Hao, Zecheng

16 publications

TMLR 2026 MIRA: Multi-View Information Retrieval with Adaptive Routing for Test-Time Long-Video Comprehension Zecheng Hao, Wayne Ma, Yufeng Cui, Shuang Li, Xinlong Wang, Tiejun Huang

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

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

ICML 2025 Faster and Stronger: When ANN-SNN Conversion Meets Parallel Spiking Calculation Zecheng Hao, Qichao Ma, Kang Chen, Yi Zhang, Zhaofei Yu, Tiejun Huang

NeurIPS 2025 Proxy Target: Bridging the Gap Between Discrete Spiking Neural Networks and Continuous Control Zijie Xu, Tong Bu, Zecheng Hao, Jianhao Ding, Zhaofei Yu

CVPR 2025 USP-Gaussian: Unifying Spike-Based Image Reconstruction, Pose Correction and Gaussian Splatting Kang Chen, Jiyuan Zhang, Zecheng Hao, Yajing Zheng, Tiejun Huang, Zhaofei Yu

ICLR 2024 A Progressive Training Framework for Spiking Neural Networks with Learnable Multi-Hierarchical Model Zecheng Hao, Xinyu Shi, Zihan Huang, Tong Bu, Zhaofei Yu, Tiejun Huang

ICML 2024 Enhancing Adversarial Robustness in SNNs with Sparse Gradients Yujia Liu, Tong Bu, Jianhao Ding, Zecheng Hao, Tiejun Huang, Zhaofei Yu

NeurIPS 2024 LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart Through Learnable Multi-Hierarchical Threshold Model Zecheng Hao, Xinyu Shi, Yujia Liu, Zhaofei Yu, Tiejun Huang

CVPR 2024 SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks Xinyu Shi, Zecheng Hao, Zhaofei Yu

NeurIPS 2024 Take a Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks Yufei Guo, Yuanpei Chen, Zecheng Hao, Weihang Peng, Zhou Jie, Yuhan Zhang, Xiaode Liu, Zhe Ma

ICLR 2024 Threaten Spiking Neural Networks Through Combining Rate and Temporal Information Zecheng Hao, Tong Bu, Xinyu Shi, Zihan Huang, Zhaofei Yu, Tiejun Huang

ICLR 2024 Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework Xinyu Shi, Jianhao Ding, Zecheng Hao, Zhaofei Yu

ICLR 2023 Bridging the Gap Between ANNs and SNNs by Calibrating Offset Spikes Zecheng Hao, Jianhao Ding, Tong Bu, Tiejun Huang, Zhaofei Yu

CVPR 2023 Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks Tong Bu, Jianhao Ding, Zecheng Hao, Zhaofei Yu

AAAI 2023 Reducing ANN-SNN Conversion Error Through Residual Membrane Potential Zecheng Hao, Tong Bu, Jianhao Ding, Tiejun Huang, Zhaofei Yu