About Me (刘睿琦)

I’m a second-year Ph.D student in Computer Science and Technology at Institute of Computing Technology, Chinese Academy of Sciences. My research focuses on efficient continual learning. I received the B.E. degree from BUPT in 2023. I am now advised by Professor Boyu Diao and Professor Yongjun Xu.

My recent work is concentrated on utilizing pre-trained models to achieve efficient continual learning. This involves exploring how foundational models can be adapted and fine-tuned to learn new tasks sequentially without forgetting previously acquired knowledge, while maintaining computational efficiency.

Education Experience

Ph.D in Institute of Computing Technology, Chinese Academy of Sciences,
Beijing, 2023-now

B.E in Beijing University of Posts and Telecommunications,
Beijing, 2019-2023

Publication

• [PR-25, CCF-B] Low-redundancy Distillation for continual learning

  Ruiqi Liu, Boyu Diao*, Libo Huang, Zijia An, Hangda Liu, Zhulin An, Yongjun Xu

• [ICASSP-25, CCF-B] IOR: Inversed Objects Replay for Incremental Object Detection

  Zijia An, Boyu Diao, Libo Huang, Ruiqi Liu, Zhulin An, Yongjun Xu

• [NeurIPS-24, CCF-A] Continual Learning in the Frequency Domain

  Ruiqi Liu, Boyu Diao, Libo Huang, Zijia An, Zhulin An, Yongjun Xu

• [CVPR-26, CCF-A] Parameterized Prompt for Incremental Object Detection

  Zijia An, Boyu Diao, Ruiqi Liu, Libo Huang, Chuanguang Yang, Fei Wang, Zhulin An, Yongjun Xu

  Honors & Awards

• National Scholarship (Undergraduate), 2022
• Merit Student of Beijing, 2023
• National Scholarship (Master’s), 2024
• ICCV CLVision Challenge Champion, 2025