Cheng Wan

Cornell University

Electrical and Computer Engineering

Ithaca, NY 14853

Hi there! I’m a first-year ECE Ph.D. Student at Cornell University, and I’m honored to be advised by Mert Sabuncu and Qingyu Zhao, previously working on Computer Vision at CMU CS, also on AI for Healthcare at Georgia Tech and Emory.

My research is now mainly focused on AI for Medicine especially in 3D vision learning and understanding. I’m passionate about developing intelligent systems that can make a meaningful impact in healthcare.

📄 View my full Resume/CV here or download the PDF version.

If you’re interested in research collaborations or have any questions, please feel free to contact me at: jouiney666 [at] gmail [dot] com.

Research Interests

AI for Medicine
3D Vision Learning
Multimodal Learning

For more information, please visit the dedicated pages in the navigation menu.

News

Jun 01, 2025	WASABI is accepted by MICCAI 2025! 🎉
Dec 01, 2024	TABNet is accepted by ICASSP 2024! 🎉
Nov 01, 2024	Our paper is accepted by IEEE JBHI! 📄
Oct 01, 2024	Our paper is selected as Oral Presentation at BHI 2024! 🎤
Jun 01, 2024	I will give an Oral Presentation at CVPR 2024, NTIRE Workshop at June 17th, see you in Seattle! 🗣️

Selected Publications

MICCAI

WASABI: A Metric for Evaluating Morphometric Plausibility of Synthetic Brain MRIs

Bahram Jafrasteh^*, Wei Peng^*, Cheng Wan, and 3 more authors

Medical Image Computing and Computer Assisted Intervention (MICCAI), 2025

Bib HTML PDF

@article{jafrasteh2025wasabi,
  title = {WASABI: A Metric for Evaluating Morphometric Plausibility of Synthetic Brain MRIs},
  author = {Jafrasteh, Bahram and Peng, Wei and Wan, Cheng and Luo, Yimin and Adeli, Ehsan and Zhao, Qingyu},
  journal = {Medical Image Computing and Computer Assisted Intervention (MICCAI)},
  year = {2025},
}

J-BHI

Advancing Sleep Disorder Diagnostics: A Transformer-based EEG Model for Sleep Stage Classification and OSA Prediction

Cheng Wan, Micky C. Nnamdi, Wenqi Shi, and 3 more authors

IEEE Journal of Biomedical and Health Informatics, 2024

BHI Oral, 8% acceptance rate

Bib HTML

@article{wan2024sleep,
  title = {Advancing Sleep Disorder Diagnostics: A Transformer-based EEG Model for Sleep Stage Classification and OSA Prediction},
  author = {Wan, Cheng and Nnamdi, Micky C. and Shi, Wenqi and Smith, Benjamin and Purnell, Chad and Wang, May Dongmei},
  journal = {IEEE Journal of Biomedical and Health Informatics},
  year = {2024},
  note = {BHI Oral, 8% acceptance rate},
}

CVPR-W

Swift Parameter-free Attention Network for Efficient Super-Resolution

Cheng Wan^*, Hongyuan Yu^*, Zhiqi Li^*, and 5 more authors

In IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPR-W), 2024

Winner Award and Oral at NTIRE workshop

Bib HTML

@inproceedings{wan2024swift,
  title = {Swift Parameter-free Attention Network for Efficient Super-Resolution},
  author = {Wan, Cheng and Yu, Hongyuan and Li, Zhiqi and Chen, Yihang and Zou, Yajun and Liu, Yuqing and Yin, Xuanwu and Zuo, Kunlong},
  booktitle = {IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPR-W)},
  year = {2024},
  note = {Winner Award and Oral at NTIRE workshop},
}

ICASSP

A Multi-scenario Attention-based Generative Model for Personalized Blood Pressure Time Series Forecasting

Cheng Wan, Chenjie Xie, Longfei Liu, and 2 more authors

In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024

Bib HTML PDF

@inproceedings{wan2024multi,
  title = {A Multi-scenario Attention-based Generative Model for Personalized Blood Pressure Time Series Forecasting},
  author = {Wan, Cheng and Xie, Chenjie and Liu, Longfei and Wu, Dan and Li, Ye},
  booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year = {2024},
}