Rushuang Zhou#, Weishan Ye#, Zhiguo Zhang#, Yanyang Luo, Li Zhang, Linling Li, Gan Huang, Yining Dong, Yuan-Ting Zhang, and Zhen Liang*, EEGMatch: Learning With Incomplete Labels for Semisupervised EEG-Based Cross-Subject Emotion Recognition, IEEE Transactions on Neural Networks and Learning Systems, 2024.
Weishan Ye#, Zhiguo Zhang#, Fei Teng, Min Zhang, Jianhong Wang, Dong Ni, Fali Li, Peng Xu*, and Zhen Liang*, Semi-supervised Dual-stream Self-attentive Adversarial Graph Contrastive Learning for Cross-subject EEG-based Emotion Recognition, IEEE Transactions on Affective Computing, 2024.
Jing Zhang#, Chenyan Shi#, Zhen Liang#, Chenye Jin#, Lei Wang, Ying Zhong, and Yongze Li*, Burden of Noncommunicable Diseases among Children and Adolescents Aged 10-24 Years in China, 1990-2019: A Population based Study, Cell Reports Medicine, 2023. (# co-first author).
Yongtao Zhang, Yue Pan, Yulin Zhang, Min Zhang, Linling Li, Li Zhang, Gan Huang, Lei Su, Honghai Liu, Zhen Liang*, and Zhiguo Zhang*, Unsupervised Time-Aware Sampling Network with Deep Reinforcement Learning for EEG-Based Emotion Recognition, IEEE Transactions on Affective Computing, 2023. (*co-corresponding author).
Rushuang Zhou#, Zhiguo Zhang#, Hong Fu, Li Zhang, Linling Li, Gan Huang, Fali Li, Xin Yang, Yining Dong, Yuan-Ting Zhang, and Zhen Liang*, PR-PL: A Novel Prototypical Representation based Pairwise Learning Framework for Emotion Recognition Using EEG Signals, IEEE Transactions on Affective Computing, 2023. (# co-first author, *corresponding author).
Rushuang Zhou#, Weishan Ye#, Zhiguo Zhang#, Yanyang Luo, Li Zhang, Linling Li, Gan Huang, Yining Dong, Yuan-Ting Zhang, and Zhen Liang*, EEGMatch: Learning With Incomplete Labels for Semisupervised EEG-Based Cross-Subject Emotion Recognition, IEEE Transactions on Neural Networks and Learning Systems, 2024.
Weishan Ye#, Zhiguo Zhang#, Fei Teng, Min Zhang, Jianhong Wang, Dong Ni, Fali Li, Peng Xu*, and Zhen Liang*, Semi-supervised Dual-stream Self-attentive Adversarial Graph Contrastive Learning for Cross-subject EEG-based Emotion Recognition, IEEE Transactions on Affective Computing, 2024.
Linling Li#, Zhen Liang#, Guohua Li, Hong Xu, Xing Yang, Xia Liu, Xin Zhang, Jianhong Wang, and Zhiguo Zhang*, Yongjie Zhou*, Unveiling convergent and divergent intrinsic brain network alternations in depressed adolescents engaged in non-suicidal self-injurious behaviors with and without suicide attempts, CNS Neuroscience & Therapeutics, pp.1-10, 2024. (# co-first author).
Linling Li#, Xueying Gui#, Gan Huang, Li Zhang, Feng Wan, Xue Han, Jianhong Wang, Dong Ni, Zhen Liang*, and Zhiguo Zhang*, Decoded EEG neurofeedback-guided cognitive reappraisal training for emotion regulation, Cognitive Neurodynamics, pp. 1-15, 2024. (*co-corresponding author).
Jing Zhang#, Chenyan Shi#, Zhen Liang#, Chenye Jin#, Lei Wang, Ying Zhong, and Yongze Li*, Burden of Noncommunicable Diseases among Children and Adolescents Aged 10-24 Years in China, 1990-2019: A Population based Study, Cell Reports Medicine, 2023. (# co-first author).
Rushuang Zhou, Lei Lu, Zijun Liu, Ting Xiang, Zhen Liang, David A. Clifton, Yining Dong, and Yuan-Ting Zhang, Semi-Supervised Learning for Multi-Label Cardiovascular Diseases Prediction: A Multi-Dataset Study, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023.
Yongtao Zhang, Yue Pan, Yulin Zhang, Min Zhang, Linling Li, Li Zhang, Gan Huang, Lei Su, Honghai Liu, Zhen Liang*, and Zhiguo Zhang*, Unsupervised Time-Aware Sampling Network with Deep Reinforcement Learning for EEG-Based Emotion Recognition, IEEE Transactions on Affective Computing, 2023. (*co-corresponding author).
