Tri Nguyen

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
Exploring the integration of edge computing and blockchain IoT: Principles, architectures, security, and applications.
J. Netw. Comput. Appl., 2024

Corrigendum: Applications and techniques for fast machine learning in science.
Frontiers Big Data, 2024

Exascale Simulations of Fusion and Fission Systems.
CoRR, 2024

How DREAMS are made: Emulating Satellite Galaxy and Subhalo Populations with Diffusion Models and Point Clouds.
CoRR, 2024

Large language models in 6G security: challenges and opportunities.
CoRR, 2024

Enhancing Sequential Recommendation System For MOOCs Based On Heterogeneous Information Networks.
Proceedings of the International Conference on Multimedia Analysis and Pattern Recognition, 2024

ShapeFormer: Shape Prior Visible-to-Amodal Transformer-based Amodal Instance Segmentation.
Proceedings of the International Joint Conference on Neural Networks, 2024

Significantly Improving Fixed-Ratio Compression Framework for Resource-limited Applications.
Proceedings of the 53rd International Conference on Parallel Processing, 2024

Wait or Not to Wait: Evaluating Trade-Offs between Speed and Precision in Blockchain-based Federated Aggregation.
Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, ICDCS 2024, 2024

Distributed Key Architecture for Blockchain Wallets.
Proceedings of the 16th International Conference on Computer and Automation Engineering, 2024

Fair Consensus in Blockchain with Heterogeneous Miners using Reinforcement Learning aided Adaptive Proof-of-Work.
Proceedings of the 21st IEEE Consumer Communications & Networking Conference, 2024

A Transducers-based Programming Framework for Efficient Data Transformation.
Proceedings of the 2024 International Conference on Parallel Architectures and Compilation Techniques, 2024

2023
TrustedMaaS: Transforming trust and transparency Mobility-as-a-Service with blockchain.
Future Gener. Comput. Syst., December, 2023

Image-Based Ship Detection Using Deep Variational Information Bottleneck.
Sensors, October, 2023

Perspectives on Negative Research Results in Pervasive Computing.
IEEE Pervasive Comput., 2023

An advanced Internet-of-Drones System with Blockchain for improving quality of service of Search and Rescue: A feasibility study.
Future Gener. Comput. Syst., 2023

Augmented Reality for Maintenance Tasks with ChatGPT for Automated Text-to-Action.
CoRR, 2023

The XPRESS Challenge: Xray Projectomic Reconstruction - Extracting Segmentation with Skeletons.
CoRR, 2023

EmbryosFormer: Deformable Transformer and Collaborative Encoding-Decoding for Embryos Stage Development Classification.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Unpaired Image Enhancement for Neurite Segmentation in x-ray Tomography.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Deep Clustering with Incomplete Noisy Pairwise Annotations: A Geometric Regularization Approach.
Proceedings of the International Conference on Machine Learning, 2023

Deep Learning From Crowdsourced Labels: Coupled Cross-Entropy Minimization, Identifiability, and Regularization.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

GenQ: Automated Question Generation to Support Caregivers While Reading Stories with Children.
Proceedings of the XI Latin American Conference on Human Computer Interaction, 2023

Hierarchical Uncertainty Aggregation and Emphasis Loss for Active Learning in Object Detection.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Memory-Efficient Convex Optimization for Self-Dictionary Separable Nonnegative Matrix Factorization: A Frank-Wolfe Approach.
IEEE Trans. Signal Process., 2022

Applications and Techniques for Fast Machine Learning in Science.
Frontiers Big Data, 2022

Uncovering dark matter density profiles in dwarf galaxies with graph neural networks.
CoRR, 2022

Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestration.
CoRR, 2022

A GPU-accelerated Data Transformation Framework Rooted in Pushdown Transducers.
Proceedings of the 29th IEEE International Conference on High Performance Computing, 2022

Situation Awareness for Autonomous Vehicles Using Blockchain-Based Service Cooperation.
Proceedings of the Advanced Information Systems Engineering, 2022

Data Transformation Acceleration using Deterministic Finite-State Transducers.
Proceedings of the IEEE International Conference on Big Data, 2022

Memory-Efficient Convex Optimization for Self-Dictionary Nonnegative Matrix Factorization.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021
Enhancing gravitational-wave science with machine learning.
Mach. Learn. Sci. Technol., 2021

Applications and Techniques for Fast Machine Learning in Science.
CoRR, 2021

GraphDTA: predicting drug-target binding affinity with graph neural networks.
Bioinform., 2021

A Novel Internet-of-Drones and Blockchain-based System Architecture for Search and Rescue.
Proceedings of the IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems, 2021

StressNAS: Affect State and Stress Detection Using Neural Architecture Search.
Proceedings of the UbiComp/ISWC '21: 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2021 ACM International Symposium on Wearable Computers, 2021

PILOT: a Runtime System to Manage Multi-tenant GPU Unified Memory Footprint.
Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021

Parent-EMBRACE: An Adaptive Dialogic Reading Intervention.
Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

2019
Handling negative mentions on social media channels using deep learning.
J. Inf. Telecommun., 2019

VIETHERB: A Database for Vietnamese Herbal Species.
J. Chem. Inf. Model., 2019

Combination of domain knowledge and deep learning for sentiment analysis of short and informal messages on social media.
Int. J. Comput. Vis. Robotics, 2019

Combination of Domain Knowledge and Deep Learning for Sentiment Analysis of Short and Informal Messages on Social Media.
CoRR, 2019

2017
Tablet app for child cognitive assessment in low and middle income countries.
Proceedings of the IEEE Global Humanitarian Technology Conference, 2017

A cognitive radio TV prototype for effective TV spectrum sharing.
Proceedings of the 2017 IEEE International Symposium on Dynamic Spectrum Access Networks, 2017

The Internet of Things: Can a Tree Talk to You?
Proceedings of the 23rd Americas Conference on Information Systems, 2017

2016
MS MARCO: A Human Generated MAchine Reading COmprehension Dataset.
Proceedings of the Workshop on Cognitive Computation: Integrating neural and symbolic approaches 2016 co-located with the 30th Annual Conference on Neural Information Processing Systems (NIPS 2016), 2016

Predictive Tool for Software Team Performance.
Proceedings of the 23rd Asia-Pacific Software Engineering Conference, 2016

2011
Specification and Verification of Time Properties in Distributed Automation Systems during Test Planning Phase.
Proceedings of the Workshop Proceedings of the 35th Annual IEEE International Computer Software and Applications Conference, 2011

2006
Per-Thread Batch Queues For Multithreaded Programs.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications & Conference on Real-Time Computing Systems and Applications, 2006

2004
The Interplay of Ranks of Submatrices.
SIAM Rev., 2004

1997
Ultrasound image coding using shape-adaptive DCT and adaptive quantization.
Proceedings of the Medical Imaging 1997: Image Display, 1997


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