.png){kind=icon}
Yiguang Hong
个人简介
暂无内容
教育背景
1990.01 – 1993.12
Institute of Systems Science（ISS）, CAS Ph. D.
1987.01 – 1990.12
Department of Mechanics, Peking University, Beijing M.Sc.
1983.01 – 1987.12
Department of Mechanics, Peking University, Beijing B.Sc.
工作经历
2021.03 – 至今
Shanghai Research Institute for Intelligent Autonomous Systems,Tongji University, Shanghai
Deputy Director
2020.10 – 至今
College of Electronics and Information Engineering, Tongji University, Shanghai
Professor
2010.12 – 2020.10
National Center of Mathematics and Interdisciplinary Sciences, CAS
Director of Information Technology Division
2009.08 – 2019.09
AMSS,CAS
Director of Key Lab of Systems and Control
2003.04 – 至今
AMSS, CAS, Beijing
Professor
2000.02 – 2003.01
Duke University, USA
Visiting Scholar
1995.12 – 2003.04
ISS, CAS, Beijing
Associate Professor
1994.05 – 1995.07
Hong Kong Polytechnic University, Hong Kong
Post-doc
1993.08 – 1995.12
ISS, CAS, Beijing
Assistant Professor
荣誉奖项
- Fellow of Chinese Association of Automation（2018）｜Chinese Association of Automation
- IEEE Fellow（2017）｜IEEE
- Fellow of Chinese Association for Artifificial Intelligence（2017）｜Chinese Association for Artifificial Intelligence
- J. Systems Science and Complexity best paper award（2014）｜J. Systems Science and Complexity
- Int. Conf. on Control, Automation, Robotics and Vision best paper award（2012）｜Int. Conf. on Control, Automation, Robotics and Vision
- Most Cited Article of Automatica during 2006-2010（2011）｜Automatica
- State Natural Science Prize of China（2008）
- Outstanding Youth Award of CAS（2007）｜CAS
- Youth Award of Science and Technology of China（2006）
- Outstanding Young Scholar Award from NNSF of China（2004）｜NNSF of China
- Young Scientist Award of CAS（2001）｜CAS
- USA National Research Council Research Associateship Award（2000）｜USA National Research Council
- Young Author Prize of the 14th IFAC Triennial World Congress（1999）｜IFAC Triennial World Congress
- “Guan Zhaozhi” Award in Chinese Control Conference (CCC)（1997）｜Chinese Control Conference (CCC)
分布式在线上下文非凸优化：基于动态遗憾的一点残差反馈
融合：基于服务激励优化的分布式空地边缘网络中嵌入预测的智能体调度
BG-FlipIn：先进持续性威胁中FlipIt-内部模型的贝叶斯博弈框架
多无人机系统空间相关目标分布式事件驱动贝叶斯搜索
通过局部虚假信息操纵的分布式最优解
分布式广义分布鲁棒均衡搜索：面向动态博弈及未知时变干扰
多模态多任务（M3T）联邦基础模型用于具身人工智能：边缘集成的潜力与挑战
自适应无人机辅助分层联邦学习：优化动态智能物联网中的能量、延迟和韧性
异构多智能体系统在安全约束下的分布式最优输出一致控制
非线性多智能体系统的分布式安全关键控制
为动态MCS加速工人与时空任务之间的稳定匹配：一种分阶段服务交易方法
阻塞性睡眠呼吸暂停中棕榈酰化相关生物标志物的鉴定及其分子机制
概率密度函数的边缘分布鲁棒融合
基于统一屏障函数方法的实际固定时间状态约束非线性系统控制
级联意见动态中的社会权力博弈
