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I work at National Engineering Research Center of Visual Technology, Peking University as a PhD student now, majoring in visual information processing and brain like intelligence. My research interest includes Spiking Neural Network (SNN), computer vision and computational neuroscience. Our related works have published at the top international ML, CV and AI conferences. If interested, feel free to email me at [email protected].
- 2024.02 : 🎉 3 papers have been accepted by ICLR 2024, including 2 first-authored papers. I will participate in the review of ICML 2024.
A Progressive Training Framework for Spiking Neural Networks with Learnable Multi-hierarchical Model
📰Paper | 
Zecheng Hao, Xinyu Shi, Zihan Huang, Tong Bu, Zhaofei Yu, Tiejun Huang
Threaten Spiking Neural Networks through Combining Rate and Temporal Information
📰Paper | 
Zecheng Hao, Tong Bu, Xinyu Shi, Zihan Huang, Tiejun Huang, Zhaofei Yu
Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes
🖥️Code 
Zecheng Hao, Jianhao Ding, Tong Bu, Tiejun Huang, Zhaofei Yu
Reducing ANN-SNN Conversion Error through Residual Membrane Potential
🖥️Code 
Zecheng Hao, Tong Bu, Jianhao Ding, Tiejun Huang, Zhaofei Yu
 Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework | Xinyu Shi, Jianhao Ding, Zecheng Hao, Zhaofei Yu | 📰Paper
 Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks | Tong Bu, Jianhao Ding, Zecheng Hao, Zhaofei Yu | 🖥️[Code](https://github. com/putshua/SNN_attack_RGA) | 📰Paper
2023.06 : Excellent Undergraduate Thesis of Peking University
- 2023.09 - 2028.06, PhD student, Peking University, Beijing.
- 2019.09 - 2023.06, Undergraduate, Peking University, Beijing.
- Reviewer of Conferences: NeurIPS, ICLR, ICML