Yuzhou Cao

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 23

Top Topics

Hierarchical Classification

Top Venues

Publications

Zixi Wei, Senlin Shu, Yuzhou Cao, Hongxin Wei, Bo An, Lei Feng
Consistent Multi-Class Classification from Multiple Unlabeled Datasets. ICLR (2024)
Shuqi Liu, Yuzhou Cao, Qiaozhen Zhang, Lei Feng, Bo An
Mitigating Underfitting in Learning to Defer with Consistent Losses. AISTATS (2024)
Shengjie Zhou, Lue Tao, Yuzhou Cao, Tao Xiang, Bo An, Lei Feng
On the Vulnerability of Adversarially Trained Models Against Two-faced Attacks. ICLR (2024)
Yuzhou Cao, Lei Feng, Bo An
Consistent Hierarchical Classification with A Generalized Metric. AISTATS (2024)
Xin Cheng, Yuzhou Cao, Haobo Wang, Hongxin Wei, Bo An, Lei Feng
Regression with Cost-based Rejection. NeurIPS (2023)
Xin Cheng, Yuzhou Cao, Ximing Li, Bo An, Lei Feng
Weakly Supervised Regression with Interval Targets. ICML (2023)
Xin Cheng, Yuzhou Cao, Ximing Li, Bo An, Lei Feng
Weakly Supervised Regression with Interval Targets. CoRR (2023)
Yuzhou Cao, Hussein Mozannar, Lei Feng, Hongxin Wei, Bo An
In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer. NeurIPS (2023)
Shuqi Liu, Yuzhou Cao, Qiaozhen Zhang, Lei Feng, Bo An
Consistent Complementary-Label Learning via Order-Preserving Losses. AISTATS (2023)
Yuzhou Cao, Hussein Mozannar, Lei Feng, Hongxin Wei, Bo An
In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer. CoRR (2023)
Yuzhou Cao, Aimin Wang, Geng Sun, Lingling Liu
Average Transmission Rate and Energy Efficiency Optimization in UAV-assisted IoT. WCNC (2023)
Xin Cheng, Yuzhou Cao, Haobo Wang, Hongxin Wei, Bo An, Lei Feng
Regression with Cost-based Rejection. CoRR (2023)
Renchunzi Xie, Hongxin Wei, Yuzhou Cao, Lei Feng, Bo An
On the Importance of Feature Separability in Predicting Out-Of-Distribution Error. CoRR (2023)
Renchunzi Xie, Hongxin Wei, Lei Feng, Yuzhou Cao, Bo An
On the Importance of Feature Separability in Predicting Out-Of-Distribution Error. NeurIPS (2023)
Lei Feng, Senlin Shu, Yuzhou Cao, Lue Tao, Hongxin Wei, Tao Xiang, Bo An, Gang Niu
Multiple-Instance Learning From Unlabeled Bags With Pairwise Similarity. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
Yuzhou Cao, Tianchi Cai, Lei Feng, Lihong Gu, Jinjie Gu, Bo An, Gang Niu, Masashi Sugiyama
Generalizing Consistent Multi-Class Classification with Rejection to be Compatible with Arbitrary Losses. NeurIPS (2022)
Yuzhou Cao, Shuqi Liu, Yitian Xu
Multi-complementary and unlabeled learning for arbitrary losses and models. Pattern Recognit. 124 (2022)
Yuzhou Cao, Lei Feng, Senlin Shu, Yitian Xu, Bo An, Gang Niu, Masashi Sugiyama
Multi-Class Classification from Single-Class Data with Confidences. CoRR (2021)
Lei Feng, Senlin Shu, Yuzhou Cao, Lue Tao, Hongxin Wei, Tao Xiang, Bo An, Gang Niu
Multiple-Instance Learning from Similar and Dissimilar Bags. KDD (2021)
Yuzhou Cao, Lei Feng, Yitian Xu, Bo An, Gang Niu, Masashi Sugiyama
Learning from Similarity-Confidence Data. ICML (2021)
Yuzhou Cao, Lei Feng, Yitian Xu, Bo An, Gang Niu, Masashi Sugiyama
Learning from Similarity-Confidence Data. CoRR (2021)
Yuzhou Cao, Yitian Xu
Multi-Complementary and Unlabeled Learning for Arbitrary Losses and Models. CoRR (2020)
Yuzhou Cao, Yitian Xu, Junling Du
Multi-variable estimation-based safe screening rule for small sphere and large margin support vector machine. Knowl. Based Syst. 191 (2020)