Hieu Tran

62 papers A* 6A 2B 2C 2Journal 35Unranked 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Longitudinal Study of Usability in Identity-Based Software Signing.
CoRR
Kelechi G. Kalu, Hieu Tran, Santiago Torres-Arias, Sooyeon Jeong, James C. Davis
2026 A* conf
PRIME: Planning and Retrieval-Integrated Memory for Enhanced Reasoning.
AAAI
Hieu Tran, Zonghai Yao, Nguyen Luong Tran, Zhichao Yang, Feiyun Ouyang, Shuo Han, Razieh Rahimi, Hong Yu
2026 — conf
VietMix: A Naturally-Occurring Parallel Corpus and Augmentation Framework for Vietnamese-English Code-Mixed Machine Translation.
EACL (Volume 1: Long Papers)
Hieu Tran, Phuong-Anh Nguyen-Le, Huy Nghiem, Quang-Nhan Nguyen, Wei Ai, Marine Carpuat
2025 B conf
A Robot That Listens: Enhancing Self-Disclosure and Engagement Through Sentiment-based Backchannels and Active Listening.
RO-MAN
Hieu Tran, Go-Eum Cha, Sooyeon Jeong
2025 J jnl
A Robot That Listens: Enhancing Self-Disclosure and Engagement Through Sentiment-based Backchannels and Active Listening.
CoRR
Hieu Tran, Go-Eum Cha, Sooyeon Jeong
2025 — conf
Chatbot To Help Patients Understand Their Health.
EMNLP (Findings)
Won Seok Jang, Hieu Tran, Manav Mistry, SaiKiran Gandluri, Yifan Zhang, Sharmin Sultana, Sunjae Kwon, Yuan Zhang, Zonghai Yao, Hong Yu
2025 J jnl
Chatbot To Help Patients Understand Their Health.
CoRR
Won Seok Jang, Hieu Tran, Manav Mistry, SaiKiran Gandluri, Yifan Zhang, Sharmin Sultana, Sunjae Kown, Yuan Zhang, Zonghai Yao, Hong Yu
2025 J jnl
Decoding the Chameleon Game.
AI Matters
Tri Dang, Hieu Tran, Brian Howard, Sutthirut Charoenphon, Dat Nguyen
2025 J jnl
Enhancing LLMs for Identifying and Prioritizing Important Medical Jargons from Electronic Health Record Notes Utilizing Data Augmentation.
CoRR
Won Seok Jang, Sharmin Sultana, Zonghai Yao, Hieu Tran, Zhichao Yang, Sunjae Kwon, Hong Yu
2025 J jnl
Exploiting Tree Structure for Credit Assignment in RL Training of LLMs.
CoRR
Hieu Tran, Zonghai Yao, Hong Yu
2025 — conf
LEAF: Learning and Evaluation Augmented by Fact-Checking to Improve Factualness in Large Language Models.
EMNLP (Industry Track)
Hieu Tran, Junda Wang, Yujan Ting, Hong Yu, Weijing Huang, Terrence Chen
2025 J jnl
MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning.
CoRR
Hieu Tran, Zonghai Yao, Won Seok Jang, Sharmin Sultana, Allen Chang, Yuan Zhang, Hong Yu
2025 J jnl
PRIME: Planning and Retrieval-Integrated Memory for Enhanced Reasoning.
CoRR
Hieu Tran, Zonghai Yao, Nguyen Luong Tran, Zhichao Yang, Feiyun Ouyang, Shuo Han, Razieh Rahimi, Hong Yu
2025 — conf
RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models.
ACL (1)
Hieu Tran, Zonghai Yao, Zhichao Yang, Junda Wang, Yifan Zhang, Shuo Han, Feiyun Ouyang, Hong Yu
2025 J jnl
VietMix: A Naturally Occurring Vietnamese-English Code-Mixed Corpus with Iterative Augmentation for Machine Translation.
CoRR
Hieu Tran, Phuong-Anh Nguyen-Le, Huy Nghiem, Quang-Nhan Nguyen, Wei Ai, Marine Carpuat
2024 C conf
A Computer Vision Based Approach for Energy-Efficient Air Conditioner Control.
IEA/AIE
Tien K. Nguyen, Phu Vong, Hieu Tran, Taddy Truong, Binh T. Nguyen
2024 J jnl
BioInstruct: instruction tuning of large language models for biomedical natural language processing.
