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Chang Liu 0020
Person information
- affiliation: Guangdong University of Technology, School of Automation, Guangdong Key Laboratory of IoT Information Technology, Guangzhou, China
Other persons with the same name
- Chang Liu — disambiguation page
- Chang Liu 0001 — Beijing Institute of Technology, School of Computer Science and Technology, China (and 1 more)
- Chang Liu 0002 — Peking University, Department of Advanced Manufacturing and Robotics, Beijing, China (and 2 more)
- Chang Liu 0003 — La Trobe University, Melbourne, Australia (and 3 more)
- Chang Liu 0004 — Purdue University, Video and Image Processing Laboratory (VIPER), West Lafayette, IN, USA
- Chang Liu 0005 — Chengdu University, College of Information Science and Technology, Chengdu, China
- Chang Liu 0006 — Chinese Academy of Sciences, Institute of Electronics, State Key Laboratory of Transducer Technology, Beijing, China (and 2 more)
- Chang Liu 0007 — Peking University, Department of Information Management, Beijing, China (and 1 more)
- Chang Liu 0008 — Guangdong University of Technology, School of Information Engineering, China (and 1 more)
- Chang Liu 0009 — Beihang University, School of Astronautics, Beijing, China
- Chang Liu 0010 — University of Stuttgart, Institute of Computer Architecture and Computer Engineering, Germany
- Chang Liu 0011 — Harbin Institute of Technology, Department of Computer Science, China
- Chang Liu 0012 — Dongguan University of Technology, School of Electronic Engineering, China
- Chang Liu 0013 — Northeast Forestry University, College of Engineering and Technology, Centre for Forest Operations and Environment, Harbin, China
- Chang Liu 0014 — North China Electric Power University, Department of Electric Engineering, Baoding, China
- Chang Liu 0015 — University of Melbourne, Australia
- Chang Liu 0016 — China University of Mining and Technology, School of Mechatronic Engineering, Xuzhou, China
- Chang Liu 0017 — Chongqing University of Posts and Telecommunications, Chongqing Key Laboratory of Computational Intelligence, China
- Chang Liu 0018 — Jianghan University, Department of Logistics and Information Management, China
- Chang Liu 0019 — National University of Defense Technology, Institute of Microelectronics, School of Computer Science, Changsha, China
- Chang Liu 0021 — University of California, Berkeley, Department of EECS, CA, USA (and 2 more)
- Chang Liu 0022 — Northeastern University, Department of Mechanical and Industrial Engineering, Boston, MA, USA
- Chang Liu 0023 — Huazhong University of Science and Technology, Wuhan, China
- Chang Liu 0024 — ShanghaiTech University, School of Information Science and Technology, Shanghai, China
- Chang Liu 0025 — Beijing Institute of Spacecraft Environment Engineering, China
- Chang Liu 0026 — Beijing Information Science and Technology University, Institute of Applied Mathematics, Beijing, China
- Chang Liu 0027 — Northern Illinois University, College of Business, Dekalb, IL, USA
- Chang Liu 0028 — Ohio University, Athens, OH, USA (and 1 more)
- Chang Liu 0029 — University of Toronto, Canada
- Chang Liu 0030 — Microsoft Research AI4Science, Beijing, China (and 2 more)
- Chang Liu 0031 — Carnegie Mellon University, Pittsburgh, PA, USA
- Chang Liu 0032 — Northwestern University, Evanston, IL, USA
- Chang Liu 0033 — University of Massachusetts Lowell, MA, USA
- Chang Liu 0034 — Broadcom Corporation, Irvine, CA, USA (and 1 more)
- Chang Liu 0035 — King's College London, UK
- Chang Liu 0036 — Hong Kong University of Science and Technology, Department of Mathematics, Hong Kong
- Chang Liu 0037 — Nanchang Hangkong University, School of Information Technology, Nanchang, China
- Chang Liu 0038 — Ben-Gurion University of the Negev, Beer Sheva, Israel
- Chang Liu 0039 — Northeastern University, Liaoning Engineering Laboratory of Data Analytics and Optimization for Smart Industry, Shenyang, China
- Chang Liu 0040 — Nanyang Technological University, School of Computer Science and Engineering, Singapore (and 1 more)
- Chang Liu 0041 — Chinese Academy of Sciences, Institute of Electronics, Department of Airborne Microwave Remote Sensing System, Beijing, China
- Chang Liu 0042 — University of Chinese Academy of Sciences, School of Electronic, Electrical and Communication Engineering, Beijing, China
- Chang Liu 0043 — China Three Gorges University, College of Electrical Engineering and New Energy, Yichang, China
