Dr Mingjun Zhong
Lecturer
- About
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- Email Address
- mingjun.zhong@abdn.ac.uk
- School/Department
- School of Natural and Computing Sciences
Memberships and Affiliations
- Internal Memberships
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- Currently I am serving as an Exam Officer 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:- Health care data.
- Non-intrusive load monitoring (energy disaggregation).
- Spectroscopy data.
- EEG and fMRI.
- Variational inference
- Markov chain Monte Carlo
- High-dimentional inference
- Variance reduction
- Intractable likelihood models
- Bayesian matrix factorization
- Teaching
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Teaching Responsibilities
I am teaching the following courses (20/21):
- CS4048/5059 Robotics
- CS5062 Machine Learning
- CS551J Knowlege Representation and Reasoning
- Publications
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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. 21Contributions to Journals: Articles- [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