Yi Gao (高 奕)  Assistant researcher (至善博后) PAttern Learning and Mining (PALM) Lab School of Computer Science and Engineering Southeast University, China Email: gao_yi [at] seu.edu.cn OR gaoyi-1 [at] foxmail.com [Academic Profile]: Google Scholar     DBLP

Biography

My research interests mainly include machine learning and weakly supervised learning. Currently, I am an assistant researcher (至善博后) at the PALM Group , School of Computer Science and Engineering, Southeast University, China. I received the Ph.D. degree from Southeast University, China in 2025, advised by Prof. Min-Ling Zhang and the B.Sc., M.Sc. degrees from Northwest University, China, in 2017 and 2020 respectively.

Publication (*Corresponding author)

• Y. Gao, M. Xu, M.-L. Zhang. Complementary to multiple labels: A correlation-aware correction approach. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024, 46(12): 9179-9191. [Code]
• Y. Tang (协助导师指导的本科生), Y. Gao*, Y.-G. Luo, J.-C. Yang, M. Xu, M.-L. Zhang. Unlearning from weakly supervised learning. In： Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI’24), Jeju, South Korea, 2024, 5000-5008. [Code]
• Y. Gao, M. Xu, M.-L. Zhang. Unbiased risk estimator to multi-labeled complementary label learning. In: Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI’23), Macau, China, 2023, 3732-3740. [Code]
• Y. Gao, M.-L. Zhang. Discriminative complementary-label learning with weighted loss. In：Proceedings of the 38th International Conference on Machine Learning (ICML’21), Virtual Conference, 2021, 3587-3597. [Code]
• X. Sun, Y. Gao, R. Sutcliffe, S.-X. Guo, X. Wang, J. Feng. Word representation learning based on bidirectional GRUs with drop loss for sentiment classification. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021, 51(7): 4532-4542.
• Y. Gao, X. Sun, X. Wang, J. Feng, S.-X. Guo. A parallel neural network structure for sentiment classification of MOOCs discussion forums. Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 4915-4927, 2020.

Awards

• Research scholarship at the University of Genova, Italy, 2025.

Academic Service

• PC Member: IJCAI (2025), AJCAI (2023).
• Reviewer: ICML (2025), ICLR (2025), IJCAI (2024), NeurIPS (2024), Neural Networks, Machine Intelligence Research.
• Volunteer of the 13th Jiangsu Provincial Computer Conference, 2024.
• Web Team Member of KDD 2021.

Invited Talk

• The 2024 Academic Conference on Artificial Intelligence of Jiangsu Province, Nov. 2024, Suqian, China. Title: “Complementary to Multiple Labels: A Correlation-Aware Correction Approach”.