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 intelligent planning & decision-making for autonomous unmanned systems.
I received my Ph.D. in Mechanical Engineering from Texas Tech University (USA, 2015) and previously held postdoctoral positions at the Academy of Mathematics and Systems Science of the Chinese Academy of Sciences and Beijing Institute of Technology.
我是北京理工大学自动化学院教授，隶属于自主智能无人系统全国重点实验室。主要研究方向包括分布式优化、非合作博弈理论以及自主无人系统的智能规划与决策。
2015年在美国德克萨斯理工大学获得机械工程博士学位，先后在中国科学院数学与系统科学研究院和北京理工大学从事博士后研究。
My research connects distributed optimization and game-theoretic decision-making with planning and control of autonomous multi-agent systems.我的研究围绕多智能体系统的协同优化与决策展开，研究分布式优化和博弈学习方法，并探索其在自主无人系统规划与控制中的应用。
Optimization, games and autonomous systems.分布式优化、博弈决策与自主无人系统。
Selected papers and research themes.精选论文与按主题整理的研究成果。
Courses, learning topics and monographs.课程介绍、学习主题与教材专著。
Current students and research enquiries.了解团队成员与研究交流方式。
Associate Professor → Professor, School of Automation, Beijing Institute of Technology
Postdoctoral Researcher, School of Automation, Beijing Institute of Technology
Postdoctoral 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 Automation, Harbin Institute of Technology
副教授 → 教授，北京理工大学自动化学院
博士后，北京理工大学自动化学院
博士后，中国科学院数学与系统科学研究院
博士，机械工程，美国德克萨斯理工大学
硕士，控制科学与工程，哈尔滨工业大学
本科，自动化，哈尔滨工业大学
A curated selection organized by research theme. For the complete list, see full publication page or Google Scholar. 按研究主题精选部分论文。完整列表请参阅论文全集或谷歌学术。
X. Zeng, P. Yi, Y. Hong. "Distributed continuous-time algorithm for constrained convex optimizations via nonsmooth analysis approach." IEEE Trans. Automatic Control, vol. 62, no. 10, pp. 5227–5233, 2017.
Continuous-time projected optimization with local constraints and nonsmooth convergence analysis.局部约束下的连续时间投影优化与非光滑收敛分析。
Z. Lin, J. Hou*, X. Zeng. "Optimal Prediction-Correction Algorithm Using Sparse Linear Extrapolation for Time-Varying Optimization." IEEE Trans. Signal Processing, vol. 74, pp. 2564-2578, 2026.
Sparse linear extrapolation for prediction-correction in time-varying optimization.基于稀疏线性外挿的时变优化预测—校正方法。
J. Hou, X. Zeng*, S. Cui, J. Sun. "Distributed Stochastic Frank-Wolfe for Constrained Composite Minimization." IEEE Trans. Automatic Control, DOI: 10.1109/TAC.2025.3581321, 2025.
Composite stochastic optimization with projection-free methods.复合随机优化中的无投影方法。
X. Jiang, X. Zeng*, L. Xie, J. Sun, J. Chen. "Variance-Reduced Reshuffling Gradient Descent for Non-Convex Optimization: Centralized and Distributed Algorithms." Automatica, vol. 171, Jan. 2025.
Variance reduction and reshuffling for nonconvex optimization.非凸优化中的方差缩减与重排策略。
X. Zeng, J. Lei*, J. Chen. "Dynamical Primal-Dual Nesterov Accelerated Method with Applications to Network Optimization." IEEE Trans. Automatic Control, vol. 68, no. 3, Mar. 2023.
Accelerated dynamical methods for network optimization.面向网络优化的加速动力学方法。
X. Zeng, P. Yi, Y. Hong, L. Xie. "Distributed Continuous-Time Algorithms for Nonsmooth Extended Monotropic Optimization." SIAM Journal on Control and Optimization, vol. 56, no. 6, pp. 3973–3993, 2018.
Distributed optimization with nonsmooth objectives.非光滑目标下的分布式优化。
Y. Wei, H. Fang, X. Zeng, J. Chen, P. Pardalos. "A Smooth Double Proximal Primal-Dual Algorithm for a Class of Distributed Nonsmooth Optimization Problem." IEEE Trans. Automatic Control, vol. 65, no. 4, pp. 1800–1806, 2020.
A smooth double proximal primal-dual method for distributed nonsmooth optimization.面向分布式非光滑优化的光滑双近端原始—对偶方法。
X. Zeng, S. Liang, Y. Hong, J. Chen. "Distributed Computation of Linear Matrix Equations: An Optimization Perspective." IEEE Transactions on Automatic Control, vol. 64, no. 5, pp. 1858–1873, 2019. DOI
Optimization-based distributed computation of linear matrix equations AXB = F.从优化视角研究线性矩阵方程 AXB = F 的分布式求解。
X. Jiang, X. Zeng, J. Sun*, J. Chen. "Distributed Synchronous and Asynchronous Algorithms for Semidefinite Programming With Diagonal Constraints." IEEE Trans. Automatic Control, vol. 68, no. 2, pp. 1007–1022, Feb. 2023. DOI
Distributed synchronous and asynchronous algorithms for semidefinite programming with diagonal constraints.具有对角约束的半定规划问题的分布式同步与异步求解。
X. Zeng, J. Chen, S. Liang, Y. Hong. "Generalized Nash Equilibrium Seeking Strategy for Distributed Nonsmooth Multi-Cluster Game." Automatica, vol. 103, pp. 20–26, 2019.
