Fuzzy evaluation of Arable Land Suitability based on three scale AHP method. - Wenxi Huang; Xinwen Cheng (Geoinformatics, 2015)

Identification of Forested Landslides Using LiDar Data, Object-based Image Analysis, and Machine Learning Algorithms. - Xianju Li; Xinwen Cheng; Weitao Chen; Gang Chen; Shengwei Liu (Remote. Sens., 2015)

A Comparison of Machine Learning Algorithms for Mapping of Complex Surface-Mined and Agricultural Landscapes Using ZiYuan-3 Stereo Satellite Imagery. - Xianju Li; Weitao Chen; Xinwen Cheng; Lizhe Wang 001 (Remote. Sens., 2016)

Comparison and integration of feature reduction methods for land cover classification with RapidEye imagery. - Xianju Li; Weitao Chen; Xinwen Cheng; Yiwei Liao; Gang Chen (Multim. Tools Appl., 2017)

Analyzing the Contribution of High Resolution Water Range in Dividing Catchment Based on D8 Algorithm. - Hongping Zhang; Xinwen Cheng; Dong Zhao; Hairong Ma (IGARSS, 2018)

Evaluation of the Ability of Spectral Indices of Hydrocarbons and Seawater for Identifying Oil Slicks Utilizing Hyperspectral Images. - Dong Zhao; Xinwen Cheng; Hongping Zhang; Yanfei Niu; Yangyang Qi; Haitao Zhang (Remote. Sens., 2018)

Greenhouse Extraction from High-Resolution Remote Sensing Imagery with Improved Random Forest. - Tianjing Feng; Hairong Ma; Xinwen Cheng (IGARSS, 2020)

Research on Physical Layer Security Strategy in the Scenario of Multiple Eavesdroppers in Cognitive Wireless Networks Based on NOMA. - Yuxin Du; Xiaoli He; Weijian Yang; Xinwen Cheng; Yongming Huang (ICAIS (2), 2021)

Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors. - Sizhe Chen; Geng Yuan; Xinwen Cheng; Yifan Gong 004; Minghai Qin; Yanzhi Wang; Xiaolin Huang (ICLR, 2023)

FG-UAP: Feature-Gathering Universal Adversarial Perturbation. - Zhixing Ye; Xinwen Cheng; Xiaolin Huang (IJCNN, 2023)

Friendly Sharpness-Aware Minimization. - Tao Li; Pan Zhou; Zhengbao He; Xinwen Cheng; Xiaolin Huang (CVPR, 2024)

Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement. - Zhehao Huang; Xinwen Cheng; JingHao Zheng; Haoran Wang; Zhengbao He; Tao Li; Xiaolin Huang (NeurIPS, 2024)

Machine Unlearning by Suppressing Sample Contribution. - Xinwen Cheng; Zhehao Huang; Xiaolin Huang (CoRR, 2024)

Friendly Sharpness-Aware Minimization. - Tao Li; Pan Zhou 002; Zhengbao He; Xinwen Cheng; Xiaolin Huang (CoRR, 2024)

Towards Natural Machine Unlearning. - Zhengbao He; Tao Li; Xinwen Cheng; Zhehao Huang; Xiaolin Huang (CoRR, 2024)

Low-Dimensional Gradient Helps Out-of-Distribution Detection. - Yingwen Wu; Tao Li; Xinwen Cheng; Jie Yang 002; Xiaolin Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection. - Yingwen Wu; Ruiji Yu; Xinwen Cheng; Zhengbao He; Xiaolin Huang (ICLR, 2025)

A Unified Gradient-based Framework for Task-agnostic Continual Learning-Unlearning. - Zhehao Huang; Xinwen Cheng; Jie Zhang; JingHao Zheng; Haoran Wang; Zhengbao He; Tao Li; Xiaolin Huang (CoRR, 2025)