Weihang Peng

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 21

Top Topics

Satellite Imagery

Biologically Inspired

Spiking Neural Networks

Top Venues

IEEE Signal Process. Lett.

Publications

Yufei Guo, Weihang Peng, Yuanpei Chen, Jie Zhou, Zhe Ma
Improved Event-Based Image De-Occlusion. IEEE Signal Process. Lett. 31 (2024)
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)
Ying Fu, Yu Li, Shaodi You, Boxin Shi, Jose Alvarez, Coert Van Gemeren, Linwei Chen, Yunhao Zou, Zichun Wang, Yichen Li, Yuze Han, Yingkai Zhang, Jianan Wang, Qinglin Liu, Wei Yu, Xiaoqian Lv, Jianing Li, Shengping Zhang, Xiangyang Ji, Yuanpei Chen, Yuhan Zhang, Weihang Peng, Liwen Zhang, Zhe Xu, Dingyong Gou, Cong Li, Senyan Xu, Yunkang Zhang, Siyuan Jiang, Xiaoqiang Lu, Licheng Jiao, Fang Liu, Xu Liu, Lingling Li, Wenping Ma, Shuyuan Yang, Haiyang Xie, Jian Zhao, Shihuang Huang, Peng Cheng, Xi Shen, Zheng Wang, Shuai An, Caizhi Zhu, Xuelong Li, Tao Zhang, Liang Li, Yu Liu, Chenggang Yan, Gengchen Zhang, Linyan Jiang, Bingyi Song, Zhuoyu An, Haibo Lei, Qing Luo, Jie Song, Yuan Liu, Qihang Li, Haoyuan Zhang, Lingfeng Wang, Wei Chen, Aling Luo, Cheng Li, Jun Cao, Shu Chen, Zifei Dou, Xinyu Liu, Jing Zhang, Kexin Zhang, Yuting Yang, Xuejian Gou, Qinliang Wang, Yang Liu, Shizhan Zhao, Yanzhao Zhang, Libo Yan, Yuwei Guo, Guoxin Li, Qiong Gao, Chenyue Che, Long Sun, Xiang Chen, Hao Li, Jinshan Pan, Chuanlong Xie, Hongming Chen, Mingrui Li, Tianchen Deng, Jingwei Huang, Yufeng Li, Fei Wan, Bingxin Xu, Jian Cheng, Hongzhe Liu, Cheng Xu, Yuxiang Zou, Weiguo Pan, Songyin Dai, Sen Jia, Junpei Zhang
Technique Report of CVPR 2024 PBDL Challenges. CoRR (2024)
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)
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 (2023)
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)
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. Pattern Recognit. 142 (2023)
Peiying Huang, Li Yan, Zhishang Li, Shuai Zhao, Yuchao Feng, Jing Zeng, Li Chen, Afang Huang, Yan Chen, Sisi Lei, Xiaoyan Huang, Yi Deng, Dan Xie, Hansu Guan, Weihang Peng, Liyuan Yu, Bojun Chen
Potential shared gene signatures and molecular mechanisms between atherosclerosis and depression: Evidence from transcriptome data. Comput. Biol. Medicine 152 (2023)
Dayong Ren, Zhe Ma, Yuanpei Chen, Weihang Peng, Xiaode Liu, Yuhan Zhang, Yufei Guo
Spiking PointNet: Spiking Neural Networks for Point Clouds. CoRR (2023)
Yufei Guo, Yuanpei Chen, Xiaode Liu, Weihang Peng, Yuhan Zhang, Xuhui Huang, Zhe Ma
Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks. CoRR (2023)
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 (2023)
Dayong Ren, Zhe Ma, Yuanpei Chen, Weihang Peng, Xiaode Liu, Yuhan Zhang, Yufei Guo
Spiking PointNet: Spiking Neural Networks for Point Clouds. NeurIPS (2023)
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 (2023)
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)
Omid Ghorbanzadeh, Yonghao Xu, Hengwei Zhao, Junjue Wang, Yanfei Zhong, Dong Zhao, Qi Zang, Shuang Wang, Fahong Zhang, Yilei Shi, Xiao Xiang Zhu, Lin Bai, Weile Li, Weihang Peng, Pedram Ghamisi
The Outcome of the 2022 Landslide4Sense Competition: Advanced Landslide Detection From Multisource Satellite Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15 (2022)
Liang Yang, Weihang Peng, Wenmiao Zhou, Bingxin Niu, Junhua Gu, Chuan Wang, Yuanfang Guo, Dongxiao He, Xiaochun Cao
Difference Residual Graph Neural Networks. ACM Multimedia (2022)
Liang Yang, Wenmiao Zhou, Weihang Peng, Bingxin Niu, Junhua Gu, Chuan Wang, Xiaochun Cao, Dongxiao He
Graph Neural Networks Beyond Compromise Between Attribute and Topology. WWW (2022)
Omid Ghorbanzadeh, Yonghao Xu, Hengwei Zhao, Junjue Wang, Yanfei Zhong, Dong Zhao, Qi Zang, Shuang Wang, Fahong Zhang, Yilei Shi, Xiao Xiang Zhu, Lin Bai, Weile Li, Weihang Peng, Pedram Ghamisi
The Outcome of the 2022 Landslide4Sense Competition: Advanced Landslide Detection from Multi-Source Satellite Imagery. CoRR (2022)
Lin Bai, Weile Li, Qiang Xu, Weihang Peng, Kai Chen, Zhenzhen Duan, Huiyan Lu
Multispectral U-Net: A Semantic Segmentation Model Using Multispectral Bands Fusion Mechanism for Landslide Detection. CDCEO@IJCAI (2022)
Ruicheng Sun, Shuo Han, Weihang Peng, Hanxiang Zhuang, Xin Zeng, Xingang Liu
Extracting Discriminative Features for Cross-View Gait Recognition Based on the Attention Mechanism. CSE (2021)
Yueqin Zhu, Lin Bai, Weihang Peng, Xinyang Zhang, Xiong Luo
Depthwise Separable Convolution Feature Learning for Ihomogeneous Rock Image Classification. ICCSIP (1) (2018)