Yitian Zhang
PhD Student
Electrical and Computer Engineering Department
Northeastern University
Email : markcheung9248 [at] gmail.com    

About Me

I am a fourth-year PhD student in the Electrical and Computer Engineering Department, Northeastern University, advised by Prof. Yun Raymond Fu. Prior to this, I obtained my bachelor degree from Huazhong University of Science and Technology. My research interests include Efficient Deep Learning, Foundation Models, and Video Generation.

News

  • 2025.01: We have two papers accepted by ICLR 2025.
  • 2024.09: We have one paper accepted by NeurIPS 2024.
  • 2024.01: We have one paper accepted by ICLR 2024.
  • 2023.02: We have one paper accepted by CVPR 2023. We provide a codebase which supports 2D, 3D and Transformer Network for Video Recognition.
  • 2022.10: I have received NeurIPS 2022 scholar award.
  • 2022.09: We have two papers accepted by NeurIPS 2022.
  • 2021.09: Begin my journey at SMILE Lab, Northeastern University.

Experiences

    SMILE Lab, Northeastern University, Boston

    Graduate Student,   Sep. 2021 ~ Now

    Supervisor: Prof. Yun Raymond Fu

    Adobe Research, San Jose

    Research Intern,   June. 2024 ~ Now

    Supervisor: Long Mai, Aniruddha Mahapatra

    Snap Inc., New York

    Research Intern,   May. 2023 ~ Aug. 2023

    Hong Kong University of Science and Technology, Hong Kong

    Research Assistant,   Apr. 2021 ~ Jul. 2021

    Supervisor: Prof. Qifeng Chen

    Tsinghua University, Beijing

    Research Assistant,   Jul. 2020 ~ Dec. 2020

    Supervisor: Prof. Gao Huang

    National Tsing Hua University, Taiwan

    Exchange Student,   Sep. 2019 ~ Jan. 2020

    National University of Singapore, Singapore

    Research Assistant,   Jul. 2019 ~ Sep. 2019

    Supervisor: Prof. Marcelo Ang

    Huazhong University of Science and Technology, Wuhan

    Undergraduate Student,   Sep. 2016 ~ Jun. 2020

Preprint

REGEN: Learning Compact Video Embedding with (Re-)Generative Decoder
Yitian Zhang, Long Mai, Aniruddha Mahapatra, David Bourgin, Yicong Hong, Jonah Casebeer, Feng Liu, Yun Fu
[arXiv] [Website]
Progressive Growing of Video Tokenizers for Highly Compressed Latent Spaces
Aniruddha Mahapatra, Long Mai, Yitian Zhang, David Bourgin, Feng Liu
[arXiv] [Website]

Publications

Accessing Vision Foundation Models via ImageNet-1K
Yitian Zhang, Xu Ma, Yue Bai, Huan Wang, Yun Fu
International Conference on Learning Representations (ICLR), 2025.
[arXiv] [Code] [知乎]
Scale-Free Graph-Language Models
Jianglin Lu, Yixuan Liu, Yitian Zhang, Yun Fu
International Conference on Learning Representations (ICLR), 2025.
[arXiv] [Code]
Slicing Vision Transformer for Flexible Inference
Yitian Zhang, Huseyin Coskun, Xu Ma, Huan Wang, Ke Ma, Xi Chen, Derek Hao Hu, Yun Fu
Advances in Neural Information Processing Systems (NeurIPS), 2024.
[arXiv] [Code]
Don't Judge by the Look: A Motion Coherent Augmentation for Video Recognition
Yitian Zhang, Yue Bai, Huan Wang, Yizhou Wang, Yun Fu
International Conference on Learning Representations (ICLR), 2024.
[arXiv] [Code]
Frame Flexible Network
Yitian Zhang, Yue Bai, Chang Liu, Huan Wang, Sheng Li, Yun Fu
IEEE / CVF Computer Vision and Pattern Recognition (CVPR), 2023.
[arXiv] [Code] [知乎]
Look More but Care Less in Video Recognition
Yitian Zhang, Yue Bai, Huan Wang, Yi Xu, Yun Fu
Advances in Neural Information Processing Systems (NeurIPS), 2022.
[arXiv] [Code]
Parameter-Efficient Masking Network
Yue Bai, Huan Wang, Xu Ma, Yitian Zhang, Zhiqiang Tao, Yun Fu
Advances in Neural Information Processing Systems (NeurIPS), 2022.
[arXiv] [Code]
Spatially Adaptive Feature Refinement for Efficient Inference
Yizeng Han, Gao Huang, Shiji Song, Le Yang, Yitian Zhang, Haojun Jiang
IEEE Transactions on Image Processing (TIP), 2021.
[Paper]

Professional Activities

  • Reviewer for CVPR, NeurIPS, ICLR, ICML, ICCV, ECCV, TPAMI, TIP, TKDD