Yingwen Wu

According to our database, Yingwen Wu authored at least 13 papers between 2017 and 2023.

Collaborative distances:

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

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

Online Continual Learning via Logit Adjusted Softmax.

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

CoRR, 2023

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

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

CoRR, 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

On Multi-head Ensemble of Smoothed Classifiers for Certified Robustness.

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

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