Tho Quan

Orcid: 0000-0003-0467-6254

According to our database1, Tho Quan authored at least 30 papers between 2015 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Supervised learning models for social bot detection: Literature review and benchmark.
Expert Syst. Appl., March, 2024

Crossing Linguistic Horizons: Finetuning and Comprehensive Evaluation of Vietnamese Large Language Models.
CoRR, 2024

Crossing Linguistic Horizons: Finetuning and Comprehensive Evaluation of Vietnamese Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

XGA-Osteo: Towards XAI-Enabled Knee Osteoarthritis Diagnosis with Adversarial Learning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Cross-Data Knowledge Graph Construction for LLM-enabled Educational Question-Answering System: A Case Study at HCMUT.
Proceedings of the 1st ACM Workshop on AI-Powered Q&A Systems for Multimedia, 2024

Revitalizing Bahnaric Language through Neural Machine Translation: Challenges, Strategies, and Promising Outcomes.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

LAMPAT: Low-Rank Adaption for Multilingual Paraphrasing Using Adversarial Training.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Generative Artificial Intelligence for Software Engineering - A Research Agenda.
CoRR, 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

A Novel Approach for Non-Query Fake News Detection Using K-SOM and Graph Neural Networks.
Proceedings of the 15th International Conference on Knowledge and Systems Engineering, 2023

VN-Legal-KG: Vietnam Legal Knowledge Graph for Legal Statute Identification on Land Law Matters.
Proceedings of the Computational Data and Social Networks - 12th International Conference, 2023

2022
BeCaked<sup>+</sup>: An Explainable AI Model to Forecast Delta-Spreading Covid-19 Situations for Ho Chi Minh City.
Proceedings of the ICR'22 International Conference on Innovations in Computing Research, 2022

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

Sequence-in-Sequence Learning for SOH Estimation of Lithium-Ion Battery.
Proceedings of CECNet 2021, 2021

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

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

Ontology Enrichment for Aspect-Oriented Sentiment Analysis with Deep Learning Using Logical Concept Analysis.
J. Comput., 2019

A dynamic scheduling method for collaborated cloud with thick clients.
Int. Arab J. Inf. Technol., 2019

Nested Variational Autoencoder for Topic Modeling on Microtexts with Word Vectors.
CoRR, 2019

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

Towards Autoencoding Variational Inference for Aspect-Based Opinion Summary.
Appl. Artif. Intell., 2019

Transfer learning for a Vietnamese dialogue system.
Proceedings of the 11th International Conference on Knowledge and Systems Engineering, 2019

Star2vec: From Subspace Embedding to Whole-Space Embedding for Intelligent Recommendation System (Extended Abstract).
Proceedings of the Computational Data and Social Networks - 8th International Conference, 2019

2017
Combination of Domain Knowledge and Deep Learning for Sentiment Analysis.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2017

A Deep Architecture for Sentiment Analysis of News Articles.
Proceedings of the Advanced Computational Methods for Knowledge Engineering, 2017

Probabilistic modelling for congestion detection on wireless sensor networks.
Proceedings of the 4th International Conference on Control, 2017

2016
Smaller to Sharper: Efficient Web Service Composition and Verification Using On-the-fly Model Checking and Logic-Based Clustering.
Proceedings of the Computational Science and Its Applications - ICCSA 2016, 2016

Heuristic-Guided Verification for Fast Congestion Detection on Wireless Sensor Networks.
Proceedings of the Future Data and Security Engineering - Third International Conference, 2016

A Framework for Fast Congestion Detection in Wireless Sensor Networks Using Clustering and Petri-Net-based Verification.
Proceedings of the International Workshop on Petri Nets and Software Engineering 2016, 2016

2015
Component-Based Abstraction of Petri Net Models: An Application for Congestion Verification of Wireless Sensor Networks.
Proceedings of the Sixth International Symposium on Information and Communication Technology, 2015


  Loading...