I am a third-year Ph.D. at UC Berkeley advised by Prof. Pieter Abbeel. Prior to that, I obtained my M.S. from UC San Diego working with Prof. Hao Su, and B.S. from Peking University. I'm generally interested in machine learning and robotics.
Chain-of-Thought Predictive Control
Zhiwei Jia, Fangchen Liu, Vineet Thumuiluri, Linghao Chen, Zhiao Huang, Hao Su
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The Wisdom of Hindsight Makes Language Models Better Instruction Followers
Tianjun Zhang*, Fangchen Liu*,
Justin Wong, Pieter Abbeel, Joseph E. Gonzalez.
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Masked Autoencoding for Scalable and Generalizable Decision Making
Fangchen Liu*,
Hao Liu*, Aditya Grover, Pieter Abbeel.
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Masked World Models for Visual Control
Younggyo Seo, Danijar Hafner, Hao Liu,
Fangchen Liu,
Stephen James, Kimin Lee, Pieter Abbeel.
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HARP: Autoregressive Latent Video Prediction with High-Fidelity Image Generator
Younggyo Seo, Kimin Lee,
Fangchen Liu,
Stephen James, Pieter Abbeel.
ICIP 2022
Paper /
Code
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Towards More Generalizable One-shot Visual Imitation Learning
Zhao Mandi*,
Fangchen Liu*,
Kimin Lee, Pieter Abbeel.
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Adversarial Defense by Stratified Convolutional Sparse Coding
Bo Sun,
Nian-Tsuan Tsai,
Fangchen Liu,
Ronald Yu,
Hao Su
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Revisiting the Master-Slave Architecture in Multi-Agent Deep Reinforcement Learning
Xiangyu Kong,
Fangchen Liu*,
Bo Xin*,
Yizhou Wang
NIPS 2017 (oral), HRL Workshop
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University of California, Berkeley
Aug. 2020 - PresentPh.D. in Computer Science
University of California, San Diego
Sep. 2018 - Mar. 2020M.S. in Computer Science
Peking University
Sep. 2014 - Jul. 2018B.S. in Computer Science (Summa Cum Laude)