Peifeng Gao

According to our database, Peifeng Gao authored at least 7 papers between 2023 and 2025.

Collaborative distances:

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

2025

Gradient Descent Robustly Learns the Intrinsic Dimension of Data in Training Convolutional Neural Networks.

Chenyang Zhang, Peifeng Gao, Difan Zou, Yuan Cao

CoRR, April, 2025

2023

Towards Demystifying the Generalization Behaviors When Neural Collapse Emerges.

Peifeng Gao, Qianqian Xu, Yibo Yang, Peisong Wen, Huiyang Shao, Zhiyong Yang, Bernard Ghanem, Qingming Huang

CoRR, 2023

A Study of Neural Collapse Phenomenon: Grassmannian Frame, Symmetry, Generalization.

Peifeng Gao, Qianqian Xu, Peisong Wen, Huiyang Shao, Zhiyong Yang, Qingming Huang

CoRR, 2023

Weighted ROC Curve in Cost Space: Extending AUC to Cost-Sensitive Learning.

Huiyang Shao, Qianqian Xu, Zhiyong Yang, Peisong Wen, Peifeng Gao, Qingming Huang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Feature Directions Matter: Long-Tailed Learning via Rotated Balanced Representation.

Peifeng Gao, Qianqian Xu, Peisong Wen, Zhiyong Yang, Huiyang Shao, Qingming Huang

Proceedings of the International Conference on Machine Learning, 2023

Building Bridge Across the Time: Disruption and Restoration of Murals In the Wild.

Huiyang Shao, Qianqian Xu, Peisong Wen, Peifeng Gao, Zhiyong Yang, Qingming Huang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Towards Decision-Friendly AUC: Learning Multi-Classifier with AUCµ.

Peifeng Gao, Qianqian Xu, Peisong Wen, Huiyang Shao, Yuan He, Qingming Huang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023