ABOUT ME

Jinfeng Wang

Also known as Jacob

Lecturer (Assistant Professor) · Researcher in Medical AI

Kunming University of Science and Technology ↗

I am Jinfeng Wang (Jacob), a Lecturer (Assistant Professor) in the Faculty of Information Engineering and Automation at Kunming University of Science and Technology, and a Visiting Scholar with the MIRACLE research group at the University of Science and Technology of China (USTC).

I earned my Master’s in Artificial Intelligence with Distinction from King’s College London (KCL) in 2020, under the supervision of Prof. Peter McBurney. In 2024, I received my PhD in Mathematical Sciences from the University of Liverpool, conducting my doctoral research at Xi’an Jiaotong-Liverpool University under the supervision of Prof. Jionglong Su and Prof. Jia Meng.

During my PhD, I was a Visiting Doctoral Student (October 2022–July 2024) at the MIRACLE laboratory, USTC Suzhou Institute for Advanced Research, supervised by Prof. S. Kevin Zhou.

My research interests include medical image analysis and segmentation, self-supervised representation learning, multimodal medical AI, EEG decoding and brain–computer interfaces, medical embodied intelligence, and exoskeletons for rehabilitation.

News

2026.10

ContiLNN is now available on arXiv, and the code is open source.

He, J., Liu, E., Song, S., Jin, P., Su, J., Wang, H., Lu, Z., Huang, Y., Cai, A., Jiang, Z., Ding, J., Zhou, S. K., and Wang, J. (2026). ContiLNN: Mitigating Slice Sampling Discontinuity with Liquid Neural Networks for Medical Image Restoration. arXiv preprint arXiv:2610.12337.

Open-source code ↗

2026

Organizing the First Workshop on Agentic Medical AI (AMAI) at IEEE BIBM 2026.

2026

Lu, Z., Liu, X., Song, S., Ji, C., Nguyen, A., Su, J., Razzak, I., and Wang, J. (2026). TAVR-VLM: Risk-Conditioned Causal Grounding for Hallucination-Resistant Report Generation. Medical Image Computing and Computer Assisted Intervention (MICCAI), 2026. Accepted.

2026

Lu, Z.*, Liu, X.*, Wang, J., Zhou, M., Nguyen, A., Su, J., Razzak, I., and Song, S. (2026). MedTriage-LM: Anatomically Grounded Visual Phenotype Synthesis for Interpretable ED Triage. Medical Image Computing and Computer Assisted Intervention (MICCAI), 2026. Accepted.

2025

Wang, J.*, Huang, Y.*, Song, S., Wang, B., Su, J., and Ding, J. (2025). A Novel Fourier Adjacency Transformer for Advanced EEG Emotion Recognition. Medical Image Computing and Computer Assisted Intervention (MICCAI), pp. 13-23.

Selected publications

Selected peer-reviewed papers and workshop contributions. * Equal contribution.

2026

TAVR-VLM: Risk-Conditioned Causal Grounding for Hallucination-Resistant Report Generation

Lu, Z., Liu, X., Song, S., Ji, C., Nguyen, A., Su, J., Razzak, I., and Wang, J.

Medical Image Computing and Computer Assisted Intervention (MICCAI), 2026. Accepted.

Read paper ↗

2026

MedTriage-LM: Anatomically Grounded Visual Phenotype Synthesis for Interpretable ED Triage

Lu, Z.*, Liu, X.*, Wang, J., Zhou, M., Nguyen, A., Su, J., Razzak, I., and Song, S.

Medical Image Computing and Computer Assisted Intervention (MICCAI), 2026. Accepted.

2025

A Novel Fourier Adjacency Transformer for Advanced EEG Emotion Recognition

Wang, J.*, Huang, Y.*, Song, S., Wang, B., Su, J., and Ding, J.

Medical Image Computing and Computer Assisted Intervention (MICCAI), pp. 13-23.

Read paper ↗

2024

Distortion-Disentangled Contrastive Learning

Wang, J.*, Song, S.*, Su, J., and Zhou, S. K.

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 75-85. Oral presentation.

Read paper ↗

2024

DualStreamFoveaNet: A Dual Stream Fusion Architecture With Anatomical Awareness for Robust Fovea Localization

Song, S., Wang, J., Wang, Z., Wang, H., Su, J., Ding, X., and Dang, K.

IEEE Journal of Biomedical and Health Informatics, 28(12), 7217-7229.

Read paper ↗

2023

A Robust Framework of Chromosome Straightening with ViT-Patch GAN

Song, S.*, Wang, J.*, Cheng, F.*, Cao, Q., Zuo, Y., Lei, Y., Yang, R., Yang, C., Coenen, F., Meng, J., Dang, K., and Su, J.

IEEE International Symposium on Biomedical Imaging (ISBI), pp. 1-5.

2022

Stepwise Feature Fusion: Local Guides Global

Wang, J., Huang, Q., Tang, F., Meng, J., Su, J., and Song, S.

Medical Image Computing and Computer Assisted Intervention (MICCAI), pp. 110-120.

Read paper ↗

2024

ProMISe: Promptable Medical Image Segmentation using SAM

Wang, J.*, Song, S.*, Wang, X.*, Wang, Y.*, Miao, Y., Su, J., and Zhou, S. K.

AIM-FM Workshop at NeurIPS 2024.

Read paper ↗

Manuscripts under review

ContiLNN: Mitigating Slice Sampling Discontinuity with Liquid Neural Networks for Medical Image Restoration

Under review · Corresponding author: Jinfeng Wang

NeuroMem: EEG-state memory for calibration-efficient non-invasive brain-state monitoring

Under review · Corresponding author: Jinfeng Wang

Academic service

IEEE BIBM 2026 / AMAI

Workshop Organizer

The First Workshop on Agentic Medical AI

Workshop website ↗

Journal reviewing

IEEE Journal of Biomedical and Health Informatics; Artificial Intelligence in Medicine

Conference reviewing

CVPR · AAAI · ECCV · NeurIPS · MICCAI · BIBM · WACV

Committee service

ICBIP 2024 organising committee; CSIG Young Scientists Conference

Get in touch

For research and academic enquiries, please contact me by email.

Jf.Jacob.Wang@gmail.com ↗