李仲年，博士，讲师，硕士生导师。2021年11月于南京航空航天大学计算机科学与技术专业获得博士学位，师从张道强教授，同年进入必赢626net入口必赢626net入口，加入许新征教授课题组。
研究方向为机器学习与医学影像处理，包括弱监督学习与图像重建。近年来，在AAAI、ACMMM、SDM、ICMR、KBS等CCF推荐期刊/会议发表学术论文20余篇，申请发明专利2项。目前担任KDD、ACMMM等期刊会议审稿人。分别主持国家自然科学基金与江苏省自然科学基金各一项。
代表性学术论文
zhongnian Li; Meng Wei; peng ying; Tongfeng Sun; Xinzheng Xu; Learning from Concealed Labels, ACM MM, 2024. (CCF A)
Zhongnian Li; Tao Zhang; Peng Wan; Daoqiang Zhang ; SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI Reconstruction, AAAI Conference on ArtificialIntelligence (AAAI), Honolulu, USA, 2019-1-27至2019-2-1. (CCF A)
Zhongnian Li; Tao Zhang; Ruoyu Chen; Daoqiang Zhang ; MRI Measurement Matrix Learning via Correlation Reweighting, ACM Multimedia (ACM MM), Seattle, United States, 2020-10-12至2020-10-16. (CCF A)
Zhongnian Li; Peng Ying; Meng Wei; Tongfeng Sun; Xinzheng Xu; Prompt Expending for Single Positive Multi-Label Learning with Global Unannotated Categories, ICMR 2024.(CCF B)
Zhongnian Li; Mengting Xu; Xinzheng Xu; Daoqiang Zhang ; Complementary Labels Learning with Augmented Classes, Knowledge-Based Systems, 2024, 290(111570): 1-9 (SCI Q1)
邮箱：zhongnianli@cumt.edu.cn
