About Me

I am Kaiwei Che (Richard), a third-year Ph.D. student at Peking University (since Sep. 2023), advised by Prof. Yonghong Tian and Prof. Li Yuan. Before this, I received my Master’s degree from Southern University of Science and Technology (SUSTech) in 2023, advised by Prof. Qinghu Meng. I received my Bachelor’s degree from Shenzhen University in 2020.

I have interned at Huawei (2012 Lab, algorithm engineer, 2021–2023) and DJI (robot algorithm engineer, RoboMasters, 2018).

Research Interests

• Spiking Neural Networks (SNNs), brain-inspired algorithms, neuromorphic computing
• LLM sparse quantization and efficient inference acceleration
• Event-based vision and neuromorphic sensing

Publications

First Author

• ICML 2026 5554 under review Efficiently Training Time-to-First-Spike Spiking Neural Networks from Scratch
  Kaiwei Che, Wei Fang, Zhengyu Ma, Yifan Huang, Peng Xue, Li Yuan, Timothée Masquelier, Yonghong Tian

• AAAI 2026 Parallel Training Time-to-First-Spike Spiking Neural Networks
  Kaiwei Che, Wei Fang, Peng Xue, Yifan Huang, Zhengyu Ma, Yonghong Tian

• Frontiers in Neuroscience 2024 Auto-Spikformer: Spikformer Architecture Search
  Kaiwei Che, Zhaokun Zhou, Jun Niu, Zhengyu Ma, Wei Fang, Yanqi Chen, Shuaijie Shen, Li Yuan, Yonghong Tian

• Transactions on Artificial Intelligence 2024 Spatial-Temporal Search for Spiking Neural Networks
  Kaiwei Che, Zhaokun Zhou, Li Yuan, Jianguo Zhang, Yonghong Tian, Luziwei Leng

• Intelligence & Robotics 2024 A Deep Learning-based System for Accurate Detection of Anatomical Landmarks in Colon Environment
  Kaiwei Che, Chengwei Ye, Yibing Yao, Nachuan Ma, Ruo Zhang, Jiankun Wang, Max Q-H Meng

• NeurIPS 2022, Spotlight Differentiable Hierarchical and Surrogate Gradient Search for Spiking Neural Networks
  Kaiwei Che, Luziwei Leng, Kaixuan Zhang, Jianguo Zhang, Qinghu Meng, Jie Cheng, Qinghai Guo, Jianxing Liao

Co-Author

• Neural Networks 2025 Spatially-enhanced Spiking Neural Network for Efficient Point Cloud Analysis
  Yijie Lu, Zhiyi Pan, Renrui Zhang, Yanhao Jia, Kaiwei Che, Zhaokun Zhou

• NeurIPS 2024 Spiking Transformer with Experts Mixture
  Zhaokun Zhou, Yijie Lu, Yanhao Jia, Kaiwei Che, Jun Niu, Liwei Huang, Xinyu Shi, Yuesheng Zhu, Guoqi Li, Zhaofei Yu

• TIP, under review Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket
  Zhaokun Zhou, Kaiwei Che, Wei Fang, Keyu Tian, Yuesheng Zhu, Shuicheng Yan, Yonghong Tian, Li Yuan

• TNNLS 2024 Accurate and Efficient Event-based Semantic Segmentation Using Adaptive Spiking Encoder-Decoder Network
  Rui Zhang, Luziwei Leng, Kaiwei Che, Hu Zhang, Jie Cheng, Qinghai Guo, Jianxing Liao, Ran Cheng

• IEEE TCDS 2024 Automotive Object Detection via Learning Sparse Events by Spiking Neurons
  Hu Zhang, Yanchen Li, Luziwei Leng, Kaiwei Che, Qian Liu, Qinghai Guo, Jianxing Liao, Ran Cheng

• IEEE TCDS 2024 Spatial-Temporal Spiking Feature Pruning in Spiking Transformer
  Zhaokun Zhou, Kaiwei Che, Jun Niu, Man Yao, Guoqi Li, Li Yuan, Guibo Luo, Yuesheng Zhu

• ICANN 2024 A Multi-modal Spiking Meta-learner with Brain-Inspired Task-Aware Modulation Scheme
  Jun Niu, Zhaokun Zhou, Kaiwei Che, Li Yuan

• CVPR 2022 Discrete Time Convolution for Fast Event-Based Stereo
  Kaixuan Zhang, Kaiwei Che, Jianguo Zhang, Jie Cheng, Ziyang Zhang, Qinghai Guo, Luziwei Leng

• ROBIO 2021 Motion Planning for Hexapod Robots in Dynamic Rough Terrain Environments
  Bingyi Xia, Kaiwei Che, Zhilong Tang, Jiankun Wang, Max Q-H Meng

Academic Service

I have experience in reviewing for high-impact AI conferences and journals, including:

Conferences: NeurIPS, ICML, ICLR, CVPR, AAAI

Journals: TIP, TNNLS, Pattern Recognition

Contact

• E-mail: chekaiwei@stu.pku.edu.cn
• Google Scholar: Kaiwei Che