Jin-Hui Wu

According to our database, Jin-Hui Wu authored at least 7 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Reparameterized Complex-valued Neurons Can Efficiently Learn More than Real-valued Neurons via Gradient Descent.

Jin-Hui Wu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou

J. Mach. Learn. Res., 2026

2024

Theoretical Exploration of Flexible Transmitter Model.

Jin-Hui Wu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou

IEEE Trans. Neural Networks Learn. Syst., March, 2024

On the Intrinsic Structures of Spiking Neural Networks.

Shao-Qun Zhang, Jia-Yi Chen, Jin-Hui Wu, Gao Zhang, Huan Xiong, Bin Gu, Zhi-Hua Zhou

J. Mach. Learn. Res., 2024

The Role of Depth, Width, and Tree Size in Expressiveness of Deep Forest.

Shen-Huan Lyu, Jin-Hui Wu, Qin-Cheng Zheng, Baoliu Ye

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

Complex-valued Neurons Can Learn More but Slower than Real-valued Neurons via Gradient Descent.

Jin-Hui Wu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

On the Approximation and Complexity of Deep Neural Networks to Invariant Functions.

Gao Zhang, Jin-Hui Wu, Shao-Qun Zhang

CoRR, 2022

2021

Towards Theoretical Understanding of Flexible Transmitter Networks via Approximation and Local Minima.

Jin-Hui Wu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou

CoRR, 2021