Is Morton Layout Competitive for Large Two-Dimensional Arrays? - Jeyarajan Thiyagalingam; Paul H. J. Kelly (Euro-Par, 2002)

Improving the Performance of Morton Layout by Array Alignment and Loop Unrolling: Reducing the Price of Naivety. - Jeyarajan Thiyagalingam; Olav Beckmann; Paul H. J. Kelly (LCPC, 2003)

Minimizing Associativity Conflicts in Morton Layout. - Jeyarajan Thiyagalingam; Olav Beckmann; Paul H. J. Kelly (PPAM, 2005)

Alternative array storage layouts for regular scientific programs. - Jeyarajan Thiyagalingam (2005)

Domain-Specific Metadata for Model Validation and Performance Optimisation. - Jeyarajan Thiyagalingam; Vladimir Getov; Sofia Panagiotidi; Olav Beckmann; John Darlington (CoreGRID Integration Workshop, 2006)

A Metadata Extracting Tool for Software Components in Grid Applications. - Jeyarajan Thiyagalingam; Vladimir Getov (John Vincent Atanasoff Symposium, 2006)

Is Morton layout competitive for large two-dimensional arrays yet? - Jeyarajan Thiyagalingam; Olav Beckmann; Paul H. J. Kelly (Concurr. Comput. Pract. Exp., 2006)

Component-Based Development Environment for Grid Systems: Design and Implementation. - Artie Basukoski; Vladimir Getov; Jeyarajan Thiyagalingam; Stavros Isaiadis (CoreGRID Workshop - Making Grids Work, 2007)

Advanced Grid Programming with Components: A Biometric Identification Case Study. - Thomas Weigold; Peter Buhler; Jeyarajan Thiyagalingam; Artie Basukoski; Vladimir Getov (COMPSAC, 2008)

Towards Compiling SAC to CUDA. - Jing Guo; Jeyarajan Thiyagalingam; Sven-Bodo Scholz (Trends in Functional Programming, 2009)

Parallel Simulation for Parameter Estimation of Optical Tissue Properties. - Mihai C. Duta; Jeyarajan Thiyagalingam; Anne E. Trefethen; Ayush Goyal; Vicente Grau; Nic Smith (Euro-Par (2), 2010)

Harnessing the Power of GPUs without Losing Abstractions in SAC and ArrayOL: A Comparative Study. - Jing Guo; Antonio Wendell De Oliveira Rodrigues; Jeyarajan Thiyagalingam; Frédéric Guyomarc'h; Pierre Boulet; Sven-Bodo Scholz (IPDPS Workshops, 2011)

Breaking the GPU programming barrier with the auto-parallelising SAC compiler. - Jing Guo; Jeyarajan Thiyagalingam; Sven-Bodo Scholz (DAMP, 2011)

On the Usage of GPUs for Efficient Motion Estimation in Medical Image Sequences. - Jeyarajan Thiyagalingam; Daniel Goodman 001; Julia A. Schnabel; Anne E. Trefethen; Vicente Grau (Int. J. Biomed. Imaging, 2011)

The Effect of Topology-Aware Process and Thread Placement on Performance and Energy. - Albert Solernou 002; Jeyarajan Thiyagalingam; Mihai C. Duta; Anne E. Trefethen (ISC, 2013)

Complexity Plots. - Jeyarajan Thiyagalingam; Simon J. Walton; Brian Duffy; Anne E. Trefethen; Min Chen 001 (Comput. Graph. Forum, 2013)

Energy-aware software: Challenges, opportunities and strategies. - Anne E. Trefethen; Jeyarajan Thiyagalingam (J. Comput. Sci., 2013)

Design and initial performance of a high-level unstructured mesh framework on heterogeneous parallel systems. - Gihan R. Mudalige; Mike B. Giles; Jeyarajan Thiyagalingam; I. Z. Reguly; Carlo Bertolli; Paul H. J. Kelly; Anne E. Trefethen (Parallel Comput., 2013)

Visual Multiplexing. - Min Chen 001; Simon J. Walton; Kai Berger; Jeyarajan Thiyagalingam; Brian Duffy; Hui Fang 003; Cameron Holloway; Anne E. Trefethen (Comput. Graph. Forum, 2014)

Real-time Pedestrian Surveillance with Top View Cumulative Grids. - Kai Berger; Jeyarajan Thiyagalingam (CoRR, 2014)

Glyph-Based Video Visualization for Semen Analysis. - Brian Duffy; Jeyarajan Thiyagalingam; Simon J. Walton; David J. Smith; Anne E. Trefethen; Jackson C. Kirkman-Brown; Eamonn A. Gaffney; Min Chen 001 (IEEE Trans. Vis. Comput. Graph., 2015)

