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Brief Biography

I am currently a PhD student with research interests in statistical learning at School of Computer Science and Engineering, Nanyang Technological University, Singapore, supervised by Prof. Bo An. Before that, I received my B.Sc. degree from College of Science, China Agricultural University, China, in 2021, supervised by Prof. Yitian Xu.

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Top News

• [Jan 2024] Two papers were accepted by AISTATS'24.

• [Jan 2024] Two papers were accepted by ICLR'24.

• [Sep 2023] Three papers were accepted by NeurIPS'23.

• [Apr 2023] One papers were accepted by ICML'23.

• [Jan 2023] One papers on weakly-supervised learning was accepted by AISTATS'23.

• [Sep 2022] One papers on classification with rejection was accepted by NeurIPS'22.

• [Nov 2021] One paper on weakly-supervised learning was accepted by Pattern Recognition.

• [May 2021] One paper on multi-instance learning was accepted by KDD'21.

• [May 2021] One paper on learning with similarity information was accepted by ICML'21.

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Research Appointments

• Research Assistant (Aug 2022 - Aug 2023)

Agent Mediated Intelligence Research Group, School of Computer Science and Engineering, Nanyang Technological University, Singapore
Supervised by Prof. Bo An



• Research Intern (Sep 2021 - Jun 2022)

Ant Group, Hangzhou, China

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Education

• Ph.D. student (Aug 2023 - Present)

Agent Mediated Intelligence Research Group, School of Computer Science and Engineering, Nanyang Technological University, Singapore
Supervised by Prof. Bo An



• B.Sc. in Applied Mathematics. China Agricultural University, Beijing, China (Sep 2016 - Jul 2021)

Outstanding Graduate of Beijing. Supervised by Prof. Yitian Xu.

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Publications

(* Corresponding author; † Equal contribution)

• Yuzhou Cao, Lei Feng, Bo An.
  Consistent Hierarchical Classification with A Generalized Metric.
  Proceedings of the 27th International Conference on Artificial Intelligence and Statistics (AISTATS'24), accepted, 2024.
  

• Shuqi Liu†, Yuzhou Cao†, Lei Feng, Bo An.
  Mitigating Underfitting in Learning to Defer with Consistent Losses.
  Proceedings of the 27th International Conference on Artificial Intelligence and Statistics (AISTATS'24), accepted, 2024.
  

• Zixi Wei, Senlin Shu, Yuzhou Cao, Hongxin Wei, Bo An, Lei Feng.
  Consistent Multi-Class Classification from Multiple Unlabeled Datasets.
  Proceedings of the 12th International Conference on Learning Representations (ICLR'24), accepted, 2024.
  

• Shengjie Zhou, Lue Tao, Yuzhou Cao, Tao Xiang, Bo An, Lei Feng.
  On the Vulnerability of Adversarially Trained Models Against Two-faced Attacks.
  Proceedings of the 12th International Conference on Learning Representations (ICLR'24), accepted, 2024.
  

• Yuzhou Cao, Hussein Mozannar, Lei Feng, Hongxin Wei, Bo An.
  In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer.
  Proceedings of the 37th Annual Conference on Neural Information Processing Systems (NeurIPS'23), accepted, 2023.
  

• Xin Cheng, Yuzhou Cao, Haobo Wang, Hongxin Wei, Bo An, Lei Feng.
  Regression with Cost-based Rejection.
  Proceedings of the 37th Annual Conference on Neural Information Processing Systems (NeurIPS'23), accepted, 2023.
  

• Renchunzi Xie, Hongxin Wei, Lei Feng, Yuzhou Cao, Bo An.
  On the Importance of Feature Separability in Predicting Out-Of-Distribution Error.
  Proceedings of the 37th Annual Conference on Neural Information Processing Systems (NeurIPS'23), accepted, 2023.
  

• Xin Cheng, Yuzhou Cao, Ximing Li, Bo An, Lei Feng*.
  Weakly Supervised Regression with Interval Targets.
  Proceedings of the 40th International Conference on Machine Learning, (ICML'23), accepted, 2023.
  

• Shuqi Liu, Yuzhou Cao, Lei Feng, Qiaozhen Zhang, Bo An.
  Consistent Complementary-Label Learning via Order-Preserving Losses
  The 26th International Conference on Artificial Intelligence and Statistics (AISTATS'23), accepted, 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.
  Proceedings of the 36th Annual Conference on Neural Information Processing Systems (NeurIPS'22), accepted, 2022.
  

• Yuzhou Cao, Shuqi Liu, Yitian Xu.
  Multi-Complementary and Unlabeled Learning for Arbitrary Losses and Models.
  (Pattern Recognition), accepted, 2021.
  

• Yuzhou Cao, Lei Feng, Yitian Xu, Bo An, Gang Niu, Masashi Sugiyama.
  Learning from Similarity-Confidence Data.
  Proceedings of the 38th International Conference on Machine Learning, (ICML'21), accepted, 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.
  Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'21), pp. 374-382, 2021.
  

• Yuzhou Cao, Yitian Xu.
  Multi-Variable Estimation-Based Safe Screening Rule for Small Sphere and Large Margin Support Vector Machine.
  (Knowledge-Based Systems), accepted, 2020.