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Xiang Zhang 0025

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affiliation: Hong Kong University of Science and Technology, Department of Electronic and Computer Engineering, Hong Kong

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Xiang Zhang — disambiguation page
Xiang Zhang 0001 — Pennsylvania State University, University Park, PA, USA (and 2 more)
Xiang Zhang 0002 — Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, China (and 1 more)
Xiang Zhang 0003 — University of Louisville, Department of Chemistry, KY, USA
Xiang Zhang 0004 — Tencent America, Media Laboratory, Palo Alto, CA, USA (and 1 more)
Xiang Zhang 0005 — Arizona State University, School of Computing, Informatics, and Decision Systems Engineering, Tempe, AZ, USA
Xiang Zhang 0006 — University of Electronic Science and Technology of China, School of Electronic Engineering, Chengdu, China (and 1 more)
Xiang Zhang 0007 — Nanyang Technological University, School of Electrical and Electronic Engineering, Centre of Excellence in IC Design, Singapore
Xiang Zhang 0008 — National University of Defense Technology, College of Computer, Science and Technology on Parallel and Distributed Processing Laboratory, Changsha, China
Xiang Zhang 0009 — Shanghai Jiao Tong University, School of Mathematical Sciences, Key Laboratory of Scientific and Engineering Computing, Shanghai, China

Xiang Zhang 0010 — Wuhan University, School of Resource and Environmental Sciences, Wuhan, China
Xiang Zhang 0011 — Tianjin University, School of Cyber Security, Tianjin, China (and 2 more)
Xiang Zhang 0012 — University of North Carolina at Charlotte, Department of Computer Science, NC, USA (and 2 more)
Xiang Zhang 0013 — New York University, NY, USA (and 1 more)
Xiang Zhang 0014 — Chinese Academy of Sciences, Key Laboratory of Speech Acoustics and Content Understanding, China
Xiang Zhang 0015 — UC San Diego, CA, USA (and 1 more)
Xiang Zhang 0016 — University of Wyoming, Department of Mechanical Engineering, Laramie, WY, USA
Xiang Zhang 0017 — Dalian Maritime University, College of Transportation Engineering, Liaoning, China (and 1 more)
Xiang Zhang 0018 — Northwest University, School of Information and Technology, Xi'an, China
Xiang Zhang 0019 — University of Utah, Department of Electrical and Computer Engineering, Salt Lake City, UT, USA
Xiang Zhang 0020 — University of California Berkeley, Department of Mechanical Engineering, CA, USA
Xiang Zhang 0021 — LASAC, Land Satellite Remote Sensing Application Center, Ministry of Natural Resources, Beijing, China (and 1 more)
Xiang Zhang 0022 — Wuhan University, School of Electronic Information, China
Xiang Zhang 0023 — Hunan University, College of Computer Science and Electronic Engineering, Changsha, China
Xiang Zhang 0024 — Beijing University of Posts and Telecommunications, China Academy of Information and Communications Technology, Beijing, China
Xiang Zhang 0026 — Southeast University, School of Computer Science and Engineering, Nanjing, China
Xiang Zhang 0027 — Xiamen University, Department of Automation, Xiamen, China
Xiang Zhang 0028 — University of British Columbia, Shanghai Artificial Intelligence Laboratory, Shanghai, China

