教授，博士生导师，国家高层次青年人才，IEEE高级会员，情感计算国际旗舰期刊IEEE-TAFFC副编委。2021至2024年连续入选全球前2%顶尖科学家，以及AMiner人工智能过去十年全球最具影响力学者榜单。2015年博士毕业于德国慕尼黑工业大学，之后先后于德国帕绍大学，英国伦敦帝国理工学院从事博士后研究，以及华为英国剑桥研究院担任人工智能专家。发表IEEE-SPM/TAC/TASLP/TMM/JBHI、ACM-MM、ICASSP等期刊或会议论文一百余篇，谷歌学术引用量6000余次，H因子45。期刊Nature-SR和FrontierSP副编辑，IEEE-TETCI客座编辑；担任2019年国际情感计算和智能交互会议（AAAC）区域主席；多次举办IEEE-ICASSP/AAAC专题会议。

研究方向包括自然语音与语言处理、多模态大模型、情感计算、健康计算等。

E-mail：zixingzhang@hnu.edu.cn

学生培养

培养目标：结合个人目标，培养满足一线互联网企业、研究机构、或高等院校任职的人工智能领域人才

【本科招生要求】

1.对人工智能充满热情，对科学研究感兴趣；

2.欢迎各年级本科生提前进课题研究组。

【硕士招生要求】

1.专业背景：人工智能、计算机科学与技术、电子信息、软件工程；

2.拥有良好的英语写作和数学表达基础（学术型），或较强的软件工程能力（工程型）；

3.欢迎保研生、统考生提前联系了解。

【博士招生要求】

1.专业背景：人工智能/模式识别/机器学习、智能语音、自然语言处理、生物医学信息等；

2.拥有优秀的英语写作和数学表达基础；

3.拥有强烈的课题研究兴趣和自我驱动力、以及较强的创新思考力；

4.欢迎直博生提前联系了解。

【博后招生要求】

1.研究背景： 智能语音或语言处理、情感计算、健康计算、多模态信息融合与生成；

2.拥有专业的英语写作和数学表达基础；

3.拥有强烈的课题研究兴趣和自我驱动力、以及较强的创新思考力；

4.发表过国际高水平论文；

5.待遇详情请随时联系咨询。

发表学术论文完整列表请见：https://scholar.google.com/citations?hl=en&user=S998M7cAAAAJ&view_op=list_works&sortby=pubdate

科研著作：

[1]Z. Zhang, Semi-Autonomous Data Enrichment and Optimisation for Intelligent Speech Analysis. Munich, Germany: Verlag Dr. Hut, 2015

发表论文：

[1] Z. Zhang, D. Liu, J. Han, K. Qian, and B. W. Schuller, “Learning audio sequence representations for acoustic event classification,” Expert Systems with Applications, vol. 178, p. 115007, June 2021

[2] K. Qian, Z. Zhang, Y. Yamamoto, and B. W. Schuller, “Artificial intelligence internet of things for the elderly: From assisted living to health-care monitoring,” IEEE Signal Processing Magazine, vol. 38, pp. 78–88, Sep. 2021

[3] J. Han, Z. Zhang, C. Mascolo, E. Andr ?e, J. Tao, Z. Zhao, and B. W. Schuller, “Deep learning for mobile mental health: Challenges and recent advances,” IEEE Signal Processing Magazine, vol. 38, pp. 96–105, Nov. 2021

[4] J. Han, Z. Zhang, Z. Ren, and B. Schuller, “Emobed: Strengthening emotion recognition via training with crossmodal emotion embeddings,” IEEE Transactions on Affective Computing, vol. 12, pp. 553–564, Oct. 2021

[5] Z. Zhang, J. Han, K. Qian, C. Janott, Y. Guo, and B. Schuller, “Snore-GANs: Improving Automatic Snore Sound Classification with Synthesized Data,” IEEE Journal of Biomedical and Health Informatics, vol. 24, pp. 300–310, May 2020

[6] Z. Zhang, J. Han, E. Coutinho, and B. Schuller, “Dynamic Difficulty Awareness Training for Continuous Emotion Prediction,” IEEE Transactions on Multimedia, vol. 21, pp. 1289–1301, May 2018

[7] Z. Zhang, J. T. Geiger, J. Pohjalainen, A. E. Mousa, W. Jin, and B. Schuller, “Deep Learning for Environmentally Robust Speech Recognition: An Overview of Recent Developments,” ACM Transactions on Intelligent Systems and Technology, vol. 9, June 2018

[8] Z. Zhang, N. Cummins, and B. Schuller, “Advanced Data Exploitation in Speech Analysis – An Overview,” IEEE Signal Processing Magazine, vol. 34, pp. 107–129, July 2017

[9] Z. Zhang, E. Coutinho, J. Deng, and B. Schuller, “Cooperative Learning and its Application to Emotion Recognition from Speech,” IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 23,pp. 115–126, Jan. 2015

[10] Z. Zhang, E. Coutinho, J. Deng, and B. Schuller, “Distributing Recognition in Computational Paralinguistics,” IEEE Transactions on Affective Computing, vol. 5, pp. 406–417, Oct.–Dec. 2014

[11] Z. Zhang, J. Pinto, C. Plahl, B. Schuller, and D. Willett, “Channel Mapping using Bidirectional Long Short-Term Memory for Dereverberation in Hands-Free Voice Controlled Devices,” IEEE Transactions on Consumer Electronics, vol. 60, pp. 525–533, Aug. 2014

发明专利：

[1]Z. Zhang, T. Farnsworth, S. Lin, and S. Karout, “End-to-end streaming acoustic trigger apparatus and method,” PCT/EP2020/085015, Dec. 12, 2020 (filed date)