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ORCIDTho Quan
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- Thanh Tho Quan (aka: Than-Tho Quan)
- Tho T. Quan
- Tho Thanh Quan
- Tho Quan Thanh
- Quan Thanh Tho (aka: Thanh-Tho Quan)
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2020 – today
- 2024
[j5]Hoang-Dung Nguyen
, Quang Duc Nguyen, Cong-Duy Nguyen, Phong T. To, Danh H. Nguyen, Huy Nguyen-Gia, Long H. Tran, Anh Q. Tran, An Dang-Hieu, Anh Nguyen-Duc, Tho Quan:
Supervised learning models for social bot detection: Literature review and benchmark. Expert Syst. Appl. 238(Part E): 122217 (2024)- [c21]Khoi M. Le, Trinh Pham, Tho Quan, Anh Tuan Luu:
LAMPAT: Low-Rank Adaption for Multilingual Paraphrasing Using Adversarial Training. AAAI 2024: 18435-18443 - [c20]Hoang Nhat Khang Vo, Duc Dong Le, Tran Minh Dat Phan, Tan Sang Nguyen, Quoc Nguyen Pham, Ngoc Oanh Tran, Quang Duc Nguyen, Tran Minh Hieu Vo, Tho Quan:
Revitalizing Bahnaric Language through Neural Machine Translation: Challenges, Strategies, and Promising Outcomes. AAAI 2024: 23360-23368 - [c19]Tuan Bui, Oanh Tran, Phuong Nguyen, Bao Ho, Long Nguyen, Thang Bui, Tho Quan:
Cross-Data Knowledge Graph Construction for LLM-enabled Educational Question-Answering System: A Case Study at HCMUT. AIQAM@ICMR 2024: 36-43 - [c18]Hieu Phan Trung, Loc Le Tan, Mao Nguyen, Phat Nguyen, Sang Nguyen, Minh-Triet Tran, Tho Quan:
XGA-Osteo: Towards XAI-Enabled Knee Osteoarthritis Diagnosis with Adversarial Learning. IJCAI 2024: 8771-8775 - [c17]Sang T. Truong, Duc Nguyen, Toan Nguyen, Dong D. Le, Nhi N. Truong, Tho Quan, Sanmi Koyejo:
Crossing Linguistic Horizons: Finetuning and Comprehensive Evaluation of Vietnamese Large Language Models. NAACL-HLT (Findings) 2024: 2849-2900 - [i10]Khoi M. Le, Trinh Pham, Tho Quan, Anh Tuan Luu:
LAMPAT: Low-Rank Adaption for Multilingual Paraphrasing Using Adversarial Training. CoRR abs/2401.04348 (2024) - [i9]Sang T. Truong, Duc Q. Nguyen, Toan Nguyen, Dong D. Le, Nhi N. Truong, Tho Quan, Sanmi Koyejo:
Crossing Linguistic Horizons: Finetuning and Comprehensive Evaluation of Vietnamese Large Language Models. CoRR abs/2403.02715 (2024) - [i8]Tuan Bui, Oanh Tran, Phuong Nguyen, Bao Ho, Long Nguyen, Thang Bui, Tho Quan:
Cross-Data Knowledge Graph Construction for LLM-enabled Educational Question-Answering System: A~Case~Study~at~HCMUT. CoRR abs/2404.09296 (2024) - 2023
- [c16]Duc Nguyen, Thien Huynh, Thang Phung, Thu Bui, Phuong Thai, Long Huynh, Ty Nguyen, An Nguyen, Huu Pham, Tho Quan:
VN-Legal-KG: Vietnam Legal Knowledge Graph for Legal Statute Identification on Land Law Matters. CSoNet 2023: 102-110 - [c15]Hoang-Danh Nguyen, Thanh-Phong To, Duc Quang Nguyen, Thanh-Trung Huynh, Tham Tran, Cong-Tuan Bui, Tho Quan:
A Novel Approach for Non-Query Fake News Detection Using K-SOM and Graph Neural Networks. KSE 2023: 1-6 - [c14]Cong-Duy Nguyen, The-Anh Vu-Le, Thong Nguyen, Tho Quan, Anh Tuan Luu:
Expand BERT Representation with Visual Information via Grounded Language Learning with Multimodal Partial Alignment. ACM Multimedia 2023: 5665-5673 - [i7]Anh Nguyen-Duc, Beatriz Cabrero Daniel, Adam Przybylek, Chetan Arora, Dron Khanna, Tomas Herda, Usman Rafiq, Jorge Melegati, Eduardo Guerra, Kai-Kristian Kemell, Mika Saari, Zheying Zhang, Huy Le, Tho Quan, Pekka Abrahamsson:
Generative Artificial Intelligence for Software Engineering - A Research Agenda. CoRR abs/2310.18648 (2023) - [i6]Cong-Duy Nguyen, The-Anh Vu-Le, Thong Nguyen, Tho Quan, Luu Anh Tuan:
Expand BERT Representation with Visual Information via Grounded Language Learning with Multimodal Partial Alignment. CoRR abs/2312.01592 (2023) - 2022
- [c13]Cuong Nguyen, Minh Nguyen, Duc Nguyen, Thinh Nguyen, Khuong Nguyen-An, Chon Le, Tho Quan:
BeCaked+: An Explainable AI Model to Forecast Delta-Spreading Covid-19 Situations for Ho Chi Minh City. ICR 2022: 53-64 - 2021
- [c12]Thien Pham, Loi Truong, Mao Nguyen, Akhil Garg, Liang Gao, Tho Quan:
Sequence-in-Sequence Learning for SOH Estimation of Lithium-Ion Battery. CECNet 2021: 14-25 - [c11]Thong Nguyen, Anh Tuan Luu, Truc Lu, Tho Quan:
Enriching and Controlling Global Semantics for Text Summarization. EMNLP (1) 2021: 9443-9456 - [i5]Thong Nguyen, Anh Tuan Luu, Truc Lu, Tho Quan:
Enriching and Controlling Global Semantics for Text Summarization. CoRR abs/2109.10616 (2021) - 2020
- [c10]Duy Nguyen, Duc Nguyen, Thong Nguyen, Khoi Ngo, Hung Cao, Thinh Vuong, Tho Quan:
Automatic Container Code Recognition Using MultiDeep Pipeline. ICCCI (CCIS Volume) 2020: 139-153
2010 – 2019
- 2019
- [j4]Tai Hoang, Huy Le, Tho Quan:
Towards Autoencoding Variational Inference for Aspect-Based Opinion Summary. Appl. Artif. Intell. 33(9): 796-816 (2019) - [j3]Pham Phuoc Hung, Md. Golam Rabiul Alam, Hai Nguyen, Tho Quan, Eui-Nam Huh:
A dynamic scheduling method for collaborated cloud with thick clients. Int. Arab J. Inf. Technol. 16(4): 633-643 (2019) - [j2]Tho Quan, Trung Mai:
Ontology Enrichment for Aspect-Oriented Sentiment Analysis with Deep Learning Using Logical Concept Analysis. J. Comput. 14(12): 650-661 (2019) - [j1]Khuong Vo, Tri Nguyen, Dang Pham, Mao Nguyen, Minh Truong, Dinh Nguyen, Tho Quan:
Handling negative mentions on social media channels using deep learning. J. Inf. Telecommun. 3(3): 271-293 (2019) - [c9]Quang Nguyen, Vu Nguyen, Doi Tran, Trung Mai, Tho Quan:
Star2vec: From Subspace Embedding to Whole-Space Embedding for Intelligent Recommendation System (Extended Abstract). CSoNet 2019: 70-71 - [c8]Dang Pham, Huy Le, Tho Quan:
Transfer learning for a Vietnamese dialogue system. KSE 2019: 1-5 - [i4]Tai Hoang, Huy Le, Tho Quan:
Towards Autoencoding Variational Inference for Aspect-based Opinion Summary. CoRR abs/1902.02507 (2019) - [i3]Khuong Vo, Tri Nguyen, Dang Pham, Mao Nguyen, Minh Truong, Trung Mai, Tho Quan:
Combination of Domain Knowledge and Deep Learning for Sentiment Analysis of Short and Informal Messages on Social Media. CoRR abs/1902.06050 (2019) - [i2]Trung Trinh, Tho Quan, Trung Mai:
Nested Variational Autoencoder for Topic Modeling on Microtexts with Word Vectors. CoRR abs/1905.00195 (2019) - 2018
- [i1]Khuong Vo, Dang Pham, Mao Nguyen, Trung Mai, Tho Quan:
Combination of Domain Knowledge and Deep Learning for Sentiment Analysis. CoRR abs/1806.08760 (2018) - 2017
- [c7]Khanh Le, Giang V. Trinh, Thang H. Bui, Tho Quan:
Probabilistic modelling for congestion detection on wireless sensor networks. CoDIT 2017: 190-195 - [c6]Dinh Nguyen, Khuong Vo, Dang Pham, Mao Nguyen, Tho Quan:
A Deep Architecture for Sentiment Analysis of News Articles. ICCSAMA 2017: 129-140 - [c5]Khuong Vo, Dang Pham, Mao Nguyen, Trung Mai, Tho Quan:
Combination of Domain Knowledge and Deep Learning for Sentiment Analysis. MIWAI 2017: 162-173 - 2016
- [c4]Khanh Le, Thang H. Bui, Tho Quan, Laure Petrucci:
A Framework for Fast Congestion Detection in Wireless Sensor Networks Using Clustering and Petri-Net-based Verification. PNSE @ Petri Nets 2016: 329-334 - [c3]Khanh Le, Toan Nguyen, Thanh Cao, Thang H. Bui, Tho Quan:
Heuristic-Guided Verification for Fast Congestion Detection on Wireless Sensor Networks. FDSE 2016: 105-116 - [c2]Khai T. Huynh, Tho Quan, Thang H. Bui:
Smaller to Sharper: Efficient Web Service Composition and Verification Using On-the-fly Model Checking and Logic-Based Clustering. ICCSA (4) 2016: 453-468 - 2015
- [c1]Khanh Le, Thang H. Bui, Tho Quan, Laure Petrucci, Étienne André:
Component-Based Abstraction of Petri Net Models: An Application for Congestion Verification of Wireless Sensor Networks. SoICT 2015: 342-349
Coauthor Index
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