陈明猜

姓名：陈明猜  

职称：讲师（校聘副教授）

部门：计算机技术研究所

研究方向：机器学习/深度学习、噪声标签学习

邮箱：chenmc@njupt.edu.cn

个人简介：（陈明猜，博士，2024年6月博士毕业于南京大学计算机科学与技术系。2024年8月加入南京邮电大学计算机学院、软件学院、网络空间安全学院。他的研究重点是在开放环境下构建可靠、稳健的机器学习系统，主要包括噪声标签学习、半监督学习等。）

科研成果：

近5年发表学术论文十余篇，以第一作者在AAAI、IJCAI、TNNLS等CCF会议、期刊上发表论文6篇。

[1]   Chen M, Du Y, Jiang W, Zhang B, Feng S, Xin Y, Wang C. Robust Logit Adjustment for Learning with Long-Tailed Noisy Data[C]//Accepted by the AAAI Conference on Artificial Intelligence, 2024. (CCF-A类会议)

[2]   Chen M, Zhao Y*, He B, Han Z, Huang J, Wu B, Yao J. Learning with Noisy Labels over Imbalanced Subpopulations[J]. IEEE Transactions on Neural Networks and Learning Systems, 2024: 1–12. (中科院一区期刊)

[3]   Chen M, Zhao Y*, Wang Z, He B, Yao J. A Noisy-Label-Learning Formulation for Immune Repertoire Classification and Disease-Associated Immune Receptor Sequence Identification[C]//Proceedings of the International Joint Conference on Artificial Intelligence, 2023: 4739–4747. (CCF-A类会议)

[4]   Chen M, Cheng H, Du Y, Xu M, Jiang W, Wang C. Two Wrongs Don’t Make a Right: Combating Confirmation Bias in Learning with Label Noise[C]//Proceedings of the AAAI Conference on Artificial Intelligence, 2023, 37(12): 14765–14773. (CCF-A类会议)

[5]   Chen M, Du Y, Zhang Y, Qian S, Wang C. Semi-Supervised Learning with Multi-Head Co-Training[C]//Proceedings of the AAAI Conference on Artificial Intelligence, 2022, 36(6): 6278–6286. (CCF-A类会议)

[6]  Chen M, Wang C. Multi-Head Co-Training: An Uncertainty-Aware and Robust Semi-Supervised Learning Framework[J]. Knowledge-Based Systems, 2024, 302: 112325. (中科院二区期刊)