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梁臻

职位:特聘教授,博导

邮箱:janezliang@szu.edu.cn

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个人简介

梁臻,国家高层次青年人才,深圳大学特聘教授,博士生导师。香港理工大学博士。CCF高级会员。曾任职于美国脑机接口公司NeuroSky和日本京都大学。2019年加入深圳大学医学部生物医学工程学院。长期专注于脑机智能的深入研究,致力于推动人工智能技术在神经工程领域的方法分析、模型构建和临床应用。拥有10余年的学术界和产业界丰富经验,累计发表高水平论文70余篇,包括Cell Reports Medicine、Advanced Science(x2)等。担任IEEE Transactions on Affective Computing(中科院一区TOP)、IEEE Transactions on Neural Systems and Rehabilitation Engineering(中国科学院一区)、Neural Networks(中国科学院二区TOP)等期刊的Associate Editor,以及Cyborg and Bionic Systems(中国科学院一区TOP)的Youth Editor。主持国自然青年科学基金项目(B类)(原优秀青年科学基金)、面上项目、青年项目等国家级项目。荣获中国图象图形学学会石青云女科学家奖、广东省青年拔尖人才、深圳市海外高层次人才、IEEE SMC Winner奖、深圳人工智能卓越服务奖等。在中国计算机大会、中国计算机大会青年精英大会、中国图象图形学青年科学家大会、PRICAI(国际会议)等多个重要大会担任论坛主席。

个人主页

https://sites.google.com/site/janezhenliang/

研究方向

1.脑机智能

2.情感脑机接口

3.跨模态神经工程

4.脑机接口大模型

5.神经科学与重大神经精神疾病


学术影响力

• IEEE Transactions on Affective Computing(中国科学院一区TOP),Associate Editor

• IEEE Transactions on Neural Systems and Rehabilitation Engineering(中国科学院一区),Associate Editor

• Neural Networks(中国科学院二区TOP),Associate Editor

• Cyborg and Bionic Systems(中国科学院一区TOP),青年编委

• PRICAI、中国计算机大会、中国计算机学会青年精英大会、中国图象图形学学会青年科学家会议等国内外学术会议,论坛主席

• 中国康复医学会脑机接口与康复专业委员会,委员

• 中国计算机学会CCF YOCSEF 深圳分论坛2025-2026副主席

• 深圳市人工智能学会,常务理事、副秘书长

• 深圳计算机学会大模型专委会,副秘书长


科研项目

1.国自然青年科学基金项目(B类)(原优秀青年科学基金),62522608,面向儿童青少年情绪障碍的无创脑机接口与神经调控,2026-01-01至2028-12-31,200万,在研,主持;

2.国家自然科学基金委员会面上项目,62276169,跨数据库的弱监督脑电情绪动态解码方法研究及其在情绪异常早筛中的应用,2023-01-01至2026-12-31, 54万元, 在研, 主持。

3.国家自然科学基金委员会, 青年科学基金项目, 61906122, 基于脑电和视觉信息的无监督情绪解码研究及脑机接口应用, 2020-01-01至2022-12-31, 27万元, 结题, 主持。


代表性论文

1.Shuyue Xu(#), Linling Li, Ting Luo, Gan Huang, Li Zhang, Benjamin Becker(*), and Zhen Liang(*), Ecologically‐Valid Emotion Signatures Enhance Mood Disorder Diagnostics, Advanced Science, e05524, 2026. (中国科学院一区TOP)

2.Jiyuan Wang(#), Weishan Ye(#), Jialin He, Li Zhang, Gan Huang, Zhuliang Yu, and Zhen Liang(*), Integrating biological and machine intelligence: Attention mechanisms in brain-computer interfaces, Information Fusion, 125(103417), 2026. (中国科学院一区TOP)

3.Qile Liu(#), Weishan Ye, Lingli Zhang, and Zhen Liang(*), EEG-SCMM: Soft contrastive masked modeling for cross-corpus EEG-based emotion recognition, In Proceedings of the 33rd ACM International Conference on Multimedia, pp. 5834-5842, 2025. (CCF A类会议)

4.Kun Fu(#), Shuyue Xu, Zheng Zhang, Dan Liu, Ting Xu, Yuan Zhang, Feng Zhou, Xiaodong Zhang, Chunmei Lan, Junjie Wang, Lan Wang, Jingxian He, Keith M Kendrick, Bharat Biswal, Dezhong Yao, Zhen Liang(*), Weihua Zhao(*), Benjamin Becker(*), Oxytocin Reduces Subjective Fear in Naturalistic Social Contexts via Enhancing Top‐Down Middle Cingulate Amygdala Regulation and Brain‐Wide Fear Representations, Advanced Science, 12(38): e03251, 2025. (中国科学院一区TOP)

5.Ting Luo(#), Jing Zhang(#), Yingwei Qiu, Li Zhang, Yaohua Hu, Zhuliang Yu, and Zhen Liang(*), M3D: Manifold-based domain adaptation with dynamic distribution for non-deep transfer learning in cross-subject and cross-session EEG-based emotion recognition, IEEE Journal of Biomedical and Health Informatics, 2025. (中国科学院一区TOP)

