| 2026 | MDM | TrajGenAgent: A Hierarchical LLM Agent for Human Mobility Trajectory Generation. | Siyu Li, Toan Tran, Lingyi Zhao, Khurram Shafique, Li Xiong |
| 2026 | NDSS | ExpShield: Safeguarding Web Text from Unauthorized Crawling and LLM Exploitation. | Ruixuan Liu, Toan Tran, Tianhao Wang, Hongsheng Hu, Shuo Wang, Li Xiong |
| 2025 | AAAI | CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift. | Anh T. Nguyen, Lam Tran, Anh Tong, Tuan-Duy H. Nguyen, Toan Tran |
| 2025 | ACL | Tokens for Learning, Tokens for Unlearning: Mitigating Membership Inference Attacks in Large Language Models via Dual-Purpose Training. | Toan Tran, Ruixuan Liu, Li Xiong |
| 2025 | CVPR | Low-Rank Adaptation in Multilinear Operator Networks for Security-Preserving Incremental Learning. | Huu Binh Ta, Duc Nguyen, Quyen Tran, Toan Tran, Tung Pham |
| 2025 | ICCV | Supercharged One-Step Text-to-Image Diffusion Models with Negative Prompts. | Viet Nguyen, Anh Nguyen, Trung Dao, Khoi Nguyen, Cuong Pham, Toan Tran, Anh Tran |
| 2025 | ICLR | Boosting Multiple Views for pretrained-based Continual Learning. | Quyen Tran, Tung Lam Tran, Khanh Doan, Toan Tran, Dinh Q. Phung, Khoat Than, Trung Le |
| 2025 | MDM | Geo-Llama: Leveraging LLMs for Human Mobility Trajectory Generation with Constraints. | Siyu Li, Toan Tran, Haowen Lin, John Krumm, Cyrus Shahabi, Lingyi Zhao, Khurram Shafique, Li Xiong |
| 2024 | AAAI | On Inference Stability for Diffusion Models. | Viet Nguyen, Giang Vu, Tung Nguyen Thanh, Khoat Than, Toan Tran |
| 2023 | ICCV | Reducing Training Time in Cross-Silo Federated Learning using Multigraph Topology. | Tuong Do, Binh X. Nguyen, Vuong Pham, Toan Tran, Erman Tjiputra, Quang D. Tran, Anh Nguyen |
| 2023 | SmartComp | Calibrating Real-World City Traffic Simulation Model Using Vehicle Speed Data. | Seyedmehdi Khaleghian, Himanshu Neema, Mina Sartipi, Toan Tran, Rishav Sen, Abhishek Dubey |
| 2022 | ICLR | KL Guided Domain Adaptation. | A. Tuan Nguyen, Toan Tran, Yarin Gal, Philip H. S. Torr, Atilim Gunes Baydin |
| 2022 | ICLR | Distributionally Robust Fair Principal Components via Geodesic Descents. | Hieu Vu, Toan Tran, Man-Chung Yue, Viet Anh Nguyen |
| 2019 | CVPR | A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning. | Thanh-Toan Do, Toan Tran, Ian D. Reid, B. G. Vijay Kumar, Tuan Hoang, Gustavo Carneiro |
| 2019 | ICML | Bayesian Generative Active Deep Learning. | Toan Tran, Thanh-Toan Do, Ian D. Reid, Gustavo Carneiro |