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ORCIDWei Wu 0003
Person information
- affiliation: Chinese Academy of Sciences, Institute of Automation, Beijing, China
- affiliation (former): University of Science and Technology of China, Hefei, China
- affiliation (former): Humboldt University of Berlin, Germany
- affiliation (former): Goethe University Frankfurt, Frankfurt am Main, Germany
Other persons with the same name
- Wei Wu — disambiguation page
- Wei Wu 0001
![[0000-0003-0343-4632]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-0343-4632")
— Fujian Normal University, School of Mathematics and Computer Science, Fuzhou, China (and 1 more) - Wei Wu 0002 — Sichuan University, College of Electronics and Information Engineering, Chengdu, China
- Wei Wu 0004 — University of Texas at San Antonio, TX, USA
- Wei Wu 0005 — Nanjing University of Posts and Telecommunications, College of Telecommunications and Information Engineering, Nanjing, China (and 1 more)
- Wei Wu 0006 — Florida State University, Department of Statistics, Tallahassee, FL, USA
- Wei Wu 0007 — Hainan University, College of Information Science and Technology, Haikou, China (and 1 more)
- Wei Wu 0008 — Beihang University, State Key Lab of Virtual Reality Technology and Systems, Beijing, China (and 1 more)
- Wei Wu 0009 — Changsha University of Science and Technology, School of Traffic and Transportation Engineering, China
- Wei Wu 0010 — Dalian University of Technology, School of Mathematical Sciences, China (and 1 more)
- Wei Wu 0011 — Central South University, School of Computer Science and Engineering, Changsha, China (and 2 more)
- Wei Wu 0012 — Beijing Institute of Technology, School of Mechanical Engineering, National Key Laboratory of Vehicular Transmission, China
- Wei Wu 0013 — Naval University of Engineering, College of Weaponry Engineering, Wuhan, China (and 1 more)
- Wei Wu 0014 — Meituan Inc, Beijing, China (and 2 more)
- Wei Wu 0015 — National University of Defense Technology, School of Electronic Science, Changsha, China
- Wei Wu 0016 — Los Alamos National Laboratory, NM, USA (and 2 more)
- Wei Wu 0017 — Seikei University, Tokyo, Japan (and 1 more)
- Wei Wu 0018 — Jilin University, School of Communication Engineering, Changchun, China (and 1 more)
- Wei Wu 0019 — Xidian University, State Key Laboratory of Integrated Services Networks, Xi'an, China
- Wei Wu 0020 — Visa Inc, Singapore (and 2 more)
- Wei Wu 0021 — SenseTime Group Ltd, Urban Computing Group, China
- Wei Wu 0022 — South China University of Technology, College of Automation Science and Engineering, Guangzhou, China (and 2 more)
- Wei Wu 0023 — Carnegie Mellon University, School of Computer Science, Computational Biology Department, Pittsburgh, PA, USA (and 2 more)
- Wei Wu 0024 — Intel Research Laboratory, Hillsboro, OR, USA (and 1 more)
- Wei Wu 0025 — National Cancer Institute, Rockville, MD, USA (and 1 more)
- Wei Wu 0026 — Tongji University, CMIS Research Center, Shanghai, China
- Wei Wu 0027 — 54th Research Institute of China Electronics Technology Group Corporation, China (and 1 more)
- Wei Wu 0028 — University of California San Diego, Center for Memory and Recording Research, La Jolla, CA, USA
- Wei Wu 0029 — Zhejiang University of Technology, College of Computer Science and Technology, Hangzhou, China (and 1 more)
- Wei Wu 0030 — Xiamen University, Department of Chemistry, China
- Wei Wu 0031 — Liaoning University of Technology, College of Science, China
- Wei Wu 0032 — Inner Mongolia University, School of Computer Science, Huhhot, China
