Guo, Yufei

23 publications

AAAI 2025 Improving Transformer Based Line Segment Detection with Matched Predicting and Re-Ranking Xin Tong, Shi Peng, Baojie Tian, Yufei Guo, Xuhui Huang, Zhe Ma

NeurIPS 2025 RANK++LETR: Learn to Rank and Optimize Candidates for Line Segment Detection Xin Tong, Baojie Tian, Yufei Guo, Zhe Ma

ICML 2025 ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks Yufei Guo, Yuhan Zhang, Zhou Jie, Xiaode Liu, Xin Tong, Yuanpei Chen, Weihang Peng, Zhe Ma

NeurIPS 2025 Spik-NeRF: Spiking Neural Networks for Neural Radiance Fields Gang Wan, Qinlong Lan, LiZihan, Huimin Wang, Wu Yitian, Wang Zhen, Wanhua Li, Yufei Guo

CVPR 2025 Spiking Transformer: Introducing Accurate Addition-Only Spiking Self-Attention for Transformer Yufei Guo, Xiaode Liu, Yuanpei Chen, Weihang Peng, Yuhan Zhang, Zhe Ma

ICCV 2025 Synergistic Prompting for Robust Visual Recognition with Missing Modalities Zhihui Zhang, Luanyuan Dai, Qika Lin, Yunfeng Diao, Guangyin Jin, Yufei Guo, Jing Zhang, Xiaoshuai Hao

NeurIPS 2024 EnOF-SNN: Training Accurate Spiking Neural Networks via Enhancing the Output Feature Yufei Guo, Weihang Peng, Xiaode Liu, Yuanpei Chen, Yuhan Zhang, Xin Tong, Zhou Jie, Zhe Ma

AAAI 2024 End-to-End Real-Time Vanishing Point Detection with Transformer Xin Tong, Shi Peng, Yufei Guo, Xuhui Huang

AAAI 2024 Enhancing Representation of Spiking Neural Networks via Similarity-Sensitive Contrastive Learning Yuhan Zhang, Xiaode Liu, Yuanpei Chen, Weihang Peng, Yufei Guo, Xuhui Huang, Zhe Ma

NeurIPS 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

AAAI 2024 Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks Yufei Guo, Yuanpei Chen, Xiaode Liu, Weihang Peng, Yuhan Zhang, Xuhui Huang, Zhe Ma

ICLR 2024 Towards Understanding Factual Knowledge of Large Language Models Xuming Hu, Junzhe Chen, Xiaochuan Li, Yufei Guo, Lijie Wen, Philip S. Yu, Zhijiang Guo

CVPR 2023 Deep Dive into Gradients: Better Optimization for 3D Object Detection with Gradient-Corrected IoU Supervision Qi Ming, Lingjuan Miao, Zhe Ma, Lin Zhao, Zhiqiang Zhou, Xuhui Huang, Yuanpei Chen, Yufei Guo

ICCV 2023 Membrane Potential Batch Normalization for Spiking Neural Networks Yufei Guo, Yuhan Zhang, Yuanpei Chen, Weihang Peng, Xiaode Liu, Liwen Zhang, Xuhui Huang, Zhe Ma

CVPR 2023 PeakConv: Learning Peak Receptive Field for Radar Semantic Segmentation Liwen Zhang, Xinyan Zhang, Youcheng Zhang, Yufei Guo, Yuanpei Chen, Xuhui Huang, Zhe Ma

ICCV 2023 RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks Yufei Guo, Xiaode Liu, Yuanpei Chen, Liwen Zhang, Weihang Peng, Yuhan Zhang, Xuhui Huang, Zhe Ma

NeurIPS 2023 Spiking PointNet: Spiking Neural Networks for Point Clouds Dayong Ren, Zhe Ma, Yuanpei Chen, Weihang Peng, Xiaode Liu, Yuhan Zhang, Yufei Guo

CVPRW 2022 An Empirical Study of Data-Free Quantization's Tuning Robustness Hong Chen, Yuxuan Wen, Yifu Ding, Zhen Yang, Yufei Guo, Haotong Qin

NeurIPS 2022 IM-Loss: Information Maximization Loss for Spiking Neural Networks Yufei Guo, Yuanpei Chen, Liwen Zhang, Xiaode Liu, Yinglei Wang, Xuhui Huang, Zhe Ma

ECCV 2022 Real Spike: Learning Real-Valued Spikes for Spiking Neural Networks Yufei Guo, Liwen Zhang, Yuanpei Chen, Xinyi Tong, Xiaode Liu, YingLei Wang, Xuhui Huang, Zhe Ma

CVPR 2022 RecDis-SNN: Rectifying Membrane Potential Distribution for Directly Training Spiking Neural Networks Yufei Guo, Xinyi Tong, Yuanpei Chen, Liwen Zhang, Xiaode Liu, Zhe Ma, Xuhui Huang

ECCV 2022 Reducing Information Loss for Spiking Neural Networks Yufei Guo, Yuanpei Chen, Liwen Zhang, YingLei Wang, Xiaode Liu, Xinyi Tong, Yuanyuan Ou, Xuhui Huang, Zhe Ma

NeurIPS 2021 Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks Yuhang Li, Yufei Guo, Shanghang Zhang, Shikuang Deng, Yongqing Hai, Shi Gu