Fangchen Liu

M.S. at UC San Diego

About Me

I am a first-year master student in Computer Science Department of UC San Diego, advised by Prof. Hao Su. Before that, I received the honored B.S. in Computer Science from Peking University in 2018, and worked with Prof. Yizhou Wang and Dr. Bo Xin on computer vision and reinforcement learning problems.

My research focuses on building a structural model of environment, using tools from reinforcement learning and 3D deep learning.

Education

Computer Science and Engineering, University of California, San Diego

Sep. 2018 - Present

Master of Science

Department of Computer Science, Peking University

Sep. 2014 - Jul. 2018

Bachelor of Science

Publications

(* indicates equal contribution)

  • Z. Huang*, F. Liu*, H. Su.
    Mapping State Space using Landmarks for Universal Goal Reaching
    In Submission, 2019.
  • B. Sun, N. Tsai, F. Liu, R. Yu, H. Su.
    Adversarial Defense by Stratified Convolutional Sparse Coding
    Accepted to CVPR, 2019.
  • X. Kong, F. Liu*, B. Xin*, Y. Wang.
    Effective Master-Slave Communication On A Multi-Agent Deep Reinforcement Learning System.
    Accepted to Hierarchical Reinforcement Learning Workshop at NIPS, 2017.
  • X. Kong, F. Liu*, B. Xin*, Y. Wang.
    Revisiting the Master-slave Architecture in Multi-agent Deep Reinforcement Learning. ArXiv: 1712.07305
  • F. Yu, W. Xian, Y. Chen, F. Liu, M. Liao, V. Madhavan, T. Darrell.
    A Driving Video Database with Scalable Annotation Tooling. ArXiv: 1805.04687
  • Experience

  • Microsoft Research Asia
    Research Intern, Visual Computing Group
    Sep. 2017 - Mar. 2018, Beijing, China
  • SenseTime Group Limited
    Research Intern, Face Detection and Recognition Group
    Sep. 2016 - Apr. 2017, Beijing, China
    Worked on face set recognition and memory networks. Some results were integrated into the company's deep learning framework and products.
  • Fangchen Liu All rights reserved. © 2018