☰ Neurotree

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

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Parents

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

Children

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

BETA: Related publications

Publications

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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
Song Z, Zhang X, Wang Y. (2022) Cluster Kernel Reinforcement Learning-based Kalman Filter for Three-Lever Discrimination Task 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. 2022: 690-693

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