Thomas Koenig, Sarah Diezig, Sahana Nagabhushan Kalburgi, Elena Antonova, Fiorenzo Artoni, Lucie Brechet, Juliane Britz, Pierpaolo Croce, Anna Custo, Alena Damborská, Camila Deolindo, Markus Heinrichs, Tobias Kleinert, Zhen Liang, Michael M Murphy, Kyle Nash, Chrystopher Nehaniv, Bastian Schiller, Una Smailovic, Povilas Tarailis, Miralena Tomescu, Eren Toplutaş, Federica Vellante, Anthony Zanesco, Filippo Zappasodi, Qihong Zou, Christoph M Michel, EEG-meta-microstates: towards a more objective use of resting-state EEG microstate findings across studies, Brain topography, pp.1-14, 2023.
Rushuang Zhou#, Zhiguo Zhang#, Hong Fu, Li Zhang, Linling Li, Gan Huang, Fali Li, Xin Yang, Yining Dong, Yuan-Ting Zhang, and Zhen Liang*, PR-PL: A Novel Prototypical Representation based Pairwise Learning Framework for Emotion Recognition Using EEG Signals, IEEE Transactions on Affective Computing, 2023. (# co-first author, *corresponding author).
S. Xu#, Z. Zhang#, L. Li#, Y. Zhou, D. Lin, M. Zhang, L. Zhang, G. Huang, X. Liu, B. Becker*, and Z. Liang*, Functional Connectivity Profiles of the Default Mode and Visual Networks Reflect Temporal Accumulative Effects of Sustained Naturalistic Emotional Experience, NeuroImage, p.119941, 2023. (# co-first author, *co-corresponding author). [Project Page]
L. Zhang, Y. Pan, G. Huang, Z. Liang, L. Li, M. Zhang, Z. Zhang, A brain-wide genome-wide association study of candidate quantitative trait loci associated with structural and functional phenotypes of pain sensitivity, Cerebral Cortex, 2023.
Z. Liang, X. Zhang, R. Zhou, L. Zhang, L. Li, G. Huang, and Z. Zhang, Cross-Individual Affective Detection Using EEG Signals with Audio-Visual Embedding, Neurocomputing, 510, pp.107-121, 2022.
K. Fujimoto, K. Hayashi, R. Katayama, S. Lee, Z. Liang, W. Yoshida, S. Ishii, Deep learning-based image deconstruction method with maintained saliency, Neural Networks, 155, pp. 224-241, 2022.
P. Li, Z. Liang, Z. Yuan, G. Li, Y. Wang, W. Huang, L. Zeng, J. Yang, X. Zhou, J. Li, L. Su, Y. Zhou, Relationship between perceived stress and depression in Chinese front-line medical staff during COVID-19: A conditional process model, Journal of Affective Disorders, 311, pp. 40-46, 2022.
J. Gong, Y. Zhou, Y. Wang, Z. Liang, J. Hao, L. Su, T. Wang, X. Du, Y. Zhou, and Y. Wang, How parental smartphone addiction affects adolescent smartphone addiction: The effect of the parent-child relationship and parental bonding, Journal of Affective Disorders, 307, pp. 271-277, 2022.
W. Hu#, Z. Zhang#, H. Zhao, L. Zhang, L. Li, G. Huang, and Z. Liang*, EEG Microstate Correlates of Emotion Dynamics and Stimulation Content during Video Watching, Cerebral Cortex, bhac082, pp. 1-20, 2022. (# co-first author, *corresponding author) . [Supplementary Materials]
W. Hu#, Z. Zhang#, L. Zhang, G. Huang, L. Li, and Z. Liang*, Microstate Detection in Naturalistic Electroencephalography Data: A Systematic Comparison of Topographical Clustering Strategies on an Emotional Database, Frontiers in Neuroscience, 16(812624), pp. 1-19, 2022. (# co-first author, *corresponding author) .
L. Zhang, G. Huang, Z. Liang, L. Li, and Z. Zhang, Estimating scale-free dynamic effective connectivity networks from fMRI using group-wise spatial–temporal regularizations, Neurocomputing, 485, pp. 22-35, 2022.
R. Zou, L. Li, L. Zhang, G. Huang, Z. Liang, L. Xiao, Z. Zhang, Combining Regional and Connectivity Metrics of Functional Magnetic Resonance Imaging and Diffusion Tensor Imaging for Individualized Prediction of Pain Sensitivity, Frontiers In Molecular Neuroscience, accepted.
