A low complexity hybrid algorithm for robust iterative multiuser detection. - Duc Son Pham 001; Abdelhak M. Zoubir (ICASSP (4), 2003)

Sequential M-estimation. - Duc Son Pham 001; Yee Hong Leung; Abdelhak M. Zoubir; Ramon Brcic (ICASSP (2), 2004)

An Optimisation Approach to Robust Estimation of Multicomponent Polynomial Phase Signals in Non-Gaussian Noise. - Duc Son Pham 001; Yee Hong Leung; Kok Lay Teo; Abdelhak M. Zoubir (APCCAS, 2006)

Analysis of Multicomponent Polynomial Phase Signals. - Duc Son Pham 001; Abdelhak M. Zoubir (IEEE Trans. Signal Process., 2007)

A Nonlinear M-Estimation Approach to Robust Asynchronous Multiuser Detection in Non-Gaussian Noise. - Duc Son Pham 001; Abdelhak M. Zoubir; Ramon F. Brcich; Yee Hong Leung (IEEE Trans. Signal Process., 2007)

Robust learning of discriminative projection for multicategory classification on the Stiefel manifold. - Duc-Son Pham 001; Svetha Venkatesh (CVPR, 2008)

Joint learning and dictionary construction for pattern recognition. - Duc-Son Pham 001; Svetha Venkatesh (CVPR, 2008)

Estimation of Multicomponent Polynomial Phase Signals With Missing Observations. - Duc Son Pham 001; Abdelhak M. Zoubir (IEEE Trans. Signal Process., 2008)

Effective Anomaly Detection in Sensor Networks Data Streams. - Budhaditya Saha; Duc-Son Pham 001; Mihai M. Lazarescu; Svetha Venkatesh (ICDM, 2009)

A Fast Extension for Sparse Representation on Robust Face Recognition. - Huining Qiu; Duc-Son Pham 001; Svetha Venkatesh; Wanquan Liu; Jian-Huang Lai (ICPR, 2010)

Bayesian Minimax Estimation of the Normal Model With Incomplete Prior Covariance Matrix Specification. - Duc-Son Pham 001; Hung Hai Bui; Svetha Venkatesh (IEEE Trans. Inf. Theory, 2010)

Supervised Subspace Learning with Multi-class Lagrangian SVM on the Grassmann Manifold. - Duc-Son Pham 001; Svetha Venkatesh (Australasian Conference on Artificial Intelligence, 2011)

Detection of Cross-Channel Anomalies from Multiple Data Channels. - Duc-Son Pham 001; Budhaditya Saha; Dinh Q. Phung; Svetha Venkatesh (ICDM, 2011)

Improved subspace clustering via exploitation of spatial constraints. - Duc-Son Pham 001; Budhaditya Saha; Dinh Q. Phung; Svetha Venkatesh (CVPR, 2012)

Sparse Subspace Representation for Spectral Document Clustering. - Budhaditya Saha; Dinh Q. Phung; Duc-Son Pham 001; Svetha Venkatesh (ICDM, 2012)

Multi-modal abnormality detection in video with unknown data segmentation. - Tien-Vu Nguyen; Dinh Q. Phung; Santu Rana; Duc-Son Pham 001; Svetha Venkatesh (ICPR, 2012)

Large-scale statistical modeling of motion patterns: a Bayesian nonparametric approach. - Santu Rana; Dinh Q. Phung; Sonny Pham; Svetha Venkatesh (ICVGIP, 2012)

ConeRANK: Ranking as Learning Generalized Inequalities - Tran The Truyen; Duc Son Pham 001 (CoRR, 2012)

Improved Image Recovery From Compressed Data Contaminated With Impulsive Noise. - Duc-Son Pham 001; Svetha Venkatesh (IEEE Trans. Image Process., 2012)

Clustering Patient Medical Records via Sparse Subspace Representation. - Budhaditya Saha; Duc-Son Pham 001; Dinh Q. Phung; Svetha Venkatesh (PAKDD (2), 2013)

