@article{wan2026agldm,title={Anatomically Guided Latent Diffusion for Brain MRI Progression Modeling},author={Wan, Cheng and Jafrasteh, Bahram and Adeli, Ehsan and Zhang, Miaomiao and Zhao, Qingyu},journal={arXiv preprint arXiv:2601.14584},year={2026},}
MIDL
Synthetic Vasculature and Pathology Enhance Vision-Language Model Reasoning
Chenjun Li, Cheng Wan, Laurin Lux, Alexander Berger, Richard B. Rosen, Martin J. Menten, and Johannes C. Paetzold
@inproceedings{li2026svr,title={Synthetic Vasculature and Pathology Enhance Vision-Language Model Reasoning},author={Li, Chenjun and Wan, Cheng and Lux, Laurin and Berger, Alexander and Rosen, Richard B. and Menten, Martin J. and Paetzold, Johannes C.},booktitle={Medical Imaging with Deep Learning (MIDL)},year={2026},note={Spotlight},}
2025
MICCAI
WASABI: A Metric for Evaluating Morphometric Plausibility of Synthetic Brain MRIs
@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},}
ICASSP
A Multi-scenario Attention-based Generative Model for Personalized Blood Pressure Time Series Forecasting
Cheng Wan, Chenjie Xie, Longfei Liu, Dan Wu, and Ye Li
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025
@inproceedings{wan2025multi,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={2025},}
Neurocomputing
HyCTAS: Multi-Objective Hybrid Convolution-Transformer Architecture Search for Real-Time Image Segmentation
Hongyuan Yu, Cheng Wan, Xiyang Dai, Mengchen Liu, Dongdong Chen, Bin Xiao, Yan Huang, Yuan Lu, and Liang Wang
@article{yu2025hyctas,title={HyCTAS: Multi-Objective Hybrid Convolution-Transformer Architecture Search for Real-Time Image Segmentation},author={Yu, Hongyuan and Wan, Cheng and Dai, Xiyang and Liu, Mengchen and Chen, Dongdong and Xiao, Bin and Huang, Yan and Lu, Yuan and Wang, Liang},journal={Neurocomputing},year={2025},}
BCB
KindSleep: Knowledge-Informed Diagnosis of Obstructive Sleep Apnea from Oximetry
Micky C. Nnamdi, Wenqi Shi, Cheng Wan, J. Ben Tamo, Benjamin M. Smith, Chad A. Purnell, and May Dongmei Wang
ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (BCB), 2025
@inproceedings{nnamdi2025kindsleep,title={KindSleep: Knowledge-Informed Diagnosis of Obstructive Sleep Apnea from Oximetry},author={Nnamdi, Micky C. and Shi, Wenqi and Wan, Cheng and Tamo, J. Ben and Smith, Benjamin M. and Purnell, Chad A. and Wang, May Dongmei},booktitle={ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (BCB)},year={2025},}
arXiv
PRISM-Bench: A Benchmark of Puzzle-Based Visual Tasks with CoT Error Detection
Yusu Qian*, Cheng Wan*, Chao Jia, Yinfei Yang, Qingyu Zhao, and Zhe Gan
@article{qian2024prism,title={PRISM-Bench: A Benchmark of Puzzle-Based Visual Tasks with CoT Error Detection},author={Qian, Yusu and Wan, Cheng and Jia, Chao and Yang, Yinfei and Zhao, Qingyu and Gan, Zhe},journal={arXiv preprint arXiv:2510.23594},year={2025},}
2024
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, Benjamin Smith, Chad Purnell, and May Dongmei Wang
IEEE Journal of Biomedical and Health Informatics (J-BHI), 2024
@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 (J-BHI)},year={2024},note={BHI Oral, 8% acceptance rate},}
BIBM
ECG-LLM: Leveraging Large Language Models for Low-Quality ECG Signal Restoration
Longfei Liu, Guosheng Cui, Cheng Wan, Dan Wu, and Ye Li
IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024
@inproceedings{liu2024ecg,title={ECG-LLM: Leveraging Large Language Models for Low-Quality ECG Signal Restoration},author={Liu, Longfei and Cui, Guosheng and Wan, Cheng and Wu, Dan and Li, Ye},booktitle={IEEE International Conference on Bioinformatics and Biomedicine (BIBM)},year={2024},}
CVPR-W
Swift Parameter-free Attention Network for Efficient Super-Resolution
@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},}
arXiv
Unveiling Linear Mode Connectivity of Re-basin from Neuron Distribution Perspective
@article{li2024nonconnectivity,title={Unveiling Linear Mode Connectivity of Re-basin from Neuron Distribution Perspective},author={Li, Zhiqi and Li, Zexi and Wu, Mian and Wan, Cheng and Wu, Chao},journal={arXiv preprint},year={2024},}
