Dang Nguyen

53 papers A* 5B 7C 1Journal 30Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Email in the Era of LLMs.
CoRR
Dang Nguyen, Harvey Yiyun Fu, Peter West, Chenhao Tan, Ari Holtzman
2025 — conf
AI-Driven Deep Learning Approach for Pan-Cancer Immune Profiling.
MedInfo
Minh Huu Nhat Le, Ha-Hieu Pham, Huy Quoc Nguyen, Hong Xuan Ong, Hien Quang Kha, Phat Ky Nguyen, Thanh-Huy Nguyen, Han Hong Huynh, Dang Nguyen, Thanh-Minh Nguyen, An Thuy Vo, Thuy Vu Minh Nguyen, Lam Huu Phuc Nguyen, Trung Minh Tu Tran, Nguyen Quoc Khanh Le
2025 — conf
Beyond Semantic Entropy: Boosting LLM Uncertainty Quantification with Pairwise Semantic Similarity.
ACL (Findings)
Dang Nguyen, Ali Payani, Baharan Mirzasoleiman
2025 J jnl
Beyond Semantic Entropy: Boosting LLM Uncertainty Quantification with Pairwise Semantic Similarity.
CoRR
Dang Nguyen, Ali Payani, Baharan Mirzasoleiman
2025 J jnl
Can They Dixit? Yes they Can! Dixit as a Playground for Multimodal Language Model Capabilities.
CoRR
Nishant Balepur, Dang Nguyen, Dayeon Ki
2025 J jnl
ChartAB: A Benchmark for Chart Grounding & Dense Alignment.
CoRR
Aniruddh Bansal, Davit Soselia, Dang Nguyen, Tianyi Zhou
2025 J jnl
CoSTA∗: Cost-Sensitive Toolpath Agent for Multi-turn Image Editing.
CoRR
Advait Gupta, NandaKiran Velaga, Dang Nguyen, Tianyi Zhou
2025 J jnl
ColorBench: Can VLMs See and Understand the Colorful World? A Comprehensive Benchmark for Color Perception, Reasoning, and Robustness.
CoRR
Yijun Liang, Ming Li, Chenrui Fan, Ziyue Li, Dang Nguyen, Kwesi Cobbina, Shweta Bhardwaj, Jiuhai Chen, Fuxiao Liu, Tianyi Zhou
2025 J jnl
Data Selection for Fine-tuning Vision Language Models via Cross Modal Alignment Trajectories.
CoRR
Nilay Naharas, Dang Nguyen, Neslihan Bulut, MohammadHossein Bateni, Vahab Mirrokni, Baharan Mirzasoleiman
2025 J jnl
Deep Learning-Based Integrated System for Intraoperative Blood Loss Quantification in Surgical Sponges.
IEEE J. Biomed. Health Informatics
Dang Nguyen, Minh Huu Nhat Le, Trung Q. Le, Chinyere Charles-Okezie, Michael J. Diaz, Cameron Sabet, Hung The Dang, Tuan Nguyen, Hoan Nguyen, Minh Tran, Nguyen-Quoc-Khanh Le, Aaron Muncey, Phat K. Huynh
2025 J jnl
Do We Need All the Synthetic Data? Towards Targeted Synthetic Image Augmentation via Diffusion Models.
CoRR
Dang Nguyen, Jiping Li, JingHao Zheng, Baharan Mirzasoleiman
2025 J jnl
FaSTA
CoRR
Advait Gupta, Rishie Raj, Dang Nguyen, Tianyi Zhou
2025 — conf
GUI Agents: A Survey.
ACL (Findings)
Dang Nguyen, Jian Chen, Yu Wang, Gang Wu, Namyong Park, Zhengmian Hu, Hanjia Lyu, Junda Wu, Ryan Aponte, Yu Xia, Xintong Li, Jing Shi, Hongjie Chen, Viet Dac Lai, Zhouhang Xie, Sungchul Kim, Ruiyi Zhang, Tong Yu, Md. Mehrab Tanjim, Nesreen K. Ahmed, Puneet Mathur, Seunghyun Yoon, Lina Yao, Branislav Kveton, Jihyung Kil, Thien Huu Nguyen, Trung Bui, Tianyi Zhou, Ryan A. Rossi, Franck Dernoncourt
2025 J jnl
Leveraging Multicriteria Integer Programming Optimization for Effective Team Formation.
IEEE Trans. Learn. Technol.
Pallavi Singh, Phat K. Huynh, Dang Nguyen, Trung Q. Le, Wilfrido Alejandro Moreno
2025 A* conf
Mini-batch Coresets for Memory-efficient Language Model Training on Data Mixtures.
ICLR
Dang Nguyen, Wenhan Yang, Rathul Anand, Yu Yang, Baharan Mirzasoleiman
2025 J jnl
OWLViz: An Open-World Benchmark for Visual Question Answering.
