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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  • 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]

  • Load Disaggregation Based on Sequence-to-point Network with Unsupervised Pre-training

    Chen, S., Zhao, B., Luan, W., Zhong, M.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
    • [ONLINE] DOI:
    • [ONLINE]

  • Lightweight Non-Intrusive Load Monitoring Employing Pruned Sequence-to-Point Learning

    Barber, J., Cuayáhuitl, H., Zhong, M., Luan, W.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
    • [ONLINE] DOI:
    • [ONLINE]

  • Trust-region variational inference with gaussian mixture models

    Arenz, O., Zhong, M., Neumann, G.
    Journal of Machine Learning Research, vol. 21, no. 1, pp. 1-60
    Contributions to Journals: Articles
    • [ONLINE] DOI:
    • [OPEN ACCESS]
    • [ONLINE]

  • AREA: An adaptive reference-set based evolutionary algorithm for multiobjective optimisation

    Jiang, S., Li, H., Guo, J., Zhong, M., Yang, S., Kaiser, M., Krasnogor, N.
    Information Sciences, vol. 515, pp. 365-387
    Contributions to Journals: Articles
    • [ONLINE] DOI:
    • [ONLINE]

  • Transfer Learning for Non-Intrusive Load Monitoring

    D'Incecco, M., Squartini, S., Zhong, M.
    IEEE Transactions on Smart Grid, vol. 11, no. 2, pp. 1419-1429
    Contributions to Journals: Articles
    • [ONLINE] DOI:
    • [ONLINE]
    • [ONLINE]
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