I am currently a PhD candidate at UCLA. My research mainly focuses on deep representation learning for observable and latent discrete structures (e.g. symbols, graphs), and its applications (e.g. understanding human/user behavior and language, model compression and speedup, knowledge engine and reasoning). I am also interested in generative models, such as generative adversarial networks, variational models, and Bayesian methods. Beyond my own research, I am awalys interested on other topics of artificial intelligence in general. My advisor is Prof. Yizhou Sun. You can reach me at tingchen at cs.ucla.edu, or find me in LinkedIn, Twitter and Weibo.
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Education
  • University of California, Los Angeles (Ph.D.), 2016 - Present

  • Northeastern University (Ph.D., transfered), 2013 - 2016

  • Beijing University of Posts and Telecommunications (B.Eng.), 2009 - 2013

Experiences
  • Google Brain, 2018 summer

  • Google AI, 2018 spring

  • Google, 2017 summer

  • Yahoo! Research, 2016 summer

  • NEC Labs America, 2015,2014 summer

Selected Publications (Full list in Google Scholar)