Yingwen Wu

31 papers A* 4Misc 1Journal 24Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Compensation-free Machine Unlearning in Text-to-Image Diffusion Models by Eliminating the Mutual Information.
CoRR
Xinwen Cheng, Jingyuan Zhang, Zhehao Huang, Yingwen Wu, Xiaolin Huang
2026 J jnl
Compute Only Once: UG-Separation for Efficient Large Recommendation Models.
CoRR
Hui Lu, Zheng Chai, Shipeng Bai, Hao Zhang, Zhifang Fan, Kunmin Bai, Yingwen Wu, Bingzheng Wei, Xiang Sun, Ziyan Gong, Tianyi Liu, Hua Chen, Deping Xie, Zhongkai Chen, Zhiliang Guo, Qiwei Chen, Yuchao Zheng
2025 J jnl
Measurement, Regional Disparities, and Spatial Convergence in the Symbiotic Level of China's Digital Innovation Ecosystem.
Syst.
Shengnan Li, Zhouzhou Lin, Yingwen Wu, Yue Hu
2025 J jnl
Multi-head ensemble of smoothed classifiers for certified robustness.
Neural Networks
Kun Fang, Qinghua Tao, Yingwen Wu, Tao Li, Xiaolin Huang, Jie Yang
2025 — conf
ProgKGC: Progressive Structure-Enhanced Semantic Framework for Knowledge Graph Completion.
ISWC (1)
Zhuang Li, Yingwen Wu, Yachao Yuan, Jin Wang
2025 A* conf
Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection.
ICLR
Yingwen Wu, Ruiji Yu, Xinwen Cheng, Zhengbao He, Xiaolin Huang
2025 — conf
Stimulating Catastrophic Forgetting in Class-Wise Unlearning via UAP.
ECML/PKDD (5)
Wenxing Zhou, Xinwen Cheng, Yingwen Wu, Ruikai Yang, Xiaolin Huang
2024 Misc conf
Better Generalization in Fast Training: Flat Trainable Weight in Subspace.
ICMLC
Zehao Lei, Yingwen Wu, Tao Li
2024 J jnl
Low-Dimensional Gradient Helps Out-of-Distribution Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Yingwen Wu, Tao Li, Xinwen Cheng, Jie Yang, Xiaolin Huang
2024 J jnl
Online Continual Learning via Logit Adjusted Softmax.
Trans. Mach. Learn. Res.
Zhehao Huang, Tao Li, Chenhe Yuan, Yingwen Wu, Xiaolin Huang
2024 J jnl
Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection.
CoRR
Yingwen Wu, Ruiji Yu, Xinwen Cheng, Zhengbao He, Xiaolin Huang
2024 J jnl
Revisiting Random Weight Perturbation for Efficiently Improving Generalization.
CoRR
Tao Li, Qinghua Tao, Weihao Yan, Zehao Lei, Yingwen Wu, Kun Fang, Mingzhen He, Xiaolin Huang
2024 J jnl
Revisiting Random Weight Perturbation for Efficiently Improving Generalization.
Trans. Mach. Learn. Res.
Tao Li, Qinghua Tao, Weihao Yan, Yingwen Wu, Zehao Lei, Kun Fang, Mingzhen He, Xiaolin Huang
2024 J jnl
Toward Transferable Adversarial Attacks Against Autoencoder-Based Network Intrusion Detectors.
IEEE Trans. Ind. Informatics
Yihang Zhang, Yingwen Wu, Xiaolin Huang
2024 J jnl
Towards robust neural networks via orthogonal diversity.
Pattern Recognit.
Kun Fang, Qinghua Tao, Yingwen Wu, Tao Li, Jia Cai, Feipeng Cai, Xiaolin Huang, Jie Yang
2023 J jnl
Identifying firm-specific technology opportunities from the perspective of competitors by using association rule mining.
J. Informetrics
Yingwen Wu, Yangjian Ji
2023 J jnl
Identifying firm-specific technology opportunities in a supply chain: Link prediction analysis in multilayer networks.
Expert Syst. Appl.
Yingwen Wu, Yangjian Ji, Fu Gu
2023 J jnl
Low-Dimensional Gradient Helps Out-of-Distribution Detection.
CoRR
Yingwen Wu, Tao Li, Xinwen Cheng, Jie Yang, Xiaolin Huang
2023 J jnl
Online Continual Learning via Logit Adjusted Softmax.
CoRR
Zhehao Huang, Tao Li, Chenhe Yuan, Yingwen Wu, Xiaolin Huang
2023 A* conf
Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions.
ICLR
Tao Li, Zhehao Huang, Qinghua Tao, Yingwen Wu, Xiaolin Huang
2023 J jnl
Unifying Gradients to Improve Real-World Robustness for Deep Networks.
ACM Trans. Intell. Syst. Technol.
Yingwen Wu, Sizhe Chen, Kun Fang, Xiaolin Huang
2022 A* conf
Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks.
NeurIPS
Sizhe Chen, Zhehao Huang, Qinghua Tao, Yingwen Wu, Cihang Xie, Xiaolin Huang
2022 J jnl
Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks.
CoRR
Sizhe Chen, Zhehao Huang, Qinghua Tao, Yingwen Wu, Cihang Xie, Xiaolin Huang
2022 J jnl
Efficient Generalization Improvement Guided by Random Weight Perturbation.
CoRR
Tao Li, Weihao Yan, Zehao Lei, Yingwen Wu, Kun Fang, Ming Yang, Xiaolin Huang
2022 J jnl
On Multi-head Ensemble of Smoothed Classifiers for Certified Robustness.
CoRR
Kun Fang, Qinghua Tao, Yingwen Wu, Tao Li, Xiaolin Huang, Jie Yang
2022 A* conf
Subspace Adversarial Training.
CVPR
Tao Li, Yingwen Wu, Sizhe Chen, Kun Fang, Xiaolin Huang
2022 J jnl
Trainable Weight Averaging for Fast Convergence and Better Generalization.
CoRR
Tao Li, Zhehao Huang, Qinghua Tao, Yingwen Wu, Xiaolin Huang
2022 J jnl
Unifying Gradients to Improve Real-world Robustness for Deep Networks.
CoRR
Yingwen Wu, Sizhe Chen, Kun Fang, Xiaolin Huang
2021 J jnl
Subspace Adversarial Training.
CoRR
Tao Li, Yingwen Wu, Sizhe Chen, Kun Fang, Xiaolin Huang
2020 J jnl
Learn Robust Features via Orthogonal Multi-Path.
CoRR
Kun Fang, Yingwen Wu, Tao Li, Xiaolin Huang, Jie Yang
2017 J jnl
Image Guided Fuzzy C-Means for Image Segmentation.
Int. J. Fuzzy Syst.
Li Guo, Long Chen, Yingwen Wu, C. L. Philip Chen