I am a postdoc at Weill Cornell Medicine, Cornell University and a Boehringer Ingelheim Fellowship. Prior to Cornell, I got my Ph.D. in Computer Science from Institute of Automation, Chinese Academy of Sciences. I am broadly interested in machine learning, healthcare, recommender systems, and natural language processing. My recent research focus in the direction of deep learning leveraging graph and sequential structures (MemGCN), and meta-learning with limited resources (MetaPred). More recently, I am especially excited about "small" data modeling from both perspectives of algorithm and application.
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)
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)