Z. Hu#, Z. Zhang#, Z. Liang, L. Zhang, L. Li, G. Huang, A New Perspective on Individual Reliability beyond Group Effects for Event-related Potentials: A Multisensory Investigation and Computational Modeling, NeuroImage, 250(118937), pp. 1-13, 2022. (# co-first author)
Z. Liang, R. Zhou, L. Zhang, L. Li, G. Huang, Z. Zhang, and S. Ishii, EEGFuseNet: Hybrid Unsupervised Deep Feature Characterization and Fusion for High-Dimensional EEG With an Application to Emotion Recognition, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 29, pp. 1913-1925, 2021. [Supplementary Materials] [codes and pretrained models]
L. Li, D. Xin, H. Zhang, G. Huang, L. Zhang, Z. Liang, and Z. Zhang, Characterization of Whole-Brain Task-Modulated Functional Connectivity in Response to Nociceptive Pain: A Multisensory Comparison Study, Human Brain Mapping, 43, pp. 1061-1075, 2022.
S. Xu, Y. Zhou, L. Li, L. Zhang, G. Huang, Z. Zhang, and Z. Liang*, A Review of Functional Magnetic Resonance Imaging in Affective Detection, Journal of Electronics & Information Technology, 44(2), pp. 424-436, 2022. (*corresponding author) 徐姝悦, 周勇杰, 李琳玲, 张力, 黄淦, 张治国, 梁臻*, 基于功能磁共振成像技术的情感检测研究, 电子与信息学报, 44(2), pp. 424-436, 2022.
R. Zhou#, H. Zhao#, W. Lin#, L. Zhang, G. Huang, L. Li, Z. Zhang, and Z. Liang*, Feature Fusion based Deep Residual Networks Using Deep and Shallow Learning for EEG-based Emotion Recognition, Chinese Journal of Biomedical Engineering, 40(6), pp. 641-652, 2021. (# co-first author, *corresponding author) 周如双#, 赵慧琳#, 林玮玥#, 胡婉柔, 张力, 黄淦, 李琳玲, 张治国, 梁臻*, 基于深浅特征融合的深度卷积残差网络的脑电情绪识别模型, 中国生物医学工程学报, 40(6), pp. 641-652, 2021.
X. Zhang, L. Li, G. Huang, L. Zhang, Z. Liang, L. Shi, and Z. Zhang, A Multisensory fMRI Investigation of Nociceptive-Preferential Cortical Regions and Responses, Frontiers in Neuroscience, 15, 2021.
R. Zou, L. Li, L. Zhang, G. Huang, Z. Liang, and Z. Zhang, Predicting Individual Pain Thresholds From Morphological Connectivity Using Structural MRI: A Multivariate Analysis Study. Frontiers in Neuroscience, 15, p.34, 2021.
M. Du, L. Zhang, L. Li, E. Ji, X. Han, G. Huang, Z. Liang, L. Shi, H. Yang, and Z. Zhang, Abnormal transitions of dynamic functional connectivity states in bipolar disorder: A whole-brain resting-state fMRI study, Journal of Affective Disorders, 289, pp. 7-15, 2021.
L. Zhang, Z. Fu, W. Zhang, G. Huang, Z. Liang, L. Li, B.B. Biswal, V.D. Calhoun, and Z. Zhang, Accessing Dynamic Functional Connectivity Using l0-Regularized Sparse-Smooth Inverse Covariance Estimation from fMRI, Neurocomputing, 443, pp. 147-161, 2021.
Z. Liang, F. Li, W. Hu, G. Huang, S. Oba, Z. Zhang, and S. Ishii, A Generalized Encoding System for Alpha Oscillations through Visual Saliency Analysis, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28(12), pp. 2731-2743, 2020.
W. Hu, G. Huang, L. Li, L. Zhang, Z. Zhang, and Z. Liang*, Video‐triggered EEG‐emotion public databases and current methods: A survey, Brain Science Advances, 6(3), pp. 255-287, 2020. (*corresponding author)
Q. Lin, G. Huang, L. Li, L. Zhang, Z. Liang, A.M. Anter, and Z. Zhang, Designing individual-specific and trial-specific models to accurately predict the intensity of nociceptive pain from single-trial fMRI responses, NeuroImage, 225(117506), pp. 1-15, 2020.
A.M. Anter, G. Huang, L. Li, L. Zhang, Z. Liang, and Z. Zhang, A New Type of Fuzzy-Rule-Based System With Chaotic Swarm Intelligence for Multiclassification of Pain Perception From fMRI, IEEE Transactions on Fuzzy Systems, 28(6), pp.1096-1109, 2020.
