Yuzhou Cao

According to our database, Yuzhou Cao authored at least 19 papers between 2020 and 2024.

Collaborative distances:

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

2024

Exploiting Human-AI Dependence for Learning to Defer.

Zixi Wei, Yuzhou Cao, Lei Feng

Proceedings of the Forty-first International Conference on Machine Learning, 2024

On the Vulnerability of Adversarially Trained Models Against Two-faced Attacks.

Shengjie Zhou, Lue Tao, Yuzhou Cao, Tao Xiang, Bo An, Lei Feng

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Consistent Multi-Class Classification from Multiple Unlabeled Datasets.

Zixi Wei, Senlin Shu, Yuzhou Cao, Hongxin Wei, Bo An, Lei Feng

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Mitigating Underfitting in Learning to Defer with Consistent Losses.

Shuqi Liu, Yuzhou Cao, Qiaozhen Zhang, Lei Feng, Bo An

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Consistent Hierarchical Classification with A Generalized Metric.

Yuzhou Cao, Lei Feng, Bo An

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Multiple-Instance Learning From Unlabeled Bags With Pairwise Similarity.

Lei Feng, Senlin Shu, Yuzhou Cao, Lue Tao, Hongxin Wei, Tao Xiang, Bo An, Gang Niu

IEEE Trans. Knowl. Data Eng., November, 2023

Average Transmission Rate and Energy Efficiency Optimization in UAV-assisted IoT.

Yuzhou Cao, Aimin Wang, Geng Sun, Lingling Liu

Proceedings of the IEEE Wireless Communications and Networking Conference, 2023

On the Importance of Feature Separability in Predicting Out-Of-Distribution Error.

Renchunzi Xie, Hongxin Wei, Lei Feng, Yuzhou Cao, Bo An

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

Regression with Cost-based Rejection.

Xin Cheng, Yuzhou Cao, Haobo Wang, Hongxin Wei, Bo An, Lei Feng

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

In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer.

Yuzhou Cao, Hussein Mozannar, Lei Feng, Hongxin Wei, Bo An

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

Weakly Supervised Regression with Interval Targets.

Xin Cheng, Yuzhou Cao, Ximing Li, Bo An, Lei Feng

Proceedings of the International Conference on Machine Learning, 2023

Consistent Complementary-Label Learning via Order-Preserving Losses.

Shuqi Liu, Yuzhou Cao, Qiaozhen Zhang, Lei Feng, Bo An

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Multi-complementary and unlabeled learning for arbitrary losses and models.

Yuzhou Cao, Shuqi Liu, Yitian Xu

Pattern Recognit., 2022

Generalizing Consistent Multi-Class Classification with Rejection to be Compatible with Arbitrary Losses.

Yuzhou Cao, Tianchi Cai, Lei Feng, Lihong Gu, Jinjie Gu, Bo An, Gang Niu, Masashi Sugiyama

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

2021

Multi-Class Classification from Single-Class Data with Confidences.

Yuzhou Cao, Lei Feng, Senlin Shu, Yitian Xu, Bo An, Gang Niu, Masashi Sugiyama

CoRR, 2021

Multiple-Instance Learning from Similar and Dissimilar Bags.

Lei Feng, Senlin Shu, Yuzhou Cao, Lue Tao, Hongxin Wei, Tao Xiang, Bo An, Gang Niu

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Learning from Similarity-Confidence Data.

Yuzhou Cao, Lei Feng, Yitian Xu, Bo An, Gang Niu, Masashi Sugiyama

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Multi-variable estimation-based safe screening rule for small sphere and large margin support vector machine.

Yuzhou Cao, Yitian Xu, Junling Du

Knowl. Based Syst., 2020

Multi-Complementary and Unlabeled Learning for Arbitrary Losses and Models.

Yuzhou Cao, Yitian Xu

CoRR, 2020