To the future of Reinforcement learning and embodied AI.
Short Bio
Zheng Ziang is a masterβs student at the Intelligent Driving Lab, School of Vehicle and Mobility, Tsinghua University. He earned his bachelorβs degree in IoT Engineering from the School of Computer Science, Central South University, graduating first in his class. His research interests include reinforcement learning, imitation learning, embodied AI, and autonomous driving, with strong expertise in algorithm development and model training. Skilled in Linux environments and embedded systems, he has contributed to impactful research projects, published academic papers, and submitted work to top-tier conferences. With a passion for solving challenging research problems, Zheng thrives in teamwork and interdisciplinary innovation. His achievements include numerous awards, such as national scholarships and honors in provincial-level competitions.
π Welcome to @interval-packageβs Space

π About Me
π Current | Master's Student at Tsinghua University |
π Education | Bachelor's Degree from Central South University |
π¬ Research Interests
- π€ Reinforcement Learning
- ποΈ Autonomous Driving
- π‘ Robotics & AI -> Embodied AI
π€ Letβs Collaborate!
π‘ Iβm open to collaborations in various fields, especially Reinforcement Learning and Embodied AI.
If youβre working on cutting-edge AI or have an interesting research project, feel free to reach out!
π’ We Are Hiring Interns! π―
π We are looking for passionate interns to join our research on:
β
Legged Robot Locomotion
β
Dataset-Constrained Reinforcement Learning
β
Autonomous Systems & Control
π₯ If you are interested in robotics, deep learning, or control systems, weβd love to have you onboard!
π More Details
π Visit my personal website π Zaterval Space
π© Contact Me:
- Email: ziang_zheng@foxmail.com
- GitHub Discussions & Comments: Always welcome!
π¬ Looking forward to collaborating with you! π
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.