Dang Nguyen

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 38

Top Topics

Random Number Generators

Reconstructed Surface

Top Venues

Publications

Yuyang Jiang, Chacha Chen, Dang Nguyen, Benjamin M. Mervak, Chenhao Tan
GPT-4V Cannot Generate Radiology Reports Yet. CoRR (2024)
Dang Nguyen, Jiuhai Chen, Tianyi Zhou
Multi-Objective Linguistic Control of Large Language Models. CoRR (2024)
Dang Nguyen, Paymon Haddad, Eric Gan, Baharan Mirzasoleiman
Make the Most of Your Data: Changing the Training Data Distribution to Improve In-distribution Generalization Performance. CoRR (2024)
Tran Huynh, Dang Nguyen, Tung Pham, Anh Tran
COMBAT: Alternated Training for Effective Clean-Label Backdoor Attacks. AAAI (2024)
Duy Nguyen, Ca Hoang, Phat K. Huynh, Tien Truong, Dang Nguyen, Abhay Sharma, Trung Q. Le
Multi-level Phenotypic Models of Cardiovascular Disease and Obstructive Sleep Apnea Comorbidities: A Longitudinal Wisconsin Sleep Cohort Study. CoRR (2024)
Ming Li, Han Chen, Chenguang Wang, Dang Nguyen, Dianqi Li, Tianyi Zhou
RuleR: Improving LLM Controllability by Rule-based Data Recycling. CoRR (2024)
Kien Do, Duc Kieu, Toan Nguyen, Dang Nguyen, Hung Le, Dung Nguyen, Thin Nguyen
Variational Flow Models: Flowing in Your Style. CoRR (2024)
Yihao Xue, Siddharth Joshi, Dang Nguyen, Baharan Mirzasoleiman
Understanding the Robustness of Multi-modal Contrastive Learning to Distribution Shift. ICLR (2024)
Dang Nguyen, Jiuhai Chen, Tianyi Zhou
Multi-Objective Linguistic Control of Large Language Models. ACL (Findings) (2024)
Dang Nguyen, Wenhan Yang, Rathul Anand, Yu Yang, Baharan Mirzasoleiman
Memory-efficient Training of LLMs with Larger Mini-batches. CoRR (2024)
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
Real-Time Magnetic Tracking and Diagnosis of COVID-19 via Machine Learning. CoRR (2023)
Khai Nguyen, Dang Nguyen, Nhat Ho
Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud Reconstruction. CoRR (2023)
Dang Nguyen, Chacha Chen, He He, Chenhao Tan
Pragmatic Radiology Report Generation. CoRR (2023)
Khai Nguyen, Dang Nguyen, Nhat Ho
Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud Reconstruction. ICML (2023)
Yihao Xue, Siddharth Joshi, Dang Nguyen, Baharan Mirzasoleiman
Understanding the Robustness of Multi-modal Contrastive Learning to Distribution Shift. CoRR (2023)
Dang Nguyen, Chacha Chen, He He, Chenhao Tan
Pragmatic Radiology Report Generation. ML4H@NeurIPS (2023)
Khai Nguyen, Dang Nguyen, Quoc Dinh Nguyen, Tung Pham, Hung Bui, Dinh Phung, Trung Le, Nhat Ho
On Transportation of Mini-batches: A Hierarchical Approach. ICML (2022)
Azhar Mohammed, Dang Nguyen, Bao Duong, Melanie Nichols, Thin Nguyen
Handling Missing Data with Markov Boundary. ADMA (1) (2022)
Azhar Mohammed, Dang Nguyen, Bao Duong, Thin Nguyen
Efficient Classification with Counterfactual Reasoning and Active Learning. CoRR (2022)
Azhar Mohammed, Dang Nguyen, Bao Duong, Thin Nguyen
Efficient Classification with Counterfactual Reasoning and Active Learning. ACIIDS (1) (2022)
Dang Nguyen, Huy Khac Nguyen Huynh
DANGNT-SGU at SemEval-2022 Task 11: Using Pre-trained Language Model for Complex Named Entity Recognition. SemEval@NAACL (2022)
Khai Nguyen, Dang Nguyen, The-Anh Vu-Le, Tung Pham, Nhat Ho
Improving Mini-batch Optimal Transport via Partial Transportation. ICML (2022)
Dang Nguyen, Khai Nguyen, Dinh Phung, Hung Bui, Nhat Ho
Model Fusion of Heterogeneous Neural Networks via Cross-Layer Alignment. CoRR (2021)
Quan Duong, Dang Nguyen, Quoc Nguyen
Hub and Spoke Logistics Network Design for Urban Region with Clustering-Based Approach. IEA/AIE (1) (2021)
Khai Nguyen, Dang Nguyen, Tung Pham, Nhat Ho
An Efficient Mini-batch Method via Partial Transportation. CoRR (2021)
Quan Duong, Dang Nguyen, Quoc Nguyen
Hub and Spoke Logistics Network Design for Urban Region with Clustering-Based Approach. CoRR (2021)
Dang Nguyen, Dat Tran, Dharmendra Sharma
A Study on the Impact of Alcoholism on EEG-based Cryptographic Key Generation Systems. SSCI (2020)
Dang Nguyen, Dat Tran, Wanli Ma
A Study on Combining EEG Signals and Crytography for Bitcoin Security. Aust. J. Intell. Inf. Process. Syst. 15 (3) (2019)
Dang Nguyen, Dat Tran, Dharmendra Sharma, Wanli Ma
On the Study of Impacts of Brain Conditions on EEG-based Cryptographic Key Generation Systems. KES (2018)
Dang Nguyen, Dat Tran, Dharmendra Sharma, Wanli Ma
Emotional Influences on Cryptographic Key Generation Systems using EEG signals. KES (2018)
Dang Nguyen, Dat Tran, Wanli Ma, Dharmendra Sharma
Random Number Generators Basedon EEG Non-linear and ChaoticCharacteristics. J. Cyber Secur. Mobil. 6 (3) (2017)
Binh Nguyen, Dang Nguyen, Wanli Ma, Dat Tran
Wavelet transform and adaptive arithmetic coding techniques for EEG lossy compression. IJCNN (2017)
Khoa Nguyen, Dang Nguyen
UIT-DANGNT-CLNLP at SemEval-2017 Task 9: Building Scientific Concept Fixing Patterns for Improving CAMR. SemEval@ACL (2017)
Dang Nguyen, Dat Tran, Dharmendra Sharma, Wanli Ma
Investigating The Impact Of Epilepsy On EEG-based Cryptographic Key Generation Systems. KES (2017)
Binh Nguyen, Dang Nguyen, Wanli Ma, Dat Tran
Investigating the possibility of applying EEG lossy compression to EEG-based user authentication. IJCNN (2017)
Dang Nguyen, Dat Tran, Wanli Ma, Khoa Nguyen
EEG-Based Random Number Generators. NSS (2017)
Dang Nguyen, Dat Tran, Dharmendra Sharma, Wanli Ma
On The Study of EEG-based Cryptographic Key Generation. KES (2017)
Pierre-Olivier Champagne, Dang Nguyen, Lionel Carmant, Alain Bouthillier, Nathalie T. Sanon, Mohamad Sawan
Behavior of superparamagnetic nanoparticles in regard of brain activity - a proof of concept. EMBC (2016)