EWAT+: Finding Time Series Discords Based on New Discord Measure Functions. - Son Thai Mai; Duong Tuan Anh (RIVF, 2010)

Some Novel Heuristics for Finding the Most Unusual Time Series Subsequences. - Son Thai Mai; Duong Tuan Anh (Advances in Intelligent Information and Database Systems, 2010)

A Similarity Model and Segmentation Algorithm for White Matter Fiber Tracts. - Son T. Mai; Sebastian Goebl; Claudia Plant (ICDM, 2012)

Measuring Non-Gaussianity by Phi-Transformed and Fuzzy Histograms. - Claudia Plant; Son Thai Mai; Junming Shao; Fabian J. Theis; Anke Meyer-Baese; Christian Böhm 001 (Adv. Artif. Neural Syst., 2012)

Active Density-Based Clustering. - Son T. Mai; Xiao He 002; Nina C. Hubig; Claudia Plant; Christian Böhm 001 (ICDM, 2013)

Efficient Anytime Density-based Clustering. - Christian Böhm 001; Jing Feng 003; Xiao He 002; Son T. Mai (SDM, 2013)

Relevant overlapping subspace clusters on categorical data. - Xiao He 002; Jing Feng 003; Bettina Konte; Son T. Mai; Claudia Plant (KDD, 2014)

Solving the all-interval series problem: SAT vs CP. - Van-Hau Nguyen; Son Thai Mai (SoICT, 2014)

Density-based algorithms for active and anytime clustering. - Son Thai Mai (2014)

A New Method to Encode the At-Most-One Constraint into SAT. - Van-Hau Nguyen; Son Thai Mai (SoICT, 2015)

Anytime density-based clustering of complex data. - Son T. Mai; Xiao He 002; Jing Feng 003; Claudia Plant; Christian Böhm 001 (Knowl. Inf. Syst., 2015)

Anytime OPTICS: An Efficient Approach for Hierarchical Density-Based Clustering. - Son T. Mai; Ira Assent; Anh Le (DASFAA (1), 2016)

AnyDBC: An Efficient Anytime Density-based Clustering Algorithm for Very Large Complex Datasets. - Son T. Mai; Ira Assent; Martin Storgaard (KDD, 2016)

Interactive Exploration of Subspace Clusters for High Dimensional Data. - Jesper Kristensen; Son T. Mai; Ira Assent; Jon Jacobsen; Bay Vo; Anh Le (DEXA (1), 2017)

Scalable and Interactive Graph Clustering Algorithm on Multicore CPUs. - Son T. Mai; Martin Storgaard Dieu; Ira Assent; Jon Jacobsen; Jesper Kristensen; Mathias Skovgaard Birk (ICDE, 2017)

Scalable Active Constrained Clustering for Temporal Data. - Son T. Mai; Sihem Amer-Yahia; Ahlame Douzal Chouakria; Ky T. Nguyen; Anh-Duong Nguyen (DASFAA (1), 2018)

Scalable Active Temporal Constrained Clustering. - Son T. Mai; Sihem Amer-Yahia; Ahlame Douzal Chouakria (EDBT, 2018)

Evolutionary Active Constrained Clustering for Obstructive Sleep Apnea Analysis. - Son T. Mai; Sihem Amer-Yahia; Sébastien Bailly; Jean Louis Pépin; Ahlame Douzal Chouakria; Ky T. Nguyen; Anh-Duong Nguyen (Data Sci. Eng., 2018)

Anytime parallel density-based clustering. - Son T. Mai; Ira Assent; Jon Jacobsen; Martin Storgaard Dieu (Data Min. Knowl. Discov., 2018)

Health Monitoring on Social Media over Time. - Sumit Sidana; Sihem Amer-Yahia; Marianne Clausel; Majdeddine Rebai; Son T. Mai; Massih-Reza Amini (IEEE Trans. Knowl. Data Eng., 2018)

Interactive Exploration of Subspace Clusters on Multicore Processors. - The Hai Pham; Jesper Kristensen; Son T. Mai; Ira Assent; Jon Jacobsen; Bay Vo; Anh Le (Trans. Large Scale Data Knowl. Centered Syst., 2018)

Scalable Interactive Dynamic Graph Clustering on Multicore CPUs. - Son T. Mai; Sihem Amer-Yahia; Ira Assent; Mathias Skovgaard Birk; Martin Storgaard Dieu; Jon Jacobsen; Jesper Kristensen (IEEE Trans. Knowl. Data Eng., 2019)