Sparse Subspace Clustering via Group Sparse Coding. - Duc-Son Pham 001; Dinh Q. Phung; Budhaditya Saha; Svetha Venkatesh (SDM, 2013)

A novel information theoretic approach to wavelet feature selection for texture classification. - Imran Naseem; Duc-Son Pham 001; Svetha Venkatesh (Comput. Electr. Eng., 2013)

Detection of cross-channel anomalies. - Duc-Son Pham 001; Budhaditya Saha; Dinh Q. Phung; Svetha Venkatesh (Knowl. Inf. Syst., 2013)

Compressive speech enhancement. - Siow Yong Low; Duc-Son Pham 001; Svetha Venkatesh (Speech Commun., 2013)

Efficient Algorithms for Robust Recovery of Images From Compressed Data. - Duc-Son Pham 001; Svetha Venkatesh (IEEE Trans. Image Process., 2013)

Stream Quantiles via Maximal Entropy Histograms. - Ognjen Arandjelovic; Duc-Son Pham 001; Svetha Venkatesh (ICONIP (2), 2014)

Two maximum entropy based algorithms for running quantile estimation in non-stationary data streams. - Ognjen Arandjelovic; Duc-Son Pham 001; Svetha Venkatesh (CoRR, 2014)

Anomaly detection in large-scale data stream networks. - Duc-Son Pham 001; Svetha Venkatesh; Mihai M. Lazarescu; Budhaditya Saha (Data Min. Knowl. Discov., 2014)

Detection of Structural Changes in Data Streams. - Ross Callister; Mihai M. Lazarescu; Duc-Son Pham 001 (AusDM, 2015)

An Industrial Application of Rotation Forest: Transformer Health. - T. Natarajan; Duc-Son Pham 001; Mihai M. Lazarescu (AusDM, 2015)

Improved Impulse Noise Removal with Generalized Median Filter. - Duc-Son Pham 001 (DICTA, 2015)

Multi-View Subspace Clustering for Face Images. - Xin Zhang 022; Dinh Q. Phung; Svetha Venkatesh; Duc-Son Pham 001; Wanquan Liu (DICTA, 2015)

A Study of Web Application Firewall Solutions. - Stefan Prandl; Mihai M. Lazarescu; Duc-Son Pham 001 (ICISS, 2015)

Groupwise Registration of Aerial Images. - Ognjen Arandjelovic; Duc-Son Pham 001; Svetha Venkatesh (IJCAI, 2015)

The adaptable buffer algorithm for high quantile estimation in non-stationary data streams. - Ognjen Arandjelovic; Duc-Son Pham 001; Svetha Venkatesh (IJCNN, 2015)

Visual Object Clustering via Mixed-Norm Regularization. - Xin Zhang 022; Duc-Son Pham 001; Dinh Q. Phung; Wanquan Liu; Budhaditya Saha; Svetha Venkatesh (WACV, 2015)

Viewpoint distortion compensation in practical surveillance systems. - Ognjen Arandjelovic; Duc-Son Pham 001; Svetha Venkatesh (CoRR, 2015)

Efficient and accurate set-based registration of time-separated aerial images. - Ognjen Arandjelovic; Duc-Son Pham 001; Svetha Venkatesh (Pattern Recognit., 2015)

On group-wise ℓp regularization: Theory and efficient algorithms. - Duc-Son Pham 001 (Pattern Recognit., 2015)

Mixed-norm sparse representation for multi view face recognition. - Xin Zhang 022; Duc-Son Pham 001; Svetha Venkatesh; Wanquan Liu; Dinh Q. Phung (Pattern Recognit., 2015)

Two Maximum Entropy-Based Algorithms for Running Quantile Estimation in Nonstationary Data Streams. - Ognjen Arandjelovic; Duc-Son Pham 001; Svetha Venkatesh (IEEE Trans. Circuits Syst. Video Technol., 2015)