- Wei Wu 0033 — Beijing University of Posts and Telecommunications, Beijing Laboratory of Advanced Information Network / Beijing Key Laboratory of Network System Architecture and Convergence, China
- Wei Wu 0034 — Qingdao Agricultural University, College of Food Science and Engineering, China
- Wei Wu 0036 — Nanjing University of Posts and Telecommunications, College of Telecommunication and Information Engineering, MOE Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, China
- Wei Wu 0037 — Chinese Academy of Sciences, Changchun Institute of Applied Chemistry, State Key Laboratory of Electroanalytical Chemistry, China
- Wei Wu 0038 — Southeast University, School of Instrument Science and Engineering, Nanjing, China
- Wei Wu 0039 — Lanzhou Jiaotong University, School of Electronic and Information Engineering, China
- Wei Wu 0041 — University of Hong Kong, Department of Industrial and Manufacturing Systems Engineering, Hong Kong
- Wei Wu 0042 — Peking University, Key Laboratory of High Confidence Software Technologies of Ministry of Education, Beijing, China (and 1 more)
- Wei Wu 0043 — University of Technology, Austin, USA
- Wei Wu 0044 — ShannonAI (and 1 more)
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2020 – today
- 2024
[j23]Xiaona Wang, Jiahao Chen, Wei Wu:
Motion Learning for Musculoskeletal Robots Based on Cortex-Inspired Motor Primitives and Modulation. IEEE Trans. Cogn. Dev. Syst. 16(2): 744-756 (2024)- [j22]Shanlin Zhong, Wei Wu:
Motion Learning and Generalization of Musculoskeletal Robot Using Gain Primitives. IEEE Trans Autom. Sci. Eng. 21(2): 1580-1591 (2024) - [j21]Shanlin Zhong, Ya-Xiong Wu, Wei Wu, Hong Qiao:
Controlling Musculoskeletal System with Spinal Cord-Inspired Constraint Force Field Primitives. Unmanned Syst. 12(2): 293-304 (2024) - 2023
- [j20]Chao Ma, Hang Fu, Wei Wu:
Finite-time filtering of T-S fuzzy semi-Markov jump systems with asynchronous mode-dependent delays. J. Frankl. Inst. 360(16): 12707-12728 (2023) - [j19]Jinhan Zhang, Jiahao Chen, Wei Wu, Hong Qiao:
A Cerebellum-Inspired Prediction and Correction Model for Motion Control of a Musculoskeletal Robot. IEEE Trans. Cogn. Dev. Syst. 15(3): 1209-1223 (2023) - 2022
- [j18]Chao Ma, Hang Fu, Wei Wu:
Asynchronous fault detection for delayed semi-markov jump systems with mismatched mode-dependent nonlinearities. Inf. Sci. 587: 679-691 (2022) - [j17]Junjie Zhou, Shanlin Zhong, Wei Wu:
Hierarchical Motion Learning for Goal-Oriented Movements With Speed-Accuracy Tradeoff of a Musculoskeletal System. IEEE Trans. Cybern. 52(11): 11453-11466 (2022) - [c4]Shanlin Zhong, Junjie Zhou, Wei Wu:
Constructing Constraint Force Field in Musculoskeletal Robot by Co-optimizing Muscle Arrangements and Constant Activations. IJCNN 2022: 1-7 - 2021
- [j16]Yidao Ji, Chenan Wang, Wei Wu:
Mode-Dependent Event-Triggered Fault Detection for Nonlinear Semi-Markov Jump Systems With Quantization: Application to Robotic Manipulator. IEEE Access 9: 21832-21842 (2021) - [j15]Yidao Ji, Hang Fu, Chenan Wang, Wei Wu:
Mode-dependent guaranteed cost event-triggered synchronization for singular semi-markov jump neural networks with time delays. Neurocomputing 464: 265-272 (2021) - [j14]Yidao Ji, Wei Wu:
Reliable mode-dependent memorized projective lag synchronization for semi-Markovian jumping coupled networks. J. Syst. Control. Eng. 235(8) (2021) - [j13]Xiao Huang, Wei Wu, Hong Qiao:
Computational Modeling of Emotion-Motivated Decisions for Continuous Control of Mobile Robots. IEEE Trans. Cogn. Dev. Syst. 13(1): 31-44 (2021) - [j12]Xiao Huang, Wei Wu, Hong Qiao:
Connecting Model-Based and Model-Free Control With Emotion Modulation in Learning Systems. IEEE Trans. Syst. Man Cybern. Syst. 51(8): 4624-4638 (2021) - 2020
