| 2025 | ICASSP | Correlated Attention in Transformers for Multivariate Time Series. | Quang Minh Nguyen, Lam M. Nguyen, Subhro Das |
| 2025 | ICASSP | Foundation Model and Temporal Priors-guided Transductive Few-shot Action Recognition. | Bach Vu, Hoang Nguyen, Quang Minh Nguyen, Duong Le, Hieu Pham, Phi Le Nguyen, Lam M. Nguyen |
| 2025 | ICASSP | Dilated Convolution for Time Series Learning. | Wang Zhang, Subhro Das, Lam M. Nguyen, Luca Daniel |
| 2024 | AAAI | On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods. | Anh Duc Nguyen, Tuan Dung Nguyen, Quang Minh Nguyen, Hoang H. Nguyen, Lam M. Nguyen, Kim-Chuan Toh |
| 2024 | AAAI | One Step Closer to Unbiased Aleatoric Uncertainty Estimation. | Wang Zhang, Ziwen Martin Ma, Subhro Das, Tsui-Wei Lily Weng, Alexandre Megretski, Luca Daniel, Lam M. Nguyen |
| 2024 | ICDM | Improving Time Series Encoding with Noise-Aware Self-Supervised Learning and an Efficient Encoder. | Duy A. Nguyen, Trang H. Tran, Huy Hieu Pham, Phi Le Nguyen, Lam M. Nguyen |
| 2024 | ICML | Proactive DP: A Multiple Target Optimization Framework for DP-SGD. | Marten van Dijk, Nhuong V. Nguyen, Toan N. Nguyen, Lam M. Nguyen, Phuong Ha Nguyen |
| 2024 | SDM | Multi-polytope Machine for Classification. | Dzung T. Phan, Lam M. Nguyen, Jayant Kalagnanam, Chandra Reddy |
| 2023 | ICASSP | Scalable and Secure Federated XGBoost. | Quang Minh Nguyen, Nhan Khanh Le, Lam M. Nguyen |
| 2023 | ICDM | Promoting Robustness of Randomized Smoothing: Two Cost-Effective Approaches. | Linbo Liu, Trong Nghia Hoang, Lam M. Nguyen, Tsui-Wei Weng |
| 2023 | ICDM | Attacking c-MARL More Effectively: A Data Driven Approach. | Nhan H. Pham, Lam M. Nguyen, Jie Chen, Hoang Thanh Lam, Subhro Das, Tsui-Wei Weng |
| 2023 | ICLR | Label-free Concept Bottleneck Models. | Tuomas P. Oikarinen, Subhro Das, Lam M. Nguyen, Tsui-Wei Weng |
| 2023 | ICML | ConCerNet: A Contrastive Learning Based Framework for Automated Conservation Law Discovery and Trustworthy Dynamical System Prediction. | Wang Zhang, Tsui-Wei Weng, Subhro Das, Alexandre Megretski, Luca Daniel, Lam M. Nguyen |
| 2022 | AAAI | Interpretable Clustering via Multi-Polytope Machines. | Connor Lawless, Jayant Kalagnanam, Lam M. Nguyen, Dzung T. Phan, Chandra Reddy |
| 2022 | ICML | Nesterov Accelerated Shuffling Gradient Method for Convex Optimization. | Trang H. Tran, Katya Scheinberg, Lam M. Nguyen |
| 2022 | SDM | StepDIRECT - A Derivative-Free Optimization Method for Stepwise Functions. | Dzung T. Phan, Hongsheng Liu, Lam M. Nguyen |
| 2021 | AISTATS | Hogwild! over Distributed Local Data Sets with Linearly Increasing Mini-Batch Sizes. | Nhuong V. Nguyen, Toan N. Nguyen, Phuong Ha Nguyen, Quoc Tran-Dinh, Lam M. Nguyen, Marten van Dijk |
| 2021 | ICML | SMG: A Shuffling Gradient-Based Method with Momentum. | Trang H. Tran, Lam M. Nguyen, Quoc Tran-Dinh |
| 2020 | AISTATS | A Hybrid Stochastic Policy Gradient Algorithm for Reinforcement Learning. | Nhan H. Pham, Lam M. Nguyen, Dzung T. Phan, Phuong Ha Nguyen, Marten van Dijk, Quoc Tran-Dinh |
| 2020 | ICDM | Pruning Deep Neural Networks with $\ell_{0}$-constrained Optimization. | Dzung T. Phan, Lam M. Nguyen, Nam H. Nguyen, Jayant R. Kalagnanam |
| 2020 | ICML | Stochastic Gauss-Newton Algorithms for Nonconvex Compositional Optimization. | Quoc Tran-Dinh, Nhan H. Pham, Lam M. Nguyen |
| 2019 | ICML | Characterization of Convex Objective Functions and Optimal Expected Convergence Rates for SGD. | Marten van Dijk, Lam M. Nguyen, Phuong Ha Nguyen, Dzung T. Phan |
| 2019 | ICML | PROVEN: Verifying Robustness of Neural Networks with a Probabilistic Approach. | Lily Weng, Pin-Yu Chen, Lam M. Nguyen, Mark S. Squillante, Akhilan Boopathy, Ivan V. Oseledets, Luca Daniel |
| 2018 | ICML | SGD and Hogwild! Convergence Without the Bounded Gradients Assumption. | Lam M. Nguyen, Phuong Ha Nguyen, Marten van Dijk, Peter Richtrik, Katya Scheinberg, Martin Takc |
| 2017 | ICML | SARAH: A Novel Method for Machine Learning Problems Using Stochastic Recursive Gradient. | Lam M. Nguyen, Jie Liu, Katya Scheinberg, Martin Takc |
| 2016 | SIGMETRICS | A Service System with Randomly Behaving On-demand Agents. | Lam M. Nguyen, Alexander L. Stolyar |