Ma, Zhengyu

11 publications

ICLR 2026 EA3D: Event-Augmented 3D Diffusion for Generalizable Novel View Synthesis Wangbo Yu, Chaoran Feng, Jianing Li, Aofan Zhang, Zhenyu Tang, Mingyi Guo, Wei Zhang, Zhengyu Ma, Li Yuan, Yonghong Tian

ICLR 2026 Towards Lossless Memory-Efficient Training of Spiking Neural Networks via Gradient Checkpointing and Spike Compression Yifan Huang, Wei Fang, Zecheng Hao, Zhengyu Ma, Yonghong Tian

NeurIPS 2025 Multiplication-Free Parallelizable Spiking Neurons with Efficient Spatio-Temporal Dynamics Peng Xue, Wei Fang, Zhengyu Ma, Zihan Huang, Zhaokun Zhou, Yonghong Tian, Timothée Masquelier, Huihui Zhou

NeurIPS 2025 S$^2$M-Former: Spiking Symmetric Mixing Branchformer for Brain Auditory Attention Detection Jiaqi Wang, Zhengyu Ma, Xiongri Shen, Chenlin Zhou, Leilei Zhao, Han Zhang, Yi Zhong, Siqi Cai, Zhenxi Song, Zhiguo Zhang

NeurIPS 2025 Time-Evolving Dynamical System for Learning Latent Representations of Mouse Visual Neural Activity Liwei Huang, Zhengyu Ma, Liutao Yu, Huihui Zhou, Yonghong Tian

NeurIPS 2024 Long-Range Feedback Spiking Network Captures Dynamic and Static Representations of the Visual Cortex Under Movie Stimuli Liwei Huang, Zhengyu Ma, Liutao Yu, Huihui Zhou, Yonghong Tian

NeurIPS 2024 QKFormer: Hierarchical Spiking Transformer Using Q-K Attention Chenlin Zhou, Han Zhang, Zhaokun Zhou, Liutao Yu, Liwei Huang, Xiaopeng Fan, Li Yuan, Zhengyu Ma, Huihui Zhou, Yonghong Tian

ICLR 2023 A Unified Framework for Soft Threshold Pruning Yanqi Chen, Zhengyu Ma, Wei Fang, Xiawu Zheng, Zhaofei Yu, Yonghong Tian

AAAI 2023 Deep Spiking Neural Networks with High Representation Similarity Model Visual Pathways of Macaque and Mouse Liwei Huang, Zhengyu Ma, Liutao Yu, Huihui Zhou, Yonghong Tian

NeurIPS 2023 Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-Term Dependencies Wei Fang, Zhaofei Yu, Zhaokun Zhou, Ding Chen, Yanqi Chen, Zhengyu Ma, Timothée Masquelier, Yonghong Tian

ICML 2022 State Transition of Dendritic Spines Improves Learning of Sparse Spiking Neural Networks Yanqi Chen, Zhaofei Yu, Wei Fang, Zhengyu Ma, Tiejun Huang, Yonghong Tian