Dr Mingjun Zhong
Lecturer
- About
-
- Email Address
- mingjun.zhong@abdn.ac.uk
- School/Department
- School of Natural and Computing Sciences
Memberships and Affiliations
- Internal Memberships
-
- Currently I am serving as an Exam Officer 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:- 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
-
Teaching Responsibilities
I am teaching the following courses (20/21):
- CS4048/5059 Robotics
- CS5062 Machine Learning
- CS551J Knowlege Representation and Reasoning
- Publications
-
Page 1 of 3 Results 1 to 10 of 27
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, 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: ArticlesCausal 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