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2020 – today

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2026
[j5]
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Shenghui Wu, Zhiwei Song, Xiang Zhang, Yifan Huang, Shuhang Chen, Xiang Shen, Jieyuan Tan, Mingdong Li, Ziyi Wang, Yujun Chen, Kai Liu, Dario Farina, José C. Príncipe, Yiwen Wang:
A generative spike prediction model using behavioral reinforcement for re-establishing neural functional connectivity. Nat. Comput. Sci. 6(2): 179-192 (2026)
2025
[j4]
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Zhiwei Song, Xiang Zhang, Shuhang Chen, Jieyuan Tan, Yiwen Wang:
Kernel-Based Actor-Critic Learning Framework for Autonomous Brain Control on Trajectory. IEEE Trans. Cogn. Dev. Syst. 17(3): 554-563 (2025)
[j3]
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Xiang Zhang, Xiang Shen, Yiwen Wang:
Modeling Task Engagement to Regulate Reinforcement Learning-Based Decoding for Online Brain Control. IEEE Trans. Cogn. Dev. Syst. 17(3): 606-614 (2025)
2024
[c22]
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Zhiwei Song, Xiang Zhang, Jieyuan Tan, Mingyi Wang, Yiwen Wang:
Facilitating Knowledge Transfer: An Approach for Matching Neural Patterns between Motor Tasks. EMBC 2024: 1-4
[c21]
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Shenghui Wu, Xiang Zhang, Yifan Huang, Yiwen Wang:
Aligning Transregional Neural Dynamics with Transformer-based Variational Autoencoders^*. EMBC 2024: 1-4
2023
[c20]
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  - conf/embc/HuangZW23
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Yifan Huang, Xiang Zhang, Yiwen Wang:
Decoding Ensemble Spike States from Extracellular Field Potentials. EMBC 2023: 1-4
[c19]
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Jieyuan Tan, Xiang Zhang, Shenghui Wu, Yiwen Wang:
State-space Model Based Inverse Reinforcement Learning for Reward Function Estimation in Brain-machine Interfaces. EMBC 2023: 1-4
[c18]
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  - conf/embc/Zhang023
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Xiang Zhang, Yiwen Wang:
A Kernel Reinforcement Learning Decoding Framework Integrating Neural and Feedback Signals for Brain Control. EMBC 2023: 1-4
[c17]
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Zhiwei Song, Xiang Zhang, Yiwen Wang:
A Novel KL Divergence Optimization Method for Aligning Neural Population Patterns During Task Learning. SMC 2023: 4637-4642
2022
[c16]
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Zhiwei Song, Xiang Zhang, Yiwen Wang:
Cluster Kernel Reinforcement Learning-based Kalman Filter for Three-Lever Discrimination Task in Brain-Machine Interface. EMBC 2022: 690-693
[c15]
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Jieyuan Tan, Xiang Shen, Xiang Zhang, Zhiwei Song, Yiwen Wang:
Estimating Reward Function from Medial Prefrontal Cortex Cortical Activity using Inverse Reinforcement Learning. EMBC 2022: 3346-3349
2021
[j2]
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Xi Liu, Shuhang Chen, Xiang Shen, Xiang Zhang, Yiwen Wang:
A Nonlinear Maximum Correntropy Information Filter for High-Dimensional Neural Decoding. Entropy 23(6): 743 (2021)
[j1]
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Xi Liu, Xiang Shen, Shuhang Chen, Xiang Zhang, Yifan Huang, Yueming Wang, Yiwen Wang:
Hierarchical Dynamical Model for Multiple Cortical Neural Decoding. Neural Comput. 33(5): 1372-1401 (2021)
[c14]
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Xiang Zhang, Zhiwei Song, Yiwen Wang:
Reinforcement Learning-based Kalman Filter for Adaptive Brain Control in Brain-Machine Interface^*. EMBC 2021: 6619-6622
[c13]
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Jieyuan Tan, Xiang Shen, Xiang Zhang, Yiwen Wang:
Multivariate Encoding Analysis of Medial Prefrontal Cortex Cortical Activity during Task Learning. EMBC 2021: 6699-6702
[c12]
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Xiang Shen, Xiang Zhang, Yiwen Wang:
Kernel Temporal Difference based Reinforcement Learning for Brain Machine Interfaces^*. EMBC 2021: 6721-6724
[c11]
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  - conf/smc/HuangQZW21
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Yifan Huang, Cunle Qian, Xiang Zhang, Yiwen Wang:
Cross-Intensity-Based Spatial-Temporal Clustering of Spike Trains for Brain State Estimation. SMC 2021: 2684-2688
2020
[c10]
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  - conf/embc/ChenZSHW20
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Shuhang Chen, Xiang Zhang, Xiang Shen, Yifan Huang, Yiwen Wang:
Estimating Neural Modulation via Adaptive Point Process Method in Brain-machine Interface. EMBC 2020: 3078-3081
[c9]
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  - conf/embc/ZhangW20
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Xiang Zhang, Yiwen Wang:
Covariant Cluster Transfer for Kernel Reinforcement Learning in Brain-Machine Interface. EMBC 2020: 3086-3089
[c8]
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  - conf/embc/ShenZHCW20
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Xiang Shen, Xiang Zhang, Yifan Huang, Shuhang Chen, Yiwen Wang:
Reinforcement Learning based Decoding Using Internal Reward for Time Delayed Task in Brain Machine Interfaces. EMBC 2020: 3351-3354
[c7]
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Yifan Huang, Xiang Shen, Xiang Zhang, Shuhang Chen, Yiwen Wang:
Decoding Reward Information from Local Field Potential and Spikes in Medial Prefrontal Cortex of Rats. SMC 2020: 1015-1020
[c6]
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  - conf/smc/WuQSZHCW20
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Shenghui Wu, Cunle Qian, Xiang Shen, Xiang Zhang, Yifan Huang, Shuhang Chen, Yiwen Wang:
Investigating Co-Activation between Medial Prefrontal and Primary Motor Cortical Spike Trains during Task Learning. SMC 2020: 1269-1274

2010 – 2019

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2019
[c5]
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Xiang Zhang, Yiwen Wang:
A Weight Transfer Mechanism for Kernel Reinforcement Learning Decoding in Brain-Machine Interfaces. EMBC 2019: 3547-3550
[c4]
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  - conf/embc/HuangSWCZ19
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Yifan Huang, Xiang Shen, Yiwen Wang, Shuhang Chen, Xiang Zhang:
Time-frequency Relevancy Analysis between Local Field Potentials and Lever Pressing Motion of Rats. EMBC 2019: 7169-7172
[c3]
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  - conf/ner/ShenZHC019
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Xiang Shen, Xiang Zhang, Yifan Huang, Shuhang Chen, Yiwen Wang:
Modelling mPFC Activities in Reinforcement Learning Framework for Brain-Machine Interfaces. NER 2019: 243-246
[c2]
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Shuhang Chen, Xiang Zhang, Xiang Shen, Yifan Huang, Yiwen Wang:
Decoding Transition between Kinematics Stages for Brain-Machine Interface. SMC 2019: 3592-3597
2018
[c1]
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  - conf/embc/ZhangPW18
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Xiang Zhang, José C. Príncipe, Yiwen Wang:
Clustering Based Kernel Reinforcement Learning for Neural Adaptation in Brain-Machine Interfaces. EMBC 2018: 6125-6128

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