Welcome to Le Fang's Homepage!

The domain "fangleai.com" (/ˈfaŋgəl eɪ ˈaɪ/) is interpreted as fangle (newly fashioned techniques, coincidently also my name) in artificial intelligence.

PhD Candidate, Department of Computer Science & Engineering, University at Buffalo-SUNY

Office location: 301b, Davis Hall

Email: lefang at buffalo.edu


SHORT BIO

I am currently a PhD candidate working with Dr. Changyou Chen and Dr. Wen Dong. My CV can be found here.

My research interest mainly covers deep learning & bayesian learning (major), and deep reinforcement learning (minor). My interested application area is mainly Natural Language Processing (NLP). Specific topics I have been working on include:

  • Deep generative models such as VAE and GAN
  • Large-scale Bayesian sampling and variational inference
  • Deep Q learning

News

  • 08/23/2019 I got a reseach intern position about conditional text generation from JD digits AI lab at Silicon Valley, CA.
  • 08/16/2019 I have finished my summer intern in Seattle ads ranking team of Facebook. Thanks to my mentors and friends!
  • 08/13/2019 Our paper "Implicit Deep Latent Variable Models for Text Generation" gets accepted into EMNLP 2019! [arxiv] [Blog] [Poster] [Github]
  • 09/01/2018 This website is released.