College of Intelligence and Computing
Associate professor
人工智能专业
zhanggaoyan@tju.edu.cn
55B-313 Tianjin University, Haihe Education Park, Tianjin, China
张高燕,天津大学智能与计算学部英才副教授,特聘研究员,博士生导师。2014年加入天津大学认知计算与应用天津市重点实验室,2017年12月-2018年6月在美国NIH做访问学者。入选天津大学“北洋学者-青年骨干教师”计划,天津市“131创新型人才培养工程”第三层次人选。主持国家级科研项目4项,含国家自然科学基金面上,1XX工程项目,参与国家973计划,国家重点研发,国自然重点基金等多项。完成国家级教改1项,校级5项。在领域重要期刊如 Knowledge-Based Systems, IEEE JBHI,IEEE TNSRE, Cerebral Cortex, Human Brain Mapping等上发表论文80余篇。研究成果获得陕西省科学研究优秀成果二等奖。指导研究生获得世界机器人大赛脑机接口技术赛二等奖,人机语音通讯年会最佳学生论坛报告等奖励多项。担任脑节律专委会、语音对话与听觉专委会委员。
主要研究领域是人工智能与认知科学、脑科学的交叉领域。主要利用信号处理、复杂网络、机器学习、深度学习等方法对医学图像(功能磁共振成像)和医学信号(脑电图)进行分析,理解人脑智能信息处理的机理,实现脑信息解码与脑机接口、人机交互与人工智能、脑疾病早期诊断预测等方面应用,同时希望为类人智能、类脑计算提供理论借鉴!
欢迎计算机科学与技术专业、软件工程,电子信息,生物医学工程,数学等专业本科毕业生加入课题组,常年招收在读本科生参与课外创新项目!
课题组毕业生就业单位包括互联网大厂(如华为、阿里、京东、美团、百度、搜狗)、国有企业(如中国农业银行、北京银行、交通银行、中兴通讯)、新兴脑科技公司(如脑陆科技、思影科技)、海外名校(如南加州大学、纽约大学、东京大学)深造等。
- Intelligent information processing
- Neuroimaging computing
- brain computer interface
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2017.12-2018.6
Neuroimaging Research Section | National Institute on Drug Abuse, NIH | Guest Researcher  -
2014.1-Now
College of Intelligence and Computing | Tianjin University | Associate Professor 
- Papers
- [1] Zhongjie Li, Gaoyan Zhang*, Shogo Okada, Longbiao Wang, Bin Zhao, Jianwu Dang. MBCFNet: A Multimodal Brain–Computer Fusion Network for human intention recognition. Knowledge-Based Systems 296 (2024) 111826.
- [2] Tianyi Zhao, and Gaoyan Zhang*. Enhancing Major Depressive Disorder Diagnosis with Dynamic-Static Fusion Graph Neural Networks. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS. DOI 10.1109/JBHI.2024.3395611
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- [3] Zhongjie Li, Gaoyan Zhang∗, Longbiao Wang, Jianwu Dang∗,Discrimination of the Different Intents Carried by the Same Text Through Integrating Multimodal Information, INTERSPEECH 2023 20-24 August 2023, Dublin, Ireland
- [4] Zhongjie Li, Gaoyan Zhang∗, Longbiao Wang, Jianguo Wei and Jianwu Dang∗,Emotion recognition using spatial-temporal EEG features through convolutional graph attention network, Journal of Neural Engineering. 20 (2023) 016046
- [5] BinZhao, GaoyanZhang*, LongbiaoWang, JianwuDang* Multimodal evidence for predictive coding in sentence oral reading. Cerebral Cortex, 2023, 1–13,https://doi.org/10.1093/cercor/bhad145
- [6] Zhongjie Li, Bin Zhao, Gaoyan Zhang∗, Jianwu Dang∗, BRAIN NETWORK FEATURES DIFFERENTIATE INTENTIONS FROM DIFFERENT EMOTIONAL EXPRESSIONS OF THE SAME TEXT, ICASSP 2023, Grace.
- [7] Huang J, Zhang G, Dang J, Chen Y and Miyamoto S (2023) Semantic processing during continuous speech production: an analysisfrom eye movements and EEG. Front. Hum. Neurosci. 17:1253211. doi: 10.3389/fnhum.2023.1253211
- [8] Shuang Wu, Di Zhou, Lin Gan and Gaoyan Zhang*. Study on neural entrainment to continuous speech using dynamic source connectivity analysis, Journal o neural engineering 20 (2023) 046006
- [9] Di Zhou, Gaoyan Zhang*, Jianwu Dang, Masashi Unoki, Xin Liu. Detection of Brain Network Communities During Natural Speech Comprehension From Functionally Aligned EEG Sources. Front. Comput. Neurosci. 2022,16:919215.
- [10] Chenhao Tan, Xin Liu, Gaoyan Zhang*. Inferring Brain State Dynamics Underlying Naturalistic Stimuli Evoked Emotion Changes With dHA‑HMM, 2022, Neuroinformatics, doi.org/10.1007/s12021-022-09568-5
- [11] Gaoyan Zhang*, Xin Liu. Investigation of functional brain network reconfiguration during exposure to naturalistic stimuli using graph-theoretical analysis, Journal of Neural Engineering, 2021,18 (2021) 056027.
