Yuhao Zhang received the B.Eng. and M.Sc. degrees from the College of Computer Science, Sichuan University in 2019 and 2022, respectively. He served at Zhejiang Lab from August 2022 to April 2024, and joined the Westlake Institute for Optoelectronics as an Assistant Engineer in May 2024.

Yuhao specializes in neuromorphic computing and spiking neural network (SNN). At Zhejiang Lab, he focused on developing on-chip learning algorithms for neuromorphic processors. Currently, he integrates SNNs with Transformer architectures, with exploring brain-inspired embodied intelligence systems.

[1] Ziming Wang, Yuhao Zhang, Shuang Lian, Xiaoxin Cui, Rui Yan, and Huajin Tang. Toward High-Accuracy and Low-Latency Spiking Neural Networks with Two-Stage Optimization. IEEE Transactions on Neural Networks and Learning Systems, 36(2):3189–3203, 2025.

[2]Yuhao Zhang, Mengwen Yuan, Yujing Lu, Rui Yan, and Huajin Tang. Neural network conversion method for dynamic event stream. Journal of Computer Applications, 42(10):3033–3039, 2022.

[3] Biao Fang, Yuhao Zhang, Rui Yan, and Huajin Tang. Spike Trains Encoding Optimization for Spiking Neural Networks Implementation in FPGA. In 2020 12th International Conference on Advanced Computational Intelligence (ICACI), pages 412–418. IEEE, 2020.