| 2025 | ACL | GUI Agents: A Survey. | 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 | ACL | Beyond Semantic Entropy: Boosting LLM Uncertainty Quantification with Pairwise Semantic Similarity. | Dang Nguyen, Ali Payani, Baharan Mirzasoleiman |
| 2025 | ICLR | Mini-batch Coresets for Memory-efficient Language Model Training on Data Mixtures. | Dang Nguyen, Wenhan Yang, Rathul Anand, Yu Yang, Baharan Mirzasoleiman |
| 2025 | ICML | Synthetic Text Generation for Training Large Language Models via Gradient Matching. | Dang Nguyen, Zeman Li, MohammadHossein Bateni, Vahab Mirrokni, Meisam Razaviyayn, Baharan Mirzasoleiman |
| 2025 | KDD | Bidirectional Diffusion Bridge Models. | Duc Kieu, Kien Do, Toan Nguyen, Dang Nguyen, Thin Nguyen |
| 2025 | NAACL | GPT-4V Cannot Generate Radiology Reports Yet. | Yuyang Jiang, Chacha Chen, Dang Nguyen, Benjamin M. Mervak, Chenhao Tan |
| 2025 | NAACL | RuleR: Improving LLM Controllability by Rule-based Data Recycling. | Ming Li, Han Chen, Chenguang Wang, Dang Nguyen, Dianqi Li, Tianyi Zhou |
| 2024 | AAAI | COMBAT: Alternated Training for Effective Clean-Label Backdoor Attacks. | Tran Huynh, Dang Nguyen, Tung Pham, Anh Tran |
| 2024 | ACL | Multi-Objective Linguistic Control of Large Language Models. | Dang Nguyen, Jiuhai Chen, Tianyi Zhou |
| 2024 | ACML | Robust Transfer Learning for Active Level Set Estimation with Locally Adaptive Gaussian Process Prior. | Giang Ngo, Dang Nguyen, Sunil Gupta |
| 2024 | ECAI | Revisiting the Dataset Bias Problem from a Statistical Perspective. | Kien Do, Dung Nguyen, Hung Le, Thao Le, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh |
| 2024 | ICDM | Generating Realistic Tabular Data with Large Language Models. | Dang Nguyen, Sunil Gupta, Kien Do, Thin Nguyen, Svetha Venkatesh |
| 2024 | ICLR | Understanding the Robustness of Multi-modal Contrastive Learning to Distribution Shift. | Yihao Xue, Siddharth Joshi, Dang Nguyen, Baharan Mirzasoleiman |
| 2023 | ACML | Active Level Set Estimation for Continuous Search Space with Theoretical Guarantee. | Giang Ngo, Dang Nguyen, Dat Phan-Trong, Sunil Gupta |
| 2023 | ICASSP | On Cross-Layer Alignment for Model Fusion of Heterogeneous Neural Networks. | Dang Nguyen, Trang Nguyen, Khai Nguyen, Dinh Q. Phung, Hung Hai Bui, Nhat Ho |
| 2023 | ICML | Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud Reconstruction. | Khai Nguyen, Dang Nguyen, Nhat Ho |
| 2022 | ACIIDS | Efficient Classification with Counterfactual Reasoning and Active Learning. | Azhar Mohammed, Dang Nguyen, Bao Duong, Thin Nguyen |
| 2022 | ADMA | Handling Missing Data with Markov Boundary. | Azhar Mohammed, Dang Nguyen, Bao Duong, Melanie Nichols, Thin Nguyen |
| 2022 | ECCV | Towards Effective and Robust Neural Trojan Defenses via Input Filtering. | Kien Do, Haripriya Harikumar, Hung Le, Dung Nguyen, Truyen Tran, Santu Rana, Dang Nguyen, Willy Susilo, Svetha Venkatesh |
| 2022 | ECCV | Black-Box Few-Shot Knowledge Distillation. | Dang Nguyen, Sunil Gupta, Kien Do, Svetha Venkatesh |
