Publications

(Full list: Google Scholar)

Selected publications:

• Cuong N Nguyen, Cuong V Nguyen. Data distribution valuation using generalized Bayesian inference. In AISTATS, 2026.
• Vu Dinh, Lam Ho, Cuong Nguyen. Hamiltonian Monte Carlo on ReLU neural networks is inefficient. In NeurIPS, 2024.
• Cuong Nguyen, Siddharth Swaroop, Thang Bui, Yingzhen Li, Richard Turner. Lifelong learning for deep neural networks with Bayesian principles. Book chapter in Towards Human Brain Inspired Lifelong Learning, 2024.
• Behzad Ousat, Esteban Schafir, Duc Hoang, Mohammad Tofighi, Cuong Nguyen, Sajjad Arshad, Selcuk Uluagac, Amin Kharraz. The matter of Captchas: An analysis of a brittle security feature on the modern web. In WWW, 2024.
• Cuong N Nguyen, Phong Tran, Lam Ho, Vu Dinh, Anh Tran, Tal Hassner, Cuong V Nguyen. Simple transferability estimation for regression tasks. In UAI, 2023. (code)
• Cuong Nguyen, Lam Ho, Huan Xu, Vu Dinh, Binh Nguyen. Bayesian active learning with abstention feedbacks. In Neurocomputing, 2022.
• Cuong Nguyen, Tal Hassner, Cedric Archambeau, Matthias Seeger. LEEP: A new measure to evaluate transferability of learned representations. In ICML, 2020.
• Anh Tran, Cuong Nguyen, Tal Hassner. Transferability and hardness of supervised classification tasks. In ICCV, 2019. Oral presentation.
• Le TK Hien, Cuong Nguyen, Huan Xu, Canyi Lu, Jiashi Feng. Accelerated randomized mirror descent algorithms for composite non-strongly convex optimization. In Journal of Optimization Theory and Applications, 2019.
• Lam Ho, Vu Dinh, Cuong Nguyen. Multi-task learning improves ancestral state reconstruction. In Theoretical Population Biology, 2019.
• Cuong Nguyen, Yingzhen Li, Thang Bui, Richard Turner. Variational continual learning. In ICLR, 2018. (code)
• Thang Bui, Cuong Nguyen, Richard Turner. Streaming sparse Gaussian process approximations. In NIPS, 2017. (code)
• Cuong Nguyen, Huan Xu. Adaptive maximization of pointwise submodular functions with budget constraint. In NIPS, 2016.
• Cuong Nguyen, Nan Ye, Wee Sun Lee. Robustness of Bayesian pool-based active learning against prior misspecification. In AAAI, 2016.
• Cuong Nguyen, Muthu Kumar Chandrasekaran, Min-Yen Kan, Wee Sun Lee. Scholarly document information extraction using extensible features for efficient higher order semi-CRFs. In JCDL, 2015.
• Cuong Nguyen, Wee Sun Lee, Nan Ye. Near-optimal adaptive pool-based active learning with general loss. In UAI, 2014. Best student paper award. (supplementary)
• Cuong Nguyen, Nan Ye, Wee Sun Lee, Hai Leong Chieu. Conditional random field with high-order dependencies for sequence labeling and segmentation. In Journal of Machine Learning Research, 2014. (code)
• Cuong Nguyen, Wee Sun Lee, Nan Ye, Kian Ming A Chai, Hai Leong Chieu. Active learning for probabilistic hypotheses using the maximum Gibbs error criterion. In NIPS, 2013.
• Cuong Nguyen, Lam Ho, Vu Dinh. Generalization and robustness of batched weighted average algorithm with V-geometrically ergodic markov data. In ALT, 2013.
• Cuong Nguyen, Vu Dinh, Lam Ho. Mel-frequency cepstral coefficients for eye movement identification. In ICTAI, 2012. (code)

Patents

• Structured document analyzer. US Patent, 2020.