Zecheng Hao

According to our database, Zecheng Hao authored at least 26 papers between 2023 and 2026.

Collaborative distances:

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

2026

Uncertainty-Aware Token Importance Estimation in Spiking Transformers.

Wenxuan Liu, Zecheng Hao, Tong Bu, Yuran Wang, Zhaofei Yu

CoRR, May, 2026

Ge²mS-T: Multi-Dimensional Grouping for Ultra-High Energy Efficiency in Spiking Transformer.

Zecheng Hao, Shenghao Xie, Kang Chen, Wenxuan Liu, Zhaofei Yu, Tiejun Huang

CoRR, April, 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

Trans. Mach. Learn. Res., 2026

2025

Emu3.5: Native Multimodal Models are World Learners.

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

CoRR, October, 2025

PT-BitNet: Scaling up the 1-Bit large language model with post-training quantization.

Yufei Guo, Zecheng Hao, Jiahang Shao, Jie Zhou, Xiaode Liu, Xin Tong, Yuhan Zhang, Yuanpei Chen, Weihang Peng, Zhe Ma

Neural Networks, 2025

UP-Diff: Latent Diffusion Model for Remote Sensing Urban Prediction.

Zeyu Wang, Zecheng Hao, Yuhan Zhang, Yuchao Feng, Yufei Guo

IEEE Geosci. Remote. Sens. Lett., 2025

Proxy Target: Bridging the Gap Between Discrete Spiking Neural Networks and Continuous Control.

Zijie Xu, Tong Bu, Zecheng Hao, Jianhao Ding, Zhaofei Yu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Faster and Stronger: When ANN-SNN Conversion Meets Parallel Spiking Calculation.

Zecheng Hao, Qichao Ma, Kang Chen, Yi Zhang, Zhaofei Yu, Tiejun Huang

Proceedings of the Forty-second International Conference on Machine Learning, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Faster and Stronger: When ANN-SNN Conversion Meets Parallel Spiking Calculation.

Zecheng Hao, Zhaofei Yu, Tiejun Huang

CoRR, 2024

Comprehensive Online Training and Deployment for Spiking Neural Networks.

Zecheng Hao, Yifan Huang, Zijie Xu, Zhaofei Yu, Tiejun Huang

CoRR, 2024

UP-Diff: Latent Diffusion Model for Remote Sensing Urban Prediction.

Zeyu Wang, Zecheng Hao, Jingyu Lin, Yuchao Feng, Yufei Guo

CoRR, 2024

SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks.

Xinyu Shi, Zecheng Hao, Zhaofei Yu

CoRR, 2024

LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model.

Zecheng Hao, Xinyu Shi, Zhiyu Pan, Yujia Liu, Zhaofei Yu, Tiejun Huang

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Towards High-performance Spiking Transformers from ANN to SNN Conversion.

Zihan Huang, Xinyu Shi, Zecheng Hao, Tong Bu, Jianhao Ding, Zhaofei Yu, Tiejun Huang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Enhancing Adversarial Robustness in SNNs with Sparse Gradients.

Yujia Liu, Tong Bu, Jianhao Ding, Zecheng Hao, Tiejun Huang, Zhaofei Yu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework.

Xinyu Shi, Jianhao Ding, Zecheng Hao, Zhaofei Yu

Proceedings of the Twelfth International Conference on Learning Representations, 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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Threaten Spiking Neural Networks through Combining Rate and Temporal Information.

Zecheng Hao, Tong Bu, Xinyu Shi, Zihan Huang, Zhaofei Yu, Tiejun Huang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks.

Xinyu Shi, Zecheng Hao, Zhaofei Yu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes.

Zecheng Hao, Jianhao Ding, Tong Bu, Tiejun Huang, Zhaofei Yu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks.

Tong Bu, Jianhao Ding, Zecheng Hao, Zhaofei Yu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Reducing ANN-SNN Conversion Error through Residual Membrane Potential.

Zecheng Hao, Tong Bu, Jianhao Ding, Tiejun Huang, Zhaofei Yu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023