Y. Yuan, L. Zhang, L. Li, G. Huang, A. Anter, Z. Liang, and Z. Zhang, Distinct Dynamic Functional Connectivity Patterns of Pain and Touch thresholds: A resting-state fMRI study, Behavioural Brain Research, 375(112142), 1-8, 2019.
Z. Liang, S. Oba, and S. Ishii, An unsupervised EEG decoding system for human emotion recognition, Neural Networks, 116, pp. 257-268, 2019. [Supplementary Materials]
Z. Liang, Y. Hamada, S. Oba, and S. Ishii, Characterization of electroencephalography signals for estimating saliency features in videos, Neural Networks, 105, pp. 52-64, 2018. [Supplementary Materials]
Z. Liang, H. Fu, B. Xu, and W.L. Lo, Eye-tracking Aided Digital Training System for Strabismus Therapy, Journal of Advances in Information Technology, 8(1), pp. 57-62, February 2017.
Z. Liang, B. Xu, Z. Chi, and D. Feng, Relative Saliency Model over Multiple Images with an Application to Yarn Surface Evaluation, IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 44(8), pp. 1249-1258, 2014. (IEEE Transactions on Cybernetics replaced the IEEE Transactions on Systems, Man, and Cybernetics Part B: Cybernetics on January 1, 2013).
Z. Liang, Z. Chi, H. Fu, and D. Feng, Salient Object Detection Using Content-Sensitive Hypergraph Representation and Partitioning, Pattern Recognition, 45(11), pp. 3886-3901, 2012.
Z. Liang, H. Fu, Z. Chi, and D. Feng, Hypergraph Based Saliency Map Generation with p-ROI Approximation and Validation, Journal of Electronic Imaging, 21(1), pp. 013012:1-4, 2012. [Supplementary Materials].
Z. Liang, B. Xu, Z. Chi, and D. Feng, Intelligent Characterization and Evaluation of Yarn Surface Appearance Using Saliency Map Analysis, Wavelet Transform and Fuzzy ARTMAP Neural Network, Expert Systems with Applications, 39, pp. 4201-4212, 2012.
Y. Zhang, X. Zhao, H. Fu, Z. Liang, Z. Chi, X. Zhao, and D. Feng, A Time Delay Neural Network Model for Simulating Eye Gaze Data, Journal of Experimental and Theoretical Artificial Intelligence, 23(1), pp. 111-126, March 2011.
L. Zhang; Y. Pan; G. Huang; Z. Liang; L. Li; Z. Zhang, An Imaging Genetics Study Based on Brain-wide Genome-wide Association for Identifying Quantitative Trait Loci Related to Pain Sensitivity, 2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), accepted.
L. Zhang, G. Huang, Z. Liang, L. Li and Z. Zhang, A Novel Method to Preserve Scale-Free Property for the Inference of Dynamic Effective Connectivity Networks from fMRI, 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), accepted.
W. Hu, L. Zhang, G. Huang, L. Li, Z. Zhang, and Z. Liang*, An Efficient EEG Microstate Analysis Method for Emotion Study, 2021 6th International Conference on Biomedical Imaging, Signal Processing (ICBSP 2021), accepted. (*corresponding author)
X. Jin, L. Zhang, L. Li, Z. Liang, Z. Zhang, and G. Huang, Neural dynamics of closed-loop alpha wave modulation via phase-locked visual feedback, 10th International IEEE/EMBS Conference on Neural Engineering (NER), pp. 453-456, 2021.
X. Wang, S. Hou, L. Zhang, L. Li, Z. Liang, Z. Zhang, and G. Huang, The Real Time EEG Phase Locked Feedback Control for Alpha Amplitude and Frequency Regulation: An OpenBCI Implementation, 2020 9th International Conference on Bioinformatics and Biomedical Science (ICBBS 2020), in press.
G. Huang, Z. Hu, L. Zhang, L. Li, Z. Liang, and Z. Zhang, Removal of eye-blinking artifacts by ICA in cross-modal long-term EEG recording, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pp. 217-220, 2020.
J. Wang, M. Wei, L. Zhang, G. Huang, Z. Liang, L. Li, and Z. Zhang, An Autoencoder-based Approach to Predict Subjective Pain Perception from High-density Evoked EEG Potentials, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pp. 1507-1511, 2020.
