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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Page 1 of 1 Results 1 to 35 of 35
DSCF: Dual-Source Counterfactual Fusion for High-Dimensional Combinatorial Interventions
Contributions to Conferences: PapersCapsule Network Projectors are Equivariant and Invariant Learners
Transactions on Machine Learning Research, pp. 1-18Contributions to Journals: ArticlesOmniNet: An Expandable Causal Inference Network for Multiple Modalities
Neural Computing and Applications, vol. 37, no. 19, pp. 13749–13763Contributions to Journals: ArticlesMultisource Domain Adaptation for Nonintrusive Load Monitoring Through Data Distillation
IEEE Transactions on Instrumentation and Measurement, vol. 74, 2521611Contributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.1109/TIM.2025.3551567
- [ONLINE] View publication in Scopus
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
Knee, vol. 54, pp. 1-8Contributions to Journals: ArticlesA systematic review of natural language processing applications in Trauma & Orthopaedics
Bone and Joint Open, vol. 6, no. 3, pp. 264-274Contributions to Journals: Review articlesMasked Capsule Autoencoders
Transactions on Machine Learning Research, pp. 1-15Contributions to Journals: ArticlesExploring the use of biphasic quantitative thoracic computed tomography to evaluate halo-pelvic traction in managing severe adolescent idiopathic scoliosis
Quantitative Imaging in Medicine and Surgery, vol. 14, no. 12, pp. 8429-8442Contributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.21037/qims-24-568
- [OPEN ACCESS] http://aura.abdn.ac.uk/bitstreams/6649f238-0896-4284-84a9-27ed30879cf2/download
- [ONLINE] View publication in Scopus
LeOCLR: Leveraging Original Images for Contrastive Learning of Visual Representations
Transactions on Machine Learning Research, pp. 1-16Contributions to Journals: ArticlesSemantic Positive Pairs for Enhancing Visual Representation Learning of Instance Discrimination methods
Transactions on Machine Learning Research, vol. 2024, no. 4, pp. 1-17Contributions to Journals: ArticlesLeOCLR: 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
Interpretation and Reporting of Predictive or Diagnostic Machine Learning Research in Trauma & Orthopaedics
Bone and Joint Journal, vol. 103B, no. 12, pp. 1754-1758Contributions to Journals: Articles面向变电设备金属锈蚀检测的分层嵌套标注方法
Journal of Southeast University (English Edition), vol. 37, no. 4, pp. 350-355Contributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.3969/j.issn.1003-7985.2021.04.002
- [ONLINE] View publication in Scopus
The IDEAL household energy dataset, electricity, gas, contextual sensor data and survey data for 255 UK homes
Scientific Data, vol. 8, no. 1, 146Contributions to Journals: ArticlesA Lightweight Neural Network for Energy Disaggregation Employing Depthwise Separable Convolution
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1109/iSPEC53008.2021.9735713
- [ONLINE] View publication in Scopus
Load Disaggregation Based on Sequence-to-point Network with Unsupervised Pre-training
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1109/EI252483.2021.9713549
- [ONLINE] View publication in Scopus
Lightweight Non-Intrusive Load Monitoring Employing Pruned Sequence-to-Point Learning
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1145/3427771.3427845
- [ONLINE] View publication in Scopus
Trust-region variational inference with gaussian mixture models
Journal of Machine Learning Research, vol. 21, no. 1, pp. 1-60Contributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.5555/3455716.3455879
- [OPEN ACCESS] http://aura.abdn.ac.uk/bitstreams/db8ebed2-d6f8-492e-bd1d-d4829202681d/download
- [ONLINE] View publication in Scopus
AREA: An adaptive reference-set based evolutionary algorithm for multiobjective optimisation
Information Sciences, vol. 515, pp. 365-387Contributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.1016/j.ins.2019.12.011
- [ONLINE] View publication in Scopus
Transfer Learning for Non-Intrusive Load Monitoring
IEEE Transactions on Smart Grid, vol. 11, no. 2, pp. 1419-1429Contributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.1109/TSG.2019.2938068
- [ONLINE] University of Lincoln Repository
- [ONLINE] View publication in Scopus
Neural Control Variates for Monte Carlo Variance Reduction
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1007/978-3-030-46147-8_32
- [ONLINE] View publication in Scopus
A demonstration of reproducible state-of-the-art energy disaggregation using NILMTK
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1145/3360322.3360999
- [ONLINE] View publication in Scopus
Efficient Gradient-Free Variational Inference using Policy Search
Chapters in Books, Reports and Conference Proceedings: Conference ProceedingsSequence-to-Point Learning with Neural Networks for Non-Intrusive Load Monitoring
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1609/aaai.v32i1.11873
- [ONLINE] View publication in Scopus
Latent Bayesian melding for integrating individual and population models
Contributions to Journals: Conference ArticlesSignal aggregate constraints in additive factorial HMMs, with application to energy disaggregation
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings