51cg

People

Dr Mingjun Zhong

Dr Mingjun Zhong
Dr Mingjun Zhong
Dr Mingjun Zhong

Lecturer

51cg
Email Address
mingjun.zhong@abdn.ac.uk
School/Department
School of Natural and Computing Sciences

Biography

I have been a Lecturer in Machine Learning at the Department of Computing Science at the 51cg since June 2020. 

My research interests include Machine Learning, Data Science, Data Engineering, Computational Statistics, Computational Sustainability, Machine Learning for Medical Science, etc. If you want to explore more about my research, please check My Publications.

Memberships and Affiliations

Internal Memberships
  • Currently, I am serving as the director of the MSc IT programme and a Tutor.
External Memberships
  • I serve as an Associate Editor for the journal Neural Processing Letters.
  • I serve as a Review Editor for the journal Frontiers in Applied Mathematics and Statistics (Statistics section).

     

  • I am a FHEA (Fellow of the Higher Education Academy)
  • I review grants for multiple funding bodies, a variety of international journals and several prestigious machine learning and artifial intellegence conferences. 
Research

Research Overview

My research interests are mainly (application-driven) machine learning and computational statistics. My research mission is to understand patterns and phenomena observed in real-world data by devising probabilistic and statistical machine learning methodologies.

Current Research

Currently I am working on the following application domains and inferential machine learning algorithms:
  1. Healthcare data
  2. Energy Efficiency
  3. Spectroscopy data
  4. Data Engineering
  5. Foundation Models
  6. Self-Supervised Learning
  7. Causal Inference
  8. Markov chain Monte Carlo

Supervision

I have been supervising a number of PhD students.

Teaching

Teaching Responsibilities

I am teaching the following courses

2025-2026:

  • CS5062 Machine Learning
  • CS5079 Applied AI
  • CS4042 Data Engineering
  • CS4049 Introduction to Machine Learning and Data Mining
  • CS3524 Distributed Systems and Security
  • CS551R & CS5942 MSc IT project

2024-2025:

  • CS5062 Machine Learning
  • CS5079 Applied AI
  • CS4048 Robotics
  • CS3524 Distributed Systems and Security
  • CS551Q Enterprise Software Development
  • CS551R & CS5942 MSc IT project
Publications

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  • DSCF: Dual-Source Counterfactual Fusion for High-Dimensional Combinatorial Interventions

    Dou, J., Luo, L., Zhu, B., Luo, H., Zhong, M., Cheng, Y.
    Contributions to Journals: Conference Articles
    • [ONLINE] DOI:
    • [OPEN ACCESS]

  • From Picture Archiving and Communication System to AI production: development of a preprocessing pipeline for musculoskeletal radiological images from real-world data sources results from the AI to Revolutionize the patient Care pathway in Hip and knEe aRthroplastY (ARCHERY) project

    Farrow, L., Zhong, M., Wilde, K., Anderson, L.
    Bone and Joint Open, vol. 7, no. 3, pp. 309-315
    Contributions to Journals: Articles
    • [ONLINE] DOI:
    • [OPEN ACCESS]
    • [ONLINE]

  • Capsule Network Projectors are Equivariant and Invariant Learners

    Everett, M., Durrant, A., Zhong, M., Leontidis, G.
    Transactions on Machine Learning Research, vol. 2025, no. 10, 4991
    Contributions to Journals: Articles
    • [ONLINE]
    • [OPEN ACCESS]

  • OmniNet: An Expandable Causal Inference Network for Multiple Modalities

    Zhou, Y., Leontidis, G., Zhong, M.
    Neural Computing and Applications, vol. 37, no. 19, pp. 13749–13763
    Contributions to Journals: Articles
    • [ONLINE] DOI:
    • [OPEN ACCESS]

  • Multisource Domain Adaptation for Nonintrusive Load Monitoring Through Data Distillation

    Luan, W., Zhang, R., Liu, B., Zhong, M., Li, K.
    IEEE Transactions on Instrumentation and Measurement, vol. 74, 2521611
    Contributions to Journals: Articles
    • [ONLINE] DOI:
    • [ONLINE]

  • Managing class imbalance in the training of a large language model to predict patient selection for total knee arthroplasty: Results from the Artificial intelligence to Revolutionise the patient Care pathway in Hip and knEe aRthroplastY (ARCHERY) project

    Farrow, L., Anderson, L., Zhong, M.
    Knee, vol. 54, pp. 1-8
    Contributions to Journals: Articles
    • [ONLINE]
    • [ONLINE] DOI:
    • [OPEN ACCESS]

  • A systematic review of natural language processing applications in Trauma & Orthopaedics

    Farrow, L., Raja, A., Zhong, M., Anderson, L.
    Bone and Joint Open, vol. 6, no. 3, pp. 264-274
    Contributions to Journals: Review articles
    • [ONLINE] DOI:
    • [OPEN ACCESS]
    • [ONLINE]

  • Masked Capsule Autoencoders

    Everett, M., Zhong, M., Leontidis, G.
    Transactions on Machine Learning Research, pp. 1-15
    Contributions to Journals: Articles
    • [ONLINE]
    • [OPEN ACCESS]
    • [ONLINE]

  • Exploring the use of biphasic quantitative thoracic computed tomography to evaluate halo-pelvic traction in managing severe adolescent idiopathic scoliosis

    Zhou, J., Zhao, Z., Cai, Q., Zhong, M.
    Quantitative Imaging in Medicine and Surgery, vol. 14, no. 12, pp. 8429-8442
    Contributions to Journals: Articles
    • [ONLINE] DOI:
    • [OPEN ACCESS]
    • [ONLINE]

  • LeOCLR: Leveraging Original Images for Contrastive Learning of Visual Representations

    Alkhalefi, M. A. M. A. A., Leontidis, G., Zhong, M.
    Transactions on Machine Learning Research, pp. 1-16
    Contributions to Journals: Articles
    • [OPEN ACCESS]
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