吴锦辉

发布时间：2026-03-30浏览次数：30

  • 1、Complex-valued Neurons Can Learn More but Slower than Real-valued Neurons via Gradient Descent,Advances in Neural Information Processing Systems 36 (CCF-A会议),Jin-Hui Wu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou,23714-23747
  • 2、Theoretical Exploration of Flexible Transmitter Model,IEEE Transactions on Neural Networks and Learning Systems (中科院SCI一区),Jin-Hui Wu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou,35(3): 3674-3688
  • 3、On the Intrinsic Structures of Spiking Neural Networks,Journal of Machine Learning Research (CCF-A期刊),Shao-Qun Zhang, Jia-Yi Chen, Jin-Hui Wu, Gao Zhang, Huan Xiong, Bin Gu, Zhi-Hua Zhou,25(194): 1-74
  • 4、The Role of Depth, Width, and Tree Size in Expressiveness of Deep Forest,Proceedings of the 27th European Conference on Artificial Intelligence (CCF-B会议),Shen-Huan Lyu, Jin-Hui Wu, Qin-Cheng Zheng, Baoliu Ye,2042-2049,共一
  • 5、四元数神经网络的通用近似与逼近优势,计算机研究与发展 (中文CCF-A期刊),吴锦辉, 姜远,62(5): 1205-1215
  • 6、Reparameterized Complex-valued Neurons Can Efficiently Learn More than Real-valued Neurons via Gradient Descent,Journal of Machine Learning Research (CCF-A期刊),Jin-Hui Wu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou,27(38): 1-51