Li Zhang - RankMe

51 papers C 4Journal 34Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Boundary-aware Prototype-driven Adversarial Alignment for Cross-Corpus EEG Emotion Recognition. CoRR Guangli Li, Canbiao Wu, Na Tian, Li Zhang, Zhen Liang
2026	J	`jnl`	Integrating biological and machine intelligence: Attention mechanisms in brain-computer interfaces. Inf. Fusion Jiyuan Wang, Weishan Ye, Jialin He, Li Zhang, Gan Huang, Zhuliang Yu, Zhen Liang
2026	J	`jnl`	PL-DCP: A pairwise learning framework with domain and class prototypes for EEG emotion recognition under unseen target conditions. Neurocomputing Guangli Li, Canbiao Wu, Zhehao Zhou, Tuo Sun, Ping Tan, Li Zhang, Zhen Liang
2025	J	`jnl`	EEGMatch: Learning With Incomplete Labels for Semisupervised EEG-Based Cross-Subject Emotion Recognition. IEEE Trans. Neural Networks Learn. Syst. Rushuang Zhou, Weishan Ye, Zhiguo Zhang, Yanyang Luo, Li Zhang, Linling Li, Gan Huang, Yining Dong, Yuan-Ting Zhang, Zhen Liang
2025	J	`jnl`	Emotion agent: Unsupervised deep reinforcement learning with distribution-prototype reward for continuous emotional EEG analysis. Neurocomputing Zhihao Zhou, Li Zhang, Qile Liu, Gan Huang, Zhuliang Yu, Zhen Liang
2025	J	`jnl`	Integrating Biological and Machine Intelligence: Attention Mechanisms in Brain-Computer Interfaces. CoRR Jiyuan Wang, Weishan Ye, Jialin He, Li Zhang, Gan Huang, Zhuliang Yu, Zhen Liang
2025	J	`jnl`	M3D: Manifold-Based Domain Adaptation With Dynamic Distribution for Non-Deep Transfer Learning in Cross-Subject and Cross-Session EEG-Based Emotion Recognition. IEEE J. Biomed. Health Informatics Ting Luo, Jing Zhang, Yingwei Qiu, Li Zhang, Yaohua Hu, Zhuliang Yu, Zhen Liang
2025	J	`jnl`	NSSI-Net: A Multi-Concept GAN for Non-Suicidal Self-Injury Detection Using High-Dimensional EEG in a Semi-Supervised Framework. IEEE J. Biomed. Health Informatics Zhen Liang, Weishan Ye, Qile Liu, Li Zhang, Gan Huang, Yongjie Zhou
2024	J	`jnl`	DuA: Dual Attentive Transformer in Long-Term Continuous EEG Emotion Analysis. CoRR Yue Pan, Qile Liu, Qing Liu, Li Zhang, Gan Huang, Xin Chen, Fali Li, Peng Xu, Zhen Liang
2024	J	`jnl`	Dual Prototyping with Domain and Class Prototypes for Affective Brain-Computer Interface in Unseen Target Conditions. CoRR Guangli Li, Zhehao Zhou, Tuo Sun, Ping Tan, Li Zhang, Zhen Liang
2024	J	`jnl`	MDDD: Manifold-based Domain Adaptation with Dynamic Distribution for Non-Deep Transfer Learning in Cross-subject and Cross-session EEG-based Emotion Recognition. CoRR Ting Luo, Jing Zhang, Yingwei Qiu, Li Zhang, Yaohua Hu, Zhuliang Yu, Zhen Liang
2024	J	`jnl`	Multimodal Sensing for Depression Risk Detection: Integrating Audio, Video, and Text Data. Sensors Zhenwei Zhang, Shengming Zhang, Dong Ni, Zhaoguo Wei, Kongjun Yang, Shan Jin, Gan Huang, Zhen Liang, Li Zhang, Linling Li, Huijun Ding, Zhiguo Zhang, Jianhong Wang
2024	J	`jnl`	PR-PL: A Novel Prototypical Representation Based Pairwise Learning Framework for Emotion Recognition Using EEG Signals. IEEE Trans. Affect. Comput. Rushuang Zhou, Zhiguo Zhang, Hong Fu, Li Zhang, Linling Li, Gan Huang, Fali Li, Xin Yang, Yining Dong, Yuan-Ting Zhang, Zhen Liang
2024	J	`jnl`	Unsupervised Time-Aware Sampling Network With Deep Reinforcement Learning for EEG-Based Emotion Recognition. IEEE Trans. Affect. Comput. Yongtao Zhang, Yue Pan, Yulin Zhang, Min Zhang, Linling Li, Li Zhang, Gan Huang, Lei Su, Honghai Liu, Zhen Liang, Zhiguo Zhang
2023	J	`jnl`	EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based Cross-Subject Emotion Recognition. CoRR Rushuang Zhou, Weishan Ye, Zhiguo Zhang, Yanyang Luo, Li Zhang, Linling Li, Gan Huang, Yining Dong, Yuan-Ting Zhang, Zhen Liang
