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2020 – today
- 2024
[j2]Shao-Qun Zhang, Jia-Yi Chen, Jin-Hui Wu, Gao Zhang, Huan Xiong, Bin Gu, Zhi-Hua Zhou:
On the Intrinsic Structures of Spiking Neural Networks. J. Mach. Learn. Res. 25: 194:1-194:74 (2024)- [j1]Jin-Hui Wu
, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou:
Theoretical Exploration of Flexible Transmitter Model. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3674-3688 (2024) - [c2]Shen-Huan Lyu, Jin-Hui Wu, Qin-Cheng Zheng, Baoliu Ye:
The Role of Depth, Width, and Tree Size in Expressiveness of Deep Forest. ECAI 2024: 2042-2049 - [i3]Shen-Huan Lyu, Jin-Hui Wu, Qin-Cheng Zheng, Baoliu Ye:
The Role of Depth, Width, and Tree Size in Expressiveness of Deep Forest. CoRR abs/2407.05108 (2024) - 2023
- [c1]Jin-Hui Wu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou:
Complex-valued Neurons Can Learn More but Slower than Real-valued Neurons via Gradient Descent. NeurIPS 2023 - 2022
- [i2]Gao Zhang, Jin-Hui Wu, Shao-Qun Zhang:
On the Approximation and Complexity of Deep Neural Networks to Invariant Functions. CoRR abs/2210.15279 (2022) - 2021
- [i1]Jin-Hui Wu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou:
Towards Theoretical Understanding of Flexible Transmitter Networks via Approximation and Local Minima. CoRR abs/2111.06027 (2021)
Coauthor Index
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