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Xianlin Zeng, Ph.D.

Professor
National Key Laboratory of Autonomous Intelligent Unmanned Systems, China.
School of Automation, Beijing Institute of Technology, 100081, Beijing, China.
Email: xianlin.zeng@bit.edu.cn

Education

• Postdoc Researcher in School of Automation, Beijing Institute of Technology, Beijing, China (2017-2019)
• Postdoc Researcher in Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China (2015-2017)
• Doctor of Philosophy in Mechanical Engineering, Texas Tech University, Lubbock, USA (2011-2015)
• Master of Science in Control Science and Engineering, Harbin Institute of Technology, Harbin, China (2009-2011)
• Bachelor of Science in Control Science and Engineering, Harbin Institute of Technology, Harbin, China (2005-2009)

Research Interests

• Distributed optimization and noncooperative games
• Motion planning of autonomous systems

Current Fundings

• Distributed Nonsmooth Control and Optimization of Multi-agent Systems, National Natural Science Foundation of China, PI
• Trustable and explainable hybrid intelligent decision-making and online assessment for human-machine co-driving, National Key Research and Development Program of China, Co-PI

Textbooks and Monographs

1. Xianlin Zeng, Yiguang Hong, Hao Fang, Distributed Nonsmooth Optimization 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）

Selected Publications

Distributed otpimization and stochastic optimization

1. Xia Jiang, Xianlin Zeng, Lihua Xie, Jian Sun, Jie Chen, Variance-reduced Reshuffling Gradient Descent for Nonconvex Optimization: Centralized and Distributed Algorithms, Automatica, 23 Sep 2024
2. Xia Jiang, Xianlin Zeng, Lihua Xie, Jian Sun, and Jie Chen, Distributed stochastic projection-free solver for constrained optimization, IEEE Transactions on Automatic Control, 2024, doi10.1109/TAC.2024.3481040
3. Jie Hou, Xianlin Zeng, Gang Wang, Chen Chen, Jian Sun, Distributed Frank-Wolfe Solver for Stochastic Optimization with Coupled Inequality Constraints, IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2024.3423376
4. Jie Hou, Xianlin Zeng, and Chen Chen, Distributed gradient-free and projection-free algorithm for stochastic constrained optimization, Auton. Intell. Syst. 4, 6 (2024)
5. Xia Jiang, Xianlin Zeng, Lihua Xie, Jian Sun, Variance-reduced Shuffling Gradient Descent with Momentum for Finite-sum Minimization, IEEE Control Systems Letters, vol. 7, pp. 1700-1705, 2023.
6. Xia Jiang, Xianlin Zeng, Jian Sun, and Jie Chen, Distributed stochastic gradient tracking algorithm with variance reduction for non-convex optimization, IEEE Transactions on Neural Networks and Learning Systems, vol. 34, no. 9, pp. 5310-5321, Sept. 2023
7. Jie Hou, Xianlin Zeng, Gang Wang, Jian Sun, and Jie Chen, Distributed Momentum-based Frank-Wolfe Algorithm for Stochastic Optimization, IEEE/CAA JOURNAL OF AUTOMATICA SINICA, vol. 10, no. 3, 2023

Motion planning and control algorithms

1. Xiaozhen Zhang, Qingkai Yang, Xianlin Zeng, Hao Fang and Jie Chen, Cooperative Shape-Translation Estimation and Control for Time-Varying Linear Formation, IEEE Transactions on Automatic Control, doi: 10.1109/TAC.2025.3540570.
2. Zijun Cheng, Xianlin Zeng, Hao Fang, Gang Wang, and Lihua Dou, Hierarchical MPC-based Motion Planning for Automated Vehicles in Parallel Autonomy, Unmanned Systems, https://doi.org/10.1142/S2301385024500286, 2023
3. Chu Wu, Hao Fang, Xianlin Zeng, Qingkai Yang, Yue Wei, and Jie Chen, Distributed Continuous-Time Algorithm for Time-Varying Optimization With Affine Formation Constraints, IEEE Transactions on Automatic Control, vol. 68, no. 4, pp. 2615-2622, 2023
4. Chu Wu, Hao Fang, Qingkai Yang, Xianlin Zeng, and Jie Chen, Distributed cooperative control of redundant mobile manipulators with safety constraints, IEEE Transactions on Cybernetics, DOI: 10.1109/TCYB.2021.3104044.
5. Xianlin Zeng, Hybrid Networked Control for Cyber-Physical Network Systems with Applications to Interconnected Power Grids, Texas Tech University, August 2015. (Ph.D. Dissertation)

Optimization algorithms for multi-agent noncooperative games

1. Kui Zhu and Xianlin Zeng, Almost Sure Convergence to Approximate Nash Equilibrium in Zero-Sum Extensive-Form Games with Noisy Feedback, 2024 IEEE 18th International Conference on Control & Automation (ICCA), Reykjavík, Iceland, 2024, pp. 591-596.
2. Xianlin Zeng, Lihua Dou, and Jie Chen, Accelerated First-Order Continuous-Time Algorithm for Solving Convex-Concave Bilinear Saddle Point Problem, 21st IFAC World Congress, Germany, July 11-17, 2020.
3. Xianlin Zeng, Jie Chen, Shu Liang, and Yiguang Hong, Generalized Nash equilibrium seeking strategy for distributed nonsmooth multi-cluster game, Automatica, vol. 103, 20-26, 2019.