J. Am. Medical Informatics Assoc.
Hieu Tran, Zhichao Yang, Zonghai Yao, Hong Yu
2024 J jnl
Distillation Contrastive Decoding: Improving LLMs Reasoning with Contrastive Decoding and Distillation.
CoRR
Phuc Phan, Hieu Tran, Long Phan
2024 J jnl
LEAF: Learning and Evaluation Augmented by Fact-Checking to Improve Factualness in Large Language Models.
CoRR
Hieu Tran, Junda Wang, Yujan Ting, Weijing Huang, Terrence Chen
2024 J jnl
RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models.
CoRR
Hieu Tran, Zonghai Yao, Junda Wang, Yifan Zhang, Zhichao Yang, Hong Yu
2024 — conf
README: Bridging Medical Jargon and Lay Understanding for Patient Education through Data-Centric NLP.
EMNLP (Findings)
Zonghai Yao, Nandyala Siddharth Kantu, Guanghao Wei, Hieu Tran, Zhangqi Duan, Sunjae Kwon, Zhichao Yang, README annotation team, Hong Yu
2024 J jnl
ReadCtrl: Personalizing text generation with readability-controlled instruction learning.
CoRR
Hieu Tran, Zonghai Yao, Lingxi Li, Hong Yu
2024 J jnl
SemiHVision: Enhancing Medical Multimodal Models with a Semi-Human Annotated Dataset and Fine-Tuned Instruction Generation.
CoRR
Junda Wang, Yujan Ting, Eric Z. Chen, Hieu Tran, Hong Yu, Weijing Huang, Terrence Chen
2023 J jnl
BioInstruct: Instruction Tuning of Large Language Models for Biomedical Natural Language Processing.
CoRR
Hieu Tran, Zhichao Yang, Zonghai Yao, Hong Yu
2023 A* conf
Emotion-Aware Music Recommendation.
AAAI
Hieu Tran, Tuan Le, Anh Do, Tram Vu, Steven Bogaerts, Brian Howard
2023 A conf
Enriching Biomedical Knowledge for Low-resource Language Through Large-scale Translation.
EACL
Long Phan, Tai Dang, Hieu Tran, Trieu H. Trinh, Vy Phan, Lam D. Chau, Minh-Thang Luong
2023 — conf
Multi-Keyword Based Information Routing in Peer-to-Peer Networks.
ICOIN
Hieu Tran, Miao Miao, Farokh B. Bastani, I-Ling Yen
2023 J jnl
README: Bridging Medical Jargon and Lay Understanding for Patient Education through Data-Centric NLP.
CoRR
Zonghai Yao, Nandyala Siddharth Kantu, Guanghao Wei, Hieu Tran, Zhangqi Duan, Sunjae Kwon, Zhichao Yang, README annotation team, Hong Yu
2023 J jnl
The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset.
CoRR
Hugo Laurençon, Lucile Saulnier, Thomas Wang, Christopher Akiki, Albert Villanova del Moral, Teven Le Scao, Leandro von Werra, Chenghao Mou, Eduardo González Ponferrada, Huu Nguyen, Jörg Frohberg, Mario Sasko, Quentin Lhoest, Angelina McMillan-Major, Gérard Dupont, Stella Biderman, Anna Rogers, Loubna Ben Allal, Francesco De Toni, Giada Pistilli, Olivier Nguyen, Somaieh Nikpoor, Maraim Masoud, Pierre Colombo, Javier de la Rosa, Paulo Villegas, Tristan Thrush, Shayne Longpre, Sebastian Nagel, Leon Weber, Manuel Muñoz, Jian Zhu, Daniel van Strien, Zaid Alyafeai, Khalid Almubarak, Minh Chien Vu, Itziar Gonzalez-Dios, Aitor Soroa, Kyle Lo, Manan Dey, Pedro Ortiz Suarez, Aaron Gokaslan, Shamik Bose, David Ifeoluwa Adelani, Long Phan, Hieu Tran, Ian Yu, Suhas Pai, Jenny Chim, Violette Lepercq, Suzana Ilic, Margaret Mitchell, Sasha Luccioni, Yacine Jernite
2022 — conf
Computing-in-Memory with SuperFlash® memBrain™ Technology.
