Yuzhou Cao - RankMe

27 papers A* 10A 3B 1Journal 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	When More Experts Hurt: Underfitting in Multi-Expert Learning to Defer. CoRR Shuqi Liu, Yuzhou Cao, Lei Feng, Bo An, Luke Ong
2025	J	`jnl`	Establishing Linear Surrogate Regret Bounds for Convex Smooth Losses via Convolutional Fenchel-Young Losses. CoRR Yuzhou Cao, Han Bao, Lei Feng, Bo An
2025	J	`jnl`	Non-Stationary Online Structured Prediction with Surrogate Losses. CoRR Shinsaku Sakaue, Han Bao, Yuzhou Cao
2024	A	`conf`	Consistent Hierarchical Classification with A Generalized Metric. AISTATS Yuzhou Cao, Lei Feng, Bo An
2024	A*	`conf`	Consistent Multi-Class Classification from Multiple Unlabeled Datasets. ICLR Zixi Wei, Senlin Shu, Yuzhou Cao, Hongxin Wei, Bo An, Lei Feng
2024	A*	`conf`	Exploiting Human-AI Dependence for Learning to Defer. ICML Zixi Wei, Yuzhou Cao, Lei Feng
2024	A	`conf`	Mitigating Underfitting in Learning to Defer with Consistent Losses. AISTATS Shuqi Liu, Yuzhou Cao, Qiaozhen Zhang, Lei Feng, Bo An
2024	A*	`conf`	On the Vulnerability of Adversarially Trained Models Against Two-faced Attacks. ICLR Shengjie Zhou, Lue Tao, Yuzhou Cao, Tao Xiang, Bo An, Lei Feng
2023	B	`conf`	Average Transmission Rate and Energy Efficiency Optimization in UAV-assisted IoT. WCNC Yuzhou Cao, Aimin Wang, Geng Sun, Lingling Liu
2023	A	`conf`	Consistent Complementary-Label Learning via Order-Preserving Losses. AISTATS Shuqi Liu, Yuzhou Cao, Qiaozhen Zhang, Lei Feng, Bo An
2023	A*	`conf`	In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer. NeurIPS Yuzhou Cao, Hussein Mozannar, Lei Feng, Hongxin Wei, Bo An
2023	J	`jnl`	In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer. CoRR Yuzhou Cao, Hussein Mozannar, Lei Feng, Hongxin Wei, Bo An
2023	J	`jnl`	Multiple-Instance Learning From Unlabeled Bags With Pairwise Similarity. IEEE Trans. Knowl. Data Eng. Lei Feng, Senlin Shu, Yuzhou Cao, Lue Tao, Hongxin Wei, Tao Xiang, Bo An, Gang Niu
2023	A*	`conf`	On the Importance of Feature Separability in Predicting Out-Of-Distribution Error. NeurIPS Renchunzi Xie, Hongxin Wei, Lei Feng, Yuzhou Cao, Bo An
2023	J	`jnl`	On the Importance of Feature Separability in Predicting Out-Of-Distribution Error. CoRR Renchunzi Xie, Hongxin Wei, Yuzhou Cao, Lei Feng, Bo An
2023	A*	`conf`	Regression with Cost-based Rejection. NeurIPS Xin Cheng, Yuzhou Cao, Haobo Wang, Hongxin Wei, Bo An, Lei Feng
2023	J	`jnl`	Regression with Cost-based Rejection. CoRR Xin Cheng, Yuzhou Cao, Haobo Wang, Hongxin Wei, Bo An, Lei Feng
2023	A*	`conf`	Weakly Supervised Regression with Interval Targets. ICML Xin Cheng, Yuzhou Cao, Ximing Li, Bo An, Lei Feng
2023	J	`jnl`	Weakly Supervised Regression with Interval Targets. CoRR Xin Cheng, Yuzhou Cao, Ximing Li, Bo An, Lei Feng
2022	A*	`conf`	Generalizing Consistent Multi-Class Classification with Rejection to be Compatible with Arbitrary Losses. NeurIPS Yuzhou Cao, Tianchi Cai, Lei Feng, Lihong Gu, Jinjie Gu, Bo An, Gang Niu, Masashi Sugiyama
2022	J	`jnl`	Multi-complementary and unlabeled learning for arbitrary losses and models. Pattern Recognit. Yuzhou Cao, Shuqi Liu, Yitian Xu
2021	A*	`conf`	Learning from Similarity-Confidence Data. ICML Yuzhou Cao, Lei Feng, Yitian Xu, Bo An, Gang Niu, Masashi Sugiyama
2021	J	`jnl`	Learning from Similarity-Confidence Data. CoRR Yuzhou Cao, Lei Feng, Yitian Xu, Bo An, Gang Niu, Masashi Sugiyama
2021	J	`jnl`	Multi-Class Classification from Single-Class Data with Confidences. CoRR Yuzhou Cao, Lei Feng, Senlin Shu, Yitian Xu, Bo An, Gang Niu, Masashi Sugiyama
2021	A*	`conf`	Multiple-Instance Learning from Similar and Dissimilar Bags. KDD Lei Feng, Senlin Shu, Yuzhou Cao, Lue Tao, Hongxin Wei, Tao Xiang, Bo An, Gang Niu
2020	J	`jnl`	Multi-Complementary and Unlabeled Learning for Arbitrary Losses and Models. CoRR Yuzhou Cao, Yitian Xu
2020	J	`jnl`	Multi-variable estimation-based safe screening rule for small sphere and large margin support vector machine. Knowl. Based Syst. Yuzhou Cao, Yitian Xu, Junling Du