Zecheng Hao

31 papers A* 14Journal 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
MIRA: Multi-view Information Retrieval with Adaptive Routing for Test-time Long-video Comprehension.
Trans. Mach. Learn. Res.
Zecheng Hao, Wayne Ma, Yufeng Cui, Shuang Li, Xinlong Wang, Tiejun Huang
2025 A* conf
Differential Coding for Training-Free ANN-to-SNN Conversion.
ICML
Zihan Huang, Wei Fang, Tong Bu, Peng Xue, Zecheng Hao, Wenxuan Liu, Yuanhong Tang, Zhaofei Yu, Tiejun Huang
2025 J jnl
Differential Coding for Training-Free ANN-to-SNN Conversion.
CoRR
Zihan Huang, Wei Fang, Tong Bu, Peng Xue, Zecheng Hao, Wenxuan Liu, Yuanhong Tang, Zhaofei Yu, Tiejun Huang
2025 J jnl
Emu3.5: Native Multimodal Models are World Learners.
CoRR
Yufeng Cui, Honghao Chen, Haoge Deng, Xu Huang, Xinghang Li, Jirong Liu, Yang Liu, Zhuoyan Luo, Jinsheng Wang, Wenxuan Wang, Yueze Wang, Chengyuan Wang, Fan Zhang, Yingli Zhao, Ting Pan, Xianduo Li, Zecheng Hao, Wenxuan Ma, Zhuo Chen, Yulong Ao, Tiejun Huang, Zhongyuan Wang, Xinlong Wang
2025 A* conf
Faster and Stronger: When ANN-SNN Conversion Meets Parallel Spiking Calculation.
ICML
Zecheng Hao, Qichao Ma, Kang Chen, Yi Zhang, Zhaofei Yu, Tiejun Huang
2025 J jnl
PT-BitNet: Scaling up the 1-Bit large language model with post-training quantization.
Neural Networks
Yufei Guo, Zecheng Hao, Jiahang Shao, Jie Zhou, Xiaode Liu, Xin Tong, Yuhan Zhang, Yuanpei Chen, Weihang Peng, Zhe Ma
2025 J jnl
Proxy Target: Bridging the Gap Between Discrete Spiking Neural Networks and Continuous Control.
CoRR
Zijie Xu, Tong Bu, Zecheng Hao, Jianhao Ding, Zhaofei Yu
2025 J jnl
Towards High-performance Spiking Transformers from ANN to SNN Conversion.
CoRR
Zihan Huang, Xinyu Shi, Zecheng Hao, Tong Bu, Jianhao Ding, Zhaofei Yu, Tie-Jun Huang
2025 J jnl
UP-Diff: Latent Diffusion Model for Remote Sensing Urban Prediction.
IEEE Geosci. Remote. Sens. Lett.
Zeyu Wang, Zecheng Hao, Yuhan Zhang, Yuchao Feng, Yufei Guo
2025 A* conf
USP-Gaussian: Unifying Spike-based Image Reconstruction, Pose Correction and Gaussian Splatting.
CVPR
Kang Chen, Jiyuan Zhang, Zecheng Hao, Yajing Zheng, Tiejun Huang, Zhaofei Yu
2024 A* conf
A Progressive Training Framework for Spiking Neural Networks with Learnable Multi-hierarchical Model.
ICLR
Zecheng Hao, Xinyu Shi, Zihan Huang, Tong Bu, Zhaofei Yu, Tiejun Huang
2024 J jnl
Comprehensive Online Training and Deployment for Spiking Neural Networks.
CoRR
Zecheng Hao, Yifan Huang, Zijie Xu, Zhaofei Yu, Tiejun Huang
2024 A* conf
Enhancing Adversarial Robustness in SNNs with Sparse Gradients.
ICML
Yujia Liu, Tong Bu, Jianhao Ding, Zecheng Hao, Tiejun Huang, Zhaofei Yu
2024 J jnl
Enhancing Adversarial Robustness in SNNs with Sparse Gradients.
CoRR
Yujia Liu, Tong Bu, Jianhao Ding, Zecheng Hao, Tie-Jun Huang, Zhaofei Yu
2024 J jnl
Faster and Stronger: When ANN-SNN Conversion Meets Parallel Spiking Calculation.
CoRR
Zecheng Hao, Zhaofei Yu, Tiejun Huang
2024 A* conf
LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model.
NeurIPS
Zecheng Hao, Xinyu Shi, Yujia Liu, Zhaofei Yu, Tiejun Huang
2024 J jnl
LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model.
CoRR
Zecheng Hao, Xinyu Shi, Zhiyu Pan, Yujia Liu, Zhaofei Yu, Tiejun Huang
2024 A* conf
SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks.
CVPR
Xinyu Shi, Zecheng Hao, Zhaofei Yu
2024 J jnl
SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks.
CoRR
Xinyu Shi, Zecheng Hao, Zhaofei Yu
2024 A* conf
Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks.
NeurIPS
Yufei Guo, Yuanpei Chen, Zecheng Hao, Weihang Peng, Zhou Jie, Yuhan Zhang, Xiaode Liu, Zhe Ma
2024 J jnl
Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks.
CoRR
Yufei Guo, Yuanpei Chen, Zecheng Hao, Weihang Peng, Zhou Jie, Yuhan Zhang, Xiaode Liu, Zhe Ma
2024 A* conf
Threaten Spiking Neural Networks through Combining Rate and Temporal Information.
ICLR
Zecheng Hao, Tong Bu, Xinyu Shi, Zihan Huang, Zhaofei Yu, Tiejun Huang
2024 A* conf
Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework.
ICLR
Xinyu Shi, Jianhao Ding, Zecheng Hao, Zhaofei Yu
2024 A* conf
Towards High-performance Spiking Transformers from ANN to SNN Conversion.
ACM Multimedia
Zihan Huang, Xinyu Shi, Zecheng Hao, Tong Bu, Jianhao Ding, Zhaofei Yu, Tiejun Huang
2024 J jnl
UP-Diff: Latent Diffusion Model for Remote Sensing Urban Prediction.
CoRR
Zeyu Wang, Zecheng Hao, Jingyu Lin, Yuchao Feng, Yufei Guo
2024 J jnl
USP-Gaussian: Unifying Spike-based Image Reconstruction, Pose Correction and Gaussian Splatting.
CoRR
Kang Chen, Jiyuan Zhang, Zecheng Hao, Yajing Zheng, Tie-Jun Huang, Zhaofei Yu
2023 A* conf
Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes.
ICLR
Zecheng Hao, Jianhao Ding, Tong Bu, Tiejun Huang, Zhaofei Yu
2023 J jnl
Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes.
CoRR
Zecheng Hao, Jianhao Ding, Tong Bu, Tiejun Huang, Zhaofei Yu
2023 A* conf
Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks.
CVPR
Tong Bu, Jianhao Ding, Zecheng Hao, Zhaofei Yu
2023 A* conf
Reducing ANN-SNN Conversion Error through Residual Membrane Potential.
AAAI
Zecheng Hao, Tong Bu, Jianhao Ding, Tiejun Huang, Zhaofei Yu
2023 J jnl
Reducing ANN-SNN Conversion Error through Residual Membrane Potential.
CoRR
Zecheng Hao, Tong Bu, Jianhao Ding, Tiejun Huang, Zhaofei Yu