Spectrum-Sharing UAV-Assisted Mission-Critical Communication: Learning-Aided Real-Time Optimisation. - Minh-Hien T. Nguyen; Emiliano Garcia-Palacios; Tan Do-Duy; Long Dinh Nguyen; Son T. Mai; Trung Q. Duong (IEEE Access, 2021)

Advanced Machine Learning Techniques for Predicting Nha Trang Shorelines. - Cheng Yin; Le Thanh Binh; Duong Tran Anh; Son T. Mai; Anh Le; Van-Hau Nguyen; Van-Chien Nguyen; Nguyen Xuan Tinh; Hitoshi Tanaka; Nguyen Trung Viet; Long Dinh Nguyen; Trung Q. Duong (IEEE Access, 2021)

Multi-spectral In-Vivo FPGA-Based Surgical Imaging. - Majed Alsharari; Lorenzo Niemitz; Simon Sorensen; Roger F. Woods; Ray Burke; Stefan Andersson-Engels; Carlos Reaño; Son T. Mai (ARC, 2022)

Dengue Fever: From Extreme Climates to Outbreak Prediction. - Son T. Mai; Ha T. Phi; Abdullahi Abubakar; Peter Kilpatrick; Hung Q. V. Nguyen; Hans Vandierendonck (ICDM, 2022)

Diarrhoea incidence prediction using climate data: Machine Learning approaches. - Thanh Duy Do; James Mulhall; Thuan Dinh Nguyen; Quang T. M. Nguyen; Diep Phan; Son T. Mai (RIVF, 2022)

Incremental Density-Based Clustering on Multicore Processors. - Son T. Mai; Jon Jacobsen; Sihem Amer-Yahia; Ivor T. A. Spence; Nhat-Phuong Tran; Ira Assent; Quoc Viet Hung Nguyen (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Efficient and Effective Multi-Modal Queries Through Heterogeneous Network Embedding. - Chi Thang Duong; Thanh Tam Nguyen; Hongzhi Yin; Matthias Weidlich 001; Son Thai Mai; Karl Aberer; Quoc Viet Hung Nguyen (IEEE Trans. Knowl. Data Eng., 2022)

Efficient and Effective Multi-Modal Queries through Heterogeneous Network Embedding (Extended Abstract). - Thanh Tam Nguyen; Chi Thang Duong; Hongzhi Yin; Matthias Weidlich 001; Son Thai Mai; Karl Aberer; Quoc Viet Hung Nguyen (ICDE, 2023)

A Rule-Based Ensemble Approach for Diarrhoea Outbreak Prediction. - Truc T. T. Trinh; Thanh Duy Do; Thuan Dinh Nguyen; Son T. Mai (RIVF, 2023)

An Intelligent Image Processing System for Enhancing Blood Vessel Segmentation on Low-Power SoC. - Majed Alsharari; Son T. Mai; Romain Garnier; Carlos Reaño; Roger F. Woods (SAMOS, 2023)

Streamflow Prediction in the Mekong River Basin Using Deep Neural Networks. - Thi-Thu-Ha Nguyen; Duc-Quang Vu; Son T. Mai; Thanh Duc Dang (IEEE Access, 2023)

Detecting rumours with latency guarantees using massive streaming data. - Thanh Tam Nguyen; Thanh Trung Huynh; Hongzhi Yin; Matthias Weidlich 001; Thanh Thi Nguyen 001; Son Thai Mai; Quoc Viet Hung Nguyen (VLDB J., 2023)

Learning to summarize multi-documents with local and global information. - Van-Hau Nguyen; Son T. Mai; Minh-Tien Nguyen (Prog. Artif. Intell., 2023)

Preserving Spatial-Temporal Relationship with Adaptive Node Sampling in Hierarchical Dynamic Graph Transformers. - Thi Linh Hoang; Tuan Dung Pham; Son T. Mai; Viet Cuong Ta (ACML, 2024)

OrbitSI: An Orbit-based Algorithm for the Subgraph Isomorphism Search Problem. - Syed Ibtisam Tauhidi; Arindam Karmakar; Son Thai Mai; Hans Vandierendonck (ICKG, 2024)