Machine Learning-Based Framework for Resource Management and Modelling for Video Analytic in Cloud-Based Hadoop Environment. - Manal Al-Rawahi; Eran A. Edirisinghe; Jeyarajan Thiyagalingam (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld, 2016)

Fast and reliable human action recognition in video sequences by sequential analysis. - Hui Fang 003; Jeyarajan Thiyagalingam; Nik Bessis; Eran A. Edirisinghe (ICIP, 2017)

MapReduce particle filtering with exact resampling and deterministic runtime. - Jeyarajan Thiyagalingam; Lykourgos Kekempanos; Simon Maskell (EURASIP J. Adv. Signal Process., 2017)

Segmenting Sound Waves to Support Phonocardiogram Analysis: The PCGseg Approach. - Hajar Al-Hujailan; Frans Coenen; Jo Dukes-McEwan; Jeyarajan Thiyagalingam (PRICAI, 2018)

Multi-object Bayesian filters with amplitude information in clutter background. - Bin Yang; Jun Wang 041; Changshun Yuan; Jeyarajan Thiyagalingam; Thia Kirubarajan (Signal Process., 2018)

Low-complexity adaptive broadband beamforming based on the non-uniform decomposition method. - Shurui Zhang; Jeyarajan Thiyagalingam; Weixing Sheng; Thia Kirubarajan; Xiaofeng Ma (Signal Process., 2018)

Energy Efficiency Fairness Beamforming Designs for MISO NOMA Systems. - Haitham Moffaqq Al-Obiedollah; Kanapathippillai Cumanan; Jeyarajan Thiyagalingam; Alister G. Burr; Zhiguo Ding 001; Octavia A. Dobre (WCNC, 2019)

Sum Rate Fairness Trade-off-based Resource Allocation Technique for MISO NOMA Systems. - Haitham Moffaqq Al-Obiedollah; Kanapathippillai Cumanan; Jeyarajan Thiyagalingam; Alister G. Burr; Zhiguo Ding 001; Octavia A. Dobre (WCNC, 2019)

Energy Efficiency Optimization for Secure Transmission in MISO Cognitive Radio Network With Energy Harvesting. - Miao Zhang; Kanapathippillai Cumanan; Jeyarajan Thiyagalingam; Wei Wang 096; Alister G. Burr; Zhiguo Ding 001; Octavia A. Dobre (IEEE Access, 2019)

A Single SMC Sampler on MPI that Outperforms a Single MCMC Sampler. - Alessandro Varsi; Lykourgos Kekempanos; Jeyarajan Thiyagalingam; Simon Maskell (CoRR, 2019)

Machine Learning and Big Scientific Data. - Tony Hey; Keith Butler; Sam Jackson; Jeyarajan Thiyagalingam (CoRR, 2019)

Speed-adaptive multi-copy routing for vehicular delay tolerant networks. - Fuquan Zhang 004; Jeyarajan Thiyagalingam; Thia Kirubarajan; Shu-Wen Xu 001 (Future Gener. Comput. Syst., 2019)

Energy Efficient Beamforming Design for MISO Non-Orthogonal Multiple Access Systems. - Haitham Moffaqq Al-Obiedollah; Kanapathippillai Cumanan; Jeyarajan Thiyagalingam; Alister G. Burr; Zhiguo Ding 001; Octavia A. Dobre (IEEE Trans. Commun., 2019)

Deep learning insights into cosmological structure formation. - Luisa Lucie-Smith; Hiranya V. Peiris; Andrew Pontzen; Brian Nord; Jeyan Thiyagalingam (CoRR, 2020)

Building interactive sentence-aware representation based on generative language model for community question answering. - Jinmeng Wu; Tingting Mu; Jeyarajan Thiyagalingam; John Yannis Goulermas (Neurocomputing, 2020)

A Novel Method for Sea-Land Clutter Separation Using Regularized Randomized and Kernel Ridge Neural Networks. - Le Zhang; Jeyan Thiyagalingam; Anke Xue; Shu-Wen Xu 001 (Sensors, 2020)

Evaluating Auto-Vectorizing Compilers through Objective Withdrawal of Useful Information. - Sergi Siso; Wes Armour; Jeyarajan Thiyagalingam (ACM Trans. Archit. Code Optim., 2020)

MILP Formulation for Aircraft Path Planning in Persistent Surveillance. - Yan Zuo; Ratnasingham Tharmarasa; Rahim Jassemi-Zargani; Nathan Kashyap; Jeyarajan Thiyagalingam; Thiagalingam Kirubarajan (IEEE Trans. Aerosp. Electron. Syst., 2020)

