Fang, Wei

17 publications

ICML 2025 Differential Coding for Training-Free ANN-to-SNN Conversion Zihan Huang, Wei Fang, Tong Bu, Peng Xue, Zecheng Hao, Wenxuan Liu, Yuanhong Tang, Zhaofei Yu, Tiejun Huang

NeurIPS 2025 Dual-Res Tandem Mamba-3D: Bilateral Breast Lesion Detection and Classification on Non-Contrast Chest CT Jiaheng Zhou, Wei Fang, Luyuan Xie, Yanfeng Zhou, Lianyan Xu, Minfeng Xu, Ge Yang, Yuxing Tang

ICLR 2025 MaRS: A Fast Sampler for Mean Reverting Diffusion Based on ODE and SDE Solvers Ao Li, Wei Fang, Hongbo Zhao, Le Lu, Ge Yang, Minfeng Xu

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

CVPR 2024 CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data Wei Fang, Yuxing Tang, Heng Guo, Mingze Yuan, Tony C. W. Mok, Ke Yan, Jiawen Yao, Xin Chen, Zaiyi Liu, Le Lu, Ling Zhang, Minfeng Xu

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

ICCV 2023 CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans Jieneng Chen, Yingda Xia, Jiawen Yao, Ke Yan, Jianpeng Zhang, Le Lu, Fakai Wang, Bo Zhou, Mingyan Qiu, Qihang Yu, Mingze Yuan, Wei Fang, Yuxing Tang, Minfeng Xu, Jian Zhou, Yuqian Zhao, Qifeng Wang, Xianghua Ye, Xiaoli Yin, Yu Shi, Xin Chen, Jingren Zhou, Alan Yuille, Zaiyi Liu, Ling Zhang

NeurIPS 2023 Exploring Loss Functions for Time-Based Training Strategy in Spiking Neural Networks Yaoyu Zhu, Wei Fang, Xiaodong Xie, Tiejun Huang, Zhaofei Yu

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

NeurIPS 2022 Neuron with Steady Response Leads to Better Generalization Qiang Fu, Lun Du, Haitao Mao, Xu Chen, Wei Fang, Shi Han, Dongmei Zhang

ICLR 2022 Optimal ANN-SNN Conversion for High-Accuracy and Ultra-Low-Latency Spiking Neural Networks Tong Bu, Wei Fang, Jianhao Ding, Penglin Dai, Zhaofei Yu, Tiejun Huang

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

NeurIPS 2022 Training Spiking Neural Networks with Event-Driven Backpropagation Yaoyu Zhu, Zhaofei Yu, Wei Fang, Xiaodong Xie, Tiejun Huang, Timothée Masquelier

NeurIPS 2021 Deep Residual Learning in Spiking Neural Networks Wei Fang, Zhaofei Yu, Yanqi Chen, Tiejun Huang, Timothée Masquelier, Yonghong Tian

ICCV 2021 Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks Wei Fang, Zhaofei Yu, Yanqi Chen, Timothée Masquelier, Tiejun Huang, Yonghong Tian

IJCAI 2021 Pruning of Deep Spiking Neural Networks Through Gradient Rewiring Yanqi Chen, Zhaofei Yu, Wei Fang, Tiejun Huang, Yonghong Tian

MLJ 2015 Random Drift Particle Swarm Optimization Algorithm: Convergence Analysis and Parameter Selection Jun Sun, Xiaojun Wu, Vasile Palade, Wei Fang, Yuhui Shi