CoRR
Thuy Nguyen, Dang Nguyen, Hoang Nguyen, Thuan Luong, Long Hoang Dang, Viet Dac Lai
2025 J jnl
On the Effectiveness and Generalization of Race Representations for Debiasing High-Stakes Decisions.
CoRR
Dang Nguyen, Chenhao Tan
2025 — conf
RuleR: Improving LLM Controllability by Rule-based Data Recycling.
NAACL (Short Papers)
Ming Li, Han Chen, Chenguang Wang, Dang Nguyen, Dianqi Li, Tianyi Zhou
2025 A* conf
Synthetic Text Generation for Training Large Language Models via Gradient Matching.
ICML
Dang Nguyen, Zeman Li, MohammadHossein Bateni, Vahab Mirrokni, Meisam Razaviyayn, Baharan Mirzasoleiman
2025 J jnl
Synthetic Text Generation for Training Large Language Models via Gradient Matching.
CoRR
Dang Nguyen, Zeman Li, MohammadHossein Bateni, Vahab Mirrokni, Meisam Razaviyayn, Baharan Mirzasoleiman
2024 A* conf
Changing the Training Data Distribution to Reduce Simplicity Bias Improves In-distribution Generalization.
NeurIPS
Dang Nguyen, Paymon Haddad, Eric Gan, Baharan Mirzasoleiman
2024 J jnl
Convenient efficiency: A media genealogy of QR codes.
New Media Soc.
Dang Nguyen
2024 J jnl
DynaSaur: Large Language Agents Beyond Predefined Actions.
CoRR
Dang Nguyen, Viet Dac Lai, Seunghyun Yoon, Ryan A. Rossi, Handong Zhao, Ruiyi Zhang, Puneet Mathur, Nedim Lipka, Yu Wang, Trung Bui, Franck Dernoncourt, Tianyi Zhou
2024 J jnl
GUI Agents: A Survey.
CoRR
Dang Nguyen, Jian Chen, Yu Wang, Gang Wu, Namyong Park, Zhengmian Hu, Hanjia Lyu, Junda Wu, Ryan Aponte, Yu Xia, Xintong Li, Jing Shi, Hongjie Chen, Viet Dac Lai, Zhouhang Xie, Sungchul Kim, Ruiyi Zhang, Tong Yu, Md. Mehrab Tanjim, Nesreen K. Ahmed, Puneet Mathur, Seunghyun Yoon, Lina Yao, Branislav Kveton, Thien Huu Nguyen, Trung Bui, Tianyi Zhou, Ryan A. Rossi, Franck Dernoncourt
2024 J jnl
Make the Most of Your Data: Changing the Training Data Distribution to Improve In-distribution Generalization Performance.
CoRR
Dang Nguyen, Paymon Haddad, Eric Gan, Baharan Mirzasoleiman
2024 J jnl
Memory-efficient Training of LLMs with Larger Mini-batches.
CoRR
Dang Nguyen, Wenhan Yang, Rathul Anand, Yu Yang, Baharan Mirzasoleiman
2024 — conf
Multi-Objective Linguistic Control of Large Language Models.
ACL (Findings)
Dang Nguyen, Jiuhai Chen, Tianyi Zhou
2024 J jnl
Multi-Objective Linguistic Control of Large Language Models.
CoRR
Dang Nguyen, Jiuhai Chen, Tianyi Zhou
2024 J jnl
Multi-level Phenotypic Models of Cardiovascular Disease and Obstructive Sleep Apnea Comorbidities: A Longitudinal Wisconsin Sleep Cohort Study.
CoRR
Duy Nguyen, Ca Hoang, Phat K. Huynh, Tien Truong, Dang Nguyen, Abhay Sharma, Trung Q. Le
2024 J jnl
Personalized Multimodal Large Language Models: A Survey.
CoRR
Junda Wu, Hanjia Lyu, Yu Xia, Zhehao Zhang, Joe Barrow, Ishita Kumar, Mehrnoosh Mirtaheri, Hongjie Chen, Ryan A. Rossi, Franck Dernoncourt, Tong Yu, Ruiyi Zhang, Jiuxiang Gu, Nesreen K. Ahmed, Yu Wang, Xiang Chen, Hanieh Deilamsalehy, Namyong Park, Sungchul Kim, Huanrui Yang, Subrata Mitra, Zhengmian Hu, Nedim Lipka, Dang Nguyen, Yue Zhao, Jiebo Luo, Julian J. McAuley
2024 C conf
Robust Transfer Learning for Active Level Set Estimation with Locally Adaptive Gaussian Process Prior.
ACML
Giang Ngo, Dang Nguyen, Sunil Gupta
2024 J jnl
RuleR: Improving LLM Controllability by Rule-based Data Recycling.
