Zijia Lu

PhD Student

Zijia Lu
  • BS in Computer Science and Economics, NYU Shanghai

I earned my BS degree in NYU Shanghai, majoring in Computer Science and Economics. I also worked as a visiting student at the Chinese Academy of Science for a year.

I like badminton a lot. :)

About Me

  • Hometown:  Qingdao, China
  • Field of Study:  Computer Science
  • PhD Advisor:  Ehsan Elhamifar

What are your research interests in a bit more detail? Is your current academic/research path what you always had in mind for yourself, or has it evolved somewhat? If so, how/why?

My interest lies in Weakly/Un-supervised machine learning. I am currently focusing on Zero-Shot Learning and Video Summarization.

What’s one problem you’d like to solve with your research/work?

How to encode existing textual human knowledge into a machine model.

What aspect of what you do is most interesting/fascinating to you? What aspects of your research (findings, angles, problems you’re solving) might surprise others?

I like reading about ideas from different fields and borrow them to my research.

What are your research/career goals, going forward?

Academics

  • DeCafNet: Delegate and Conquer for Efficient Temporal Grounding in Long Videos

    Citation: Zijia Lu, A S. M. Iftekhar, Gaurav Mittal, Tianjian Meng, Xiawei Wang, Cheng Zhao, Rohith Kukkala, Ehsan Elhamifar, Mei Chen. (2025). DeCafNet: Delegate and Conquer for Efficient Temporal Grounding in Long Videos CVPR, 24066-24076. https://openaccess.thecvf.com/content/CVPR2025/html/Lu_DeCafNet_Delegate_and_Conquer_for_Efficient_Temporal_Grounding_in_Long_CVPR_2025_paper.html

  • Error Detection in Egocentric Procedural Task Videos

    Citation: Shih-Po Lee, Zijia Lu, Zekun Zhang, Minh Hoai, Ehsan Elhamifar. (2024). Error Detection in Egocentric Procedural Task Videos CVPR, 18655-18666. https://doi.org/10.1109/CVPR52733.2024.01765