Thong Nguyen

Orcid: 0000-0003-0607-0723

According to our database1, Thong Nguyen authored at least 39 papers between 1997 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A survey on neural topic models: methods, applications, and challenges.
Artif. Intell. Rev., February, 2024

KDMCSE: Knowledge Distillation Multimodal Sentence Embeddings with Adaptive Angular margin Contrastive Learning.
CoRR, 2024

Multimodal Learned Sparse Retrieval for Image Suggestion.
CoRR, 2024

Topic Modeling as Multi-Objective Contrastive Optimization.
CoRR, 2024

A Solution for Commercializing, Decentralizing and Storing Electronic Medical Records by Integrating Proxy Re-Encryption, IPFS, and Blockchain.
CoRR, 2024

Multimodal Learned Sparse Retrieval with Probabilistic Expansion Control.
Proceedings of the Advances in Information Retrieval, 2024

On the Affinity, Rationality, and Diversity of Hierarchical Topic Modeling.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling.
CoRR, 2023

Generative Retrieval as Dense Retrieval.
CoRR, 2023

Effective Neural Topic Modeling with Embedding Clustering Regularization.
CoRR, 2023

Adapting Learned Sparse Retrieval for Long Documents.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Expand BERT Representation with Visual Information via Grounded Language Learning with Multimodal Partial Alignment.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

DemaFormer: Damped Exponential Moving Average Transformer with Energy-Based Modeling for Temporal Language Grounding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Improving Multimodal Sentiment Analysis: Supervised Angular margin-based Contrastive Learning for Enhanced Fusion Representation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

A Unified Framework for Learned Sparse Retrieval.
Proceedings of the Advances in Information Retrieval, 2023

Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual Topic Modeling.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Predictions.
CoRR, 2022

Vision-and-Language Pretraining.
CoRR, 2022

Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Prediction.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Improving the Generalizability of Depression Detection by Leveraging Clinical Questionnaires.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Machine learning based models for signal integrity analysis
PhD thesis, 2021

Improving Neural Cross-Lingual Summarization via Employing Optimal Transport Distance for Knowledge Distillation.
CoRR, 2021

DiffIR: Exploring Differences in Ranking Models' Behavior.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Contrastive Learning for Neural Topic Model.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Enriching and Controlling Global Semantics for Text Summarization.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Adaptive Name Entity Recognition under Highly Unbalanced Data.
CoRR, 2020

PAM-4 Behavioral Modeling using Machine Learning via Laguerre-Volterra Expansion.
Proceedings of the 11th IEEE Latin American Symposium on Circuits & Systems, 2020

Automatic Container Code Recognition Using MultiDeep Pipeline.
Proceedings of the Advances in Computational Collective Intelligence, 2020

2019
Fast Transient Simulation of High-Speed Channels Using Recurrent Neural Network.
CoRR, 2019

2017
Binding of carboxylate and trimethylammonium salts to octa-acid and TEMOA deep-cavity cavitands.
J. Comput. Aided Mol. Des., 2017

2014
Systems' Integration Technical Risks' Assessment Model (SITRAM).
IEEE Trans. Syst. Man Cybern. Syst., 2014

2013
The Systems Integration Technical Risk assessment fusing of Bayesian Belief Networks and Parametric Models.
J. Intell. Fuzzy Syst., 2013

2010
A Statistical Method for Middleware System Architecture Evaluation.
Proceedings of the 21st Australian Software Engineering Conference (ASWEC 2010), 2010

Quantitative Analysis for Non-linear System Performance Data Using Case-Based Reasoning.
Proceedings of the 17th Asia Pacific Software Engineering Conference, 2010

2009
Quality Assessment of Mission Critical Middleware System Using MEMS.
Proceedings of the Ninth International Conference on Quality Software, 2009

2008
Introducing Tool Support for Managing Architectural Knowledge: An Experience Report.
Proceedings of the 15th Annual IEEE International Conference and Workshop on Engineering of Computer Based Systems (ECBS 2008), 31 March, 2008

1997
A multi-agent architecture for situation awareness.
Proceedings of the Knowledge-Based Intelligent Electronic Systems, 1997


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