Detection of Dynamic Background Due to Swaying Movements From Motion Features. - Duc-Son Pham 001; Ognjen Arandjelovic; Svetha Venkatesh (IEEE Trans. Image Process., 2015)

Achieving stable subspace clustering by post-processing generic clustering results. - Duc-Son Pham 001; Ognjen Arandjelovic; Svetha Venkatesh (IJCNN, 2016)

CCTV Scene Perspective Distortion Estimation From Low-Level Motion Features. - Ognjen Arandjelovic; Duc-Son Pham 001; Svetha Venkatesh (IEEE Trans. Circuits Syst. Video Technol., 2016)

Graph-based clustering with DRepStream. - Ross Callister; Mihai M. Lazarescu; Duc-Son Pham 001 (SAC, 2017)

An Investigation of Power Law Probability Distributions for Network Anomaly Detection. - Stefan Prandl; Mihai M. Lazarescu; Duc-Son Pham 001; Sieteng Soh; Subhash C. Kak (IEEE Symposium on Security and Privacy Workshops, 2017)

Modelling and Flame Segmentation for Real-Time Monitoring of Rotary Kilns. - John Ridley; Duc-Son Pham 001; Mihai M. Lazarescu (DICTA, 2019)

Using distribution analysis for parameter selection in repstream. - Ross Callister; Duc-Son Pham 001; Mihai M. Lazarescu (Math. Found. Comput., 2019)

FANet: Feature Aggregation Network for Semantic Segmentation. - Tanmay Singha; Duc-Son Pham 001; Aneesh Krishna (DICTA, 2020)

Efficient Segmentation Pyramid Network. - Tanmay Singha; Duc-Son Pham 001; Aneesh Krishna; Joel Dunstan (ICONIP (4), 2020)

RobustRepStream: Robust stream clustering using self-controlled connectivity graph. - Ross Callister; Mihai M. Lazarescu; Duc-Son Pham 001 (Intell. Data Anal., 2020)

An Efficient Feature Extraction Method for the Detection of Material Rings in Rotary Kilns. - Duc-Son Pham 001; John Ridley; Mihai M. Lazarescu (IEEE Trans. Ind. Informatics, 2020)

SCMNet: Shared Context Mining Network for Real-time Semantic Segmentation. - Tanmay Singha; Moritz Bergemann; Duc-Son Pham 001; Aneesh Krishna (DICTA, 2021)

Green Multi-Stage Upgrade for Bundled-Links SDN/OSPF-ECMP Networks. - Lely Hiryanto; Sieteng Soh; Kwan-Wu Chin; Duc-Son Pham 001; Mihai M. Lazarescu (ICC, 2021)

A Lightweight Multi-scale Feature Fusion Network for Real-Time Semantic Segmentation. - Tanmay Singha; Duc-Son Pham 001; Aneesh Krishna; Tom Gedeon (ICONIP (2), 2021)

Multi-Path Routing in Green Multi-Stage Upgrade for Bundled-Links SDN/OSPF-ECMP Networks. - Lely Hiryanto; Sieteng Soh; Kwan-Wu Chin; Duc Son Pham 001; Mihai M. Lazarescu (IEEE Access, 2021)

Urban street scene analysis using lightweight multi-level multi-path feature aggregation network. - Tanmay Singha; Duc-Son Pham 001; Aneesh Krishna (Multiagent Grid Syst., 2021)

Explainable Detection of Microplastics Using Transformer Neural Networks. - Max Barker; Meg Willans; Duc-Son Pham 001; Aneesh Krishna; Mark J. Hackett (AI, 2022)

Explainable Network Intrusion Detection Using External Memory Models. - Jack Hutchison; Duc-Son Pham 001; Sieteng Soh; Huo-Chong Ling (AI, 2022)

