Meta-Learning Initializations for Low-Resource Drug Discovery. - Cuong Q. Nguyen; Constantine Kreatsoulas; Kim M. Branson (CoRR, 2020)

Epigenomic language models powered by Cerebras. - Meredith V. Trotter; Cuong Q. Nguyen; Stephen Young; Rob T. Woodruff; Kim M. Branson (CoRR, 2021)

Enhancing Few-shot Image Classification with Cosine Transformer. - Quang-Huy Nguyen; Cuong Q. Nguyen; Dung D. Le; Hieu H. Pham 001; Minh N. Do (CoRR, 2022)

Enhancing Few-Shot Image Classification With Cosine Transformer. - Quang-Huy Nguyen; Cuong Q. Nguyen; Dung D. Le; Hieu H. Pham 001 (IEEE Access, 2023)

Molecule-Morphology Contrastive Pretraining for Transferable Molecular Representation. - Cuong Q. Nguyen; Dante Pertusi; Kim M. Branson (CoRR, 2023)

Phenonaut: multiomics data integration for phenotypic space exploration. - Steven R. Shave; John C. Dawson; Abdullah M. Athar; Cuong Q. Nguyen; Richard Kasprowicz; Neil O. Carragher (Bioinform., 2023)

Can Virtual Staining for High-Throughput Screening Generalize? - Samuel Tonks; Cuong Q. Nguyen; Steve Hood; Ryan Musso; Ceridwen Hopely; Steve Titus; Minh Doan; Iain B. Styles; Alexander Krull (ECCV Workshops (16), 2024)

Leak Proof CMap; a framework for training and evaluation of cell line agnostic L1000 similarity methods. - Steven R. Shave; Richard Kasprowicz; Abdullah M. Athar; Denise Vlachou; Neil O. Carragher; Cuong Q. Nguyen (CoRR, 2024)

Out-of-distribution evaluations of channel agnostic masked autoencoders in fluorescence microscopy. - Christian John Hurry; Jinjie Zhang; Olubukola Ishola; Emma Slade; Cuong Q. Nguyen (CoRR, 2025)