Equilibrium seeking in nonsmooth multi-cluster games.非光滑多集群博弈的均衡求解。
Z. Cheng, X. Zeng*, H. Fang. "Opportunistic Platoon Formation for Multi-Lane Highway On-Ramp Merging Considering Individual Rationality." IEEE Transactions on Vehicular Technology, accepted, Aug. 2026.
Vehicle platoon formation with individual rationality.考虑个体理性的车辆编队形成。
C. Wu, H. Fang, Q. Yang*, X. Zeng, J. Chen. "Distributed Cooperative Control of Redundant Mobile Manipulators with Safety Constraints." IEEE Trans. Cybernetics, vol. 53, no. 2, pp. 1195–1207, 2023.
Safety-constrained cooperation of mobile manipulators.安全约束下移动机械臂的协同控制。
Additional papers grouped by research theme; the selected papers above are not repeated here.以下按研究主题列出其他论文，不重复列出上方代表作。
Multi-robot task allocation, behavior planning and motion planning.围绕多机器人任务分配、行为规划与运动规划，理解协同任务中的建模与算法选择。
Swarm optimization, task allocation, game theory and multi-agent decision-making.从群体智能优化与任务分配出发，学习博弈论和多智能体决策的基本方法。
Foundations of autonomy, intelligent decision-making and cooperative control.了解自主无人系统的基本问题，建立智能决策与协同控制的知识联系。
Research questions, literature reviews, academic writing and presentation.围绕研究问题、文献综述、论文组织和学术表达，训练科研写作与交流能力。
| 2025–now | Intelligent Coordination of Multi-Robot Systems (Undergrad) |
| 2025–至今 | 多机器人系统智能协同 （本科生） |
| 2025–now | Fundamentals of Autonomous Intelligent Unmanned Systems (Graduate) |
| 2025–至今 | 自主智能无人系统基础 （研究生） |
| 2023–now | Scientific Writing and Communication (Undergrad) |
| 2023–至今 | 科技写作与交流 （本科生） |
| 2023–now | Fundamentals of Swarm Intelligence and Adversarial Games (Graduate) — AI-Empowered Course |
| 2023–至今 | 群体智能与博弈对抗基础 （研究生） — AI赋能课程 |
| 2021–2024 | Fundamentals of Intelligent Control (Undergrad) |
| 2021–2024 | 智能控制基础 （本科生） |
| 2020–2022 | Optimization Theory and Methods (Graduate) |
| 2020–2022 | 最优化理论与方法 （研究生） |
Students interested in distributed optimization, game theory, or autonomous systems are welcome to get in touch. A brief introduction to your background, research interests and relevant projects will help us discuss a possible fit.欢迎对分布式优化、博弈论或自主无人系统感兴趣的同学联系交流。来信可简要介绍学习背景、研究兴趣及相关项目经历，便于讨论方向是否契合。
For admission requirements and arrangements, please refer to the university and school announcements.具体报考条件与招生安排以学校和学院公布的信息为准。
xianlin.zeng@bit.edu.cn| 2020–2025 | Jie Hou Ph.D. | Distributed projection-free methods for constrained stochastic optimization |
| 2020–2025 | 侯洁 博士 | 有约束随机优化的分布式无投影求解方法 |
| 2023–2026 | Luying Chen M.Sc. | Research on Attack-Defense Game Strategy under Limited Resource Constraints |
| 2023–2026 | 陈璐颖 学硕 | 有限资源约束下的攻防博弈策略研究 |
| 2023–2026 | Chongyao Li M.Eng. | Resource Allocation Strategies in Attack-Defense Confrontation of Unmanned Combat Swarm Systems |
| 2023–2026 | 李崇垚 专硕 | 集群无人作战系统攻防对抗中的资源分配策略研究 |
| 2022–2025 | Yixuan Li M.Sc. | Cooperative Pursuit Strategy Based on Intelligent Adversarial Game Theory |
| 2022–2025 | 李逸萱 学硕 | 基于智能博弈对抗的合作追捕策略 |
| 2022–2025 | Xuanming Zhang M.Sc. | Multimodal Vehicle Trajectory Prediction and Motion Planning Methods Based on Behavioral Game Theory |
| 2022–2025 | 张轩铭 学硕 | 基于行为博弈论的车辆多模态轨迹预测和运动规划方法 |
| 2021–2024 | Lan Wang M.Sc. | Interpretable Vehicle Intention Prediction Methods and Trajectory Forecasting Methods |
| 2021–2024 | 王兰 学硕 | 可解释的车辆意图预测和轨迹预测方法 |
| 2021–2024 | Yanyan Fang M.Eng. | Multimodal Trajectory Prediction and Planning Methods for Mixed Traffic Flows in Urban Environments |
| 2021–2024 | 房妍妍 专硕 | 城市环境下的混合车流多模态轨迹预测及规划方法 |
| 2020–2023 | Zijun Cheng M.Eng. | Optimization-based motion planning algorithm for multiple vehicles |
| 2020–2023 | 成子君 专硕 | 基于优化的多车协同自动驾驶运动规划算法 |
| 2020–2023 | Kai Wang M.Eng. | Rule-Based Interpretable Intention Recognition and Trajectory Prediction of Surrounding Vehicles |
| 2020–2023 | 王凯 专硕 | 基于规则可解释的周车意图识别与轨迹预测 |
| 2019–2022 | Jiebang Xing M.Sc. | Research on pursuit evasion games based on deep reinforcement learning |
| 2019–2022 | 邢介邦 学硕 | 基于深度强化学习的追逃博弈研究 |
| 2019–2022 | Junchao Zhang M.Eng. | Pursuing Strategy Generation Method Based on Model-free Reinforcement Learning |
| 2019–2022 | 张俊超 专硕 | 基于无模型强化学习的追捕策略生成方法 |