About Me

Research Scholar

I am currently a Ph.D. Candidate in the Department of Computer Science and Engineering at Sungkyunkwan University, advised by Prof. Tai-Myoung Chung and Prof. Hogun Park

  • Institution: Sungkyunkwan University
  • Title: Ph.D. Candidate
  • E-mail: jieming2021@skku.edu
  • Office: #85545 Room, Corporate Collaboration Center, Sungkyunkwan University
  • Contact: Click here for contact me

 

Research Interest

My research lies at the intersection of AI for Science, graph neural networks, computer vision, and biological signal processing and multi-modal data analysis, with a focus on clinical assessment and digital biomarker extraction for neurological and mental health disorders. I design deep learning frameworks that integrate spatiotemporal graph modeling, uncertainty-aware representation learning, and weakly-supervised temporal analysis to extract clinically meaningful features from heterogeneous and multi-modal clinical data.

My work aims to bridge the gap between AI methodology and real-world clinical deployment, with the ultimate goal of advancing intelligent, data-driven solutions for disease diagnosis, progression monitoring, clinical decision support, and digital therapeutics.

I am open to research discussion and collaboration, please feel free to get in touch!

News

  • 06/2026: One paper has been accepted to the 29th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2026, CCF-B)!
  • 03/2026: One paper has been accepted to the Engineering Applications of Artificial Intelligence journal (EAAI, Impact Factor: 9.0, JCR Q1, Journal Rank: Top 2.5%)!
  • 11/2025: One paper has been accepted to the 12th FDSE 2025 (Oral)!
  • 11/2025: One paper has been accepted to the Journal of Information Processing Systems!
  • 10/2025: One paper has been accepted to the 15th IEEE ICSET 2025 (Oral)!
  • 07/2025: One paper has been accepted to the KSII Transactions on Internet & Information Systems journal!
  • 01/2025: One paper has been accepted to the IEEE Access journal (Impact Factor: 4.2, JCR Q2)!
  • 09/2024: Awarded CSC scholarship!
  • 07/2024: Awarded 2024-Spring BK21+ research scholarship!
  • 11/2023: One paper has been accepted to the 10th FDSE 2023 (Oral)!
  • 05/2023: One paper has been accepted to the Sensors journal (Impact Factor: 4.0, JCR Q2)!
  • 12/2022: One paper has been accepted to the 19th IEEE UIC 2022 (CCF-C)!
  • 07/2021: Awarded Best Graduation Thesis Award (Top 2%) in Zhengzhou University!

Curriculum Vitae

Click Here to download my full CV.

Education

PH.D., Computer Science and Engineering

Aug. 2023 -- Mar. 2027

Sungkyunkwan University, Korea

Advisiors: Prof. Tai-Myoung Chung and Prof. Hogun Park

M.ENG., Computer Science and Engineering

Aug. 2021 -- Aug. 2023

Sungkyunkwan University, Korea

Advisiors: Prof. Tai-Myoung Chung and Prof. Joon-Hee Choi

B.Eng., Computer Science and Technology

Aug. 2017 -- Jul. 2021

Zhengzhou University, China

Advisor: Prof. Ling Ma

Experience

Research Intern

Jun. 2025 -- Dec. 2025

Hippo T&C Inc., Seoul, Korea

Visiting Student

Jul. 2018 - Aug. 2018

University of Wollongong, Northfields Ave Wollongong, Austrilia

Selected Publications

For a complete list, please refer to my CV.

† indicates equal contribution; * indicates corresponding author

[1] Jieming Zhang, Tai-Myoung Chung, Hogun Park*, KiGA: A Kinematic-Guided Dual-Branch Framework for Parkinson's Disease Assessment in Sit-to-Stand Tasks, Engineering Applications of Artificial Intelligence, 2026. (JCR Q1, IF: 9.0)
[2] Jieming Zhang, Tai-Myoung Chung, Hogun Park*, Uncertainty-Enhanced Spatiotemporal Framework for Sit-to-Stand Temporal Segmentation in Parkinson's Disease, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2026. (JCR Q1, IF: 5.2)
[3] Jieming Zhang, Tai-Myoung Chung, Hogun Park*, Weakly-Supervised Temporal Decomposition with Graph Convolutional Networks for Parkinsonian Turning Assessment, International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2026), 2026. (CCF-B)
[4] Jieming Zhang, Condition-Aware Knowledge Distillation in Graph Convolutional Networks for Parkinson's Disease Detection from Turning Activity, ACM/SIGAPP Symposium on Applied Computing (SAC 2026), ACM, 2026.
[5] Sungwook Hur†, Jieming Zhang†, Moon-Hyun Kim, Tai-Myoung Chung*, Real-World Parkinson's Hand Tremor Detection Using Ensemble Learning Techniques, IEEE Access, 2025. (JCR Q2, IF: 4.2)
[6] Jieming Zhang*, Sungwook Hur, Yongho Lee, Tai-Myoung Chung, Investigation on AI-Powered Digital Health in Parkinson's Disease Diagnosis, IEEE International Conference on System Engineering and Technology (ICSET 2025), IEEE, 2025. (Oral)
[7] Jieming Zhang, Jongmin Lim, Moon-Hyun Kim, Sungwook Hur, Tai-Myoung Chung*, WM-STGCN: A Novel Spatiotemporal Modeling Method for Parkinsonian Gait Recognition, Sensors, 2023. (JCR Q2, IF: 4.0)
[8] Jieming Zhang, Yongho Lee, Tai-Myoung Chung, Hogun Park*, Development of a Handwriting Drawings Assessment System for Early Parkinson's Disease Identification with Deep Learning Methods, International Conference on Future Data and Security Engineering (FDSE 2023), Springer Nature Singapore, 2023.
[9] Jieming Zhang, Tai-Myoung Chung*, An Improved YOLO V5 Model for Pulmonary Nodule Detection with Synthetic Data Generated by GAN, IEEE Conference on Ubiquitous Intelligence & Computing (UIC 2022), IEEE, 2022. (CCF-C)

Academic Services

Journal Reviewer: IEEE Transactions on Image Processing (TIP), Knowledge-Based Systems (KBS), Neurocomputing, Computers in Biology and Medicine (CIBM), KSII Transactions on Internet and Information Systems (KSII-TIIS), Nonlinear Dynamics

Conference Reviewer: International Joint Conference on Neural Networks (IJCNN 2025, IJCNN 2026), 15th IEEE Symposium on Computer Applications & Industrial Electronics, European Conference on Information Systems (ECIS 2025)

Resource

© Jieming Zhang (06/2026)