- Chang Liu 0044 — Tianjin University, School of Microelectronics, Tianjin, China
- Chang Liu 0045 — Northeastern University, College of Computer Science and Engineering, Shenyang, China
- Chang Liu 0046 — Wuhan University, School of Computer Science, Wuhan, China
- Chang Liu 0047 — University of Chinese Academy of Sciences, School of Electronic, Electrical and Communication Engineering, Beijing, China
- Chang Liu 0048 — Iowa State University, Department of Computer Science, Ames, IA, USA
- Chang Liu 0049 — Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China (and 1 more)
- Chang Liu 0050 — University of Southampton, Faculty of Engineering and the Environment, UK
- Chang Liu 0051 — East China Normal University, Software Engineering Institute, Shanghai, China
- Chang Liu 0052 — University of Michigan - Dearborn, Department of Electrical and Computer Engineering, MI, USA
- Chang Liu 0053 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Key Laboratory of Digital Earth Science, Beijing, China
- Chang Liu 0054 — Taishan University, Taishan University, Taian, China
- Chang Liu 0055 — Southwestern University of Finance and Economics, School of Securities and Futures, Chengdu, China
- Chang Liu 0056 — Kunming University of Science and Technology, Faculty of Information Engineering and Automation, Computer Technology Application Key Laboratory of Yunnan Province, China
- Chang Liu 0057 — Guangdong Ocean University, Institute of Electronics and Information Engineering, China (and 1 more)
- Chang Liu 0058 — Hunan University, College of Computer Science and Electronic Engineering, Changsha, China
- Chang Liu 0059 — University of Edinburgh, School of Engineering, UK (and 2 more)
- Chang Liu 0060 — South China University of Technology, School of Automation Science and Engineering, Guangdong, China
- Chang Liu 0061 — Tsinghua University, Department of Automation, Beijing, China (and 1 more)
- Chang Liu 0062 — Harbin Institute of Technology, School of Electrical Engineering and Automation, China
- Chang Liu 0063 — Tsinghua University, Beijing, School of Medicine, Department of Biomedical Engineering, China
- Chang Liu 0064 — Jilin University, Software Institute, Changchun, China
- Chang Liu 0065 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, Beijing Key Laboratory of Network System Architecture and Convergence, China
- Chang Liu 0066 — Shenyang University, Department of Applied Technology, China
- Chang Liu 0067 — Kunming University of Science and Technology, Faculty of Mechanical and Electrical Engineering, China
- Chang Liu 0068 — Beijing Institute of Technology, School of Automation, State Key Laboratory of Intelligent Control and Decision of Complex Systems, China
- Chang Liu 0069 — Xi'an Jiaotong-Liverpool University, Suzhou, China (and 1 more)
- Chang Liu 0070 — Huazhong University of Science and Technology, School of Civil and Hydraulic Engineering, Wuhan, China
- Chang Liu 0071 — NVIDIA, Beijing, China (and 2 more)
- Chang Liu 0072 — Nanyang Technological University (NTU), Singapore
- Chang Liu 0073 — University of Jena, Germany
- Chang Liu 0074 — Polytechnic University of Milan, Italy
- Chang Liu 0075 — University of California, Berkeley, USA
- Chang Liu 0076 — Peking University, Wangxuan Institute of Computer Technology, Center for Data Science, China
- Chang Liu 0077 — Shanghai Jiao Tong University, Department of Electronic Engineering, Institute of Image Communication and Networks Engineering, China
- Chang Liu 0078 — Shanghai Jiao Tong University, Department of Computer Science and Engineering, China
- Chang Liu 0079 — Shanghai Jiao Tong University, Coop. Medianet Innovation Center, China
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2020 – today
- 2024
- [j23]Hongxia Rao, Yun Long, Yao Zhao, Zijing Xiao, Chang Liu:
Finite-time synchronisation for Markovian master-slave neural networks with weighted try-once-discard protocol and static intermittent control. Int. J. Syst. Sci. 55(10): 2108-2121 (2024) - [j22]Chang Liu, Hongxia Rao, Xinxin Yu, Yong Xu, Chun-Yi Su:
State Estimation for Recurrent Neural Networks With Intermittent Transmission. IEEE Trans. Cybern. 54(5): 2891-2900 (2024) - [j21]Zenghong Huang, Weijun Lv, Chang Liu, Yong Xu, Leszek Rutkowski, Tingwen Huang:
Event-Triggered Distributed Moving Horizon Estimation Over Wireless Sensor Networks. IEEE Trans. Ind. Informatics 20(3): 4218-4226 (2024) - 2023
