Wei Wu - RankMe

62 papers Misc 1Journal 54Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Efficient Super-Resolution Bayesian Eletromagnetic Brain Imaging. IEEE Trans. Biomed. Eng. Chang Cai, Xinbao Qi, Jing Yan, Yingying Shang, Kensuke Sekihara, Wei Wu, Srikantan S. Nagarajan
2026	J	`jnl`	VSSI 2 p -Net: Physics-guided deep unfolding with L 2 p -norm and variation sparsity for EEG source imaging. NeuroImage Luhua Wang, Jun Zhang, Zhenghui Gu, Ke Liu, Wei Wu, Tianyou Yu, Zhuliang Yu, Yuanqing Li
2025	J	`jnl`	ADMM-ESINet: A Deep Unrolling Network for EEG Extended Source Imaging. IEEE J. Biomed. Health Informatics Ke Liu, Hang Jiang, Hu Yang, Jun Zhang, Zhenghui Gu, Zhuliang Yu, Yu Zhang, Bin Xiao, Wei Wu
2025	J	`jnl`	DMSACNN: Deep Multiscale Attentional Convolutional Neural Network for EEG-Based Motor Decoding. IEEE J. Biomed. Health Informatics Ke Liu, Xin Xing, Tao Yang, Zhuliang Yu, Bin Xiao, Guoyin Wang, Wei Wu
2025	J	`jnl`	Dynamic Emotion-Dependent Network With Relational Subgraph Interaction for Multimodal Emotion Recognition. IEEE Trans. Affect. Comput. Ye Wang, Wei Zhang, Ke Liu, Wei Wu, Feng Hu, Hong Yu, Guoyin Wang
2025	J	`jnl`	EEG-Based Cross-Subject Emotion Recognition Using Sparse Bayesian Learning With Enhanced Covariance Alignment. IEEE Trans. Affect. Comput. Wenlong Wang, Feifei Qi, Weichen Huang, Yuanqing Li, Zhuliang Yu, Wei Wu
2025	J	`jnl`	EmotionMIL: An End-to-End Multiple Instance Learning Framework for Emotion Recognition From EEG Signals. IEEE Trans. Affect. Comput. Jun Xiao, Feifei Qi, Lingli Wang, Yanbin He, Jingang Yu, Wei Wu, Zhuliang Yu, Yuanqing Li, Zhenghui Gu, Tianyou Yu
2025	J	`jnl`	Enhancing EEG-Based Cross-Subject Emotion Recognition via Adaptive Source Joint Domain Adaptation. IEEE Trans. Affect. Comput. Ke Liu, Xin Luo, Wenrui Zhu, Zhu Liang Yu, Hong Yu, Bin Xiao, Wei Wu
2025	J	`jnl`	Functional Connectivity Analysis of Children With Autism Under Emotional Clips. IEEE Trans. Affect. Comput. Chang Cai, Jiahui Wang, Jun Lin, Kang Yang, Huicong Kang, Jingying Chen, Wei Wu
2025	J	`jnl`	Multi-View Self-Supervised Learning Enhances Automatic Sleep Staging From EEG Signals. IEEE Trans. Biomed. Eng. Tianyou Yu, Xinxin Hu, Yanbin He, Wei Wu, Zhenghui Gu, Zhuliang Yu, Yuanqing Li, Fei Wang, Jun Xiao
2025	J	`jnl`	Representation Learning and Foundation Models for Electroencephalography Analyses: Current trends, fundamental insights, and future directions. IEEE Signal Process. Mag. Zhe Sage Chen, Bao-Liang Lu, Wei Wu
2024	J	`jnl`	Electromagnetic Source Imaging via a Data-Synthesis-Based Convolutional Encoder-Decoder Network. IEEE Trans. Neural Networks Learn. Syst. Gexin Huang, Ke Liu, Jiawen Liang, Chang Cai, Zhenghui Gu, Feifei Qi, Yuanqing Li, Zhu Liang Yu, Wei Wu
2024	J	`jnl`	FBSTCNet: A Spatio-Temporal Convolutional Network Integrating Power and Connectivity Features for EEG-Based Emotion Decoding. IEEE Trans. Affect. Comput. Weichen Huang, Wenlong Wang, Yuanqing Li, Wei Wu
2024	J	`jnl`	MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding. IEEE J. Biomed. Health Informatics Ke Liu, Tao Yang, Zhuliang Yu, Weibo Yi, Hong Yu, Guoyin Wang, Wei Wu