Deep Learning Enhanced Side Channel Analysis on CRYSTALS-Kyber. - Anh-Tuan Hoang; Mark Kennaway; Dung Tuan Pham; Son Thai Mai; Ayesha Khalid; Ciara Rafferty; Máire O'Neill (ISQED, 2024)

Selective Parallel Loading of Large-Scale Compressed Graphs with ParaGrapher. - Mohsen Koohi Esfahani; Marco D'Antonio; Syed Ibtisam Tauhidi; Son Thai Mai; Hans Vandierendonck (CoRR, 2024)

Defending against Model Inversion Attacks via Random Erasing. - Viet-Hung Tran; Ngoc-Bao Nguyen; Son T. Mai; Hans Vandierendonck; Ngai-Man Cheung (CoRR, 2024)

Application of machine learning-based surrogate models for urban flood depth modeling in Ho Chi Minh City, Vietnam. - Thanh Quang Dang; Ba Hoang Tran; Ngoc-Quyen Le; Thanh Duc Dang; Ahad Hasan Tanim; Quoc Bao Pham; Van Hieu Bui; Son T. Mai; Phong Nguyen Thanh; Duong Tran Anh (Appl. Soft Comput., 2024)

Dynamic weighted ensemble for diarrhoea incidence predictions. - Thanh Duy Do; Thuan Dinh Nguyen; Viet Cuong Ta; Duong Tran Anh; Tuyet-Hanh Tran Thi; Diep Phan; Son T. Mai (Mach. Learn., 2024)

LCSL: Long-Tailed Classification via Self-Labeling. - Duc-Quang Vu; Trang T. T. Phung; Jia-Ching Wang; Son T. Mai (IEEE Trans. Circuits Syst. Video Technol., 2024)

InteDisUX: Intepretation-Guided Discriminative User-Centric Explanation for Time Series. - Viet-Hung Tran; Zichi Zhang; Tuan Dung Pham; Ngoc Phu Doan; Anh-Tuan Hoang; Peixin Li; Hans Vandierendonck; Ira Assent; Son T. Mai (AAAI, 2025)

WaveletMixer: A Multi-Resolution Wavelets Based MLP-Mixer for Multivariate Long-Term Time Series Forecasting. - Zichi Zhang; Tuan Dung Pham; Yimeng An; Ngoc Phu Doan; Majed Alsharari; Viet-Hung Tran; Anh-Tuan Hoang; Hans Vandierendonck; Son T. Mai (AAAI, 2025)

Relax and don't Stop: Graph-aware Asynchronous SSSP. - Marco D'Antonio; Kåre von Geijer; Son Thai Mai; Philippas Tsigas; Hans Vandierendonck (FCPC@PPOPP, 2025)

Toward Efficient Asynchronous Single-Source Shortest Path. - Marco D'Antonio; Son Thai Mai; Hans Vandierendonck (IPDPS (Workshops), 2025)

Prediction of cardiovascular disease cases driven by air pollution data: A novel kernel-based Mixed-frequency data Sampling Nonlinear Grey Model. - Yimeng An; Yaoguo Dang; Junjie Wang; Yu Feng; Shaowen Yang; Son T. Mai (Comput. Ind. Eng., 2025)

Integrating Intelligent Hydro-informatics into an effective Early Warning System for risk-informed urban flood management. - Thanh Quang Dang; Ba Hoang Tran; Ngoc-Quyen Le; Ahad Hasan Tanim; Van Hieu Bui; Son T. Mai; Phong Nguyen Thanh; Duong Tran Anh (Environ. Model. Softw., 2025)

QL-PGD: An efficient defense against membership inference attack. - Tuan Dung Pham; Bao Dung Nguyen; Son T. Mai; Viet Cuong Ta (J. Inf. Secur. Appl., 2025)

Random Erasing vs. Model Inversion: A Promising Defense or a False Hope? - Viet-Hung Tran; Ngoc-Bao Nguyen; Son T. Mai; Hans Vandierendonck; Ira Assent; Alex C. Kot; Ngai-Man Cheung (Trans. Mach. Learn. Res., 2025)

Efficient Integer-Only-Inference of Gradient Boosting Decision Trees on Low-Power Devices. - Majed Alsharari; Son T. Mai; Roger F. Woods; Carlos Reaño (IEEE Trans. Circuits Syst. I Regul. Pap., 2025)