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ORCIDYiwen Wang 0002
Person information
- affiliation: Hong Kong University of Science and Technology
- affiliation (former): Zhejiang University, Hangzhou, Qiushi Academy of Advanced Studies
- affiliation (former): University of Florida, Gainesville, FL, USA
Other persons with the same name
- Yiwen Wang — disambiguation page
- Yiwen Wang 0001 — Eindhoven University of Technology, The Netherlands
- Yiwen Wang 0003 — Feng Chia University, Taichung
- Yiwen Wang 0004 — Central South University, Changsha, School of Software
- Yiwen Wang 0005 — Tokyo Institute Of Technology, Department of Communications and Integrated Systems
- Yiwen Wang 0006 — Michigan State University, East Lansing, Department of Electrical and Computer Engineering
- Yiwen Wang 0007
![[0000-0002-4531-2222]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-4531-2222")
— University of Copenhagen, Department of Computer Science, Denmark
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2020 – today
- 2023
[j22]Zhijia Zhao, Yiming Liu, Sentao Cai, Zhifu Li, Yiwen Wang, Keum-Shik Hong, Han-Xiong Li:
Adaptive Quantized Control of Flexible Manipulators Subject to Unknown Dead Zones. IEEE Trans. Syst. Man Cybern. Syst. 53(10): 6438-6447 (2023)- [c47]Mingdong Li, Shuhang Chen, Zhijia Zhao, Yiwen Wang:
Tracking the Dynamic Neural Connectivity via Conjugate Gradient Optimization. EMBC 2023: 1-4 - [c46]Shenghui Wu, Yiwen Wang:
Applying Neural Manifold Constraint on Point Process Model for Neural Spike Prediction. EMBC 2023: 1-4 - [c45]Xiang Zhang, Yiwen Wang:
A Kernel Reinforcement Learning Decoding Framework Integrating Neural and Feedback Signals for Brain Control. EMBC 2023: 1-4 - [c44]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
- [c43]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 - [c42]Mingdong Li, Shuhang Chen, Xi Liu, Zhiwei Song, Yiwen Wang:
Modeling Neural Connectivity in a Point-Process Analogue of Kalman Filter. EMBC 2022: 768-771 - [c41]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
- [j21]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) - [j20]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) - [j19]Yiwen Wang, José C. Príncipe:
Reinforcement Learning in Reproducing Kernel Hilbert Spaces: Enabling Continuous Brain?Machine Interface Adaptation. IEEE Signal Process. Mag. 38(4): 34-45 (2021) - [c40]Weihan Li, Cunle Qian, Yu Qi, Yiwen Wang, Yueming Wang, Gang Pan:
Efficient Point-Process Modeling of Spiking Neurons for Neuroprosthesis. EMBC 2021: 6198-6202 - [c39]Xiang Zhang, Zhiwei Song, Yiwen Wang:
Reinforcement Learning-based Kalman Filter for Adaptive Brain Control in Brain-Machine Interface*. EMBC 2021: 6619-6622 - [c38]Jieyuan Tan, Xiang Shen, Xiang Zhang, Yiwen Wang:
Multivariate Encoding Analysis of Medial Prefrontal Cortex Cortical Activity during Task Learning. EMBC 2021: 6699-6702 - [c37]Xiang Shen, Xiang Zhang, Yiwen Wang:
Kernel Temporal Difference based Reinforcement Learning for Brain Machine Interfaces*. EMBC 2021: 6721-6724 - [c36]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
- [j18]Cunle Qian, Xuyun Sun, Yueming Wang, Xiaoxiang Zheng, Yiwen Wang, Gang Pan:
Binless Kernel Machine: Modeling Spike Train Transformation for Cognitive Neural Prostheses. Neural Comput. 32(10): 1863-1900 (2020) - [c35]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 - [c34]Xiang Zhang, Yiwen Wang:
Covariant Cluster Transfer for Kernel Reinforcement Learning in Brain-Machine Interface. EMBC 2020: 3086-3089 - [c33]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 - [c32]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 - [c31]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
- 2019
- [c30]Xiang Zhang, Yiwen Wang:
A Weight Transfer Mechanism for Kernel Reinforcement Learning Decoding in Brain-Machine Interfaces. EMBC 2019: 3547-3550 - [c29]Cunle Qian, Xuyun Sun, Zaiyue Yang, Gang Pan, Yiwen Wang:
A K-Medoids based Point-Process Modeling on Neural Spike Transformation using Binless Kernel. EMBC 2019: 4387-4390 - [c28]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 - [c27]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 - [c26]Shuhang Chen, Xiang Zhang, Xiang Shen, Yifan Huang, Yiwen Wang:
Decoding Transition between Kinematics Stages for Brain-Machine Interface. SMC 2019: 3592-3597 - 2018
- [j17]Cunle Qian, Xuyun Sun, Shaomin Zhang, Dong Xing, Hongbao Li, Xiaoxiang Zheng, Gang Pan, Yiwen Wang:
Nonlinear Modeling of Neural Interaction for Spike Prediction Using the Staged Point-Process Model. Neural Comput. 30(12) (2018) - [j16]Dong Xing, Cunle Qian, Hongbao Li, Shaomin Zhang, Qiaosheng Zhang, Yaoyao Hao, Xiaoxiang Zheng, Zhaohui Wu, Yiwen Wang, Gang Pan:
Predicting Spike Trains from PMd to M1 Using Discrete Time Rescaling Targeted GLM. IEEE Trans. Cogn. Dev. Syst. 10(2): 194-204 (2018) - [c25]Zitong Zhang, Shuhang Chen, Zaiyue Yang, Yiwen Wang:
Tracking the Time Varying Neural Tuning via Adam on Point Process Observations. EMBC 2018: 195-198 - [c24]Xiang Zhang, José C. Príncipe, Yiwen Wang:
Clustering Based Kernel Reinforcement Learning for Neural Adaptation in Brain-Machine Interfaces. EMBC 2018: 6125-6128 - [c23]Yiwen Wang, Jingchuan Wang, Weidong Chen:
Grasp Planning Based On Scene Grasp Ability In Unstructured Environment. ROBIO 2018: 1477-1482 - 2017
- [j15]Lei Jiang, Yun Wang, Bangyu Cai, Yueming Wang, Yiwen Wang:
Spatial-Temporal Feature Analysis on Single-Trial Event Related Potential for Rapid Face Identification. Frontiers Comput. Neurosci. 11: 106 (2017) - [j14]Fang Wang, Yiwen Wang, Kai Xu, Hongbao Li, Yuxi Liao, Qiaosheng Zhang, Shaomin Zhang, Xiaoxiang Zheng, José C. Príncipe:
Quantized Attention-Gated Kernel Reinforcement Learning for Brain-Machine Interface Decoding. IEEE Trans. Neural Networks Learn. Syst. 28(4): 873-886 (2017) - [c22]Junjun Chen, Kai Xu, Zaiyue Yang, Yiwen Wang:
Detecting abrupt change in neuronal tuning via adaptive point process estimation. EMBC 2017: 4395-4398 - 2016
- [j13]Yiwen Wang, Xiwei She, Yuxi Liao, Hongbao Li, Qiaosheng Zhang, Shaomin Zhang, Xiaoxiang Zheng, José C. Príncipe:
Tracking Neural Modulation Depth by Dual Sequential Monte Carlo Estimation on Point Processes for Brain-Machine Interfaces. IEEE Trans. Biomed. Eng. 63(8): 1728-1741 (2016) - [c21]Hongbao Li, Fang Wang, Qiaosheng Zhang, Shaomin Zhang, Yiwen Wang, Xiaoxiang Zheng, José C. Príncipe:
Maximum correntropy based attention-gated reinforcement learning designed for brain machine interface. EMBC 2016: 3056-3059 - 2015
- [j12]Yueming Wang, Yu Qi, Junming Zhu, Jian-Min Zhang, Yiwen Wang, Xiaoxiang Zheng, Zhaohui Wu:
A Cauchy-Based State-Space Model for Seizure Detection in EEG Monitoring Systems. IEEE Intell. Syst. 30(1): 6-12 (2015) - [j11]Yiwen Wang, Lei Jiang, Yun Wang, Bangyu Cai, Yueming Wang, Weidong Chen, Sanyuan Zhang, Xiaoxiang Zheng:
An Iterative Approach for EEG-Based Rapid Face Search: A Refined Retrieval by Brain Computer Interfaces. IEEE Trans. Auton. Ment. Dev. 7(3): 211-222 (2015) - [c20]Hongbao Li, Yuxi Liao, Yiwen Wang, Qiaosheng Zhang, Shaomin Zhang, Xiaoxiang Zheng:
Prediction of switching time between movement preparation and execution by neural activity in monkey premotor cortex. EMBC 2015: 2612-2615 - [c19]Guanghao Sun, Lichao Wang, Qiaosheng Zhang, Yiwen Wang, Kedi Xu, Shaomin Zhang, Xiaoxiang Zheng:
Dorsal premotor cortex of the macaque monkey participate grasp planning. NER 2015: 66-69 - [c18]Lei Jiang, Yun Wang, Bangyu Cai, Yiwen Wang, Weidong Chen, Xiaoxiang Zheng:
Rapid face recognition based on single-trial event-related potential detection over multiple brains. NER 2015: 106-109 - [c17]Yun Wang, Lei Jiang, Bangyu Cai, Yiwen Wang, Shaomin Zhang, Xiaoxiang Zheng:
A closed-loop system for rapid face retrieval by combining EEG and computer vision. NER 2015: 130-133 - [c16]Lichao Wang, Guanghao Sun, Zhaozhong Gui, Yiwen Wang, Shaomin Zhang, Xiaoxiang Zheng:
A reconfigurable general behavior data acquisition system for motor brain machine interface. NER 2015: 134-137 - 2014
- [c15]Yan Cao, Fang Wang, Qiaosheng Zhang, Kedi Xu, Yiwen Wang, Xiaoxiang Zheng:
Cortical discrimination of natural vibration stimulation in rats for a BMI task. BioCAS 2014: 608-611 - [c14]Yuxi Liao, Hongbao Li, Qiaosheng Zhang, Gong Fan, Yiwen Wang, Xiaoxiang Zheng:
Decoding the non-stationary neuron spike trains by dual Monte Carlo point process estimation in motor Brain Machine Interfaces. EMBC 2014: 6513-6516 - [c13]Luoqing Zhou, Yu Qi, Yueming Wang, Gang Pan, Yiwen Wang, Xiaoxiang Zheng, Zhaohui Wu:
Decoding motor cortical activities of Monkey: A dataset. IJCNN 2014: 3865-3870 - [c12]Xiwei She, Yuxi Liao, Hongbao Li, Qiaosheng Zhang, Yiwen Wang, Xiaoxiang Zheng:
Clustering and observation on neuron tuning property for brain machine interfaces. MFI 2014: 1-8 - 2013
- [j10]Yan Cao, Yaoyao Hao, Yuxi Liao, Kai Xu, Yiwen Wang, Shaomin Zhang, Qiaosheng Zhang, Weidong Chen, Xiaoxiang Zheng:
Information Analysis on Neural Tuning in Dorsal Premotor Cortex for Reaching and Grasping. Comput. Math. Methods Medicine 2013: 730374:1-730374:9 (2013) - [j9]Xinxin Lou, Siyuan Xiao, Yu Qi, Xiaoling Hu, Yiwen Wang, Xiaoxiang Zheng:
Corticomuscular Coherence Analysis on Hand Movement Distinction for Active Rehabilitation. Comput. Math. Methods Medicine 2013: 908591:1-908591:10 (2013) - [j8]Zaiyue Yang, Yiwen Wang, Youxian Sun:
Universal stabilisation design for uncertain nonlinear system with sign-switching unknown control direction. Int. J. Control 86(1): 172-182 (2013) - [c11]Lei Jiang, Bangyu Cai, Siyuan Xiao, Yiwen Wang, Weidong Chen, Xiaoxiang Zheng:
Semantic-based sound retrieval by ERP in rapid serial auditory presentation paradigm. EMBC 2013: 2788-2791 - [c10]Siyuan Xiao, Bangyu Cai, Lei Jiang, Yiwen Wang, Weidong Chen, Xiaoxiang Zheng:
ERP component analysis for rapid image searching in finer categories. EMBC 2013: 3089-3092 - [c9]Xi Chen, Yuxi Liao, Yiwen Wang, Shaomin Zhang, Qiaosheng Zhang, Xiaoxiang Zheng:
A Shared Control Policy for Center-Out Movement Decoding in Motor Brain-Machine Interface. ICONS 2013: 345-348 - 2012
- [j7]Bian Wu, Fan Yang, Ji-cai Zhang, Yiwen Wang, Xiaoxiang Zheng, Weidong Chen:
A frequency-temporal-spatial method for motor-related electroencephalography pattern recognition by comprehensive feature optimization. Comput. Biol. Medicine 42(4): 353-363 (2012) - [c8]Yuxi Liao, Yiwen Wang, Xiaoxiang Zheng, José C. Príncipe:
Mutual information analysis on non-stationary neuron importance for brain machine interfaces. EMBC 2012: 2748-2751 - 2011
- [j6]Shaomin Zhang, Yuxi Liao, Xiaoxiang Zheng, Weidong Chen, Yiwen Wang:
Decoding the nonstationary neural activity in motor cortex for brain machine interfaces. Int. J. Imaging Syst. Technol. 21(2): 158-164 (2011) - [j5]Zaiyue Yang, Che Wai Chan, Yiwen Wang:
A High-Accuracy Detection and Estimation Method of Intermodulated Sinusoids. IEEE Trans. Circuits Syst. I Regul. Pap. 58-I(10): 2477-2484 (2011) - [c7]Kai Xu, Yueming Wang, Shaomin Zhang, Ting Zhao, Yiwen Wang, Weidong Chen, Xiaoxiang Zheng:
Comparisons between linear and nonlinear methods for decoding motor cortical activities of monkey. EMBC 2011: 4207-4210 - [c6]Dong Wang, Yaoyao Hao, Xiaoping Zhu, Ting Zhao, Yiwen Wang, Yaowu Chen, Weidong Chen, Xiaoxiang Zheng:
FPGA implementation of hardware processing modules as coprocessors in brain-machine interfaces. EMBC 2011: 4613-4616 - 2010
- [j4]Zaiyue Yang, Sheung Chi Phillip Yam, L. K. Li, Yiwen Wang:
Universal Repetitive Learning Control for Nonparametric Uncertainty and Unknown State-Dependent Control Direction Matrix. IEEE Trans. Autom. Control. 55(7): 1710-1715 (2010)
2000 – 2009
- 2009
- [j3]Yiwen Wang, António R. C. Paiva, José C. Príncipe, Justin C. Sanchez:
Sequential Monte Carlo Point-Process Estimation of Kinematics from Neural Spiking Activity for Brain-Machine Interfaces. Neural Comput. 21(10): 2894-2930 (2009) - [j2]Yiwen Wang, José C. Príncipe, Justin C. Sanchez:
Ascertaining neuron importance by information theoretical analysis in motor Brain-Machine Interfaces. Neural Networks 22(5-6): 781-790 (2009) - [j1]Weifeng Liu, Il Park, Yiwen Wang, José C. Príncipe:
Extended kernel recursive least squares algorithm. IEEE Trans. Signal Process. 57(10): 3801-3814 (2009) - [c5]Zaiyue Yang, Che Wai Chan, Yiwen Wang:
On retrieval of intermodulated sinusoids. CDC 2009: 7273-7278 - [c4]Yiwen Wang, Justin C. Sanchez, José Carlos Príncipe:
Selecting neural subsets for kinematics decoding by information theoretical analysis in motor Brain Machine Interfaces. IJCNN 2009: 3275-3280 - 2007
- [c3]Yiwen Wang, António R. C. Paiva, José C. Príncipe, Justin C. Sanchez:
A Monte Carlo Sequential Estimation of Point Process Optimum Filtering for Brain Machine Interfaces. IJCNN 2007: 2250-2255 - 2006
- [c2]Yiwen Wang, Justin C. Sanchez, José C. Príncipe, Jeremiah D. Mitzelfelt, Aysegul Gunduz:
Analysis of the Correlation between Local Field Potentials and Neuronal Firing Rate in the Motor Cortex. EMBC 2006: 6185-6188 - [c1]Yiwen Wang, António R. C. Paiva, José C. Príncipe:
A Monte Carlo Sequential Estimation for Point Process Optimum Filtering. IJCNN 2006: 1846-1850
Coauthor Index
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