VLSI Technology and Circuits
Nhan Do, Hieu Tran, Mark Reiten
2022 J jnl
Enriching Biomedical Knowledge for Vietnamese Low-resource Language Through Large-Scale Translation.
CoRR
Long Phan, Tai Dang, Hieu Tran, Vy Phan, Lam D. Chau, Trieu H. Trinh
2022 C conf
Influence of Crop Burning on Air Pollution in Vietnam.
IGARSS
Hieu Tran, Akshansha Chauhan, Ramesh P. Singh
2022 J jnl
IoT Data Discovery: Routing Table and Summarization Techniques.
CoRR
Hieu Tran, Son Nguyen, I-Ling Yen, Farokh B. Bastani
2022 J jnl
MTet: Multi-domain Translation for English and Vietnamese.
CoRR
Chinh Ngo, Trieu H. Trinh, Long Phan, Hieu Tran, Tai Dang, Hieu Nguyen, Minh Nguyen, Minh-Thang Luong
2022 — conf
TLETA: Deep Transfer Learning and Integrated Cellular Knowledge for Estimated Time of Arrival Prediction.
ITSC
Hieu Tran, Son Nguyen, I-Ling Yen, Farokh B. Bastani
2022 J jnl
TLETA: Deep Transfer Learning and Integrated Cellular Knowledge for Estimated Time of Arrival Prediction.
CoRR
Hieu Tran, Son Nguyen, I-Ling Yen, Farokh B. Bastani
2022 A* conf
The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset.
NeurIPS
Hugo Laurençon, Lucile Saulnier, Thomas Wang, Christopher Akiki, Albert Villanova del Moral, Teven Le Scao, Leandro von Werra, Chenghao Mou, Eduardo González Ponferrada, Huu Nguyen, Jörg Frohberg, Mario Sasko, Quentin Lhoest, Angelina McMillan-Major, Gérard Dupont, Stella Biderman, Anna Rogers, Loubna Ben Allal, Francesco De Toni, Giada Pistilli, Olivier Nguyen, Somaieh Nikpoor, Maraim Masoud, Pierre Colombo, Javier de la Rosa, Paulo Villegas, Tristan Thrush, Shayne Longpre, Sebastian Nagel, Leon Weber, Manuel Muñoz, Jian Zhu, Daniel van Strien, Zaid Alyafeai, Khalid Almubarak, Minh Chien Vu, Itziar Gonzalez-Dios, Aitor Soroa, Kyle Lo, Manan Dey, Pedro Ortiz Suarez, Aaron Gokaslan, Shamik Bose, David Ifeoluwa Adelani, Long Phan, Hieu Tran, Ian Yu, Suhas Pai, Jenny Chim, Violette Lepercq, Suzana Ilic, Margaret Mitchell, Alexandra Sasha Luccioni, Yacine Jernite
2022 J jnl
Transfer Reinforcement Learning for Differing Action Spaces via Q-Network Representations.
CoRR
Nathan Beck, Abhiramon Rajasekharan, Hieu Tran
2022 — conf
ViT5: Pretrained Text-to-Text Transformer for Vietnamese Language Generation.
NAACL-HLT (Student Research Workshop)
Long Phan, Hieu Tran, Hieu Nguyen, Trieu H. Trinh
2022 J jnl
ViT5: Pretrained Text-to-Text Transformer for Vietnamese Language Generation.
CoRR
Long Phan, Hieu Tran, Hieu Nguyen, Trieu H. Trinh
2022 — conf
Vietnamese Speech-based Question Answering over Car Manuals.
IUI Companion
Tin Duy Vo, Manh Luong, Duong Minh Le, Hieu Tran, Nhan Do, Tuan-Duy H. Nguyen, Thien Nguyen, Hung Bui, Dat Quoc Nguyen, Dinh Q. Phung
2021 — conf
An Efficient Transformer-Based Model for Vietnamese Punctuation Prediction.
IEA/AIE (2)
Hieu Tran, Cuong V. Dinh, Quang Pham, Binh T. Nguyen
2021 J jnl
CoTexT: Multi-task Learning with Code-Text Transformer.
CoRR
Long N. Phan, Hieu Tran, Daniel Le, Hieu Nguyen, James T. Anibal, Alec Peltekian, Yanfang Ye
2021 — conf
Hierarchical Transformer Encoders for Vietnamese Spelling Correction.
