Zejia Weng

Ph.D. Candidate
School of Computer Science, Fudan University

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Biography

I am a 5-th year Ph.D. Candidate in School of Computer Science at Fudan University supervised by Prof. Zuxuan Wu and Prof. Yu-Gang Jiang. I am a member of the Fudan Vision and Learning Laboratory. Before this, I recieved my BS degree in Computer Science from the Fudan University with Prof. Yu-Gang Jiang in 2020. My research interests are in computer vision and deep learning. My current research particularly focuses on large-scale video understanding and multimodal learning.

I'm set to graduate in 2025 and actively exploring job opporunities in both industry and academia. If you are interested in working with me, please feel free to email me.

Publication

Hornors & Awards

  • First Class Award Scholarship of Fudan University, Dec., 2023
  • Venustech Scholarship, Nov., 2021
  • Tencent Advertising Algorithm Competition, Leader, Ranked 3rd, Aug., 2021
  • First Class Award Graduation Scholarship of Fudan University, Apr. 2020
  • Google YouTube-8M Video Understanding Challenge, Leader, Ranked 2nd, Oct. 2019

Professional Service

  • Reviewer for CVPR2023, AAAI2023, NeurIPS2023