Correlation Filter Selection for Visual Tracking Using Reinforcement Learning. - Yanchun Xie; Jimin Xiao; Kaizhu Huang; Jeyarajan Thiyagalingam; Yao Zhao 001 (IEEE Trans. Circuits Syst. Video Technol., 2020)

An Interpretable Deep Architecture for Similarity Learning Built Upon Hierarchical Concepts. - Xinjian Gao; Tingting Mu; John Yannis Goulermas; Jeyarajan Thiyagalingam; Meng Wang 001 (IEEE Trans. Image Process., 2020)

Spectral-Energy Efficiency Trade-Off-Based Beamforming Design for MISO Non-Orthogonal Multiple Access Systems. - Haitham Moffaqq Al-Obiedollah; Kanapathippillai Cumanan; Jeyarajan Thiyagalingam; Jie Tang 002; Alister G. Burr; Zhiguo Ding 001; Octavia A. Dobre (IEEE Trans. Wirel. Commun., 2020)

Lessons Learned from Ariel Data Challenge 2022 - Inferring Physical Properties of Exoplanets From Next-Generation Telescopes. - Kai Hou Yip; Quentin Changeat; Ingo P. Waldmann; Eyup B. Unlu; Roy T. Forestano; Alexander Roman; Katia Matcheva; Konstantin T. Matchev; Stefan Stefanov; Ondrej Podsztavek; Mario Morvan; Nikolaos Nikolaou; et al. (NeurIPS (Competition and Demos), 2021)

Efficiency Near the Edge: Increasing the Energy Efficiency of FFTs on GPUs for Real-Time Edge Computing. - Karel Adámek; Jan Novotný; Jeyarajan Thiyagalingam; Wesley Armour (IEEE Access, 2021)

Scientific Machine Learning Benchmarks. - Jeyan Thiyagalingam; Mallikarjun Shankar; Geoffrey C. Fox; Tony Hey (CoRR, 2021)

Deploying the Big Data Science Center at the Shanghai Synchrotron Radiation Facility: the first superfacility platform in China. - Chunpeng Wang; Feng Yu 011; Yiyang Liu; Xiaoyun Li; Jige Chen; Jeyan Thiyagalingam; Alessandro Sepe (Mach. Learn. Sci. Technol., 2021)

A Multilane Tracking Algorithm Using IPDA with Intensity Feature. - Behzad Akbari; Jeyan Thiyagalingam; Richard Lee 004; Thia Kirubarajan (Sensors, 2021)

A Parallel Retrodiction Algorithm for Large-Scale Multitarget Tracking. - Siu Lun Yeung; Sean Tager; Paul Wilson; Ratnasingham Tharmarasa; Wes Armour; Jeyarajan Thiyagalingam (IEEE Trans. Aerosp. Electron. Syst., 2021)

Exploiting Deep Learning for Secure Transmission in an Underlay Cognitive Radio Network. - Miao Zhang; Kanapathippillai Cumanan; Jeyarajan Thiyagalingam; Yanqun Tang; Wei Wang 096; Zhiguo Ding 001; Octavia A. Dobre (IEEE Trans. Veh. Technol., 2021)

Improved Imaging by Invex Regularizers with Global Optima Guarantees. - Samuel Pinilla; Tingting Mu; Neil Bourne; Jeyan Thiyagalingam (NeurIPS, 2022)

AI Benchmarking for Science: Efforts from the MLCommons Science Working Group. - Jeyan Thiyagalingam; Gregor von Laszewski; Junqi Yin; Murali Emani; Juri Papay; Gregg Barrett; Piotr Luszczek; Aristeidis Tsaris; Christine R. Kirkpatrick; Feiyi Wang; Tom Gibbs; Venkatram Vishwanath; et al. (ISC Workshops, 2022)

Disentangling Autoencoders (DAE). - Jaehoon Cha; Jeyan Thiyagalingam (CoRR, 2022)

Discovering the building blocks of dark matter halo density profiles with neural networks. - Luisa Lucie-Smith; Hiranya V. Peiris; Andrew Pontzen; Brian Nord; Jeyan Thiyagalingam; Davide Piras (CoRR, 2022)

CNN-based Classification Framework for Lung Tissues with Auxiliary Information. - Huafeng Hu; Ruijie Ye; Jeyarajan Thiyagalingam; Frans Coenen; Jionglong Su (CoRR, 2022)

