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2020 – today
- 2024
[j5]Yingwen Wu
, Tao Li, Xinwen Cheng, Jie Yang, Xiaolin Huang:
Low-Dimensional Gradient Helps Out-of-Distribution Detection. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 11378-11391 (2024)- [c7]Tao Li, Pan Zhou, Zhengbao He, Xinwen Cheng, Xiaolin Huang:
Friendly Sharpness-Aware Minimization. CVPR 2024: 5631-5640 - [i8]Xinwen Cheng, Zhehao Huang, Xiaolin Huang:
Machine Unlearning by Suppressing Sample Contribution. CoRR abs/2402.15109 (2024) - [i7]Tao Li, Pan Zhou, Zhengbao He, Xinwen Cheng, Xiaolin Huang:
Friendly Sharpness-Aware Minimization. CoRR abs/2403.12350 (2024) - [i6]Zhengbao He, Tao Li, Xinwen Cheng, Zhehao Huang, Xiaolin Huang:
Towards Natural Machine Unlearning. CoRR abs/2405.15495 (2024) - [i5]Yingwen Wu, Ruiji Yu, Xinwen Cheng, Zhengbao He, Xiaolin Huang:
Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection. CoRR abs/2405.17816 (2024) - [i4]Zhehao Huang, Xinwen Cheng, JingHao Zheng, Haoran Wang, Zhengbao He, Tao Li, Xiaolin Huang:
Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement. CoRR abs/2409.19732 (2024) - 2023
- [c6]Sizhe Chen, Geng Yuan, Xinwen Cheng, Yifan Gong, Minghai Qin, Yanzhi Wang, Xiaolin Huang:
Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors. ICLR 2023 - [c5]Zhixing Ye, Xinwen Cheng, Xiaolin Huang:
FG-UAP: Feature-Gathering Universal Adversarial Perturbation. IJCNN 2023: 1-8 - [i3]Yingwen Wu, Tao Li, Xinwen Cheng, Jie Yang, Xiaolin Huang:
Low-Dimensional Gradient Helps Out-of-Distribution Detection. CoRR abs/2310.17163 (2023) - 2022
- [i2]Zhixing Ye, Xinwen Cheng, Xiaolin Huang:
FG-UAP: Feature-Gathering Universal Adversarial Perturbation. CoRR abs/2209.13113 (2022) - [i1]Sizhe Chen, Geng Yuan, Xinwen Cheng, Yifan Gong, Minghai Qin, Yanzhi Wang, Xiaolin Huang:
Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors. CoRR abs/2211.12005 (2022) - 2021
- [c4]Yuxin Du, Xiaoli He, Weijian Yang, Xinwen Cheng, Yongming Huang:
Research on Physical Layer Security Strategy in the Scenario of Multiple Eavesdroppers in Cognitive Wireless Networks Based on NOMA. ICAIS (2) 2021: 575-587 - 2020
- [c3]Tianjing Feng, Hairong Ma, Xinwen Cheng:
Greenhouse Extraction from High-Resolution Remote Sensing Imagery with Improved Random Forest. IGARSS 2020: 553-556
2010 – 2019
- 2018
- [j4]Dong Zhao, Xinwen Cheng, Hongping Zhang, Yanfei Niu, Yangyang Qi, Haitao Zhang:
Evaluation of the Ability of Spectral Indices of Hydrocarbons and Seawater for Identifying Oil Slicks Utilizing Hyperspectral Images. Remote. Sens. 10(3): 421 (2018) - [c2]Hongping Zhang, Xinwen Cheng, Dong Zhao, Hairong Ma:
Analyzing the Contribution of High Resolution Water Range in Dividing Catchment Based on D8 Algorithm. IGARSS 2018: 745-748 - 2017
- [j3]Xianju Li, Weitao Chen, Xinwen Cheng, Yiwei Liao, Gang Chen:
Comparison and integration of feature reduction methods for land cover classification with RapidEye imagery. Multim. Tools Appl. 76(21): 23041-23057 (2017) - 2016
- [j2]Xianju Li, Weitao Chen, Xinwen Cheng, Lizhe Wang:
A Comparison of Machine Learning Algorithms for Mapping of Complex Surface-Mined and Agricultural Landscapes Using ZiYuan-3 Stereo Satellite Imagery. Remote. Sens. 8(6): 514 (2016) - 2015
- [j1]Xianju Li, Xinwen Cheng, Weitao Chen, Gang Chen, Shengwei Liu:
Identification of Forested Landslides Using LiDar Data, Object-based Image Analysis, and Machine Learning Algorithms. Remote. Sens. 7(8): 9705-9726 (2015) - [c1]Wenxi Huang, Xinwen Cheng:
Fuzzy evaluation of Arable Land Suitability based on three scale AHP method. Geoinformatics 2015: 1-4
Coauthor Index
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