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Jin-Hui Wu

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2020 – today

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2024
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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)
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  - journals/corr/abs-2407-05108
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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
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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
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  - journals/corr/abs-2210-15279
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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
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  - journals/corr/abs-2111-06027
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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)

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