Yifan Wang (王怿凡)
email: yifan.wang.5 _at_ stonybrook.edu

| CV | Google Scholar | Github | LinkedIn |

Hi it's Yifan. I am a first-year CS Ph.D. student in Stony Brook University, advised by Chenyu You. My research interest broadly lies in Computer Vision, Machine Learning, Cognitive Science and Medical Image Analysis. My current research focuses on the decoding of brain signals and the potential applications of generative models. I am intrigued by the intersection of cognitive science and machine learning and I am committed to the development of reliable machine learning systems.

Previously, I graduated from ShanghaiTech University with a major in computer science, advised by Kan Ren. I also spent a wonderful year at UC Berkeley as an exchanged junior, where I worked as a research intern in Whitney's Lab.

  News
  • [02/2025] Our paper DiffLens has been accepted by CVPR 2025!
  • [01/2025] Our paper Neuron Path has been accepted by ICLR 2025!
  • [08/2024] I will join Stony Brook University in 24Fall as a new PhD student!
  • [03/2024] Our paper EEGFormer has been accepted by AAAI 2024 SSS on Clinical FMs!
  • [10/2023] Our paper VEATIC Dataset has been accepted by WACV 2024!
  • [06/2023] I've completed the one-year exchange in UC Berkeley!
  Publications
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Discovering Influential Neuron Path in Vision Transformers
Yifan Wang, Yifei Liu, Yingdong Shi, Changming Li, Anqi Pang, Sibei Yang, Jingyi Yu, Kan Ren
ICLR, 2025

abstract | paper | code |

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EEGFormer: Towards Transferable and Interpretable Large-Scale EEG Foundation Model
Yuqi Chen, Kan Ren, Kaitao Song, Yansen Wang, Yifan Wang, Dongsheng Li, Lili Qiu
AAAI, 2024 SSS on Clinical FMs

abstract | paper |

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VEATIC: Video-based Emotion and Affect Tracking in Context Dataset
Zhihang Ren* Jefferson Ortega* Yifan Wang* Zhimin Chen, David Whitney, Yunhui Guo, Stella Yu (* Equal contribution)
WACV, 2024

webpage | abstract | paper | code |

  Professional Activity
  • Conference Reviewer: MICCAI 2025, CVPR 2025
  • Journal Reviewer: Pattern Recognition, TMI, TNNLS
  • Teaching Assistant: CSE 549, IAE 101
  Awards
  • [06/2024] I received the honor of being the Outstanding Graduate in ShanghaiTech.
  • [12/2023] I received the honor of being 2022-2023 Merit Student in ShanghaiTech.
  • [07/2023] I received the Undergraduate International Exchange Special Scholarship in ShanghaiTech.
  • [12/2022] I received the honor of being 2021-2022 Merit Student in ShanghaiTech.

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