LIU, Guiliang

Assistant Professor

Education Background

Ph.D. in Computer Science, Simon Fraser University, 2020
B.S. in Computer Science & Engineering, South China University of Technology, 2016

 

Research Field
Safe Reinforcement Learning, Inverse Reinforcement Learning and Embodied AI
Personal Website
Email
liuguiliang@cuhk.edu.cn
Office
Room 611, Teaching Complex C
Biography

Guiliang Liu has been a Postdoctoral Fellow at the University of Waterloo, Canada, and an affiliated researcher at Vector Institute, Canada (2020-2022). He obtained a Ph.D. degree from Simon Fraser University, Canada in 2020, and a Bachelor's degree from the South China University of Technology in 2016. He has been the core member of research projects with the machine learning group at the University of Toronto, the cognitive computing lab of Baidu Research, Huawei Noah Lab. He received a MITACS research training award Canada and a national scholarship from China. He has published more than 10 papers at top computer science conferences, including NeurIPS, WWW, and IJCAI. He served as the reviewer or pc member at the well-recognized AI conferences, such as NeurIPS, ICML, and ICLR.

Academic Publications

1. Guiliang Liu, Ashutosh Adhikari, Amir-massoud Farahmand, Pascal Poupart. Learning Object-Oriented Dynamics for Planning from Text. International Conference on Learning Representations (ICLR) 2022

2. Yudong Luo, Guiliang Liu, Haonan Duan, Oliver Schulte, Pascal Poupart. Distributional Reinforcement Learning with Monotonic Splines. International Conference on Learning Representations (ICLR) 2022

3. Guiliang Liu, Xiangyu Sun, Oliver Schulte, Pascal Poupart. Learning Tree Interpretation from Object Representation for Deep Reinforcement Learning. Advances in Neural Information Processing Systems (NeurIPS) 2021.

4. Guiliang Liu, Oliver Schulte, Pascal Poupart, Mike Rudd, Mehrsan Javan. Learning Agent Representations for Ice Hockey. Advances in Neural Information Processing Systems (NeurIPS) 2020.

5. Guiliang Liu, Xu Li, Jiakang Wang, Mingming Sun, Ping Li. Extracting Knowledge from Web Text with Monte Carlo Tree Search. The ACM Web Conference (WWW) 2020.

6. Xiangyu Sun, Jack Davis, Oliver Schulte, Guiliang Liu. Cracking the Black Box: Distilling Deep Sports Analytics. SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2020.