Distributed algorithms for matrix equations and inequalities

1. Xia Jiang, Xianlin Zeng, Jian Sun, and Jie Chen, Distributed synchronous and asynchronous algorithms for semi-definite programming with diagonal constraints, IEEE Transactions on Automatic Control, Volume, 68, Issue 2, pp. 1007-1022, 2023.
2. Xianlin Zeng, Jie Chen, and Yiguang Hong, Distributed Optimization Design of Iterative Refinement Technique for Algebraic Riccati Equations, IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 52, no. 5, pp. 2833-2847, May 2022.
3. Xianlin Zeng, Jie Chen, and Yiguang Hong, Distributed Optimization Design for Computation of Algebraic Riccati Inequalities, IEEE Transactions on Cybernetics, vol. 52, no. 3, pp. 1924-1935, 2022.
4. Xianlin Zeng, Shu Liang, Yiguang Hong, and Jie Chen, Distributed computation of linear matrix equations: An optimization perspective, IEEE Transactions on Automatic Control, vol. 64, no. 5, pp. 1858-1873, 2019.

Continuous-time optimization algorithms

1. Xianlin Zeng, Jinlong Lei, and Jie Chen, Dynamical Primal-Dual Accelerated Method with Applications to Network Optimization, IEEE Transactions on Automatic Control, Volume, 68, Issue 3, pp. 1760-1767, March 2023.
2. Yue Wei, Chengsi Shang, Hao Fang, Xianlin Zeng, Lihua Dou, Panos Pardalos, Solving a class of nonsmooth resource allocation problems with directed graphs through distributed Lipschitz continuous multi-proximal algorithms, Automatica, vol. 136, pp. 110071, 2022.
3. Yue Wei, Hao Fang, Xianlin Zeng, Jie Chen, and Panos Pardalos, A smooth double proximal primal-dual algorithm for a class of distributed nonsmooth optimization problem, IEEE Transactions on Automatic Control, vol. 65, no. 4, pp. 1800-1806, 2020.
4. Xianlin Zeng, Peng Yi, Yiguang Hong, and Lihua Xie, Distributed continuous-time algorithms for nonsmooth extended monotropic optimization problems, SIAM Journal on Control and Optimization, 56(6): 3973-3993, 2018.
5. Xianlin Zeng, Peng Yi, and Yiguang Hong, Distributed continuous-time algorithm for constrained convex optimizations via nonsmooth analysis approach, IEEE Transactions on Automatic Control, vol. 62, no. 10, pp. 5227-5233, 2017.

Complete Publication List

My Google Scholar

Teaching

• 2021-2024: Fundamentals of Intelligent Control, undergraduate course
• 2020-2022: Optimization Theory and Methods, graduate course
• 2023-now: Scientific Writing and Communication, undergraduate course
• 2023-now: Fundamentals of Swarm Intelligence and Adversarial Games, graduate course
• 2025-now: Intelligent Coordination of Multi-Robot Systems, undergraduate course

Current graduate students

Phd students

1. Jie Hou, Phd student (08/2020-), Topic: Issues related to distributed projection-free optimization
2. Kui Zhu, Phd student (08/2022-), Topic: Issues related to distributed algorithms and game theory
3. Zijun Cheng, Phd student (08/2023-), Topic: Issues related to planning and control of autonomous robots
4. Azhushima, Phd student (08/2023-), Topic: Issues related to distributed optimization for multiple robots
5. Yuman He, Phd student (08/2024-), Topic: TBA
6. Yuliang Wang, Phd student (08/2024-), Topic: TBA

Master students

1. Yixuan Li, M.Sc. (08/2022-), Topic: Issues related to motion planning of vehicles
2. Xuanming Zhang, M.Sc. (08/2022-), Topic: Issues related to motion planning of vehicles
3. Luying Chen, M.Sc. (08/2023-), Topic: Issues related to game theory
4. Chongyao Li, M.Eng. (08/2023-), Topic: Issues related to game theory
5. Jiarui Liang, M.Eng. (08/2024-), Topic: TBA
6. Zhonghao Lin, M.Eng. (08/2024-), Topic: TBA
7. Dongxiang Liu, M.Eng. (08/2024-), Topic: TBA
8. Zelin Li, M.Eng. (08/2024-), Topic: TBA
9. Jiahui Chen, M.Eng. (08/2024-), Topic: TBA

Student Alumni

1. Jiebang Xing, M.Sc. (08/2019-06/2022), Research on pursuit evasion games based on deep reinforcement learning
2. Junchao Zhang, M.Eng. (08/2019-06/2022), Pursuing strategy generation method based on model-free reinforcement learning
3. Zijun Cheng, M.Eng. (08/2020-06/2023), Optimization-based motion planning algorithm for multiple vehicles
4. Kai Wang, M.Eng. (08/2020-06/2023), Rule-Based Interpretable Intention Recognition and Trajectory Prediction of Surrounding Vehicles
5. Lan Wang, M.Sc. (08/2021-06/2024), Interpretable Vehicle Intention Prediction Methods and Trajectory Forecasting Methods
6. Yanyan Fang, M.Eng. (08/2021-06/2024), Multimodal Trajectory Prediction and Planning Methods for Mixed Traffic Flows in Urban Environments