CV

Education

• M.S. in School of Vehicle and Mobility / School of Artifitial Intelligence, Tsinghua University, 2027
  • Embodied AI by Reinforcement Learning, Navigation / Locomotion / Manipulation
  • The Intelligent Driving Lab (iDlab)
• B.S. in School of Computer Science and Engineering, Central South University, 2024
  • Federal Learning and Distributional computing empowered by Reinforcement Learning.
  • TC Lab - Edge Intelligence System Group.

Work experience

• Winter 2023: Research Assistant
  • Institute of Automation, Chinese Academy of Sciences
  • Duties included: Visual sim2real robot navigation

Publications

Transferable Latent-to-Latent Locomotion Policy for Efficient and Versatile Motion Control of Diverse Legged Robots

Ziang Zheng, Guojian Zhan, Bin Shuai, Shengtao Qin, Jiangtao Li, Tao Zhang, Shengbo Li, "Transferable Latent-to-Latent Locomotion Policy for Efficient and Versatile Motion Control of Diverse Legged Robots." arXiv preprint arXiv:2503.17626, 2025.

Canonical Form of Datatic Description in Control Systems

Guojian Zhan, Ziang Zheng, Shengbo Li, "Canonical Form of Datatic Description in Control Systems." arXiv preprint arXiv:2403.01768, 2024.

Adaptive device sampling and deadline determination for cloud-based heterogeneous federated learning

Deyu Zhang, Wang Sun, Zi-Ang Zheng, Wenxin Chen, Shiwen He, "Adaptive device sampling and deadline determination for cloud-based heterogeneous federated learning." Journal of Cloud Computing, 2023.