CV

Education

• B.S. in Information and Computing Science from Wuhan University of Technology, Wuhan, China, 2021.
• M.S. in Artifical Intelligence from NanKai University, Tianjin, China, 2024. (expected)

Work experience

• 2022-09-13~2023-03-13: Reinforcement Learning Algorithm Intern
  • inspir.ai
  • Research direction: Motion Control, Text2Motion, Physical-Based Character Animation.
• 2021-07-01~2021-09-03: Reinforcement Learning Algorithm Intern
  • Academy for Advanced Interdisciplinary Studies, Peking University
  • Research direction: Offline Reinforcement Learning
• 2021-01-04~2021-05-11: Machine Learning Algorithm Intern
  • Horizon Robotics
  • Research direction: Behavior Prediction in Self-Driving System.
• 2020-08-17~2020-09-07: ByteDance ByteCamp
  • ByteDance
  • Research direction: Recommendation Algorithm.
• 2019-07-19~2019-08-15: Reinforcement Learning Algorithm Intern
  • LAMDA, NanJing University
  • Research direction: Reinforcement Learning in Self-Driving System .

Award

• Gongneng Scholarship of Nankai University, 2022.
• Gongneng Scholarship of Nankai University, 2021.
• Excellent Graduate of Wuhan University of Technology, 2021.
• First-Class Academic Scholarship of Wuhan University of Technology, 2020.
• Meritorious Winner in the Mathematical Contest in Modeling, 2019.

Publications

Discriminative deep asymmetric supervised hashing for cross-modal retrieval

Qiang H, Wan Y, Liu Z, et al. Discriminative deep asymmetric supervised hashing for cross-modal retrieval[J]. Knowledge-Based Systems, 2020, 204: 106188.

Multi-robot Cooperation Learning Based on Powell Deep Deterministic Policy Gradient

Li Z, Xiao C, Liu Z, et al. Multi-robot Cooperation Learning Based on Powell Deep Deterministic Policy Gradient[C]//International Conference on Intelligent Robotics and Applications. Springer, Cham, 2022: 77-87.

Celebrating Robustness in Efficient Off-Policy Meta-Reinforcement Learning

Liu Z, Li Z, Cao Q, et al. Celebrating Robustness in Efficient Off-Policy Meta-Reinforcement Learning[C]//2022 IEEE International Conference on Real-time Computing and Robotics (RCAR). IEEE, 2022: 499-504.

TimeChamber: A Massively Parallel Large Scale Self-Play Framework

Huang Ziming, Ziyi Liu, Wu Yutong, Flood Sung. TimeChamber: A Massively Parallel Large Scale Self-Play Framework. https://github.com/inspirai/TimeChamber