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Yiwen Wang, Ph.D.

Affiliations: 
2004-2008 Electrical and Computer Engineering University of Florida, Gainesville, Gainesville, FL, United States 
 2008-2010 Electronic and Computer Engineering Hong Kong Univ. of Sci. & Technology 
 2010-2016 Qiushi Academy of Advanced Study Zhejiang University, Hangzhou Shi, Zhejiang Sheng, China 
 2017- Electronic and Computer Engineering Hong Kong Univ. of Sci. & Technology 
Area:
Electronics and Electrical Engineering, Biomedical Engineering
Website:
https://ece.ust.hk/eewangyw
Google:
"Yiwen Wang"
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Parents

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Jose Carlos Principe grad student 2008 UF Gainesville
 (Point process Monte Carlo filtering for brain machine interfaces.)

Children

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Yuxi Liao grad student 2014 Zhejiang University
Fang Wang grad student 2015 Zhejiang University
Kai Xu grad student 2015 Zhejiang University
Yan Cao grad student 2016 Zhejiang University
Lei Jiang grad student 2017 Zhejiang University
Hongbao Li grad student 2017 Zhejiang University

Collaborators

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Publications

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Wu S, Zhang X, Wang Y. (2024) Neural Manifold Constraint for Spike Prediction Models Under Behavioral Reinforcement. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society. 32: 2772-2781
Wu S, Wang Y. (2023) Applying Neural Manifold Constraint on Point Process Model for Neural Spike Prediction. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2023: 1-4
Huang Y, Zhang X, Wang Y. (2023) Decoding Ensemble Spike States from Extracellular Field Potentials. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2023: 1-4
Zhang X, Wang Y. (2023) A Kernel Reinforcement Learning Decoding Framework Integrating Neural and Feedback Signals for Brain Control. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2023: 1-4
Tan J, Zhang X, Wu S, et al. (2023) State-space Model Based Inverse Reinforcement Learning for Reward Function Estimation in Brain-machine Interfaces. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2023: 1-4
Chen S, Wang Y. (2023) A Bayesian Decoder Representing Single-Directional Connectivity between Neurons in Brain-Machine Interface. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2023: 1-4
Li M, Chen S, Zhao Z, et al. (2023) Tracking the Dynamic Neural Connectivity via Conjugate Gradient Optimization. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2023: 1-4
Chen S, Zhang X, Shen X, et al. (2023) Online Estimating Pairwise Neuronal Functional Connectivity in Brain-Machine Interface. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society
Zhang X, Chen S, Wang Y. (2023) Kernel Reinforcement Learning-Assisted Adaptive Decoder Facilitates Stable and Continuous Brain Control Tasks. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society. 31: 4125-4134
Shen X, Zhang X, Huang Y, et al. (2022) Intermediate Sensory Feedback Assisted Multi-Step Neural Decoding for Reinforcement Learning based Brain-Machine Interfaces. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society
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