Tong Bu

Ph.D. Student,
Institute for Artificial Intelligence
School of Computer Science
Peking University.

No.5 Yiheyuan Road,
Haidian District, Beijing,
Room 2728, Science Building #2, Peking University.

Email: putong30@pku.edu.cn

Google Scholar

Brief Bio

I am a PHD student in Institute for Artificial Intelligence at Peking University, supervised by Professor Zhaofei Yu. I graduated from the School of EECS of Peking University with a bachelor's degree. My major research interests are neuromorphic computing, efficient models and machine learning.

Education

Peking University.
2022 - present, Ph.D., Computer Science.

Peking University.
2018 - 2022, Graduate Student, Computer Science.

Publications

Activity Pruning for Efficient Spiking Neural Networks
Tong Bu†, Xinyu Shi, Zhaofei Yu*
NeurIPS 2025

Inference-Scale Complexity in ANN-SNN Conversion for High-Performance and Low-Power Applications
Tong Bu†, Maohua Li†, Zhaofei Yu*
CVPR 2025

Ultrafast Probabilistic Neuron in an Artificial Spin Ice for Robust Deep Neural Networks
Zhongyu Liang, Tong Bu, Zijian Lyu, et al.
Advanced Functional Materials

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

Robust decoding of rich dynamical visual scenes with retinal spikes
Zhaofei Yu, Tong Bu, Yijun Zhang, Shanshan Jia, Tiejun Huang, Jian K. Liu
IEEE Transactions on Neural Networks and Learning Systems

SNN-RAT: Robustness-enhanced Spiking Neural Network through Regularized Adversarial
Jianhao Ding, Tong Bu, Zhaofei Yu*, Jian K. Liu, Tiejun Huang
NeurIPS 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
ICLR 2022

Decoding Pixel-Level Image Features from Two-Photon Calcium Signals of Macaque Visual Cortex
Yijun Zhang, Tong Bu, Jiyuan Zhang, Shiming Tang, Zhaofei Yu*, Jian K. Liu, Tiejun Huang
Neural Computation

Optimized Potential Initialization for Low-latency Spiking Neural Networks
Tong Bu, Jianhao Ding, Zhaofei Yu*, Tiejun Huang
AAAI 2022