Lecturer
- About
-
- 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 University of Aberdeen 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
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- Currently, I am serving as the director of the MSc IT programme and a Tutor.
- External Memberships
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- 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
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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:- Healthcare data
- Energy Efficiency
- Spectroscopy data
- Data Engineering
- Foundation Models
- Self-Supervised Learning
- Causal Inference
- Markov chain Monte Carlo
Supervision
I have been supervising a number of PhD students.
- Teaching
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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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LeOCLR: Leveraging Original Images for Contrastive Learning of Visual Representations
Working Papers: Preprint PapersMasked Capsule Autoencoders
Working Papers: Preprint PapersProtoCaps: A Fast and Non-Iterative Capsule Network Routing Method
Transactions on Machine Learning Research, pp. 1-13Contributions to Journals: ArticlesNonintrusive Load Monitoring Based on Self-Supervised Learning
IEEE Transactions on Instrumentation and Measurement, vol. 72, 2507113Contributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.1109/TIM.2023.3246504
- [ONLINE] View publication in Scopus
Lightweight deep learning methods for panoramic dental X-ray image segmentation
Neural Computing and ApplicationsContributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.1007/s00521-022-08102-7
- [OPEN ACCESS] http://aura.abdn.ac.uk/bitstreams/43bb532d-354b-43f4-aa19-843631c81b70/download
- [ONLINE] View publication in Scopus
Causal Effect Estimation Using Variational Information Bottleneck
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1007/978-3-031-20309-1_25
- [ONLINE] View publication in Scopus
LightNILM: Lightweight neural network methods for non-intrusive load monitoring
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1145/3563357.3566152
- [ONLINE] View publication in Scopus
- [ONLINE] http://nilmworkshop.org/2022/proceedings/nilm22-final65.pdf
- [ONLINE] NILM Workshop 2022
A Text Multi-label Classification Scheme Based on Resampling and Ensemble Learning
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1007/978-3-031-06761-7_6
- [ONLINE] View publication in Scopus
A Semantic Representation Scheme for Medical Dispute Judgment Documents Based on Elements Extraction
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1007/978-3-031-06788-4_34
- [ONLINE] View publication in Scopus
Using Artificial Intelligence to Revolutionise the Patient Care Pathway in Hip and Knee Arthroplasty (ARCHERY): Protocol for the Development of a Clinical Prediction Model
JMIR Research Protocols, vol. 11, no. 5, e37092Contributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.2196/37092
- [OPEN ACCESS] http://aura.abdn.ac.uk/bitstreams/7d0ce7ec-e604-4905-a069-3096f1262d28/download
- [ONLINE] View publication in Scopus