Shuhan Ye

According to our database, Shuhan Ye authored at least 12 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

STARS: Spike Tail-Aware Relational Synthesis for ANN-to-SNN Data-Free Knowledge Distillation.

Shuhan Ye, Yi Yu, Qixin Zhang, Hui Lu, Jiaming He, Qinggang Zhang, Li Shen, Xudong Jiang

CoRR, May, 2026

Benchmarking Fairness in Spiking Neural Networks: Data Bias, Spurious Features, and Hardware Effects.

Hudi He, Fukun Wang, Zhe Wang, Xinyi Wang, Shuhan Ye, Jiarui Liu, Qing Qing, Ziqi Xu, Xikun Zhang, Renqiang Luo

CoRR, May, 2026

Time Is All It Takes: Spike-Retiming Attacks on Event-Driven Spiking Neural Networks.

Yi Yu, Qixin Zhang, Shuhan Ye, Xun Lin, Qianshan Wei, Kun Wang, Wenhan Yang, Dacheng Tao, Xudong Jiang

CoRR, February, 2026

Fire on Motion: Optimizing Video Pass-bands for Efficient Spiking Action Recognition.

Shuhan Ye, Yuanbin Qian, Yi Yu, Chong Wang, Yuqi Xie, Jiazhen Xu, Kun Wang, Xudong Jiang

CoRR, January, 2026

ORION: Option-Regularized Deep Reinforcement Learning for Cooperative Multi-Agent Online Navigation.

Shizhe Zhang, Jingsong Liang, Zhitao Zhou, Shuhan Ye, Yizhuo Wang, Derek Ming Siang Tan, Jimmy Chiun, Yuhong Cao, Guillaume Sartoretti

CoRR, January, 2026

2025

Breaking the Modality Wall: Time-step Mixup for Efficient Spiking Knowledge Transfer from Static to Event Domain.

Yuqi Xie, Shuhan Ye, Yi Yu, Chong Wang, Qixin Zhang, Jiazhen Xu, Le Shen, Yuanbin Qian, Jiangbo Qian, Guoqi Li

CoRR, November, 2025

Sparse by Rule: Probability-Based N:M Pruning for Spiking Neural Networks.

Shuhan Ye, Yi Yu, Qixin Zhang, Chenqi Kong, Qiangqiang Wu, Xudong Jiang, Dacheng Tao

CoRR, November, 2025

Learning from Dense Events: Towards Fast Spiking Neural Networks Training via Event Dataset Distillation.

Shuhan Ye, Yi Yu, Qixin Zhang, Chenqi Kong, Qiangqiang Wu, Kun Wang, Xudong Jiang

CoRR, November, 2025

Time-step Mixup for Efficient Spiking Knowledge Transfer from Appearance to Event Domain.

Yuqi Xie, Shuhan Ye, Chong Wang, Jiazhen Xu, Le Shen, Yuanbin Qian, Jiangbo Qian

CoRR, September, 2025

Cross Knowledge Distillation between Artificial and Spiking Neural Networks.

Shuhan Ye, Yuanbin Qian, Chong Wang, Sunqi Lin, Jiazhen Xu, Jiangbo Qian, Yuqi Li

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

UCF-Crime-DVS: A Novel Event-Based Dataset for Video Anomaly Detection with Spiking Neural Networks.

Yuanbin Qian, Shuhan Ye, Chong Wang, Xiaojie Cai, Jiangbo Qian, Jiafei Wu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2022

Research on Quantitative Trading Strategy based on LSTM and Dynamic Programming.

Rui Ma, Shuhan Ye, Zihao Feng, Jiyang Jin

Proceedings of the International Conference on Computers, 2022