| 2025 | IJCAI | Efficient Quantum Approximate kNN Algorithm via Granular-Ball Computing. | Shuyin Xia, Xiaojiang Tian, Suzhen Yuan, Jeremiah D. Deng |
| 2024 | ICONIP | Adaptive Population-Based Incremental Learning for Feature Selection in Leukemia Gene Expression Data. | Eranga N. Fernando, Jeremiah D. Deng |
| 2024 | ICPR | Variational Autoencoder Learns Better Feature Representations for EEG-Based Obesity Classification. | Yuan Yue, Dirk De Ridder, Patrick Manning, Jeremiah D. Deng |
| 2022 | PAKDD | Rule-Based Collaborative Learning with Heterogeneous Local Learning Models. | Ying Pang, Haibo Zhang, Jeremiah D. Deng, Lizhi Peng, Fei Teng |
| 2022 | WACV | Semi-Supervised Semantic Segmentation of Vessel Images using Leaking Perturbations. | Jinyong Hou, Xuejie Ding, Jeremiah D. Deng |
| 2021 | WACV | Cross-Domain Latent Modulation for Variational Transfer Learning. | Jinyong Hou, Jeremiah D. Deng, Stephen Cranefield, Xuejie Ding |
| 2020 | IJCNN | Gender Classification of EEG Signals using a Motif Attribute Classification Ensemble. | Jean Li, Jeremiah D. Deng, Dirk De Ridder, Divya Adhia |
| 2019 | APCC | Performance Modelling of Synchronized Predictive Sensing for Clustered Wireless Sensor Networks. | Jeremiah D. Deng |
| 2018 | PAKDD | An Improved PBIL Algorithm for Optimal Coalition Structure Generation of Smart Grids. | Sean Hsin-Shyuan Lee, Jeremiah D. Deng, Martin K. Purvis, Maryam Purvis, Lizhi Peng |
| 2017 | ICONIP | Top-k Merit Weighting PBIL for Optimal Coalition Structure Generation of Smart Grids. | Sean Hsin-Shyuan Lee, Jeremiah D. Deng, Lizhi Peng, Martin K. Purvis, Maryam Purvis |
| 2017 | ICONIP | Online Hidden Conditional Random Fields to Recognize Activity-Driven Behavior Using Adaptive Resilient Gradient Learning. | Ahmad Shahi, Jeremiah D. Deng, Brendon J. Woodford |
| 2017 | IJCNN | A streaming ensemble classifier with multi-class imbalance learning for activity recognition. | Ahmad Shahi, Jeremiah D. Deng, Brendon J. Woodford |
| 2017 | PIMRC | Buffer management using integrated queueing models for mobile energy harvesting sensors. | Sophie Zareei, Amir Hosein Afshar Sedigh, Jeremiah D. Deng, Martin K. Purvis |
| 2016 | ICDM | Online Outlier Detection of Energy Data Streams Using Incremental and Kernel PCA Algorithms. | Jeremiah D. Deng |
| 2016 | ITNAC | Energy management policy for fitness gadgets: A case study of human daily routines. | Sepideh Zareei, Jeremiah D. Deng |
| 2016 | IVCNZ | A hierarchical segmentation tree for superpixel-based image segmentation. | Xianbin Gu, Jeremiah D. Deng, Martin K. Purvis |
| 2016 | PAKDD | Shot Boundary Detection Using Multi-instance Incremental and Decremental One-Class Support Vector Machine. | Hanhe Lin, Jeremiah D. Deng, Brendon J. Woodford |
| 2015 | ICIP | Anomaly detection in crowd scenes via online adaptive one-class support vector machines. | Hanhe Lin, Jeremiah D. Deng, Brendon J. Woodford |
| 2015 | IVCNZ | Ensemble classification with modified SIFT descriptor for medical image modality. | Sameer Khan, Suet-Peng Yong, Jeremiah D. Deng |
| 2014 | ICIP | Improving superpixel-based image segmentation by incorporating color covariance matrix manifolds. | Xianbin Gu, Jeremiah D. Deng, Martin K. Purvis |
| 2014 | IPCCC | Empirical capacity modeling and evaluation of delay tolerant network routing protocols. | Jeremiah D. Deng |
| 2014 | IVCNZ | Superpixel-based Segmentation using Multi-layer Bipartite Graphs and Grassmann Manifolds. | Xianbin Gu, Jeremiah D. Deng, Martin K. Purvis |
| 2014 | PRICAI | Analyzing Wind Speed Data through Markov Chain based Profiling and Clustering. | Jeremiah D. Deng, Hsin-Shyuan Lee, Cameron McMillan, Aysha P. Rimoni, Ming Zhang |
| 2014 | PRICAI | Spatial-Temporal Pyramid Matching for Crowd Scene Analysis. | Hanhe Lin, Jeremiah D. Deng, Brendon J. Woodford |
| 2013 | DCOSS | Trade-offs of Forecasting Algorithm for Extending WSN Lifetime in a Real-World Deployment. | Femi A. Aderohunmu, Giacomo Paci, Davide Brunelli, Jeremiah D. Deng, Luca Benini, Martin K. Purvis |
| 2013 | DCOSS | An Application-Specific Forecasting Algorithm for Extending WSN Lifetime. | Femi A. Aderohunmu, Giacomo Paci, Davide Brunelli, Jeremiah D. Deng, Luca Benini, Martin K. Purvis |
| 2013 | ICIP | Improving Mixture of Gaussians background model through adaptive learning and Spatio-Temporal voting. | Munir Shah, Jeremiah D. Deng, Brendon J. Woodford |
| 2012 | ACCV | Illumination Invariant Background Model Using Mixture of Gaussians and SURF Features. | Munir Shah, Jeremiah D. Deng, Brendon J. Woodford |
| 2012 | HPCC | Optimization of Energy-efficient Protocols with Energy-heterogeneity for Coverage Preservation in Wireless Sensor Networks: An Empirical Study. | Femi A. Aderohunmu, Jeremiah D. Deng, Martin K. Purvis |
| 2012 | HPCC | Optimizing Routing in Multi-hop Wireless Networks Using Analytical Capacity Estimation: A Study on Video Streaming. | Yuwei Xu, Jeremiah D. Deng, Mariusz Nowostawski |
| 2012 | IJCNN | Key-frame extraction of wildlife video based on semantic context modeling. | Suet-Peng Yong, Jeremiah D. Deng, Martin K. Purvis |
| 2012 | IVCNZ | Video manifold modelling: finding the right parameter settings for anomaly detection. | Hanhe Lin, Jeremiah D. Deng, Brendon J. Woodford |
| 2012 | IVCNZ | Enhancing the mixture of Gaussians background model with local matching and local adaptive learning. | Munir Shah, Jeremiah D. Deng, Brendon J. Woodford |
| 2011 | ICONIP | Enhanced Codebook Model for Real-Time Background Subtraction. | Munir Shah, Jeremiah D. Deng, Brendon J. Woodford |