张子兴
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教师介绍

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教授,博士生导师,国家高层次青年人才,湖南大学文化与媒体计算研究中心副主任,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;2025年英国剑桥大学访问教授。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、数字文化等。

个人主页:www.zixing.me

本人常年招收博士后若干名,感兴趣的请联系zixingzhang@hnu.edu.cn
中文名: 张子兴 英文名:
学历: 博士 职称: 教授
联系电话: 电子邮件: zixingzhang@hnu.edu.cn
研究方向: 人工智能、自然语音与语言处理、多模态大模型、情感计算、健康计算、数字文化
联系地址: 湖南省长沙市岳麓区麓山南路2号,湖南大学信息科学与工程学院(410082)
所属机构:  计算机工程系  学院教师
学生培养

对您期待:

  • - 希望您有较好的数学和英语基础,同时对研究课题有浓厚的兴趣,具有较强的探索欲驱动力

  • - 希望您有脱胎换骨的心理准备,能意识到努力奋斗的最大受益者是自己,而不是任何其他人!

  • - 希望您毕业时四有(有梦想、有目标、有信心、有成果)五会(会思考、会规划、会行动、会审视、会学习)!


对您承诺:

  • - 对想去高校任教的同学,将尽力指导或协助您做好职业规划、多出科研成果!

  • - 对想出国的同学,将推荐您去国外高水平机构(如慕尼黑工业大学、伦敦帝国理工、剑桥大学等)学习!

  • - 对想就业的同学,在满足一定的要求和时间条件下,支持您去国内外一线互联网或研究机构实习!

  • - 对取得阶段性成果的同学,将及时给予一定的奖励!


【硕士招生】:每年可能有3个左右的名额欢迎保研生、统考生提前联系了解

【博士招生】:每年可能有1~2个名额

【博士后招生】:常年招生,提供有竞争力的薪资待遇!详情请随时联系咨询。



学术论文

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


学术著作:

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


国际专利:

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) 


2025年论文发表列表:

  1. Bin Wang, Yang Xu, Huan zhao, Hao Zhang, Zixing Zhang*, PTalker: Personalized Speech-Driven 3D Talking Head Animation via Style Disentanglement and Modality Alignment, ACM Multimedia, 2025

  2. Zongren Dong, Weixiang Xu, Xinzhou Xu, Jianjun Ou, Zixing Zhang*, Modality Imbalance? Dynamic Multi-Modal Knowledge Distillation in Automatic Alzheimer’s Disease Recognition, IEEE Journal of Biomedical Health Informatics, 2025.

  3. Weixiang Xu, Zhongren Dong, Jing Peng, Runming Wang, and Zixing Zhang*, BAHBench: A Unified Benchmark for Evaluating Bio-Acoustic Health with Acoustic Foundation Models, IEEE Journal of Biomedical Health Informatics, 2025

  4. Huan Zhao, Zeyi Li, Song Wang, Zixing Zhang, Keqin Li, Robust Hashing with Bilinear Drift for Image-Text Retrieval, IEEE Trans. Circuits and Systems for Video Technology, 2025.

  5. Haijiao Chen, Huan Zhao*, Zixing Zhang*, Keqin Li, Federal parameter-efficient fine-tuning reconstructs robust privacy preservation for speech emotion recognition, Expert Systems with Applications, 2024.

  6. Xiangheng He, Junjie Chen, Zixing Zhang*, Bjoern Schuller, ProsodyFM: Unsupervised Phrasing and Intonation Control for Intelligible Speech Synthesis, AAAI, 2025

  7. Xupeng Zha, Huan Zhao*, Guanghui Ye, Zixing Zhang*, Dual-View Learning for Conversational Emotion Recognition through Context and Emotion-Shift Modeling, AAAI, 2025

  8. Zhongren Dong, Donghao Wang, Ciqiang Chen, Dong-Yan Huang, and Zixing Zhang*, MHSDB: A Comprehensive Benchmark for Multimodal Humor and Sarcasm Detection Leveraging Foundation Models,  ICASSP, 2025.

  9. Weixiang Xu, Zhongren Dong, Runming Wang, Xinzhou Xu, and Zixing Zhang*, GateM^2Former: Gated Feature Selection and Expert Modeling in Multimodal Emotion Recognition,  ICASSP, 2025.

  10. Zixing Zhang, Yimeng Wu, Zhongren Dong, Wulong Xiang, Shengfan Shen, and Bjoern W. Schuller, SSE: A Speaking Style Extractor Based on Fine-Grained Contrastive Learning between Speech and Descriptive Text,  ICASSP, 2025.

  11. Zixing Zhang, Jiajun Li, Bin Wang, Yiming Liu, Huan Zhao, Bj?rn W. Schuller, XDGesture: an xLSTM-based diffusion model for co-speech gesture generation,  ICASSP, 2025.

