Biography

Currently I am a second year Ph.D. student of School of Artificial Intelligence in Nanjing University and a member of LAMDA Group, led by professor Zhi-Hua Zhou.

I received my B.Eng. degree in software engineering from Jilin University in 2019. In the same year, I was admitted to study for a M.Sc. degree in Nanjing University without entrance examination. And I received my M.Sc. degree in 2022.

For more information, you may refer to my CV.

Research

My current research focuses on continual learning, particularly on enabling foundation models to learn from experience, retain prior capabilities, and evolve autonomously over time.

News

Publications

  1. HypCL: Adapting CLIP in Hyperbolic Space for Continual Learning [PDF]
    Quan Cheng, Hao Yu, Da-Wei Zhou and Lijun Zhang
    In Proceedings of the 43rd International Conference on Machine Learning (ICML 2026), 2026.

  2. Continuous Subspace Optimization for Continual Learning [PDF, Code, ]
    Quan Cheng, Yuanyu Wan, Lingyu Wu, Chenping Hou and Lijun Zhang
    In Advances in Neural Information Processing Systems (NeurIPS 2025), 2025.

  3. Deep Unified Cross-Modality Hashing by Pairwise Data Alignment [PDF, ]
    Yimu Wang, Bo Xue, Quan Cheng, Yuhui Chen and Lijun Zhang
    In Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI 2021), 2021.

  4. SAdam: A Variant of Adam for Strongly Convex Functions [PDF, ]
    Guanghui Wang, Shiyin Lu, Quan Cheng, Weiwei Tu and Lijun Zhang
    In Proceedings of the 8th International Conference on Learning Representations (ICLR 2020), 2020.

Academic Service

Teaching Assistant

Correspondence

Email: chengq@lamda.nju.edu.cn

Address: Quan Cheng, National Key Laboratory for Novel Software Technology, Nanjing University, 163 Xianlin Avenue, Qixia District, Nanjing 210023, China.

(南京市栖霞区仙林大道163号, 南京大学仙林校区, 软件新技术国家重点实验室, 210023.)