Affinity-VAE for disentanglement, clustering and classification of objects in multidimensional image data. - Jola Mirecka; Marjan Famili; Anna Kotanska; Nikolai Juraschko; Beatriz Costa-Gomes; Colin M. Palmer; Jeyan Thiyagalingam; Tom Burnley; Mark Basham; Alan R. Lowe (CoRR, 2022)

On the Compatibility between a Neural Network and a Partial Differential Equation for Physics-informed Learning. - Kuangdai Leng; Jeyan Thiyagalingam (CoRR, 2022)

Templated Hybrid Reusable Computational Analytics Workflow Management with Cloudmesh, Applied to the Deep Learning MLCommons Cloudmask Application. - Gregor von Laszewski; Jacques Phillipe Fleischer; Geoffrey C. Fox; Juri Papay; Samuel Jackson; Jeyan Thiyagalingam (e-Science, 2023)

Orthogonality-Enforced Latent Space in Autoencoders: An Approach to Learning Disentangled Representations. - Jaehoon Cha; Jeyan Thiyagalingam (ICML, 2023)

Padding-Free Convolution Based on Preservation of Differential Characteristics of Kernels. - Kuangdai Leng; Jeyan Thiyagalingam (ICMLA, 2023)

Memory-Aware Attentive Control for Community Question Answering With Knowledge-Based Dual Refinement. - Jinmeng Wu; Tingting Mu; Jeyan Thiyagalingam; John Yannis Goulermas (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Triple-kernel gated attention-based multiple instance learning with contrastive learning for medical image analysis. - Huafeng Hu; Ruijie Ye; Jeyan Thiyagalingam; Frans Coenen; Jionglong Su (Appl. Intell., 2023)

Affinity-VAE: Incorporating Prior Knowledge in Representation Learning from Scientific Images. - Marjan Famili; Jola Mirecka; Camila Rangel Smith; Anna Kostanska; Nikolai Juraschko; Beatriz Costa-Gomes; Colin M. Palmer; Jeyan Thiyagalingam; Tom Burnley; Mark Basham; Alan R. Lowe (ECCV Workshops (16), 2024)

Global Convergence of Alternating Direction Method of Multipliers for Invex Objective Losses. - Samuel Pinilla; Siu Lun Yeung; Jeyan Thiyagalingam (ICASSP, 2024)

Global Optimality for Non-linear Constrained Restoration Problems via Invexity. - Samuel Pinilla; Jeyan Thiyagalingam (ICLR, 2024)

Unsupervised Few-Shot Image Segmentation with Dense Feature Learning and Sparse Clustering. - Kuangdai Leng; Robert Atwood; Winfried Kockelmann; Deniza Chekrygina; Jeyan Thiyagalingam (VISIGRAPP (2): VISAPP, 2024)

Feature-Action Design Patterns for Storytelling Visualizations with Time Series Data. - Saiful Khan; Scott Jones; Benjamin Bach; Jaehoon Cha; Min Chen 001; Julie Meikle; Jonathan C. Roberts; Jeyan Thiyagalingam; Jo Wood; Panagiotis D. Ritsos (CoRR, 2024)

Deep Learning Evidence for Global Optimality of Gerver's Sofa. - Kuangdai Leng; Jia Bi; Jaehoon Cha; Samuel Pinilla; Jeyan Thiyagalingam (CoRR, 2024)

Zero coordinate shift: Whetted automatic differentiation for physics-informed operator learning. - Kuangdai Leng; Mallikarjun Shankar; Jeyan Thiyagalingam (J. Comput. Phys., 2024)

FAIR-MAST: A fusion device data management system. - Samuel Jackson; Saiful Khan; Nathan Cummings; James Hodson; Shaun De Witt; Stanislas Pamela; Rob J. Akers; Jeyan Thiyagalingam (SoftwareX, 2024)

Iterative Semantic Transformer by Greedy Distillation for Community Question Answering. - Jinmeng Wu; Tingting Mu; Jeyarajan Thiyagalingam; Hanyu Hong; Yanbin Hao; Tianxu Zhang; John Yannis Goulermas (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Enhancing Imaging Generation through Implicit Neural Representations and HyperNetwork for Spatial Variability. - Jaehoon Cha; Siu Lun Yeung; Siddharth Dhanpal; Jeyan Thiyagalingam (ICASSP, 2025)

Discovering fully semantic representations via centroid- and orientation-aware feature learning. - Jaehoon Cha; Jinhae Park; Samuel Pinilla; Kyle L. Morris; Christopher S. Allen; Mark I. Wilkinson; Jeyan Thiyagalingam (Nat. Mac. Intell., 2025)