高奕，东南大学计算机科学与工程学院助理研究员，研究方向包括机器学习、弱监督学习等，研究成果发表于国际期刊IEEE TPAMI，以及国际会议ICML、IJCAI等。主持“NSFC 博士生基金”项目，并担任多个著名国际期刊/会议审稿人。更多信息请访问我的个人主页。
2020年-2025年，东南大学，网络空间安全学院，博士，导师：张敏灵 教授；
2017年-2020年，西北大学，信息科学与工程学院，硕士；
2013年-2017年，西北大学，信息科学与工程学院，本科。
2025年 - 至今，东南大学，计算机科学与工程学院，助理研究员
期刊论文（*通讯作者）：
高奕, 李佳祺, 张敏灵. 基于排他约束的去噪偏多标记学习方法. 中国科学: 信息科学, 2026, in press.
Yi Gao, Yuan-Yuan Meng, Miao Xu, Min-Ling Zhang. MulCo: Representation learning for complementary labels. ACM Transactions on Knowledge Discovery from Data, 2026, in press.
Yi Gao, Yuan-Yuan Meng, Miao Xu, Min-Ling Zhang. Data augmentation with consistency regularization for multi-labeled complementary label learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2026, 48(3), 2368-2379.
Yi Gao, Jing-Yi Zhu, Miao Xu, Min-Ling Zhang. Multi-label learning with multiple complementary labels. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025, 47(9): 8013-8024.
Yi Gao, Miao Xu, Min-Ling Zhang. Complementary to multiple labels: A correlation-aware correction approach. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024, 46(12): 9179-9191.
Xia Sun, Yi Gao, Richard Sutcliffe, Shou-Xi Guo, Xin Wang, Jun 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.
Yi Gao, Xia Sun, Xin Wang, Jun Feng, Shou-Xi Guo. A parallel neural network structure for sentiment classification of MOOCs discussion forums. Journal of Intelligent & Fuzzy Systems, 2020, 38(4), 4915-4927.
会议论文（*通讯作者）：
Yi Gao, Davide Anguita, Fabio Roli, Min-Ling Zhang, Fulvio Mastrogiovanni, Luca Oneto. Multi-label complementary labels learning with hard logical constraints. In Proceedings of 2026 European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2026), Bruges, Belgium, 2026, 81-86.
Jing-Yi Zhu, Yi Gao*, Miao Xu, Min-Ling Zhang. ComRank: Ranking loss for multi-label complementary label learning. In Advances in Neural Information Processing Systems 38 (NeurIPS 2025), San Diego, CA, 2025.
Yi Gao, Miao Xu, Min-Ling Zhang. Unbiased risk estimator to multi-labeled complementary label learning. In Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), Macau, China, 2023, 3732-3740.
Yi Gao, Min-Ling Zhang. Discriminative complementary-label learning with weighted loss. In Proceedings of the 38th International Conference on Machine Learning (ICML 2021), Virtual Conference, 2021, 3587-3597.
Yi Tang, Yi Gao*, Yong-Gang Luo, Ju-Cheng Yang, Miao Xu, Min-Ling Zhang. Unlearning from weakly supervised learning. In Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), Jeju, South Korea, 2024, 5000-5008.
