Jian Sun

Jian Sun

Machine Learning | Computer Vision | Natural Language Processing

Publications

You can also find my articles on my Google Scholar profile.

Contrastive learning-based video quality assessment-jointed video vision transformer for video recognition

Published in Neural Computing and Applications, 2026

This project proposes SSL-V3 to predict Mild Cognitive Impairment in the early stage and from I-CONECT Study videos and detect violence from Hockey video.

Recommended citation: Sun, J., Mahoor, M. Contrastive learning-based video quality assessment-jointed video vision transformer for video recognition. Neural Comput & Applic 38, 107 (2026).
Download Paper | Download Slides

A Review of Deep Learning Approaches for Non-Invasive Cognitive Impairment Detection

Published in IEEE Access, 2025

This review paper explores recent advances in deep learning approaches for non-invasive cognitive impairment detection.

Recommended citation: M. Alsuhaibani, A. Pourramezan Fard, J. Sun, F. Far Poor, P. S. Pressman and M. H. Mahoor, "A Review of Machine Learning Approaches for Non-Invasive Cognitive Impairment Detection," in IEEE Access, vol. 13, pp. 56355-56384, 2025, doi: 10.1109/ACCESS.2025.3555176.
Download Paper

Data Quality Matters: Suicide Intention Detection on Social Media Posts Using RoBERTa-CNN

Published in 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE EMBC 2024), 2024

This project is to do Suicide Intention Detection (SID) by RoBERTa-CNN on the online corpus dataset.

Recommended citation: E. Lin, J. Sun, H. Chen and M. H. Mahoor, "Data Quality Matters: Suicide Intention Detection on Social Media Posts Using RoBERTa-CNN," 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, FL, USA, 2024, pp. 1-5, doi: 10.1109/EMBC53108.2024.10782647.
Download Paper

MC-ViViT: Multi-branch classifier-ViViT to detect mild cognitive impairment in older adults using facial videos

Published in Expert Systems with Applications, 2024

This project proposes MC-ViViT to predict Mild Cognitive Impairment in the early stage from I-CONECT Study videos.

Recommended citation: Sun, J., Dodge, H. H., & Mahoor, M. H. (2024). MC-ViViT: Multi-branch classifier-ViViT to detect mild cognitive impairment in older adults using facial videos. Expert Systems with Applications, 238, 121929.
Download Paper | Download Slides