Selected recent publications:
Machine learning & computational intelligence
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Machine Learning and biomedical applications
- Y. Pang, H. Zhang, J. D. Deng, L. Peng and F. Teng, "Collaborative Learning With Heterogeneous Local Models: A Rule-Based Knowledge Fusion Approach," in IEEE Transactions on Knowledge and Data Engineering, doi: 10.1109/TKDE.2023.3341808, 2023.
- Y Yue, D De Ridder, P Manning, M Hall, D Adhia, J Deng. Discovering Functional Connectivity-Based Neural Signatures of Obesity via Dual-Layer Incremental Wrapper-Based Feature Selection, accepted by ICONIP'24.
- FN Fernando, JD Deng. Adaptive Population-Based Incremental Learning for Feature Selection in Leukemia Gene Expression Data, accepted by ICONIP'24.
- Y Yue, JD Deng, D De Ridder, P Manning. Variational Autoencoder Learns Better Feature Representations for EEG-based Obesity Classification, accepted by ICPR'2024. (arXiv)
- Y Yue, J Deng, T Chakrapoti, D De Ridder, P Manning. Unsupervised Hybrid Deep Feature Encoder for Robust Feature Learning from Resting-State EEG Data, IEEE EMBC'24, accepted.
- A Tetereva, J Li, J D Deng, A Stringaris, N Pat.
Capturing Brain-Cognition Relationship: Integrating Task-Based fMRI Across Tasks Markedly Boosts Prediction and Reliability and Reveals the Role of Frontoparietal Areas.
NeuroImage, 2022. bioRXiv
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- J Hou, X Ding, JD Deng, S Cranefield.
Deep adversarial transition learning using cross-grafted generative stacks. Neural Networks 149: 172-183 (2022) arXiv
- J Hou, JD Deng, S Cranefield, X Ding. Cross-domain latent modulation for variational transfer learning, Proc. WACV'2021. arXiv
- J Hou, JD Deng, S Cranefield, X Ding. Variational Transfer Learning using Cross-Domain Latent Modulation, arXiv, 2022.
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Image segmentation
- J Hou, X Ding, JD Deng. Semi-Supervised Semantic Segmentation of Vessel Images using Leaking Perturbations. WACV 2022: 1769-1778.
- X Gu, JD Deng, A multi-feature bipartite graph ensemble for image segmentation,
accepted by Pattern Recognition Letters, 2019 (doi)
- X. Gu, J. D. Deng, M. K. Purvis, Improving superpixel-based image segmentation by incorporating color covariance matrix Manifolds, Proc. ICIP'14 Paris. (Top 10% Paper)
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Video surveillance and anomaly detection
- H. Lin, J. D. Deng, D. Alberts, F. Wilhelm, Helmet use detection of tracked motorcycles using cnn-based multi-task learning, IEEE Access, 2020 (doi)
- H. Lin, J. D. Deng, B. J. Woodford, A. Shahi:
Online weighted clustering for real-time abnormal event detection in video surveillance. ACM Multimedia 2016: 536-540. (doi)
- H. Lin, J. D. Deng, B. J. Woodford, Anomaly detection in crowd scenes via online adaptive one-class support vector machines, Proc. ICIP'15 Quebec.
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Stochastic optimization and computational intelligence
- F-F Wei; W-N Chen; Q. Yang; J. Deng; X-N Luo; H. Jin; J. Zhang:
Classifier-assisted level-based learning swarm optimizer for expensive optimization.
IEEE Transactions on Evolutionary Computation, 25(2):219-233, IEEExplore
- Q. Liu; W-N Chen; J. D. Deng; T. Gu; H. Zhang; Z. Yu; J. Zhang.
Benchmarking stochastic algorithms for global optimization problems by visualizing confidence intervals,
IEEE Transactions on Cybernetics, 2017, 47(9):2924 - 2937. (doi)
- Q. Yang; W. N. Chen; J. D. Deng; Y. Li; J. Zhang, A level-based learning swarm optimizer for
large scale optimization, IEEE Transactions on Evolutionary Computation, 22:578-594, 2017.
(doi)
- Q. Yang; W-N Chen; T. Gu; H. Zhang; J. D. Deng; Y. Li; J. Zhang.
Segment-based predominant learning swarm optimizer for large-scale optimization,
IEEE Transactions on Cybernetics, 2017, 47(9):2896 - 2910. (doi)
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Other recent papers
- Kids Online Aotearoa: An objective protocol to study the nature and extent of children’s online world, JMIR Protocols, preprint, 7/2022.
- J. D. Deng, Online outlier detection of energy data streams using incremental and kernel PCA algorithms,
Proc. 2016 IEEE ICDM Workshops, December 12, Barcelona, pp.390-397. (doi)
- A. Shahi, J. D. Deng, B. Woodford, A streaning ensemble with multi-class imbalance learning for activity recognition, Proc. IEEE Inter. Joint Conf. on Neural Networks (IJCNN) 2017: 3983-3990.
(doi)
- S H-S Lee, J. D. Deng, L. Peng, M. K. Purvis, M. Purvis:
Top-k merit weighting PBIL for optimal coalition structure generation of smart grids. ICONIP (4) 2017: 171-181
(doi)
- A. Shahi, J. D. Deng, B. J. Woodford:
Online hidden conditional random fields to recognize activity-driven behavior using adaptive resilient gradient learning. ICONIP (1) 2017: 515-525
- M. Shah, J. D. Deng, B. J. Woodford:
A Self-adaptive CodeBook (SACB) model for real-time background subtraction. Image Vision Comput. 38: 52-64 (2015)
- J. D. Deng, C. Simmermacher and S. Cranefield. A study on feature analysis for musical instrument classification.
IEEE Trans. System, Man and Cybernetics - Part B, vol. 38, no. 2, pp.429-438, 2008.
[preprint]
- D. Deng, Content-based image collection summarization and comparison using self-organizing maps.
Pattern Recognition, 40:2, pp.718-727, 2007.
[doi]
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Performance modeling and mobile computing
- J. D. Deng, Performance Modelling of Synchronized Predictive Sensing for Clustered Wireless Sensor Networks, APCC'19, Ho Chi Minh City, 2019.
- S. Zareei, A. Sedigh, J. D. Deng, M. Purvis, Buffer management using integrated queueing models for mobile energy harvesting sensors, PIMRC'17, 2017.
- X-F Liu; Z-H Zhan; J. D. Deng; Y. Li; T. Gu; J. Zhang. An energy efficient ant colony system for virtual machine placement in cloud computing,
IEEE Transactions on Evolutionary Computation,
2016, online. (doi)
- Y. Xu, J. D. Deng, M. Nowostawski, M. K. Purvis,
Optimized routing for video streaming in multi-hop wireless networks using analytical capacity estimation,
ournal of Computer and System Sciences, 81(1): 145-157, 2015.
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