IEA/AIE (1)
Hieu Tran, Cuong V. Dinh, Long Phan, Son Truong Nguyen
2021 J jnl
Hierarchical Transformer Encoders for Vietnamese Spelling Correction.
CoRR
Hieu Tran, Cuong V. Dinh, Long N. Phan, Son Truong Nguyen
2021 B conf
Into Summarization Techniques for IoT Data Discovery Routing.
CLOUD
Hieu Tran, Son Nguyen, I-Ling Yen, Farokh B. Bastani
2021 J jnl
Into Summarization Techniques for IoT Data Discovery Routing.
CoRR
Hieu Tran, Son Nguyen, I-Ling Yen, Farokh B. Bastani
2021 J jnl
SPBERT: An Efficient Pre-training BERT on SPARQL Queries for Question Answering over Knowledge Graphs.
CoRR
Hieu Tran, Long Phan, James T. Anibal, Binh T. Nguyen, Truong-Son Nguyen
2021 — conf
SPBERT: an Efficient Pre-training BERT on SPARQL Queries for Question Answering over Knowledge Graphs.
ICONIP (1)
Hieu Tran, Long Phan, James T. Anibal, Binh T. Nguyen, Truong-Son Nguyen
2021 J jnl
SciFive: a text-to-text transformer model for biomedical literature.
CoRR
Long N. Phan, James T. Anibal, Hieu Tran, Shaurya Chanana, Erol Bahadroglu, Alec Peltekian, Grégoire Altan-Bonnet
2021 J jnl
VieSum: How Robust Are Transformer-based Models on Vietnamese Summarization?
CoRR
Hieu Nguyen, Long Phan, James T. Anibal, Alec Peltekian, Hieu Tran
2021 J jnl
oneVFC - A Vehicular Fog Computation Platform for Artificial Intelligence in Internet of Vehicles.
IEEE Access
Kieu-Ha Phung, Hieu Tran, Thang V. Nguyen, Dao Viet-Hung, Vinh Tran-Quang, Thu-Huong Truong, An Braeken, Kris Steenhaut
2019 J jnl
Detection and Prediction of Users Attitude Based on Real-Time and Batch Sentiment Analysis of Facebook Comments.
CoRR
Hieu Tran, Maxim Shcherbakov
2019 J jnl
Does BLEU Score Work for Code Migration?
CoRR
Ngoc M. Tran, Hieu Tran, Son Nguyen, Hoan Nguyen, Tien N. Nguyen
2019 A conf
Does BLEU score work for code migration?
ICPC
Ngoc M. Tran, Hieu Tran, Son Nguyen, Hoan Nguyen, Tien N. Nguyen
2019 A* conf
Feature-Interaction Aware Configuration Prioritization for Configurable Code.
ASE
Son Nguyen, Hoan Nguyen, Ngoc M. Tran, Hieu Tran, Tien N. Nguyen
2019 J jnl
Feature-Interaction Aware Configuration Prioritization for Configurable Code.
CoRR
Son Nguyen, Hoan Nguyen, Ngoc M. Tran, Hieu Tran, Tien N. Nguyen
2019 A* conf
Graph-based mining of in-the-wild, fine-grained, semantic code change patterns.
ICSE
Hoan Anh Nguyen, Tien N. Nguyen, Danny Dig, Son Nguyen, Hieu Tran, Michael Hilton
2019 J jnl
Recovering Variable Names for Minified Code with Usage Contexts.
CoRR
Hieu Tran, Ngoc M. Tran, Son Nguyen, Hoan Nguyen, Tien N. Nguyen
2019 A* conf
Recovering variable names for minified code with usage contexts.
ICSE
Hieu Tran, Ngoc M. Tran, Son Nguyen, Hoan Nguyen, Tien N. Nguyen
2016 — conf
Detection and Prediction of Users Attitude Based on Real-Time and Batch Sentiment Analysis of Facebook Comments.
CSoNet
Hieu Tran, Maxim Shcherbakov
2011 — conf
Towards the Development of Large-Scale Data Warehouse Application Frameworks.
CONFENIS
Duong Thi Anh Hoang, Hieu Tran, Binh Thanh Nguyen, A Min Tjoa