Kaiwei Che

According to our database, Kaiwei Che authored at least 19 papers between 2021 and 2026.

Collaborative distances:

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

2026

Winner-Take-All Spiking Transformer for Language Modeling.

Chenlin Zhou, Sihang Guo, Jiaqi Wang, Dongyang Ma, Kaiwei Che, Baiyu Chen, Qingyan Meng, Zhengyu Ma, Yonghong Tian

CoRR, April, 2026

Spatially-enhanced Spiking neural network for efficient point cloud analysis.

Yijie Lu, Zhiyi Pan, Renrui Zhang, Yanhao Jia, Kaiwei Che, Zhaokun Zhou

Neural Networks, 2026

Parallel Training Time-to-First-Spike Spiking Neural Networks.

Kaiwei Che, Wei Fang, Peng Xue, Yifan Huang, Zhengyu Ma, Yonghong Tian

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Spatial-Temporal Spiking Feature Pruning in Spiking Transformer.

Zhaokun Zhou, Kaiwei Che, Jun Niu, Man Yao, Guoqi Li, Li Yuan, Guibo Luo, Yuesheng Zhu

IEEE Trans. Cogn. Dev. Syst., June, 2025

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 Trans. Neural Networks Learn. Syst., May, 2025

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 Trans. Cogn. Dev. Syst., December, 2024

ETTFS: An Efficient Training Framework for Time-to-First-Spike Neuron.

Kaiwei Che, Wei Fang, Zhengyu Ma, Li Yuan, Timothée Masquelier, Yonghong Tian

CoRR, 2024

Spatial-Temporal Search for Spiking Neural Networks.

Kaiwei Che, Zhaokun Zhou, Li Yuan, Jianguo Zhang, Yonghong Tian, Luziwei Leng

CoRR, 2024

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

CoRR, 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, Li Yuan

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

A Multi-modal Spiking Meta-learner with Brain-Inspired Task-Aware Modulation Scheme.

Jun Niu, Zhaokun Zhou, Kaiwei Che, Li Yuan

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

2023

Neural Network-Based Histologic Remission Prediction In Ulcerative Colitis.

Yemin Li, Zhongcheng Liu, Xiaoying Lou, Mirigual Kurban, Miao Li, Jie Yang, Kaiwei Che, Jiankun Wang, Max Q.-H. Meng, Yan Huang, Qin Guo, Pinjin Hu

CoRR, 2023

Automotive Object Detection via Learning Sparse Events by Temporal Dynamics of Spiking Neurons.

Hu Zhang, Luziwei Leng, Kaiwei Che, Qian Liu, Jie Cheng, Qinghai Guo, Jiangxing Liao, Ran Cheng

CoRR, 2023

Auto-Spikformer: Spikformer Architecture Search.

Kaiwei Che, Zhaokun Zhou, Zhengyu Ma, Wei Fang, Yanqi Chen, Shuaijie Shen, Li Yuan, Yonghong Tian

CoRR, 2023

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, Jiangxing Liao, Ran Cheng

CoRR, 2023

2022

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Discrete time convolution for fast event-based stereo.

Kaixuan Zhang, Kaiwei Che, Jianguo Zhang, Jie Cheng, Ziyang Zhang, Qinghai Guo, Luziwei Leng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Deep Learning-based Biological Anatomical Landmark Detection in Colonoscopy Videos.

Kaiwei Che, Chengwei Ye, Yibing Yao, Nachuan Ma, Ruo Zhang, Jiankun Wang, Max Q.-H. Meng

CoRR, 2021

Motion Planning for Hexapod Robots in Dynamic Rough Terrain Environments.

Bingyi Xia, Kaiwei Che, Zhilong Tang, Jiankun Wang, Max Q.-H. Meng

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2021