Group (LICS)
Laboratory for Information and Control Systems (LICS) · College of AI, Nankai University (Tianjin, China)
Principal Investigator
Professor Fei Chen
PhD students
2024
Chunxiang Jia
PhD student
Jingxuan Liu
PhD student
2025
Changjie Li
PhD student
Xuening Bai
PhD student
Wenjuan Zhang
PhD student
2026
Caiyun Guo
PhD student
Master students
2023
Runbang Yang
MSc student
2024
Chu Wang
MSc student
Yang Gao
MSc student
2025
Hongcheng Sun
MSc student
Liqiang Yang
MSc student
Tianxi Luo
MSc student
Shuo Wei
MSc student
Undergraduate students
Xiaojian Sun
Undergraduate student
Alumni
- Yong Du, Tiangong University (Tianjin Polytechnic University), Assistant Professor
- Haotian Wang, Anhui University of Science and Technology, Assistant Professor
- Liwen Zhang, Harbin Institute of Technology, Suzhou, Jiangsu, China
- Jiaxin Wu, Gree Electric Appliances, Hefei, Anhui, China
- Cunhao Wei, China North Industries Group (NORINCO), Chongqing, China
- Wuguang Wang, No. 613 Research Institute, Luoyang, Henan, China
- Shuocheng Kang, China Mobile (Liaoning), Shenyang, Liaoning, China
- Peng Jing, Huawei, Shenzhen, Guangdong, China
- Jin Jin, Geely Automobile Research Institute, Ningbo, Zhejiang, China
- Chengwang Yang, CETC 54th Research Institute, Shijiazhuang, Hebei, China
- Qingfu Cui, Midea Group, Foshan, Guangdong, China
- Zhicong Lin, CATL (Contemporary Amperex Technology Co., Limited), Nanping, Fujian, China
- Xiaozheng Chen, Xiamen University Tan Kah Kee College, Xiamen, Fujian, China
- Chengshuai Yang, NetEase, Fuzhou, Fujian, China
- Aozhe Huang, ByteDance
- Lu Bai, National University of Singapore
- Yubin Wang, The Hong Kong University of Science and Technology
- Zihan Yu, Purdue University
Research directions
Distributed cooperative control
Coordination and control of networked multi-agent systems: consensus, tracking, and cooperative behaviors.
Distributed optimization
Continuous-time and algorithmic methods for constrained optimization and decision-making over networks.
Distributed learning
Reinforcement learning and meta-learning for adaptive decision-making and control in networked systems.