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Yuzhou Cao
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2020 – today
- 2024
- [c14]Shuqi Liu, Yuzhou Cao, Qiaozhen Zhang, Lei Feng, Bo An:
Mitigating Underfitting in Learning to Defer with Consistent Losses. AISTATS 2024: 4816-4824 - [c13]Yuzhou Cao, Lei Feng, Bo An:
Consistent Hierarchical Classification with A Generalized Metric. AISTATS 2024: 4825-4833 - [c12]Zixi Wei, Senlin Shu, Yuzhou Cao, Hongxin Wei, Bo An, Lei Feng:
Consistent Multi-Class Classification from Multiple Unlabeled Datasets. ICLR 2024 - [c11]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 - [c10]Zixi Wei, Yuzhou Cao, Lei Feng:
Exploiting Human-AI Dependence for Learning to Defer. ICML 2024 - 2023
- [j3]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): 11599-11609 (2023) - [c9]Shuqi Liu, Yuzhou Cao, Qiaozhen Zhang, Lei Feng, Bo An:
Consistent Complementary-Label Learning via Order-Preserving Losses. AISTATS 2023: 8734-8748 - [c8]Xin Cheng, Yuzhou Cao, Ximing Li, Bo An, Lei Feng:
Weakly Supervised Regression with Interval Targets. ICML 2023: 5428-5448 - [c7]Yuzhou Cao, Hussein Mozannar, Lei Feng, Hongxin Wei, Bo An:
In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer. NeurIPS 2023 - [c6]Xin Cheng, Yuzhou Cao, Haobo Wang, Hongxin Wei, Bo An, Lei Feng:
Regression with Cost-based Rejection. NeurIPS 2023 - [c5]Renchunzi Xie, Hongxin Wei, Lei Feng, Yuzhou Cao, Bo An:
On the Importance of Feature Separability in Predicting Out-Of-Distribution Error. NeurIPS 2023 - [c4]Yuzhou Cao, Aimin Wang, Geng Sun, Lingling Liu:
Average Transmission Rate and Energy Efficiency Optimization in UAV-assisted IoT. WCNC 2023: 1-6 - [i7]Renchunzi Xie, Hongxin Wei, Yuzhou Cao, Lei Feng, Bo An:
On the Importance of Feature Separability in Predicting Out-Of-Distribution Error. CoRR abs/2303.15488 (2023) - [i6]Xin Cheng, Yuzhou Cao, Ximing Li, Bo An, Lei Feng:
Weakly Supervised Regression with Interval Targets. CoRR abs/2306.10458 (2023) - [i5]Yuzhou Cao, Hussein Mozannar, Lei Feng, Hongxin Wei, Bo An:
In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer. CoRR abs/2311.01106 (2023) - [i4]Xin Cheng, Yuzhou Cao, Haobo Wang, Hongxin Wei, Bo An, Lei Feng:
Regression with Cost-based Rejection. CoRR abs/2311.04550 (2023) - 2022
- [j2]Yuzhou Cao, Shuqi Liu, Yitian Xu:
Multi-complementary and unlabeled learning for arbitrary losses and models. Pattern Recognit. 124: 108447 (2022) - [c3]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 - 2021
- [c2]Yuzhou Cao, Lei Feng, Yitian Xu, Bo An, Gang Niu, Masashi Sugiyama:
Learning from Similarity-Confidence Data. ICML 2021: 1272-1282 - [c1]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: 374-382 - [i3]Yuzhou Cao, Lei Feng, Yitian Xu, Bo An, Gang Niu, Masashi Sugiyama:
Learning from Similarity-Confidence Data. CoRR abs/2102.06879 (2021) - [i2]Yuzhou Cao, Lei Feng, Senlin Shu, Yitian Xu, Bo An, Gang Niu, Masashi Sugiyama:
Multi-Class Classification from Single-Class Data with Confidences. CoRR abs/2106.08864 (2021) - 2020
- [j1]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: 105223 (2020) - [i1]Yuzhou Cao, Yitian Xu:
Multi-Complementary and Unlabeled Learning for Arbitrary Losses and Models. CoRR abs/2001.04243 (2020)
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