About
I am a Professor at the School of Automation, Beijing Institute of Technology, affiliated with the National Key Laboratory of Autonomous Intelligent Unmanned Systems. My research interests span distributed optimization, noncooperative game theory, and task & motion planning of autonomous systems.
I received my Ph.D. in Mechanical Engineering from Texas Tech University (USA, 2015) and previously held postdoctoral positions at the Chinese Academy of Sciences and Beijing Institute of Technology.
Distributed Optimization and Intelligent Decision-Making for Multi-Agent Cooperative Exploration in Complex Open Environments — NSFC, 2026–2030, Co-PI
Education & Career
Postdoc Researcher, School of Automation, Beijing Institute of Technology
Postdoc Researcher, Academy of Mathematics and Systems Science, Chinese Academy of Sciences
Ph.D. in Mechanical Engineering, Texas Tech University, Lubbock, USA
M.Sc. in Control Science and Engineering, Harbin Institute of Technology
B.Sc. in Control Science and Engineering, Harbin Institute of Technology
Research Interests
🔬 Optimizaiton, game theory, and AI for multi-agent systems
- Distributed Optimization Algorithms
- Game Theory and Equilibrium Seeking
- Solving Matrix Equations and Inequalities
🤖 Application of these methods for unmanned systems
- Motion planning of autonomous vehicles and robots
- Modeling and intelligent control of robotic systems
- AI planning for decision makeing problems under uncertainty
📘 Textbooks & Monographs
- Xianlin Zeng, Yiguang Hong, Hao Fang, Distributed Optimization and Control of Multi-agent System, Beijing Institute of Technology Press, 2023 (in Chinese);(曾宪琳,洪奕光,方浩,多智能体系统的分布式非光滑优化控制,北京理工大学出版社,2023)
- Hao Fang, Xianlin Zeng, Qingkai Yang, Jie Chen, Autonomous Intelligent Unmanned System, Tsinghua University Press, 2023 (in Chinese);(方浩,曾宪琳,杨庆凯,陈杰,自主智能无人系统,清华大学出版社,2025)
Selected Publications
Distributed & Stochastic Optimization
- Jie Hou, X. Zeng, S. Cui, J. Sun. Stochastic Frank-Wolfe Algorithm for Constrained Bilevel Optimization. IEEE Trans. Signal Processing, vol. 73, 2025.
- Jie Hou, X. Zeng, S. Cui, J. Sun. Distributed Stochastic Frank-Wolfe for Constrained Composite Minimization. IEEE Trans. Automatic Control, Dec 2025.
- Xia Jiang, X. Zeng, L. Xie, J. Sun, J. Chen. Variance-reduced Reshuffling Gradient Descent for Nonconvex Optimization. Automatica, 2024.
- Xia Jiang, X. Zeng, L. Xie, J. Sun, J. Chen. Distributed stochastic projection-free solver. IEEE Trans. Automatic Control, 2024.
- Jie Hou, X. Zeng, G. Wang, C. Chen, J. Sun. Distributed Frank-Wolfe Solver for Stochastic Optimization with Coupled Inequality Constraints. IEEE Trans. Neural Networks and Learning Systems, 2024.
Motion Planning & Control
- X. Zhang, Q. Yang, X. Zeng, H. Fang, J. Chen. Cooperative Shape-Translation Estimation and Control. IEEE Trans. Automatic Control, 2025.
- Z. Cheng, X. Zeng, H. Fang, G. Wang, L. Dou. Hierarchical MPC-based Motion Planning. Unmanned Systems, 2023.
- C. Wu, H. Fang, X. Zeng, Q. Yang, Y. Wei, J. Chen. Distributed Continuous-Time Algorithm for Time-Varying Optimization. IEEE Trans. Automatic Control, vol. 68, 2023.
- X. Zeng. Hybrid Networked Control for Cyber-Physical Network Systems. Ph.D. Dissertation, Texas Tech University, 2015.
Noncooperative Games
- K. Zhu, X. Zeng. Almost Sure Convergence to Approximate Nash Equilibrium in Zero-Sum Extensive-Form Games. IEEE ICCA, 2024.
- X. Zeng, L. Dou, J. Chen. Accelerated First-Order Continuous-Time Algorithm for Bilinear Saddle Point Problem. IFAC World Congress, 2020.
- X. Zeng, J. Chen, S. Liang, Y. Hong. Generalized Nash equilibrium seeking for distributed nonsmooth multi-cluster game. Automatica, vol. 103, 2019.
Distributed Matrix Equations & Continuous-Time Optimization
- X. Jiang, X. Zeng, J. Sun, J. Chen. Distributed algorithms for semi-definite programming. IEEE Trans. Automatic Control, vol. 68, 2023.
- X. Zeng, J. Chen, Y. Hong. Distributed Optimization Design of Iterative Refinement for Algebraic Riccati Equations. IEEE Trans. SMC: Systems, 2022.
- W. Li, X. Zeng, L. Pavel. Primal-dual Accelerated Mirror-Descent Method for Constrained Bilinear Saddle-Point Problems. IEEE Trans. Automatic Control, Feb 2026.
- X. Zeng, P. Yi, Y. Hong, L. Xie. Distributed continuous-time algorithms for nonsmooth extended monotropic optimization. SIAM J. Control and Optimization, 2018.
Teaching
| 2025–now | Intelligent Coordination of Multi-Robot Systems (Undergrad) |
| 2025–now | Fundamentals of Autonomous Intelligent Systems (Graduate) |
| 2023–now | Scientific Writing and Communication (Undergrad) |
| 2023–now | Fundamentals of Swarm Intelligence and Adversarial Games (Graduate) |
| 2021–2024 | Fundamentals of Intelligent Control (Undergrad) |
| 2020–2022 | Optimization Theory and Methods (Graduate) |
Current Graduate Students
Ph.D. Students 8
Algorithms for noncooperative games
Planning & control of autonomous robots
Distributed optimization for multiple robots
Algorithms for noncooperative games
Task & path planning of robots
TBA (2025–)
TBA (2025–)
TBA (2025–)
Master Students 3 8
Game theory
TBA
Game theory
Motion planning of vehicles
Time-varying optimization
Motion planning of vehicles
Task planning of robots
Path planning of robots
TBA
TBA
TBA
Student Alumni
| 2019–2022 | Jiebang Xing M.Sc. | Pursuit evasion games via DRL |
| 2019–2022 | Junchao Zhang M.Eng. | Pursuing strategy via model-free RL |
| 2020–2023 | Zijun Cheng M.Eng. | Optimization-based motion planning |
| 2020–2023 | Kai Wang M.Eng. | Interpretable intention recognition & trajectory prediction |
| 2021–2024 | Lan Wang M.Sc. | Interpretable vehicle intention prediction |
| 2021–2024 | Yanyan Fang M.Eng. | Multimodal trajectory prediction for mixed traffic |
| 2020–2025 | Jie Hou Ph.D. | Distributed projection-free stochastic optimization |
| 2022–2025 | Yixuan Li M.Sc. | Cooperative pursuit via adversarial game theory |
| 2022–2025 | Xuanming Zhang M.Sc. | Multimodal trajectory prediction via behavioral game theory |