2023	J	`jnl`	Functional connectivity profiles of the default mode and visual networks reflect temporal accumulative effects of sustained naturalistic emotional experience. NeuroImage Shuyue Xu, Zhiguo Zhang, Linling Li, Yongjie Zhou, Danyi Lin, Min Zhang, Li Zhang, Gan Huang, Xiqin Liu, Benjamin Becker, Zhen Liang
2023	J	`jnl`	Semi-Supervised Dual-Stream Self-Attentive Adversarial Graph Contrastive Learning for Cross-Subject EEG-based Emotion Recognition. CoRR Weishan Ye, Zhiguo Zhang, Min Zhang, Fei Teng, Li Zhang, Linling Li, Gan Huang, Jianhong Wang, Dong Ni, Zhen Liang
2023	J	`jnl`	Test-time bi-directional adaptation between image and model for robust segmentation. Comput. Methods Programs Biomed. Xiaoqiong Huang, Xin Yang, Haoran Dou, Yuhao Huang, Li Zhang, Zhendong Liu, Zhongnuo Yan, Lian Liu, Yuxin Zou, Xindi Hu, Rui Gao, Yuanji Zhang, Yi Xiong, Wufeng Xue, Dong Ni
2022	J	`jnl`	A Novel Transfer Learning Framework with Prototypical Representation based Pairwise Learning for Cross-Subject Cross-Session EEG-Based Emotion Recognition. CoRR Rushuang Zhou, Zhiguo Zhang, Xin Yang, Hong Fu, Li Zhang, Linling Li, Gan Huang, Yining Dong, Fali Li, Zhen Liang
2022	J	`jnl`	A new perspective on individual reliability beyond group effect for event-related potentials: A multisensory investigation and computational modeling. NeuroImage Zhenxing Hu, Zhiguo Zhang, Zhen Liang, Li Zhang, Linling Li, Gan Huang
2022	J	`jnl`	Cross-individual affective detection using EEG signals with audio-visual embedding. Neurocomputing Zhen Liang, Xihao Zhang, Rushuang Zhou, Li Zhang, Linling Li, Gan Huang, Zhiguo Zhang
2022	J	`jnl`	Estimating scale-free dynamic effective connectivity networks from fMRI using group-wise spatial-temporal regularizations. Neurocomputing Li Zhang, Gan Huang, Zhen Liang, Linling Li, Zhiguo Zhang
2022	J	`jnl`	M NeuroImage Gan Huang, Zhenxing Hu, Weize Chen, Shaorong Zhang, Zhen Liang, Linling Li, Li Zhang, Zhiguo Zhang
2021	J	`jnl`	Accessing dynamic functional connectivity using l0-regularized sparse-smooth inverse covariance estimation from fMRI. Neurocomputing Li Zhang, Zening Fu, Wenwen Zhang, Gan Huang, Zhen Liang, Linling Li, Bharat B. Biswal, Vince D. Calhoun, Zhiguo Zhang
2021	—	`conf`	An Efficient EEG Microstate Analysis Method for Emotion Study. ICBSP Wanrou Hu, Li Zhang, Gan Huang, Linling Li, Zhiguo Zhang, Zhen Liang
2021	—	`conf`	Cross-Sessions and Cross-Paradigms Analysis for the Problem of Brain-Computer Interface Inefficiency M2VIP Weize Chen, Gan Huang, Zhenxing Hu, Li Zhang, Linling Li, Zhen Liang, Zhiguo Zhang
2021	J	`jnl`	Designing individual-specific and trial-specific models to accurately predict the intensity of nociceptive pain from single-trial fMRI responses. NeuroImage Qianqian Lin, Gan Huang, Linling Li, Li Zhang, Zhen Liang, Ahmed M. Anter, Zhiguo Zhang
2021	J	`jnl`	EEGFuseNet: Hybrid Unsupervised Deep Feature Characterization and Fusion for High-Dimensional EEG with An Application to Emotion Recognition. CoRR Zhen Liang, Rushuang Zhou, Li Zhang, Linling Li, Gan Huang, Zhiguo Zhang, Shin Ishii
2021	—	`conf`	Neural dynamics of closed-loop alpha wave modulation via phase-locked visual feedback. NER Xingyi Jin, Li Zhang, Linling Li, Zhen Liang, Zhiguo Zhang, Gan Huang
2020	J	`jnl`	A New Type of Fuzzy-Rule-Based System With Chaotic Swarm Intelligence for Multiclassification of Pain Perception From fMRI. IEEE Trans. Fuzzy Syst. Ahmed M. Anter, Gan Huang, Linling Li, Li Zhang, Zhen Liang, Zhiguo Zhang
2020	—	`conf`	An Autoencoder-based Approach to Predict Subjective Pain Perception from High-density Evoked EEG Potentials. EMBC Jiahao Wang, Mengying Wei, Li Zhang, Gan Huang, Zhen Liang, Linling Li, Zhiguo Zhang
2020	J	`jnl`	Low-density surface electromyographic patterns under electrode shift: Characterization and NMF-based classification. Biomed. Signal Process. Control. Gan Huang, Zhien Xian, Fei Tang, Linling Li, Li Zhang, Zhiguo Zhang