Z. Liang, H. Higashi, S. Oba, and S. Ishii, Brain Dynamics Encoding from Visual Input during Free Viewing of Natural Videos, The 2019 International Joint Conference on Neural Networks (IJCNN2019), paper N-19366, pp. 1-8, Budapest, Hungary, July 14-19, 2019.
Z. Liang, S. Oba, and S. Ishii, Inherent Feature Connection (I-Con) Map for Liking Emotion Detection: an EEG Study, 32nd British Human Computer Interaction Conference (BHCI 2018): Workshop on Affective Computing, pp. 1-5, http://dx.doi.org/10.14236/ewic/HCI2018.209, Belfast, UK, 2018. [PPT]
Z. Liang, H. Liu, and J.N. Mak, Detection of Media Enjoyment using Single-Channel EEG, the 12th IEEE Biomedical Circuits and Systems Conference (BioCAS), pp. 516-519, 2016.
Y. Hu, Z. Liang, Z. Chi, and H. Fu, A Combined Convolutional Neural Network and Potential Region-Of-Interest Model for Saliency Detection, 2015 11th International Conference on Neural Computation (ICNC), pp. 154-158, 2015.
Z. Liang, F. Tan, and Z. Chi, Video-Based Biometric Identification Using Eye Tracking Technique, IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC 2012), pp. 728-733, 12-15 Aug, 2012.
Z. Liang, Q. Fu, Z. Chi, Eye Typing of Chinese Characters, Eye Tracking Research and Applications 2012 (ETRA2012) (best short paper), pp. 237-240, 28-30 March, 2012, California, USA. [Supplementary Materials].
Z. Liang, H. Fu, Z. Chi and D.Feng, Salient-SIFT for Image Retrieval, Advanced Concepts for Intelligent Vision Systems(Acivs2010), pp. 62-71, 13-16 December 2010, Sydney, Australia. [Poster]
Z. Liang, H. Fu, Z. Chi and D.Feng, Refining A Region Based Attention Model Using Eye Tracking Data, Proceedings, 2010 IEEE International Conference on Image Processing (ICIP2010), pp. 1105-1108, September 2010, Hong Kong. [Poster]
Z. Liang, H. Fu, Y. Zhang, Z. Chi and D. Feng, Content-based Image Retrieval Using a Combination of Visual Features and Eye Tracking Data, Eye Tracking Research and Applications 2010 (ETRA2010) (best short paper), pp. 41-44, 22 - 24 March 2010, Austin, USA. [PPT]
Y. Zhang, H. Fu, Z. Liang, Z. Chi and D. Feng, Eye Movement as an Interaction Mechanism for Relevance Feedback in a Content-Based Image Retrieval System, Eye Tracking Research and Applications 2010 (ETRA2010) (best short paper), pp.37-40, 22 - 24 March 2010, Austin, USA.
Z. Liang, H. Fu, Z. Chi and D.Feng, Image Pre-Classification Based on Saliency Map for Image Retrieval, Proceedings of the 7th International Conference on Information, Communications and Signal Processing (ICICS-2009), ThM1.5-P0399, 5 pages, 7 – 10 December 2009, Macau, China. [PPT]
Y. Zhang, H. Fu, L. Zhen, X. Zhao, Z. Chi, D. Feng, and X. Zhao, Eye Movement Data Modeling using a Genetic Algorithm, 2009 IEEE Congress on Evolutionary Computation (IEEE CEC 2009), pp. 1038-1044, May 18-21 2009, Trondheim, Norway.
Z. Liang, Hybrid Unsupervised Handcrafted and Deep Feature Characterization and Fusion for EEG-Based Emotion Recognition, International Journal of Psychophysiology, 168, pp. S55, 2021.
S. Xu, G, Huang, L. Li, L. Zhang, Z. Zhang, and Z. Liang, An fMRI Study of Neural Activities Associated with Affective Processing under Long-Term Affective Film Triggering, International Journal of Psychophysiology, 168, pp. S206, 2021.
X. Zhang, G. Huang, L. Zhang, L. Li, Z. Zhang, and Z. Liang, A Study of Affective Information Detection in Rich Multimedia Content, International Journal of Psychophysiology, 168, pp. S127-S128, 2021.
G. Huang, X. Liang, S. Hou, Z. Liang, L. Li, L. Zhang, Z. Zhang, Cognitive Response in Steady State Evoked Potential, International Journal of Psychophysiology, 168, pp. S114, 2021.
Z. Liang and S. Ishii, EEG Alpha Oscillations Reveal Color Contrast: SVR-Based Modelling, Real-Time Functional Imaging and Neurofeedback Conference (rtFIN 2017), Nara, Japan, 2017. [Poster]