I am an associate professor at Institute of Automation, Chinese Academy of Sciences. I was a postdoc associate at Cornell University, working with Prof. Fei Wang. Prior to Cornell, I had a wonderful year at Noah’s Ark Lab, Huawei. I got my Ph.D. from Institute of Automation, Chinese Academy of Sciences.
I am broadly interested in machine learning, health care, and natural language processing. Especially, I am excited about solving problems on knowledge integration, information scarcity, and environment shift from perspectives of theory and application. My recent research focuses on algorithms in the directions of Reinforcement Learning and Deep Generative Learning.
03/2020: Our work is in Top 100 Scientific Reports neuroscience papers in 2019.
11/2019: AMIA Year-in-Review Highlight Paper, 2019 Annual Symposium.(Nov 16, Washington, D.C.)
8/2019: Abstract accepted to Frontier of AI-Assisted Care (FAC)
Scientific Symposium. (Sep 18-19, Stanford, CA)
4/2019: Paper accepted to KDD 2019. (Aug 4, Anchorage, AK)
4/2019: Call for Participation: ICIG Special Session on Visual Recognition in the Wild. (Aug 23, Beijing, China)
2/2019: Our work Patient Subtyping with Recurrent Neural Networks identified as a critical advance in the field of Neuroscience and
12/2018: Paper accepted to Nature Scientific Reports.
9/2018: Three papers presented at Machine Learning in Medicine Symposium. (Sep 27, Ithaca, NY )
8/2018: Paper accepted to ICDM 2018. (Nov 17, Singapore)
7/2018: Paper accepted to Deep Learning Day. Held at KDD 2018. (Aug 19, London, UK)
6/2018: Two abstracts accepted to International Congress 2018 of Parkinson's Disease and Movement Disorders. (Oct 5, Hong Kong, China)
6/2018: Paper accepted to AMIA 2018 Annual Symposium. (Nov 3, San Francisco, CA)
5/2018: Ran the workshop on Data Mining for Medicine and Healthcare. Held at SDM 2018. (May 5, San Diego, CA)
10/2017: Won NeurIPS 2017 Competition on Classifying Clinically Actionable Genetic Mutations. Held at NeurIPS 2017. (Dec 4, Long Beach, CA)