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吴 锦 辉
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Biography
Jin-Hui Wu is a lecturer in the School of Computer Science and Technology at Soochow University. His major research focuses on machine learning and its theories, especially on theories of flexible transmitter networks and complex-valued neural networks.Experiences:
- Sep 2025 - Present: Lecturer, School of Computer Science and Technology, Soochow University.
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Sep 2019 - Sep 2025: Ph.D., School of Artificial Intelligence, Nanjing University. (without entrance examination)
Supervisors: Prof. Yuan Jiang and Prof. Zhi-Hua Zhou. -
Sep 2015 - Jun 2019: B.Sc., Kuang Yaming Honors School, Nanjing University.
Supervisor: Prof. Wei Wang.
Publications
* Equal Contribution.-
Universal Approximation and Approximation Advantages of Quaternion-valued Neural Networks [in Chinese].
[paper]
[bib]
Jin-Hui Wu, Yuan Jiang.
Journal of Computer Research and Development, 2025, 62(5): 1205-1215.
(Best Student Paper Award of the 10th China Conference on Data Mining (CCDM), 2024) -
The Role of Depth, Width, and Tree Size in Expressiveness of Deep Forest.
[paper]
[code]
[bib]
Shen-Huan Lyu*, Jin-Hui Wu*, Qin-Cheng Zheng, Baoliu Ye.
In: Proceedings of the 27th European Conference on Artificial Intelligence (ECAI), 2024, 2042-2049. -
On the Intrinsic Structures of Spiking Neural Networks.
[paper]
[bib]
Shao-Qun Zhang, Jia-Yi Chen, Jin-Hui Wu, Gao Zhang, Huan Xiong, Bin Gu, Zhi-Hua Zhou.
Journal of Machine Learning Research (JMLR), 2024, 25(194): 1-74. -
Theoretical Exploration of Flexible Transmitter Model.
[paper]
[bib]
Jin-Hui Wu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou.
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024, 35(3): 3674-3688. -
Complex-valued Neurons Can Learn More but Slower than Real-valued Neurons via Gradient Descent.
[paper]
[poster]
[code]
[bib]
[corrigenda]
Jin-Hui Wu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou.
In: Advances in Neural Information Processing Systems 36 (NeurIPS), 2023, 23714-23747.
Service
Conference Reviewers:- AAAI: 2025
- ACML: 2025
- AISTATS: 2025, 2026
- ECAI: 2023 (Early Bird Award)
- ICLR: 2024, 2025
- ICML: 2025
- NeurIPS: 2023, 2024, 2025
- PAKDD: 2023, 2024, 2025, 2026
- TNNLS
Correspondence
My email at NJU is: wujh@lamda.nju.edu.cnMore information will be added soon.
Page updated on 2025-08-29.