About me


  • I am a PhD student at Heinz College, Carnegie Mellon University. Here is my Curriculum Vitae.
  • My research interests lie in deep learning and representation learning, as well as their applications in natural language processing, recommender systems. My research interests also include overcoming catastrophic forgetting in neural nets. If you are interested in working or discussing interesting research topics with me, please feel free to drop me an email.
  • My research is supported by CMU Presidential Fellowship.


[June 17, 2019] Started my internship as an applied scientist@Amazon Seattle.
[June 08, 2019] One paper titled “Continual Rare-Class Recognition with Emerging Novel Subclasses” was accepted to ECML PKDD 2019 as an oral presentation.
[November 04, 2018] I received CMU Presidential Fellowship. Thanks PwC Risk and Regulatory Services Innovation Center for supporting!
[November 04, 2018] A paper titled “Large-scale Interactive Recommendation with Tree-structured Policy Gradient” gets accepted to AAAI 2019.
[November 08, 2017] A paper titled “Neural Link Prediction over Aligned Networks” was accepted to AAAI 2018.
[October 29, 2017] I was awarded Rongchang Science and Innovation Scholarship (Nomination) (Top 30 in SJTU).
[August 13-19, 2017] I attended the 23rd SIGKDD Conference on Knowledge Discovery and Data Mining held in Halifax, Nova Scotia, Canada and presented our poster.
[July 22 - 24, 2017] I attended KDD China Summer School held in Chengdu, China and presented our poster.
[June 29, 2017] I attend SMP-KDD China and gave a talk in Alibaba Group Corporate Campus, Hangzhou, China.