51cg

Dr Mingjun Zhong

Dr Mingjun Zhong
Dr Mingjun Zhong
Dr Mingjun Zhong

Lecturer

51cg

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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  • Neural Control Variates for Monte Carlo Variance Reduction

    Wan, R., Zhong, M., Xiong, H., Zhu, Z.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
  • A demonstration of reproducible state-of-the-art energy disaggregation using NILMTK

    Batra, N., Kukunuri, R., Pandey, A., Malakar, R., Kumar, R., Krystalakos, O., Zhong, M., Meira, P., Parson, O.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
  • Efficient Gradient-Free Variational Inference using Policy Search

    Arenz, O., Neumann, G., Zhong, M.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
  • Sequence-to-Point Learning with Neural Networks for Non-Intrusive Load Monitoring

    Zhang, C., Zhong, M., Wang, Z., Goddard, N., Sutton, C.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
  • Latent Bayesian melding for integrating individual and population models

    Zhong, M., Goddard, N., Sutton, C.
    Contributions to Journals: Conference Articles
  • Signal aggregate constraints in additive factorial HMMs, with application to energy disaggregation

    Zhong, M., Goddard, N., Sutton, C.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
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Chapters in Books, Reports and Conference Proceedings

Contributions to Journals

Working Papers