- [12] Qiang Yu, Chenxiang Ma, Shiming Song, Gaoyan Zhang, Jianwu Dang, Kay Chen Tan. Constructing Accurate and Efficient Deep Spiking Neural Networks With Double-Threshold and Augmented Schemes. IEEE Transactions on Neural Networks and Learnign System. 2021(99):1-13.
- [13] Yue Cheng, Gaoyan Zhang* et al., Identification of minimal hepatic encephalopathy based on dynamic functional connectivity. Brain Imaging and Behavior.2021 ,doi.org/10.1007/s11682-021-00468-x
- [14] Zhongjie Li, Gaoyan Zhang*, Jianwu Dang, Longbiao Wang, Jianguo Wei. Multi Modal Emotion Recognition Based On deep Learning Of EEG And Audio Signals, IJCNN,July 18-22,2021, Shenzhen, China.
- [15] Gaoyan Zhang, Yuexuan Li et al., Identifying Mild Hepatic Encephalopathy Based on Multi-Layer Modular Algorithm and Machine Learning. Frontiers in Neuroscience. 2021 Jan; 14:627062.
- [16] Di Zhou, Gaoyan Zhang*, Jianwu Dang*, Shuang Wu, Zhuo Zhang. Neural Entrainment to Natural Speech Envelope Based on Subject Aligned EEG Signals, INTERSPEECH, Oct. 26-29, 2020, Shanghai, China.
- [17] Zhuo Zhang, Gaoyan Zhang*, Jianwu Dang, Shuang Wu, Di Zhou, Longbiao Wang. EEG-based Short-time Auditory Attention Detection using Multi-task Deep Learning, Interspeech, Oct. 26-29, 2020, Shanghai, China.
- [18] Jinlinag Zhang#, Gaoyan Zhang#, et al. Decoding sound categories based on whole-brain functional connectivity patterns. Brain Imaging and Behavior (in press; #: co-first author).
- [19] Gaoyan Zhang*, Yuke Si, Jianwu Dang*. Revealing the Dynamic Brain Connectivity from Perception of Speech Sound to Semantic Processing by EEG. Neuroscience. 2019, 415: 70-76.
- [20] Gaoyan Zhang, Yuexuan Li, Jinliang Zhang. Tracking the Dynamic Functional Network Interactions During Goal-Directed Auditory Tasks by Brain State Clustering. Frontiers in Neuroscience, 2019, 1220 (2019): 1-12.
- [21] L Lu, G Zhang, J Xu, B Liu.Semantically Congruent Sounds Facilitate the Decoding of Degraded Images.Neuroscience 2018, 377, 12-25
- [22] Bin Zhao, Jinfeng Huang, Gaoyan Zhang*, Jianwu Dang*, Minbo Chen, Yingjian Fu, Longbiao Wang. Revealing Spatiotemporal Brain Dynamics of Speech Production Based on EEG and Eye Movement. INTERSPEECH, Sep. 2-6,2018, Hyderabad, India.
- [23] Bin Zhao, Jianwu Dang*, Gaoyan Zhang*. EEG source reconstruction evidence for the noun-verb neural dissociation along semantic dimensions. Neuroscience, 2017, 359 (2017): 183–195 (*corresponding author; SCI).
- [24] Bin Zhao, Jianwu Dang, Gaoyan Zhang*. A Neuro-Experimental Evidence for the Motor Theory of Speech Perception, Interspeech, Aug 20-24, 2017, Stockholm, Sweden (EI).
- [25] Yin Liang, Baolin Liu, Junhai Xu, Gaoyan Zhang, Xianglin Li, Peiyuan Wang, Bin Wang. Decoding facial expressions based on face-selective and motion-sensitive areas, Human Brain Mapping, 2017, 38(6):3113-3125 (SCI).
- [26] Gaoyan Zhang, Yue Cheng, Baolin Liu. Abnormalities of voxel-based whole-brain functional connectivity patterns predict the progression of hepatic encephalopathy. Brain Imaging and Behavior, 2017, 11(3):784-796 (SCI).
- [27] Yuanyuan Zhang, Gaoyan Zhang, Baolin Liu. Investigation of the influence of emotions on working memory capacity using ERP and ERSP, Neuroscience, 2017, 357 (2017):338-348 (SCI).
- [28] Gaoyan Zhang, Yue Cheng, Wen Shen, Baolin Liu, Shuangshuang Xie, Lixiang Huang. The short-term effect of liver transplantation on the low-frequency fluctuation of brain activity in cirrhotic patients with and without overt hepatic encephalopathy. Brain Imaging and Behavior, in press (SCI).
- [29] Gaoyan Zhang, Li Yao, Jiahui Shen, Yihong Yang, Xiaojie Zhao. Reorganization of functional brain networks mediates the improvement of cognitive performance following real-time neurofeedback training of working memory. Human Brain Mapping, 2015, 36(5):1705-1715. (SCI).
- [30] Gaoyan Zhang, Hang Zhang, Xiaoli Li, Xiaojie Zhao, Li Yao, Zhiying Long. Functional alteration of the DMN by learned regulation of the PCC using real-time fMRI. IEEE Transactions on Neural System &Rehabilitation Engineering, 2013, 4(21):595-606 (SCI).
- Honors & Awards
- [1] 陕西省科学研究优秀成果二等奖 2025
- [2] 蓝桥杯大赛研究生组国家三等奖指导教师 2025