CoRR
Ming Li, Han Chen, Chenguang Wang, Dang Nguyen, Dianqi Li, Tianyi Zhou
2024 J jnl
Telepathology in Hematopathology Diagnostics: A Collaboration Between Ho Chi Minh City Oncology Hospital and University of Texas Health-McGovern Medical School.
CoRR
Uyen Ly, Quang Nguyen, Dang Nguyen, Tu Thai, Binh Le, Duong Gion, Alexander Banerjee, Brenda Mai, Amer Wahed, Andy Nguyen
2024 A* conf
Understanding the Robustness of Multi-modal Contrastive Learning to Distribution Shift.
ICLR
Yihao Xue, Siddharth Joshi, Dang Nguyen, Baharan Mirzasoleiman
2023 J jnl
Real-Time Magnetic Tracking and Diagnosis of COVID-19 via Machine Learning.
CoRR
Dang Nguyen, Phat K. Huynh, Vinh Duc An Bui, Kee Young Hwang, Nityanand Jain, Chau Nguyen, Le Huu Nhat Minh, Le Van Truong, Xuan Thanh Nguyen, Dinh Hoang Nguyen, Le Tien Dung, Trung-Quôc Le, Manh-Huong Phan
2023 A* conf
Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud Reconstruction.
ICML
Khai Nguyen, Dang Nguyen, Nhat Ho
2023 J jnl
Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud Reconstruction.
CoRR
Khai Nguyen, Dang Nguyen, Nhat Ho
2023 J jnl
Understanding the Robustness of Multi-modal Contrastive Learning to Distribution Shift.
CoRR
Yihao Xue, Siddharth Joshi, Dang Nguyen, Baharan Mirzasoleiman
2022 — conf
DANGNT-SGU at SemEval-2022 Task 11: Using Pre-trained Language Model for Complex Named Entity Recognition.
SemEval@NAACL
Dang Nguyen, Huy Khac Nguyen Huynh
2021 — conf
Hub and Spoke Logistics Network Design for Urban Region with Clustering-Based Approach.
IEA/AIE (1)
Quan Duong, Dang Nguyen, Quoc Nguyen
2021 J jnl
Hub and Spoke Logistics Network Design for Urban Region with Clustering-Based Approach.
CoRR
Quan Duong, Dang Nguyen, Quoc Nguyen
2020 — conf
A Study on the Impact of Alcoholism on EEG-based Cryptographic Key Generation Systems.
SSCI
Dang Nguyen, Dat Tran, Dharmendra Sharma
2019 J jnl
A Study on Combining EEG Signals and Crytography for Bitcoin Security.
Aust. J. Intell. Inf. Process. Syst.
Dang Nguyen, Dat Tran, Wanli Ma
2018 B conf
Emotional Influences on Cryptographic Key Generation Systems using EEG signals.
KES
Dang Nguyen, Dat Tran, Dharmendra Sharma, Wanli Ma
2018 B conf
On the Study of Impacts of Brain Conditions on EEG-based Cryptographic Key Generation Systems.
KES
Dang Nguyen, Dat Tran, Dharmendra Sharma, Wanli Ma
2017 B conf
EEG-Based Random Number Generators.
NSS
Dang Nguyen, Dat Tran, Wanli Ma, Khoa Nguyen
2017 B conf
Investigating The Impact Of Epilepsy On EEG-based Cryptographic Key Generation Systems.
KES
Dang Nguyen, Dat Tran, Dharmendra Sharma, Wanli Ma
2017 B conf
Investigating the possibility of applying EEG lossy compression to EEG-based user authentication.
IJCNN
Binh Nguyen, Dang Nguyen, Wanli Ma, Dat Tran
2017 B conf
On The Study of EEG-based Cryptographic Key Generation.
KES
Dang Nguyen, Dat Tran, Dharmendra Sharma, Wanli Ma
2017 J jnl
Random Number Generators Basedon EEG Non-linear and ChaoticCharacteristics.
J. Cyber Secur. Mobil.
Dang Nguyen, Dat Tran, Wanli Ma, Dharmendra Sharma
2017 — conf
UIT-DANGNT-CLNLP at SemEval-2017 Task 9: Building Scientific Concept Fixing Patterns for Improving CAMR.
SemEval@ACL
Khoa Nguyen, Dang Nguyen
2017 B conf
Wavelet transform and adaptive arithmetic coding techniques for EEG lossy compression.
IJCNN
Binh Nguyen, Dang Nguyen, Wanli Ma, Dat Tran
2016 — conf
Behavior of superparamagnetic nanoparticles in regard of brain activity - a proof of concept.
EMBC
Pierre-Olivier Champagne, Dang Nguyen, Lionel Carmant, Alain Bouthillier, Nathalie T. Sanon, Mohamad Sawan