Yingwen Wu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 22

Top Topics

Ensemble Pruning

Top Venues

Trans. Mach. Learn. Res.

Pattern Recognit.

Int. J. Fuzzy Syst.

Publications

Tao Li, Qinghua Tao, Weihao Yan, Zehao Lei, Yingwen Wu, Kun Fang, Mingzhen He, Xiaolin Huang
Revisiting Random Weight Perturbation for Efficiently Improving Generalization. CoRR (2024)
Zhehao Huang, Tao Li, Chenhe Yuan, Yingwen Wu, Xiaolin Huang
Online Continual Learning via Logit Adjusted Softmax. Trans. Mach. Learn. Res. 2024 (2024)
Yingwen Wu, Ruiji Yu, Xinwen Cheng, Zhengbao He, Xiaolin Huang
Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection. CoRR (2024)
Zehao Lei, Yingwen Wu, Tao Li
Better Generalization in Fast Training: Flat Trainable Weight in Subspace. ICMLC (2024)
Tao Li, Qinghua Tao, Weihao Yan, Yingwen Wu, Zehao Lei, Kun Fang, Mingzhen He, Xiaolin Huang
Revisiting Random Weight Perturbation for Efficiently Improving Generalization. Trans. Mach. Learn. Res. 2024 (2024)
Kun Fang, Qinghua Tao, Yingwen Wu, Tao Li, Jia Cai, Feipeng Cai, Xiaolin Huang, Jie Yang
Towards robust neural networks via orthogonal diversity. Pattern Recognit. 149 (2024)
Yingwen Wu, Yangjian Ji, Fu Gu
Identifying firm-specific technology opportunities in a supply chain: Link prediction analysis in multilayer networks. Expert Syst. Appl. 213 (Part) (2023)
Zhehao Huang, Tao Li, Chenhe Yuan, Yingwen Wu, Xiaolin Huang
Online Continual Learning via Logit Adjusted Softmax. CoRR (2023)
Yingwen Wu, Sizhe Chen, Kun Fang, Xiaolin Huang
Unifying Gradients to Improve Real-World Robustness for Deep Networks. ACM Trans. Intell. Syst. Technol. 14 (6) (2023)
Yingwen Wu, Yangjian Ji
Identifying firm-specific technology opportunities from the perspective of competitors by using association rule mining. J. Informetrics 17 (2) (2023)
Yingwen Wu, Tao Li, Xinwen Cheng, Jie Yang, Xiaolin Huang
Low-Dimensional Gradient Helps Out-of-Distribution Detection. CoRR (2023)
Tao Li, Zhehao Huang, Qinghua Tao, Yingwen Wu, Xiaolin Huang
Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions. ICLR (2023)
Tao Li, Weihao Yan, Zehao Lei, Yingwen Wu, Kun Fang, Ming Yang, Xiaolin Huang
Efficient Generalization Improvement Guided by Random Weight Perturbation. CoRR (2022)
Tao Li, Zhehao Huang, Qinghua Tao, Yingwen Wu, Xiaolin Huang
Trainable Weight Averaging for Fast Convergence and Better Generalization. CoRR (2022)
Sizhe Chen, Zhehao Huang, Qinghua Tao, Yingwen Wu, Cihang Xie, Xiaolin Huang
Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks. NeurIPS (2022)
Sizhe Chen, Zhehao Huang, Qinghua Tao, Yingwen Wu, Cihang Xie, Xiaolin Huang
Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks. CoRR (2022)
Tao Li, Yingwen Wu, Sizhe Chen, Kun Fang, Xiaolin Huang
Subspace Adversarial Training. CVPR (2022)
Kun Fang, Qinghua Tao, Yingwen Wu, Tao Li, Xiaolin Huang, Jie Yang
On Multi-head Ensemble of Smoothed Classifiers for Certified Robustness. CoRR (2022)
Yingwen Wu, Sizhe Chen, Kun Fang, Xiaolin Huang
Unifying Gradients to Improve Real-world Robustness for Deep Networks. CoRR (2022)
Tao Li, Yingwen Wu, Sizhe Chen, Kun Fang, Xiaolin Huang
Subspace Adversarial Training. CoRR (2021)
Kun Fang, Yingwen Wu, Tao Li, Xiaolin Huang, Jie Yang
Learn Robust Features via Orthogonal Multi-Path. CoRR (2020)
Li Guo, Long Chen, Yingwen Wu, C. L. Philip Chen
Image Guided Fuzzy C-Means for Image Segmentation. Int. J. Fuzzy Syst. 19 (6) (2017)