A Text-Independent Forced Alignment Method for Automatic Phoneme Segmentation. - Bryce Wohlan; Duc-Son Pham 001; Kit Yan Chan; Roslyn Ward (AI, 2022)

Green Multistage Upgrade of Switches and Controllers for Bundled-Links SDNs. - Lely Hiryanto; Sieteng Soh; Kwan-Wu Chin; Duc-Son Pham 001; Mihai M. Lazarescu (IEEE Access, 2022)

Transformers Are All You Need to Generate Automatic Report from Chest X-ray Images. - Chayan Mondal; Duc-Son Pham 001; Tele Tan; Tom Gedeon; Ashu Gupta (DICTA, 2023)

Semantic Segmentation for Improved Cell Nuclei Analysis. - Joren Regan; Chaki Ramesh; Saurabh Gupta; Ankur Sharma; Duc-Son Pham 001; Aneesh Krishna (DICTA, 2023)

Effi-Seg: Rethinking EfficientNet Architecture for Real-Time Semantic Segmentation. - Tanmay Singha; Duc-Son Pham 001; Aneesh Krishna (ICONIP (5), 2023)

EfficienTransNet: An Automated Chest X-ray Report Generation Paradigm. - Chayan Mondal; Duc-Son Pham 001; Ashu Gupta; Shreya Ghosh 001; Tele Tan; Tom Gedeon (MRAC@MM, 2023)

Multi-Encoder Context Aggregation Network for Structured and Unstructured Urban Street Scene Analysis. - Tanmay Singha; Duc-Son Pham 001; Aneesh Krishna (IEEE Access, 2023)

Deep neural networks in the cloud: Review, applications, challenges and research directions. - Kit Yan Chan; Bilal Abu-Salih; Raneem Qaddoura; Ala' M. Al-Zoubi; Vasile Palade; Duc-Son Pham 001; Javier Del Ser; Khan Muhammad 001 (Neurocomputing, 2023)

A real-time semantic segmentation model using iteratively shared features in multiple sub-encoders. - Tanmay Singha; Duc-Son Pham 001; Aneesh Krishna (Pattern Recognit., 2023)

Improved Short-term Dense Bottleneck network for efficient scene analysis. - Tanmay Singha; Duc-Son Pham 001; Aneesh Krishna (Comput. Vis. Image Underst., 2023)

Improving Text-Independent Forced Alignment to Support Speech-Language Pathologists with Phonetic Transcription. - Ying Li; Bryce Johannas Wohlan; Duc-Son Pham 001; Kit Yan Chan; Roslyn Ward; Neville Hennessey; Tele Tan (Sensors, 2023)

Some Considerations for the Preservation of Endangered Languages Using Low-Resource Machine Translation. - Alastair Kho; Duc-Son Pham 001; Susannah Soon; Kit Yan Chan (AI (1), 2024)

Domain Adversarial SegFormer. - Moritz Bergemann; Tanmay Singha; Duc-Son Pham 001; Aneesh Krishna (DICTA, 2024)

Enhancing Semantic Segmentation with Synthetic Image Generation: A Novel Approach Using Stable Diffusion and ControlNet. - Austin Bevacqua; Tanmay Singha; Duc-Son Pham 001 (DICTA, 2024)

Pursuing an Effective Vision Encoder for Enhancing Explainable X-Ray Report Generation. - Chayan Mondal; Duc-Son Pham 001; Tele Tan; Tom Gedeon; Ashu Gupta (DICTA, 2024)

Leveraging Prompt Engineering with Lightweight Large Language Models to Label and Extract Clinical Information from Radiology Reports. - Chayan Mondal; Duc-Son Pham 001; Ashu Gupta; Tele Tan; Tom Gedeon (WWW (Companion Volume), 2025)

Delay-aware multi-stage edge server placement and task offloading with budget constraint. - Endar Suprih Wihidayat; Sieteng Soh; Kwan-Wu Chin; Duc-Son Pham 001 (Comput. Networks, 2025)