2023	J	`jnl`	Accurate edge-preserving stereo matching by enhancing anisotropy. Signal Process. Image Commun. Shimeng Fan, Wei Sun, Jin Zheng, Qiang Fu, Min Xue, Wei Wu
2023	J	`jnl`	Bayesian Adaptive Beamformer for Robust Electromagnetic Brain Imaging of Correlated Sources in High Spatial Resolution. IEEE Trans. Medical Imaging Chang Cai, Yuanshun Long, Sanjay Ghosh, Ali Hashemi, Yijing Gao, Mithun Diwakar, Stefan Haufe, Kensuke Sekihara, Wei Wu, Srikantan S. Nagarajan
2023	J	`jnl`	Bayesian Algorithms for Joint Estimation of Brain Activity and Noise in Electromagnetic Imaging. IEEE Trans. Medical Imaging Chang Cai, Huicong Kang, Ali Hashemi, Dan Chen, Mithun Diwakar, Stefan Haufe, Kensuke Sekihara, Wei Wu, Srikantan S. Nagarajan
2023	J	`jnl`	FBMSNet: A Filter-Bank Multi-Scale Convolutional Neural Network for EEG-Based Motor Imagery Decoding. IEEE Trans. Biomed. Eng. Ke Liu, Mingzhao Yang, Zhuliang Yu, Guoyin Wang, Wei Wu
2023	J	`jnl`	Neurofeedback Training With an Electroencephalogram-Based Brain-Computer Interface Enhances Emotion Regulation. IEEE Trans. Affect. Comput. Weichen Huang, Wei Wu, Molly V. Lucas, Haiyun Huang, Zhenfu Wen, Yuanqing Li
2023	J	`jnl`	Robust Bayesian Estimation of EEG-Based Brain Causality Networks. IEEE Trans. Biomed. Eng. Ke Liu, Qin Lai, Peiyang Li, Zhuliang Yu, Bin Xiao, Cuntai Guan, Wei Wu
2023	J	`jnl`	Sparse Bayesian Learning for End-to-End EEG Decoding. IEEE Trans. Pattern Anal. Mach. Intell. Wenlong Wang, Feifei Qi, David Paul Wipf, Chang Cai, Tianyou Yu, Yuanqing Li, Yu Zhang, Zhuliang Yu, Wei Wu
2023	J	`jnl`	WRA-MTSI: A Robust Extended Source Imaging Algorithm Based on Multi-Trial EEG. IEEE Trans. Biomed. Eng. Ke Liu, Zhen Wang, Zhuliang Yu, Bin Xiao, Hong Yu, Wei Wu
2022	J	`jnl`	A hybrid whale optimization algorithm with artificial bee colony. Soft Comput. Chenjun Tang, Wei Sun, Min Xue, Xing Zhang, Hongwei Tang, Wei Wu
2022	J	`jnl`	HFF6D: Hierarchical Feature Fusion Network for Robust 6D Object Pose Tracking. IEEE Trans. Circuits Syst. Video Technol. Jian Liu, Wei Sun, Chongpei Liu, Xing Zhang, Shimeng Fan, Wei Wu
2022	J	`jnl`	Improving EEG Decoding via Clustering-Based Multitask Feature Learning. IEEE Trans. Neural Networks Learn. Syst. Yu Zhang, Tao Zhou, Wei Wu, Hua Xie, Hongru Zhu, Guoxu Zhou, Andrzej Cichocki
2022	J	`jnl`	Multimodal Vigilance Estimation Using Deep Learning. IEEE Trans. Cybern. Wei Wu, Wei Sun, Q. M. Jonathan Wu, Yimin Yang, Hui Zhang, Wei-Long Zheng, Bao-Liang Lu
2021	J	`jnl`	A Regression Method With Subnetwork Neurons for Vigilance Estimation Using EOG and EEG. IEEE Trans. Cogn. Dev. Syst. Wei Wu, Q. M. Jonathan Wu, Wei Sun, Yimin Yang, Xiaofang Yuan, Wei-Long Zheng, Bao-Liang Lu
2021	J	`jnl`	Editorial: Inter- and Intra-subject Variability in Brain Imaging and Decoding. Frontiers Comput. Neurosci. Chun-Shu Wei, Corey J. Keller, Junhua Li, Yuan-Pin Lin, Masaki Nakanishi, Johanna Wagner, Wei Wu, Yu Zhang, Tzyy-Ping Jung
2021	J	`jnl`	Faster Single Model Vigilance Detection Based on Deep Learning. IEEE Trans. Cogn. Dev. Syst. Wei Wu, Wei Sun, Q. M. Jonathan Wu, Cheng Zhang, Yimin Yang, Hongshan Yu, Bao-Liang Lu