| 2022 | ICML | On Transportation of Mini-batches: A Hierarchical Approach. | Khai Nguyen, Dang Nguyen, Quoc Dinh Nguyen, Tung Pham, Hung Bui, Dinh Phung, Trung Le, Nhat Ho |
| 2022 | ICML | Improving Mini-batch Optimal Transport via Partial Transportation. | Khai Nguyen, Dang Nguyen, The-Anh Vu-Le, Tung Pham, Nhat Ho |
| 2020 | AAAI | Bayesian Optimization for Categorical and Category-Specific Continuous Inputs. | Dang Nguyen, Sunil Gupta, Santu Rana, Alistair Shilton, Svetha Venkatesh |
| 2020 | ICML | DeepCoDA: personalized interpretability for compositional health data. | Thomas P. Quinn, Dang Nguyen, Santu Rana, Sunil Gupta, Svetha Venkatesh |
| 2020 | ICPR | Factor Screening using Bayesian Active Learning and Gaussian Process Meta-Modelling. | Cheng Li, Santu Rana, Andrew Gill, Dang Nguyen, Sunil Gupta, Svetha Venkatesh |
| 2018 | KES | Emotional Influences on Cryptographic Key Generation Systems using EEG signals. | Dang Nguyen, Dat Tran, Dharmendra Sharma, Wanli Ma |
| 2018 | KES | On the Study of Impacts of Brain Conditions on EEG-based Cryptographic Key Generation Systems. | Dang Nguyen, Dat Tran, Dharmendra Sharma, Wanli Ma |
| 2018 | PAKDD | Trans2Vec: Learning Transaction Embedding via Items and Frequent Itemsets. | Dang Nguyen, Tu Dinh Nguyen, Wei Luo, Svetha Venkatesh |
| 2018 | SDM | Learning Graph Representation via Frequent Subgraphs. | Dang Nguyen, Wei Luo, Tu Dinh Nguyen, Svetha Venkatesh, Dinh Q. Phung |
| 2017 | IJCNN | Investigating the possibility of applying EEG lossy compression to EEG-based user authentication. | Binh Nguyen, Dang Nguyen, Wanli Ma, Dat Tran |
| 2017 | IJCNN | Wavelet transform and adaptive arithmetic coding techniques for EEG lossy compression. | Binh Nguyen, Dang Nguyen, Wanli Ma, Dat Tran |
| 2017 | KES | Investigating The Impact Of Epilepsy On EEG-based Cryptographic Key Generation Systems. | Dang Nguyen, Dat Tran, Dharmendra Sharma, Wanli Ma |
| 2017 | KES | On The Study of EEG-based Cryptographic Key Generation. | Dang Nguyen, Dat Tran, Dharmendra Sharma, Wanli Ma |
| 2017 | NSS | EEG-Based Random Number Generators. | Dang Nguyen, Dat Tran, Wanli Ma, Khoa Nguyen |
| 2014 | ICCCI | A Novel Method for Mining Class Association Rules with Itemset Constraints. | Dang Nguyen, Bay Vo, Hoai Bac Le |
| 2014 | NSS | Adopting Provenance-Based Access Control in OpenStack Cloud IaaS. | Dang Nguyen, Jaehong Park, Ravi S. Sandhu |
| 2013 | PST | A provenance-based access control model for dynamic separation of duties. | Dang Nguyen, Jaehong Park, Ravi S. Sandhu |
| 2012 | IRI | Integrated provenance data for access control in group-centric collaboration. | Dang Nguyen, Jaehong Park, Ravi S. Sandhu |
| 2012 | PST | A provenance-based access control model. | Jaehong Park, Dang Nguyen, Ravi S. Sandhu |
| 2011 | WoWMoM | New findings on the complexity of cluster head selection algorithms. | Dang Nguyen, Pascale Minet, Thomas Kunz, Louise Lamont |
| 2007 | AINA | Analysis of MPR Selection in the OLSR Protocol. | Dang Nguyen, Pascale Minet |