Yingwen Wu

According to our database, Yingwen Wu authored at least 25 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A novel three-step approach to forecast firm-specific technology convergence opportunity via multi-dimensional feature fusion.

Fu Gu, Ao Chen, Yingwen Wu

CoRR, April, 2026

Compensation-free Machine Unlearning in Text-to-Image Diffusion Models by Eliminating the Mutual Information.

Xinwen Cheng, Jingyuan Zhang, Zhehao Huang, Yingwen Wu, Xiaolin Huang

CoRR, March, 2026

Compute Only Once: UG-Separation for Efficient Large Recommendation Models.

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

CoRR, February, 2026

Local differential privacy for tensors in distributed computing systems.

Yachao Yuan, Xiao Tang, Yu Huang, Yingwen Wu, Jin Wang

Neurocomputing, 2026

2025

Measurement, Regional Disparities, and Spatial Convergence in the Symbiotic Level of China's Digital Innovation Ecosystem.

Shengnan Li, Zhouzhou Lin, Yingwen Wu, Yue Hu

Syst., 2025

Multi-head ensemble of smoothed classifiers for certified robustness.

Kun Fang, Qinghua Tao, Yingwen Wu, Tao Li, Xiaolin Huang, Jie Yang

Neural Networks, 2025

ProgKGC: Progressive Structure-Enhanced Semantic Framework for Knowledge Graph Completion.

Zhuang Li, Yingwen Wu, Yachao Yuan, Jin Wang

Proceedings of the Semantic Web - ISWC 2025, 2025

Stimulating Catastrophic Forgetting in Class-Wise Unlearning via UAP.

Wenxing Zhou, Xinwen Cheng, Yingwen Wu, Ruikai Yang, Xiaolin Huang

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection.

Yingwen Wu, Ruiji Yu, Xinwen Cheng, Zhengbao He, Xiaolin Huang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Toward Transferable Adversarial Attacks Against Autoencoder-Based Network Intrusion Detectors.

Yihang Zhang, Yingwen Wu, Xiaolin Huang

IEEE Trans. Ind. Informatics, December, 2024

Low-Dimensional Gradient Helps Out-of-Distribution Detection.

Yingwen Wu, Tao Li, Xinwen Cheng, Jie Yang, Xiaolin Huang

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Revisiting Random Weight Perturbation for Efficiently Improving Generalization.

Tao Li, Qinghua Tao, Weihao Yan, Yingwen Wu, Zehao Lei, Kun Fang, Mingzhen He, Xiaolin Huang

Trans. Mach. Learn. Res., 2024

Online Continual Learning via Logit Adjusted Softmax.

Zhehao Huang, Tao Li, Chenhe Yuan, Yingwen Wu, Xiaolin Huang

Trans. Mach. Learn. Res., 2024

Towards robust neural networks via orthogonal diversity.

Kun Fang, Qinghua Tao, Yingwen Wu, Tao Li, Jia Cai, Feipeng Cai, Xiaolin Huang, Jie Yang

Pattern Recognit., 2024

Better Generalization in Fast Training: Flat Trainable Weight in Subspace.

Zehao Lei, Yingwen Wu, Tao Li

Proceedings of the 2024 16th International Conference on Machine Learning and Computing, 2024

2023

Unifying Gradients to Improve Real-World Robustness for Deep Networks.

Yingwen Wu, Sizhe Chen, Kun Fang, Xiaolin Huang

ACM Trans. Intell. Syst. Technol., December, 2023

Identifying firm-specific technology opportunities from the perspective of competitors by using association rule mining.

Yingwen Wu, Yangjian Ji

J. Informetrics, May, 2023

Identifying firm-specific technology opportunities in a supply chain: Link prediction analysis in multilayer networks.

Yingwen Wu, Yangjian Ji, Fu Gu

Expert Syst. Appl., 2023

Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions.

Tao Li, Zhehao Huang, Qinghua Tao, Yingwen Wu, Xiaolin Huang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Efficient Generalization Improvement Guided by Random Weight Perturbation.

Tao Li, Weihao Yan, Zehao Lei, Yingwen Wu, Kun Fang, Ming Yang, Xiaolin Huang

CoRR, 2022

Trainable Weight Averaging for Fast Convergence and Better Generalization.

Tao Li, Zhehao Huang, Qinghua Tao, Yingwen Wu, Xiaolin Huang

CoRR, 2022

Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks.

Sizhe Chen, Zhehao Huang, Qinghua Tao, Yingwen Wu, Cihang Xie, Xiaolin Huang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Subspace Adversarial Training.

Tao Li, Yingwen Wu, Sizhe Chen, Kun Fang, Xiaolin Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2020

Learn Robust Features via Orthogonal Multi-Path.

Kun Fang, Yingwen Wu, Tao Li, Xiaolin Huang, Jie Yang

CoRR, 2020

2017

Image Guided Fuzzy C-Means for Image Segmentation.

Li Guo, Long Chen, Yingwen Wu, C. L. Philip Chen

Int. J. Fuzzy Syst., 2017