About Me

I am a third-year Ph.D. student in Computer Science and Technology at the Institute of Computing Technology, Chinese Academy of Sciences. My research focuses on continual learning and object detection. I received my B.E. degree from Xidian University in 2020 and my M.E. degree from Beijing Institute of Technology in 2023. I am currently advised by Professor Boyu Diao and Professor Yongjun Xu.

My research primarily focuses on addressing the problem of catastrophic forgetting when deep learning models learn new knowledge over time. Recently, my work has concentrated on continual learning for open-world object detection and multimodal large models. My research goal is to enable deep learning models to continuously accumulate knowledge and evolve through ongoing interaction with the environment.

Publication

• [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

• [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

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

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

• [SPL-22, CCF-C] Effectiveness guided cross-modal information sharing for aligned RGB-T object detection

  Zijia An, Chunlei Liu, Yuqi Han

Contact Me

WeChat

Email: anzijia23p@ict.ac.cn