2021	J	`jnl`	Spatiotemporal-Filtering-Based Channel Selection for Single-Trial EEG Classification. IEEE Trans. Cybern. Feifei Qi, Wei Wu, Zhu Liang Yu, Zhenghui Gu, Zhenfu Wen, Tianyou Yu, Yuanqing Li
2021	J	`jnl`	fMRI-SI-STBF: An fMRI-informed Bayesian electromagnetic spatio-temporal extended source imaging. Neurocomputing Ke Liu, Zhu Liang Yu, Wei Wu, Xun Chen, Zhenghui Gu, Cuntai Guan
2020	—	`conf`	A Logistic Regression Based Framework for Spatio-Temporal Feature Representation and Classification of Single-Trial EEG. ICCSIP Feifei Qi, Wei Wu, Ke Liu, Tianyou Yu, Yang Cao
2020	J	`jnl`	Electromagnetic Source Imaging via a Data-Synthesis-Based Denoising Autoencoder. CoRR Gexin Huang, Zhu Liang Yu, Wei Wu, Ke Liu, Zhenghui Gu, Feifei Qi, Yuanqing Li, Jiawen Liang
2020	J	`jnl`	Imaging brain extended sources from EEG/MEG based on variation sparsity using automatic relevance determination. Neurocomputing Ke Liu, Zhu Liang Yu, Wei Wu, Zhenghui Gu, Yuanqing Li
2020	J	`jnl`	Improving EEG Decoding via Clustering-based Multi-task Feature Learning. CoRR Yu Zhang, Tao Zhou, Wei Wu, Hua Xie, Hongru Zhu, Guoxu Zhou, Andrzej Cichocki
2019	J	`jnl`	A Novel Hybrid-Jump-Based Sampling Method for Complex Social Networks. IEEE Trans. Comput. Soc. Syst. Lianggui Liu, Lingmin Wang, Wei Wu, Huiling Jia, Yu Zhang
2019	—	`conf`	A hybrid improved whale optimization algorithm. ICCA Chenjun Tang, Wei Sun, Wei Wu, Min Xue
2019	J	`jnl`	A novel multi-step Q-learning method to improve data efficiency for deep reinforcement learning. Knowl. Based Syst. Yinlong Yuan, Zhu Liang Yu, Zhenghui Gu, Yao Yeboah, Wei Wu, Xiaoyan Deng, Jingcong Li, Yuanqing Li
2019	—	`conf`	An Efficient Path Planning Algorithm for Mobile Robots. ICCA Zheng Zeng, Wei Sun, Wei Wu, Min Xue, Lin Qian
2019	J	`jnl`	Bayesian Electromagnetic Spatio-Temporal Imaging of Extended Sources Based on Matrix Factorization. IEEE Trans. Biomed. Eng. Ke Liu, Zhu Liang Yu, Wei Wu, Zhenghui Gu, Jun Zhang, Ling Cen, Srikantan S. Nagarajan, Yuanqing Li
2019	J	`jnl`	Optimizing simple deterministically constructed cycle reservoir network with a Redundant Unit Pruning Auto-Encoder algorithm. Neurocomputing Heshan Wang, Q. M. Jonathan Wu, Jie Wang, Wei Wu, Kunjie Yu
2018	—	`conf`	Complex Network Analysis Of Resting State Electroencephalography in Stroke. DSP Jiayu Qiu, Wei Wu, Feifei Qi, Baiquan Zeng, Yi Guo, Ge Dang
2018	J	`jnl`	Deep learning based on Batch Normalization for P300 signal detection. Neurocomputing Mingfei Liu, Wei Wu, Zhenghui Gu, Zhuliang Yu, Feifei Qi, Yuanqing Li
2018	J	`jnl`	Variation sparse source imaging based on conditional mean for electromagnetic extended sources. Neurocomputing Ke Liu, Zhu Liang Yu, Wei Wu, Zhenghui Gu, Yuanqing Li, Srikantan S. Nagarajan
2017	J	`jnl`	A Novel Algorithm for Learning Sparse Spatio-Spectral Patterns for Event-Related Potentials. IEEE Trans. Neural Networks Learn. Syst. Chaohua Wu, Ke Lin, Wei Wu, Xiaorong Gao
2017	—	`conf`	An Algorithm Combining Spatial Filtering and Temporal Down-Sampling with Applications to ERP Feature Extraction. ICONIP (2) Feifei Qi, Yuanqing Li, Zhenfu Wen, Wei Wu