- [j20]Ming Lin, Jie Li, Yan-Ni Zeng, Chang Liu, Hongxia Rao:
Set-Membership Filtering for Time-Varying Complex Networks with Randomly Varying Nonlinear Coupling Structure. Circuits Syst. Signal Process. 42(9): 5233-5251 (2023) - [j19]Yumei Zhou, Yuru Guo, Chang Liu, Hui Peng, Hongxia Rao:
Synchronization for Markovian master-slave neural networks: an event-triggered impulsive approach. Int. J. Syst. Sci. 54(12): 2551-2565 (2023) - [j18]Zenghong Huang, Zijie Chen, Chang Liu, Yong Xu, Peng Shi:
Consensus-based distributed moving horizon estimation with constraints. Inf. Sci. 637: 118963 (2023) - [j17]Ming Lin, Yan-Ni Zeng, Hui Chen, Chang Liu, Hong-Xia Rao:
Reliable mixed H2/H∞ distributed estimation for periodic nonlinear systems with jumping topology. J. Frankl. Inst. 360(1): 574-596 (2023) - [j16]Yuru Guo, Chang Liu, Yonghua Liu, Yong Xu, Renquan Lu, Tingwen Huang:
Bounded synchronization for uncertain master-slave neural networks: An adaptive impulsive control approach. Neural Networks 162: 288-296 (2023) - [j15]Chang Liu, Zhuo Wang, Renquan Lu, Tingwen Huang, Yong Xu:
Finite-Time Estimation for Markovian BAM Neural Networks With Asymmetrical Mode-Dependent Delays and Inconstant Measurements. IEEE Trans. Neural Networks Learn. Syst. 34(1): 344-354 (2023) - [j14]Chang Liu, Yuru Guo, Zhuo Wang, Yong Xu, Chun-Yi Su:
State Estimation for Nonuniformly Sampled Neural Networks With Hidden Information. IEEE Trans. Syst. Man Cybern. Syst. 53(10): 6342-6352 (2023) - 2022
- [j13]Hui Chen, Yao Li, Chang Liu, Ming Lin, Hong-Xia Rao:
Reliable state estimation for neural networks with TOD protocol and mixed compensation. Neurocomputing 492: 488-495 (2022) - [j12]Chang Liu, Jie Li, Ming Lin, Yanling Yang, Hong-Xia Rao:
Finite-time synchronisation for periodic delayed master-slave neural networks with weighted try-once-discard protocol. Int. J. Syst. Sci. 53(4): 675-688 (2022) - [j11]Chang Liu, Lixin Yang, Jie Tao, Yong Xu, Tingwen Huang:
Set-membership filtering for complex networks with constraint communication channels. Neural Networks 152: 479-486 (2022) - 2021
- [j10]Chang Liu, Yuru Guo, Hong-Xia Rao, Ming Lin, Yong Xu:
Finite-time synchronization for periodic T-S fuzzy master-slave neural networks with distributed delays. J. Frankl. Inst. 358(4): 2367-2381 (2021) - [j9]Fen Liu, Chang Liu, Hong-Xia Rao, Yong Xu, Tingwen Huang:
Reliable impulsive synchronization for fuzzy neural networks with mixed controllers. Neural Networks 143: 759-766 (2021) - 2020
- [j8]Yiting Gan, Chang Liu, Hui Peng, Fen Liu, Hong-Xia Rao:
Anti-synchronization for periodic BAM neural networks with Markov scheduling protocol. Neurocomputing 417: 585-592 (2020) - [j7]Hong-Xia Rao, Yuru Guo, Yong Xu, Chang Liu, Renquan Lu:
Nonfragile Finite-Time Synchronization for Coupled Neural Networks With Impulsive Approach. IEEE Trans. Neural Networks Learn. Syst. 31(11): 4980-4989 (2020) - [j6]Yong Xu, Chang Liu, Jun-Yi Li, Chun-Yi Su, Tingwen Huang:
Finite-Horizon H∞ State Estimation for Time-Varying Neural Networks with Periodic Inner Coupling and Measurements Scheduling. IEEE Trans. Syst. Man Cybern. Syst. 50(1): 211-219 (2020)
2010 – 2019
- 2019
- [j5]Chang Liu, Fen Liu, Hong-Xia Rao, Yong Xu:
Trajectory Tracking With Constrained Sensors and Unreliable Communication Networks. IEEE Access 7: 184866-184874 (2019) - [j4]Yong Xu, Jun-Yi Li, Renquan Lu, Chang Liu, Yuanqing Wu:
Finite-Horizon $l_2-l_\infty$ Synchronization for Time-Varying Markovian Jump Neural Networks Under Mixed-Type Attacks: Observer-Based Case. IEEE Trans. Neural Networks Learn. Syst. 30(6): 1695-1704 (2019) - 2018
- [j3]Hong-Xia Rao, Renquan Lu, Yong Xu, Chang Liu:
State estimation for neural networks with jumping interval weight matrices and transmission delays. Neurocomputing 275: 909-915 (2018) - [j2]Hong-Xia Rao, Yong Xu, Chang Liu, Jun-Yi Li:
Finite-time control for periodic systems with Markov jump sensor nonlinearities and random input gains. J. Frankl. Inst. 355(10): 4097-4110 (2018) - [j1]Yong Xu, Chang Liu, Renquan Lu, Chun-Yi Su:
Remote Estimator Design for Time-Delay Neural Networks Using Communication State Information. IEEE Trans. Neural Networks Learn. Syst. 29(10): 5149-5158 (2018)
Coauthor Index
aka: Hongxia Rao
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last updated on 2024-12-23 20:31 CET by the dblp team
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