  12. Huan Zhao, Yingxue Gao, Haijiao Chen, Bo Li, Guanghui Ye, Zixing Zhang*, Enhanced Multimodal Emotion Recognition in Conversations via Contextual Filtering and Multi-Frequency Graph Propagation, ICASSP, 2025.

  13. Yiming Liu, Huan Zhao, Yaqian Liu, Haijiao Chen, Bo Li, Guanghui Ye, Zixing Zhang*, DSSM: Dual State Space Model For Human Motions Generation, ICASSP, 2025.

  14. Haijiao Chen, Huan Zhao, Yingxue Gao, Yiming Liu, Zixing Zhang*, Parameter-Efficient Federal-Tuning Enhances Privacy Preserving for Speech Emotion Recognition, ICASSP, 2025.

  15. Yuanchao Li, Zixing Zhang, Jing Han, Peter Bell, Catherine Lai, Semi-Supervised Cognitive State Classification from Speech with Multi-View Pseudo-Labeling, ICASSP, 2025.

  16. Chen Zhang, Yang Xu*, Tingqiao Huang, Zixing Zhang, Rethinking Removal Attack and Fingerprinting Defense for Model Intellectual Property Protection: A Frequency Perspective, IJCAI, 2025


2024年论文发表列表:

Zixing Zhang*, Weixiang Xu, Zhongren Dong, Kanglin Wang, Jing Peng, Runming Wang, Dong-Yan Huang, ParaLBench: A Large-Scale Benchmark for Computational Paralinguistics over Acoustic Foundation Models, IEEE Trans. Affective Computing, 2024.

Zixing Zhang*, Zhongren Dong, Weixiang Xu, Jing Han*, Re-Parameterization of Lightweight Transformer for On-Device Speech Emotion Recognition, IEEE Internet of Things Journal, 2024.

Haijiao Chen, Huan Zhao*, Zixing Zhang*, Gradient-Level Differential Privacy against Attribute Inference Attack for Speech Emotion Recognition, IEEE Signal Processing Letter, 2024.

Zixing Zhang, Liyizhe Peng, Tao Pang, Jing Han*, Huan Zhao, Bjoern W. Schuller, Refashioning Emotion Recognition Modelling: The Advent of Generalised Large Models, IEEE Trans. on Computational Social Systems, 2024. 

Haijiao Chen, Huan Zhao*, Zixing Zhang*, Keqin Li, Discriminative Feature Learning-Based Federated Lightweight Distillation Against Multiple Attacks, IEEE Internet of Things Journal, 2024

Song Wang, Huan Zhao*, Zixing Zhang, Keqin Li, Individual mapping and asymmetric dual supervision for discrete cross-modal hashing, Expert Systems with Applications, 2024

Huan Zhao, Xupeng Zha*, Zixing Zhang*, EmoTransKG: An Innovative Emotion Knowledge Graph to Reveal Emotion Transformation, findings in Annual Meeting of the Association for Computational Linguistics (ACL), 2024. 

Zixing Zhang, Zhongren Dong, Zhiqiang Gao, Shihao Gao, Donghao Wang, Ciqiang Chen, Yuhan Nie, Huan Zhao, Open Vocabulary Emotion Prediction Based on Large Multimodal Models, Proc. 2nd International Workshop on Multimodal and Responsible Affective Computing (MRAC), Melbourne, Australia, 2024. (2nd place in MER challenge)

Liyizhe Peng, Zixing Zhang*, Tao Pang, Jing Han, Huan Zhao, Hao Chen, Bj?rn W. Schuller, Customising General Large Language Models for Specialised Emotion Recognition Tasks, ICASSP, 2024

Xupeng Zha, Huan Zhao*, Zixing Zhang*, ESIHGNN: Event-State Interactions Infused Heterogeneous Graph Neural Network for Conversational Emotion Recognition, ICASSP, 2024

Yingxue Gao, Huan Zhao*, Zixing Zhang*, Adaptive  speech emotion representation learning based on dynamic graph, ICASSP, 2024. 

Zhongren Dong, Zixing Zhang*, Weixiang Xu, Jing Han*, Jianjun Ou, Bj?rn W. Schuller, HAFFormer: A Hierarchical Attention-Free Framework for Alzheimer's Disease Detection from Spontaneous Speech, ICASSP, 2024

Zixing Zhang, Tao Pang*, Jing Han, Bjoern W Schuller, Intelligent Cardiac Auscultation for Murmur Detection via Parallel-Attentive Models with Uncertainty Estimation, ICASSP, 2024.

Guanghui Ye, Huan Zhao, Zixing Zhang, Xupeng Zha, Zhihua Jiang, LSTDial: Enhancing Dialogue Generation via Long- and Short-Term Measurement Feedback, NAACL, 2024


2021年及以前(代表性论文):

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

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

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

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

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

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

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

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

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

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

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