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]

  • Semantic Positive Pairs for Enhancing Visual Representation Learning of Instance Discrimination methods

    Alkhalefi, M. A. M. A. A., Leontidis, G., Zhong, M.
    Transactions on Machine Learning Research, vol. 2024, no. 4, pp. 1-17
    Contributions to Journals: Articles
    • [ONLINE]
    • [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.
    Working Papers: Preprint Papers
    • [ONLINE] DOI:
    • [OPEN ACCESS]

  • Masked Capsule Autoencoders

    Everett, M. A., Zhong, M., Leontidis, G.
    Working Papers: Preprint Papers
    • [ONLINE] DOI:
    • [OPEN ACCESS]

  • ProtoCaps: A Fast and Non-Iterative Capsule Network Routing Method

    Everett, M. A., Zhong, M., Leontidis, G.
    Transactions on Machine Learning Research, pp. 1-13
    Contributions to Journals: Articles
    • [OPEN ACCESS]
    • [ONLINE]

  • Nonintrusive Load Monitoring Based on Self-Supervised Learning

    Chen, S., Zhao, B., Zhong, M., Luan, W., Yu, Y.
    IEEE Transactions on Instrumentation and Measurement, vol. 72, 2507113
    Contributions to Journals: Articles
    • [ONLINE] DOI:
    • [ONLINE]

  • Lightweight deep learning methods for panoramic dental X-ray image segmentation

    Lin, S., Hao, X., Liu, Y., Yan, D., Liu, J., Zhong, M.
    Neural Computing and Applications
    Contributions to Journals: Articles
    • [ONLINE] DOI:
    • [OPEN ACCESS]
    • [ONLINE]

  • Causal Effect Estimation Using Variational Information Bottleneck

    Lu, Z., Cheng, Y., Zhong, M., Stoian, G., Yuan, Y., Wang, G.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
    • [ONLINE] DOI:
    • [ONLINE]

  • LightNILM: Lightweight neural network methods for non-intrusive load monitoring

    Lu, Z., Cheng, Y., Zhong, M., Luan, W., Ye, Y., Wang, G.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
    • [ONLINE] DOI:
    • [ONLINE]
    • [ONLINE]
    • [ONLINE]

  • A Text Multi-label Classification Scheme Based on Resampling and Ensemble Learning

    Wang, T., Weng, T., Ji, J., Zhong, M., Zhang, B.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
    • [ONLINE] DOI:
    • [ONLINE]

  • A Semantic Representation Scheme for Medical Dispute Judgment Documents Based on Elements Extraction

    An, S., Wang, T., Wang, L., Zhong, M., Zhang, B.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
    • [ONLINE] DOI:
    • [ONLINE]

  • Using Artificial Intelligence to Revolutionise the Patient Care Pathway in Hip and Knee Arthroplasty (ARCHERY): Protocol for the Development of a Clinical Prediction Model

    Farrow, L., Ashcroft, G. P., Zhong, M., Anderson, L.
    JMIR Research Protocols, vol. 11, no. 5, e37092
    Contributions to Journals: Articles
    • [ONLINE] DOI:
    • [OPEN ACCESS]
    • [ONLINE]

  • Interpretation and Reporting of Predictive or Diagnostic Machine Learning Research in Trauma & Orthopaedics

    Farrow, L., Zhong, M., Anderson, L., Ashcroft, G., Meek, R. M. D.
    Bone and Joint Journal, vol. 103B, no. 12, pp. 1754-1758
    Contributions to Journals: Articles
    • [ONLINE] DOI:
    • [OPEN ACCESS]

  • 面向变电设备金属锈蚀检测的分层嵌套标注方法

    Zhang, B., Cao, Y., Zhang, P., Zhang, Z., He, Y., Zhong, M.
    Journal of Southeast University (English Edition), vol. 37, no. 4, pp. 350-355
    Contributions to Journals: Articles
    • [ONLINE] DOI:
    • [ONLINE]

  • The IDEAL household energy dataset, electricity, gas, contextual sensor data and survey data for 255 UK homes

    Pullinger, M., Kilgour, J., Goddard, N., Berliner, N., Webb, L., Dzikovska, M., Lovell, H., Mann, J., Sutton, C., Webb, J., Zhong, M.
    Scientific Data, vol. 8, no. 1, 146
    Contributions to Journals: Articles
    • [ONLINE] DOI:
    • [OPEN ACCESS]

  • A Lightweight Neural Network for Energy Disaggregation Employing Depthwise Separable Convolution

    Zhang, R., Luan, W., Liu, B., Zhong, M.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
    • [ONLINE] DOI:
    • [ONLINE]
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