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Yufei Guo
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2020 – today
- 2024
- [j9]Yufei Guo
, Yuanpei Chen
NeuroCLIP: Neuromorphic Data Understanding by CLIP and SNN. IEEE Signal Process. Lett. 31: 246-250 (2024) - [j8]Yangguang Wang, Chenxu Jiang, Xu Jia, Yufei Guo, Lei Yu:
Event-Based Shutter Unrolling and Motion Deblurring in Dynamic Scenes. IEEE Signal Process. Lett. 31: 1069-1073 (2024) - [j7]Yufei Guo
Improved Event-Based Image De-Occlusion. IEEE Signal Process. Lett. 31: 1930-1934 (2024) - [j6]Xianchao Xiu
A New End-to-End Monitoring Framework for Nonlinear Dynamic Processes With Unknown Noise Statistics. IEEE Trans. Instrum. Meas. 73: 1-10 (2024) - [c23]Xin Tong, Shi Peng, Yufei Guo, Xuhui Huang:
End-to-End Real-Time Vanishing Point Detection with Transformer. AAAI 2024: 5243-5251 - [c22]Yufei Guo, Yuanpei Chen, Xiaode Liu, Weihang Peng, Yuhan Zhang, Xuhui Huang, Zhe Ma:
Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks. AAAI 2024: 12244-12252 - [c21]Yuhan Zhang, Xiaode Liu, Yuanpei Chen, Weihang Peng, Yufei Guo, Xuhui Huang, Zhe Ma:
Enhancing Representation of Spiking Neural Networks via Similarity-Sensitive Contrastive Learning. AAAI 2024: 16926-16934 - [c20]Xuming Hu, Junzhe Chen, Xiaochuan Li, Yufei Guo, Lijie Wen, Philip S. Yu, Zhijiang Guo:
Towards Understanding Factual Knowledge of Large Language Models. ICLR 2024 - [i13]Yufei Guo, Yuanpei Chen:
Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks. CoRR abs/2401.04486 (2024) - [i12]Zeyu Wang, Zecheng Hao, Jingyu Lin, Yuchao Feng, Yufei Guo:
UP-Diff: Latent Diffusion Model for Remote Sensing Urban Prediction. CoRR abs/2407.11578 (2024) - [i11]Zeyu Wang, Jingyu Lin, Yifei Qian, Yi Huang, Shicen Tian, Bosong Chai, Juncan Deng, Lan Du, Cunjian Chen, Yufei Guo, Kejie Huang:
DiffX: Guide Your Layout to Cross-Modal Generative Modeling. CoRR abs/2407.15488 (2024) - 2023
- [j5]Yufei Guo, Weihang Peng
Joint A-SNN: Joint training of artificial and spiking neural networks via self-Distillation and weight factorization. Pattern Recognit. 142: 109639 (2023) - [c19]Yufei Guo, Xinjie An, Shijie Li, Yingbo Cui, Peng Zhang, Biao Long, Shanshan Li:
MTMap: A Long-Read Alignment Tool based on Multi-Core DSPs. BIBM 2023: 863-866 - [c18]Qi Ming, Lingjuan Miao, Zhe Ma, Lin Zhao, Zhiqiang Zhou, Xuhui Huang, Yuanpei Chen, Yufei Guo:
Deep Dive into Gradients: Better Optimization for 3D Object Detection with Gradient-Corrected IoU Supervision. CVPR 2023: 5136-5145 - [c17]Liwen Zhang, Xinyan Zhang, Youcheng Zhang, Yufei Guo, Yuanpei Chen, Xuhui Huang, Zhe Ma:
PeakConv: Learning Peak Receptive Field for Radar Semantic Segmentation. CVPR 2023: 17577-17586 - [c16]Yufei Guo, Xiaode Liu, Yuanpei Chen, Liwen Zhang, Weihang Peng, Yuhan Zhang, Xuhui Huang, Zhe Ma:
RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks. ICCV 2023: 17345-17355 - [c15]Yufei Guo, Yuhan Zhang, Yuanpei Chen, Weihang Peng, Xiaode Liu, Liwen Zhang, Xuhui Huang, Zhe Ma:
Membrane Potential Batch Normalization for Spiking Neural Networks. ICCV 2023: 19363-19373 - [c14]Dayong Ren, Zhe Ma, Yuanpei Chen, Weihang Peng, Xiaode Liu, Yuhan Zhang, Yufei Guo:
Spiking PointNet: Spiking Neural Networks for Point Clouds. NeurIPS 2023 - [i10]Yufei Guo, Weihang Peng, Yuanpei Chen, Liwen Zhang, Xiaode Liu, Xuhui Huang, Zhe Ma:
Joint A-SNN: Joint Training of Artificial and Spiking Neural Networks via Self-Distillation and Weight Factorization. CoRR abs/2305.02099 (2023) - [i9]Yufei Guo, Xuhui Huang, Zhe Ma:
Direct Learning-Based Deep Spiking Neural Networks: A Review. CoRR abs/2305.19725 (2023) - [i8]Yufei Guo, Yuanpei Chen:
NeuroCLIP: Neuromorphic Data Understanding by CLIP and SNN. CoRR abs/2306.12073 (2023) - [i7]Yufei Guo, Yuanpei Chen, Liwen Zhang, Xiaode Liu, Xinyi Tong, Yuanyuan Ou, Xuhui Huang, Zhe Ma:
Reducing Information Loss for Spiking Neural Networks. CoRR abs/2307.04356 (2023) - [i6]Yufei Guo, Xiaode Liu, Yuanpei Chen, Liwen Zhang, Weihang Peng, Yuhan Zhang, Xuhui Huang, Zhe Ma:
RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks. CoRR abs/2308.06787 (2023) - [i5]Yufei Guo, Yuhan Zhang, Yuanpei Chen, Weihang Peng, Xiaode Liu, Liwen Zhang, Xuhui Huang, Zhe Ma:
Membrane Potential Batch Normalization for Spiking Neural Networks. CoRR abs/2308.08359 (2023) - [i4]Xuming Hu, Junzhe Chen, Xiaochuan Li, Yufei Guo, Lijie Wen
Do Large Language Models Know about Facts? CoRR abs/2310.05177 (2023) - [i3]Dayong Ren, Zhe Ma, Yuanpei Chen, Weihang Peng, Xiaode Liu, Yuhan Zhang, Yufei Guo:
Spiking PointNet: Spiking Neural Networks for Point Clouds. CoRR abs/2310.06232 (2023) - [i2]Yufei Guo, Yuanpei Chen, Xiaode Liu, Weihang Peng, Yuhan Zhang, Xuhui Huang, Zhe Ma:
Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks. CoRR abs/2312.06372 (2023) - 2022
- [c13]Hong Chen, Yuxuan Wen, Yifu Ding, Zhen Yang, Yufei Guo, Haotong Qin
An Empirical study of Data-Free Quantization's Tuning Robustness. CVPR Workshops 2022: 171-177 - [c12]Yufei Guo, Xinyi Tong
RecDis-SNN: Rectifying Membrane Potential Distribution for Directly Training Spiking Neural Networks. CVPR 2022: 326-335 - [c11]Yufei Guo, Yuanpei Chen
Reducing Information Loss for Spiking Neural Networks. ECCV (11) 2022: 36-52 - [c10]Yufei Guo, Liwen Zhang
Real Spike: Learning Real-Valued Spikes for Spiking Neural Networks. ECCV (12) 2022: 52-68 - [c9]Yufei Guo, Yuanpei Chen, Liwen Zhang, Xiaode Liu, YingLei Wang, Xuhui Huang, Zhe Ma:
IM-Loss: Information Maximization Loss for Spiking Neural Networks. NeurIPS 2022 - [i1]Yufei Guo, Liwen Zhang, Yuanpei Chen, Xinyi Tong, Xiaode Liu, YingLei Wang, Xuhui Huang, Zhe Ma:
Real Spike: Learning Real-valued Spikes for Spiking Neural Networks. CoRR abs/2210.06686 (2022) - 2021
- [j4]Changchun Bao, Yufei Guo
Design of a Fixed-Wing UAV Controller Based on Adaptive Backstepping Sliding Mode Control Method. IEEE Access 9: 157825-157841 (2021) - [c8]Yufei Guo, Xuhui Huang, Zhe Ma, Yongqing Hai, Rongli Zhao, Kewu Sun:
An Improved Advancing-front-Delaunay Method for Triangular Mesh Generation. CGI 2021: 477-487 - [c7]Yuhang Li, Yufei Guo, Shanghang Zhang, Shikuang Deng, Yongqing Hai, Shi Gu:
Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks. NeurIPS 2021: 23426-23439
2010 – 2019
- 2019
- [j3]Zhenyu Zhou
Blockchain and Computational Intelligence Inspired Incentive-Compatible Demand Response in Internet of Electric Vehicles. IEEE Trans. Emerg. Top. Comput. Intell. 3(3): 205-216 (2019) - [j2]Zhenyu Zhou
Access Control and Resource Allocation for M2M Communications in Industrial Automation. IEEE Trans. Ind. Informatics 15(5): 3093-3103 (2019) - [c6]Yufei Guo, Zhenyu Zhou, Yanhua He:
Access Control and Resource Allocation for M2M Communications in Smart Grid. ICC 2019: 1-6 - [c5]Wenya Wan, Chong Sun, Jianping Yuan, Xianghao Hou, Yufei Guo, Yinong Ou-yang, Qixin Li, Liran Zhao
Adaptive Whole-Arm Grasping Approach of Tumbling Space Debris by Two Coordinated Hyper-redundant Manipulators. ICIRA (1) 2019: 450-461 - 2017
- [c4]Danhua Liu, Yufei Guo, Dahua Gao
Color demosaicking with the spatial alignment property of spectral Laplacians. ICAIT 2017: 378-382 - 2016
- [c3]Xuewen Geng, Yufei Guo, Lin Liu, Yi Niu, Guangming Shi:
The 3-POCs Structure Based GPU Acceleration in Computational Spectral Imaging. ISPDC 2016: 88-91
2000 – 2009
- 2007
- [c2]Huanzhao Wang, Dongwei Luo, Yufei Guo, Qingping Zhao:
TLKMS: A Dynamic Keys Management Scheme for Large-Scale Wireless Sensor Networks. ICCSA (2) 2007: 559-572 - 2001
- [j1]Yufei Guo, Maria Cristina Pinotti, Sajal K. Das:
A new hybrid broadcast scheduling algorithm for asymmetric communication systems. ACM SIGMOBILE Mob. Comput. Commun. Rev. 5(3): 39-54 (2001) - [c1]Yufei Guo, Sajal K. Das, Maria Cristina Pinotti:
A new hybrid broadcast scheduling algorithm for asymmetric communication systems: push and pull data based on optimal cut-off point. MSWiM 2001: 123-130
Coauthor Index
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