- [c3]Chao Ma, Wei Wu, Yidao Ji, Wei Wang:
Neural Network Tracking of Switched Robotic Manipulators with Mode-Dependent Average Dwell Time. RCAR 2020: 399-403 - [c2]Hang Fu, Yang Liu, Wei Wu, Xiaoqing Li:
Neural-based Inverse Kinematical Analysis for Bio-inspired Cable-driven Robotic Manipulator. RCAR 2020: 499-504
2010 – 2019
- 2019
- [j11]Chao Ma, Wei Wu, Yinlin Li:
Distributed mode-dependent state estimation for semi-Markovian jumping neural networks via sampled data. Int. J. Syst. Sci. 50(1): 216-230 (2019) - 2018
- [j10]Chao Ma, Wei Wu, Yidao Ji:
Dissipativity-Based Synchronization of Mode-Dependent Complex Dynamical Networks with Semi-Markov Jump Topology. Complex. 2018: 2348705:1-2348705:10 (2018) - [j9]Peijie Yin, Hong Qiao, Wei Wu, Lu Qi, Yinlin Li, Shanlin Zhong, Bo Zhang:
A Novel Biologically Inspired Visual Cognition Model: Automatic Extraction of Semantics, Formation of Integrated Concepts, and Reselection Features for Ambiguity. IEEE Trans. Cogn. Dev. Syst. 10(2): 420-431 (2018) - [j8]Xiao Huang, Wei Wu, Hong Qiao, Yidao Ji:
Brain-Inspired Motion Learning in Recurrent Neural Network With Emotion Modulation. IEEE Trans. Cogn. Dev. Syst. 10(4): 1153-1164 (2018) - 2017
- [j7]Xiayuan Huang, Xiangli Nie, Wei Wu, Hong Qiao, Bo Zhang:
SAR target configuration recognition based on the biologically inspired model. Neurocomputing 234: 185-191 (2017) - [c1]Xiao Huang, Wei Wu, Peijie Yin, Hong Qiao:
Improving learning efficiency of recurrent neural network through adjusting weights of all layers in a biologically-inspired framework. IJCNN 2017: 873-879 - 2016
- [j6]Hong Qiao, Yinlin Li, Fengfu Li, Xuanyang Xi, Wei Wu:
Biologically Inspired Model for Visual Cognition Achieving Unsupervised Episodic and Semantic Feature Learning. IEEE Trans. Cybern. 46(10): 2335-2347 (2016) - [i3]Wei Wu, Hong Qiao, Jiahao Chen, Peijie Yin, Yinlin Li:
Biologically inspired model simulating visual pathways and cerebellum function in human - Achieving visuomotor coordination and high precision movement with learning ability. CoRR abs/1603.02351 (2016) - [i2]Peijie Yin, Hong Qiao, Wei Wu, Lu Qi, Yinlin Li, Shanlin Zhong, Bo Zhang:
A Novel Biologically Mechanism-Based Visual Cognition Model-Automatic Extraction of Semantics, Formation of Integrated Concepts and Re-selection Features for Ambiguity. CoRR abs/1603.07886 (2016) - 2015
- [j5]Germán Gómez-Herrero, Wei Wu, Kalle Rutanen, Miguel C. Soriano, Gordon Pipa, Raul Vicente:
Assessing Coupling Dynamics from an Ensemble of Time Series. Entropy 17(4): 1958-1970 (2015) - [j4]Yinlin Li, Wei Wu, Bo Zhang, Fengfu Li:
Enhanced HMAX model with feedforward feature learning for multiclass categorization. Frontiers Comput. Neurosci. 9: 123 (2015) - [j3]Sven Blankenburg, Wei Wu, Benjamin Lindner, Susanne Schreiber:
Information filtering in resonant neurons. J. Comput. Neurosci. 39(3): 349-370 (2015) - [j2]Hong Qiao, Xuanyang Xi, Yinlin Li, Wei Wu, Fengfu Li:
Biologically Inspired Visual Model With Preliminary Cognition and Active Attention Adjustment. IEEE Trans. Cybern. 45(11): 2612-2624 (2015) - 2011
- [j1]Wei Wu, Diek W. Wheeler, Gordon Pipa:
Bivariate and Multivariate NeuroXidence: A Robust and Reliable Method to Detect Modulations of Spike-Spike Synchronization Across Experimental Conditions. Frontiers Neuroinformatics 5: 14 (2011) - 2010
- [i1]Germán Gómez-Herrero, Wei Wu, Kalle Rutanen, Miguel C. Soriano, Gordon Pipa, Raul Vicente:
Assessing coupling dynamics from an ensemble of time series. CoRR abs/1008.0539 (2010)
Coauthor Index
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last updated on 2024-12-10 21:42 CET by the dblp team
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