2016	J	`jnl`	Bayesian Machine Learning: EEG\/MEG signal processing measurements. IEEE Signal Process. Mag. Wei Wu, Srikantan S. Nagarajan, Zhe Chen
2016	J	`jnl`	Bayesian electromagnetic spatio-temporal imaging of extended sources with Markov Random Field and temporal basis expansion. NeuroImage Ke Liu, Zhu Liang Yu, Wei Wu, Zhenghui Gu, Yuanqing Li, Srikantan S. Nagarajan
2016	J	`jnl`	Multimodal BCIs: Target Detection, Multidimensional Control, and Awareness Evaluation in Patients With Disorder of Consciousness. Proc. IEEE Yuanqing Li, Jiahui Pan, Jinyi Long, Tianyou Yu, Fei Wang, Zhuliang Yu, Wei Wu
2015	J	`jnl`	Probabilistic Common Spatial Patterns for Multichannel EEG Analysis. IEEE Trans. Pattern Anal. Mach. Intell. Wei Wu, Zhe Chen, Xiaorong Gao, Yuanqing Li, Emery N. Brown, Shangkai Gao
2015	J	`jnl`	RSTFC: A Novel Algorithm for Spatio-Temporal Filtering and Classification of Single-Trial EEG. IEEE Trans. Neural Networks Learn. Syst. Feifei Qi, Yuanqing Li, Wei Wu
2015	J	`jnl`	STRAPS: A Fully Data-Driven Spatio-Temporally Regularized Algorithm for M/EEG Patch Source Imaging. Int. J. Neural Syst. Ke Liu, Zhu Liang Yu, Wei Wu, Zhenghui Gu, Yuanqing Li
2015	J	`jnl`	Spectral-Spatial Classification of Hyperspectral Images via Spatial Translation-Invariant Wavelet-Based Sparse Representation. IEEE Trans. Geosci. Remote. Sens. Lin He, Yuanqing Li, Xiaoxin Li, Wei Wu
2014	J	`jnl`	Bayesian estimation of ERP components from multicondition and multichannel EEG. NeuroImage Wei Wu, Chaohua Wu, Shangkai Gao, Baolin Liu, Yuanqing Li, Xiaorong Gao
2011	J	`jnl`	A hierarchical Bayesian approach for learning sparse spatio-temporal decompositions of multichannel EEG. NeuroImage Wei Wu, Zhe Chen, Shangkai Gao, Emery N. Brown
2011	J	`jnl`	Corrigendum to a hierarchical bayesian approach for learning sparse spatio-temporal decomposition of multichannel EEG [NeuroImage 56/4 (2011) 1929-1945]. NeuroImage Wei Wu, Zhe Chen, Shangkai Gao, Emery N. Brown
2010	Misc	`conf`	Hierarchical Bayesian modeling of inter-trial variability and variational Bayesian learning of common spatial patterns from multichannel EEG. ICASSP Wei Wu, Zhe Chen, Shangkai Gao, Emery N. Brown
2008	J	`jnl`	Classifying Single-Trial EEG During Motor Imagery by Iterative Spatio-Spectral Patterns Learning (ISSPL). IEEE Trans. Biomed. Eng. Wei Wu, Xiaorong Gao, Bo Hong, Shangkai Gao
2007	J	`jnl`	Frequency Recognition Based on Canonical Correlation Analysis for SSVEP-Based BCIs. IEEE Trans. Biomed. Eng. Zhonglin Lin, Changshui Zhang, Wei Wu, Xiaorong Gao
2006	—	`conf`	Cortical Connectivity Patterns During Imagination Of Limb Movements In Normal Subjects And In A Spinal Cord Injured Patient. EMBC Laura Astolfi, Febo Cincotti, Donatella Mattia, Marco Mattiocco, Fabrizio de Vico Fallani, Maria Grazia Marciani, Mauro Ursino, Melissa Zavaglia, Shangkai Gao, Wei Wu, Fabio Babiloni
2006	J	`jnl`	Frequency Recognition Based on Canonical Correlation Analysis for SSVEP-Based BCIs. IEEE Trans. Biomed. Eng. Zhonglin Lin, Changshui Zhang, Wei Wu, Xiaorong Gao
2006	—	`conf`	Localization of FFA Using SSVEP-based Binocular Rivalry. EMBC Ruiping Wang, Yajing Zhang, Wei Wu, Hesheng Liu, Xiaorong Gao, Shangkai Gao