6.Zhen Liang(#,*), Weishan Ye(#), Qile Liu, Li Zhang, Gan Huang, and Yongjie Zhou(*), NSSI-Net: A Multi-Concept GAN for Non-Suicidal Self-Injury Detection Using High-Dimensional EEG in a Semi-Supervised Framework, IEEE Journal of Biomedical and Health Informatics, 2025. (中国科学院一区TOP)

7.Rushuang Zhou(#), Weishan Ye(#), Zhiguo Zhang(#), Yanyang Luo, Li Zhang, Linling Li, Gan Huang, Yining Dong, Yuan-Ting Zhang, Zhen Liang(*), EEGMatch: Learning With Incomplete Labels for Semisupervised EEG-Based Cross-Subject Emotion Recognition, IEEE Transactions on Neural Networks and Learning Systems, 2024. (中国科学院一区TOP)

8.Rushuang Zhou(#), Zhiguo Zhang(#), Xin Yang, Hong Fu, Li Zhang, Linling Li, Gan Huang, Yining Dong, Fali Li, and Zhen Liang(*), A Novel Transfer Learning Framework with Prototypical Representation based Pairwise Learning for Cross-Subject Cross-Session EEG-based Emotion Recognition, IEEE Transactions on Affective Computing, 15 (2):657-670, 2023. (中国科学院一区TOP,高被引论文)

9.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. (中国科学院一区TOP,高被引论文)

10.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, 4(12):101331, 2023. (中国科学院一区TOP)

11.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, 15 (3):1090-1103, 2023. (中国科学院一区TOP)

12.Shuyue Xu(#), Zhiguo Zhang(#), Linling Li(#), Yongjie Zhou, Danyi Lin, Min Zhang, Li Zhang, Gan Huang, Xiqin Liu, Benjamin Becker(*), and Zhen Liang(*), Functional Connectivity Profiles of the Default Mode and Visual Networks Reflect Temporal Accumulative Effects of Sustained Naturalistic Emotional Experience, NeuroImage, 269:119941, 2023. (中国科学院一区TOP)

13.Linling Li(#), Zhen Liang(#), Guohua Li, Hong Xu, Xing Yang, Xia Liu, Xin Zhang, Jianhong Wang, Zhiguo Zhang(*), and 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, 30(5): e14684, 2024. (中国科学院一区)

14.Weishan Ye(#), Jiyuan Wang, Lin Chen, Lifei Dai, Zhe Sun, Zhen Liang(*), Adaptive Spatial-Temporal Aware Graph Learning for EEG-Based Emotion Recognition, Cyborg and Bionic Systems, 2024. (中国科学院一区TOP)

15.Xiaopeng Si(#), Dong Huang(#), Zhen Liang(#), Yulin Sun, He Huang, Qile Liu, Zhuobin Yang, and Dong Ming(*), Temporal Aware Mixed Attention-based Convolution and Transformer Network for Cross-subject EEG Emotion Recognition, Computers in Biology and Medicine, 181, p. 108973, 2024. (中国科学院一区)

16.Zhen Liang(#), Rushuang Zhou, Li Zhang, Linling Li, Gan Huang, Zhiguo Zhang(*), and Shii 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, 29:1913-1925, 2021. (中国科学院一区)

17.Zhen Liang(#), Fangchao Li, Wanrou Hu, Gan Huang, Shigeyuki Oba, Zhiguo Zhang(*), and Shin 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. (中国科学院一区)

18.Zhen Liang(#,*), Shigeyuki Oba, and Shin Ishii, An Unsupervised EEG Decoding System for Human Emotion Recognition, Neural Networks, 116, pp. 257-268, 2019. (中国科学院一区TOP)

19.Zhen Liang(#,*), Yasuyuki Hamada, Shigeyuki Oba, and Shin Ishii, Characterization of Electroencephalography Signals for Estimating Saliency Features in Videos, Neural Networks, 105, pp. 52-64, 2018. (中国科学院一区TOP)

20.Zhen Liang(#), Bingang Xu(*), Zheru Chi, and Dagan Feng, Relative Saliency Model over Multiple Images with an Application to Yarn Surface Evaluation, IEEE Transactions on Cybernetics, 44(8), pp. 1249-1258, 2014. (中国科学院一区TOP)

21.Zhen Liang(#), Bingang Xu(*), Zheru Chi, and Dagan 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. (中国科学院一区TOP)

22.Zhen Liang(#,*), Zheru Chi, H. Fu, and Dagan Feng, Salient Object Detection Using Content-Sensitive Hypergraph Representation and Partitioning, Pattern Recognition, 45(11), pp. 3886-3901, 2012. (中国科学院一区TOP)

(# first author, * corresponding author)

长期招募

本课题组常年面向海内外招聘研究员、副研究员、副教授、助理教授、博士后,薪酬待遇参照深圳大学人事处官方标准执行。同时,欢迎有志于脑机智能方向的博士生、研究生和本科生加入课题组开展学习与科研工作。诚挚欢迎有意者与我联系:zhenliang.szu@gmail.com 。