2020	—	`conf`	Removal of eye-blinking artifacts by ICA in cross-modal long-term EEG recording. EMBC Gan Huang, Zhenxing Hu, Li Zhang, Linling Li, Zhen Liang, Zhiguo Zhang
2020	—	`conf`	The Real Time EEG Phase Locked Feedback Control for Alpha Amplitude and Frequency Regulation: An OpenBCI Implementation. ICBBS Xinyue Wang, Shaohui Hou, Li Zhang, Linling Li, Zhen Liang, Zhiguo Zhang, Gan Huang
2019	J	`jnl`	A Multi-Laplacian Prior and Augmented Lagrangian Approach to the Exploratory Analysis of Time-Varying Gene and Transcriptional Regulatory Networks for Gene Microarray Data. IEEE ACM Trans. Comput. Biol. Bioinform. Li Zhang, Ho-Chun Wu, Cheuk Hei Ho, Shing-Chow Chan
2019	J	`jnl`	A novel training-free externally-regulated neurofeedback (ER-NF) system using phase-guided visual stimulation for alpha modulation. NeuroImage Gan Huang, Jia Liu, Linling Li, Li Zhang, Yixuan Zeng, Lijie Ren, Shiqing Ye, Zhiguo Zhang
2019	J	`jnl`	An Augmented Lagrangian Approach for Distributed Robust Estimation in Large-Scale Systems. IEEE Syst. J. Shing-Chow Chan, Ho-Chun Wu, Cheuk Hei Ho, Li Zhang
2019	—	`conf`	Estimation of Task-Evoked Dynamic Effective Connectivity from fMRI in A Visual Target Detection Oddball Experiment. NER Li Zhang, Y. M. Yuan, J. W. Li, G. Huang, S. C. Chan, Zhi Guo Zhang
2019	—	`conf`	Sliding Window Nonnegative Matrix Factorization (SW-NMF) for Robustness Low-Density Myoelectric Signals Decoding Against Electrodes Shift. NER Zhien Xian, Zhiguo Zhang, Fei Tang, Li Zhang, Gan Huang
2018	J	`jnl`	Superpixel-based color-depth restoration and dynamic environment modeling for Kinect-assisted image-based rendering systems. Vis. Comput. Chong Wang, Shing-Chow Chan, Zhenyu Zhu, Li Zhang, Heung-Yeung Shum
2018	J	`jnl`	The Time-Varying Network Patterns in Motor Imagery Revealed by Adaptive Directed Transfer Function Analysis for fMRI. IEEE Access Tao Zhang, Mengchen Li, Li Zhang, Bharat B. Biswal, Dezhong Yao, Peng Xu
2017	—	`conf`	Dynamic gene and transcriptional regulatory networks inferring with multi-Laplacian prior from time-course gene microarray data. DSP Li Zhang, H. C. Wu, S. C. Chan, Chong Wang
2017	C	`conf`	Dynamic gene regulatory network analysis using Saccharomyces cerevisiae large-scale time-course microarray data. ISCAS Li Zhang, H. C. Wu, Jian-Qiang Lin, S. C. Chan
2016	C	`conf`	A new L1-regularized time-varying autoregressive model for brain connectivity estimation: A study using visual task-related fMRI data. ISCAS Li Zhang, Z. N. Fu, Shing-Chow Chan, H. C. Wu, Z. G. Zhang
2016	C	`conf`	A variable forgetting factor QRD-based RLS algorithm with bias compensation for system identification with input noise. ISCAS Hai Jun Tan, S. C. Chan, Li Zhang
2016	—	`conf`	Myocardial infarction detection and classification - A new multi-scale deep feature learning approach. DSP Jiafei Wu, Y. L. Bao, Shing-Chow Chan, H. C. Wu, Li Zhang, Xi-Guang Wei
2015	J	`jnl`	A Maximum A Posteriori Probability and Time-Varying Approach for Inferring Gene Regulatory Networks from Time Course Gene Microarray Data. IEEE ACM Trans. Comput. Biol. Bioinform. Shing-Chow Chan, Li Zhang, Ho-Chun Wu, Kai Man Tsui
2015	C	`conf`	A novel algorithm for time-varying gene regulatory networks identification with biological state change detection. ISCAS Li Zhang, Ho-Chun Wu, Shing-Chow Chan
2015	—	`conf`	Large-scale dynamic gene regulatory networks analysis for time course DNA microarray data from C. elegans, preliminary results and findings. DSP Li Zhang, H. C. Wu, Shing-Chow Chan
2015	—	`—`	Scalable real-time multi-target tracking and its implementation on DSP. Li Zhang
2014	—	`conf`	Reconstruction of gene regulatory networks from short time series high throughput data: Review and new findings. DSP H. C. Wu, Li Zhang, S. C. Chan