACLIC, IALP, NLPCC
  • 2017: Program Committee/Reviewer of AAAI, IWPT, IJCNLP, IALP
  • 2016: Program Committee/Reviewer of NLPCC, CLP
  • Journal Reviewer: International Journal of Medical Informatics, Neurocomputing, Artificial Intelligence Review, IEEE Transactions on BIG DATA, TALLIP, Computer Speech & Language
  • 2016: Teaching Assistant for Computer System Engineering, with Prof. David Yau
  • 2015: Teaching Assistant for Machine Learning, with Prof. Alexander Binder and Prof. Wei Lu


  • NCRF++ : A Neural Sequence Labeling Framework Based on PyTorch. (#star > 1200)
  • LatticeLSTM : Character based Chinese NER with Lattice LSTM. (#star > 700)
  • YEDDA : A Lightweight Collaborative Text Span Annotation Tool. (#star > 400)

Publication (* equal contribution)

2019 2018 2017 2016 2015 2014 2013