- One collaborative paper accepted by KDD’25 (CCF-A)
- One first-author paper accepted by IJCAI’25 (CCF-A)
- One first-author paper accepted by T-CSVT’25 (CCF-B, IF: 11.1)
- One first-author paper accepted by CVPR’25 (CCF-A)
- One first-author paper accepted by ICASSP’25 (CCF-B)
- One first-author paper accepted by ECCV’24 (CCF-B)
- One collaborative paper accepted by KDD’24 (CCF-A)
- One collaborative paper accepted by ACL’24 Findings
- One co-first-author paper accepted by ICME’24 (CCF-B)
- One first-author paper accepted by AAAI’24 (CCF-A, Oral)
- One collaborative paper accepted by ICCV’23 (CCF-A)
- Won second place in the 1st Learning and Mining with Noisy Labels Challenge at IJCAI 2022
- One student-first-author paper accepted by IJCAI’21 (CCF-A)
Research Experience
Currently pursuing a Ph.D. at the College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, under the guidance of Prof. Sheng-Jun Huang.
Education
Obtained Bachelor's degree in 2021 from Nanjing University of Aeronautics and Astronautics (NUAA); enrolled in the Master's program and later transitioned to a Ph.D. program via an integrated M.S.-Ph.D. track in April 2023, advised by Prof. Sheng-Jun Huang since 2019.
Background
Research interests primarily focus on weakly supervised learning under complex and open-world settings, with a particular interest in active learning and noisy label learning within both open-set and federated learning scenarios. Additionally, closely follows topics such as uncertainty quantification and knowledge distillation.
Miscellany
Open to research collaborations, feel free to reach out via email.