Tuan Do

According to our database, Tuan Do authored at least 19 papers between 2009 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

EA-Swin: An Embedding-Agnostic Swin Transformer for AI-Generated Video Detection.

Hung Mai, Loi Dinh, Duc Hai Nguyen, Dat Do, Luong Doan, Khanh Nguyen Quoc, Huan Vu, Phong Ho, Naeem Ul Islam, Tuan Do

CoRR, February, 2026

Improving Generalization and Uncertainty Quantification of Photometric Redshift Models.

Jonathan Soriano, Tuan Do, Srinath Saikrishnan, Vikram Seenivasan, Bernie Boscoe, Jack Singal, Evan Jones

CoRR, January, 2026

Combining datasets with different ground truths using Low-Rank Adaptation to generalize image-based CNN models for photometric redshift prediction.

Vikram Seenivasan, Srinath Saikrishnan, Andrew Lizarraga, Jonathan Soriano, Bernie Boscoe, Tuan Do

CoRR, January, 2026

Graph Neural ODEs with Stability and Conservation Guarantees for Tumor Microenvironment Dynamics (Student Abstract).

Luong Doan, Tien Nguyen, Nhung Duong, Lap Nguyen, Tuan Do

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Multi-Modal Masked Autoencoders for Learning Image-Spectrum Associations for Galaxy Evolution and Cosmology.

Morgan Himes, Samiksha Krishnamurthy, Andrew Lizarraga, Srinath Saikrishnan, Vikram Seenivasan, Jonathan Soriano, Ying Nian Wu, Tuan Do

CoRR, October, 2025

AquiLLM: a RAG Tool for Capturing Tacit Knowledge in Research Groups.

Chandler Campbell, Bernie Boscoe, Tuan Do

CoRR, August, 2025

2024

Learning the Evolution of Physical Structure of Galaxies via Diffusion Models.

Andrew Lizarraga, Eric Hanchen Jiang, Jacob Nowack, Yun Qi Li, Ying Nian Wu, Bernie Boscoe, Tuan Do

CoRR, 2024

Using different sources of ground truths and transfer learning to improve the generalization of photometric redshift estimation.

Jonathan Soriano, Srinath Saikrishnan, Vikram Seenivasan, Bernie Boscoe, Jack Singal, Tuan Do

CoRR, 2024

GalaxiesML: a dataset of galaxy images, photometry, redshifts, and structural parameters for machine learning.

Tuan Do, Bernie Boscoe, Evan Jones, Yunqi Li, Kevin Alfaro

CoRR, 2024

Using Galaxy Evolution as Source of Physics-Based Ground Truth for Generative Models.

Yunqi Li, Tuan Do, Evan Jones, Bernie Boscoe, Kevin Alfaro, Zooey Nguyen

CoRR, 2024

2022

Elements of effective machine learning datasets in astronomy.

Bernie Boscoe, Tuan Do, Evan Jones, Yunqi Li, Kevin Alfaro, Christy Ma

CoRR, 2022

2018

Multimodal Interactive Learning of Primitive Actions.

Tuan Do, Nikhil Krishnaswamy, Kyeongmin Rim, James Pustejovsky

CoRR, 2018

Teaching Virtual Agents to Perform Complex Spatial-Temporal Activities.

Tuan Do, Nikhil Krishnaswamy, James Pustejovsky

Proceedings of the 2018 AAAI Spring Symposia, 2018

2017

Learning event representation: As sparse as possible, but not sparser.

Tuan Do, James Pustejovsky

CoRR, 2017

Fine-grained event learning of human-object interaction with LSTM-CRF.

Tuan Do, James Pustejovsky

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016

ECAT: Event Capture Annotation Tool.

Tuan Do, Nikhil Krishnaswamy, James Pustejovsky

CoRR, 2016

2010

Exploiting Multichannel Diversity in Cognitive Radio Networks.

Tuan Do, Brian L. Mark

Proceedings of the 19th International Conference on Computer Communications and Networks, 2010

Cooperative communication with regenerative relays for cognitive radio networks.

Tuan Do, Brian L. Mark

Proceedings of the 44th Annual Conference on Information Sciences and Systems, 2010

2009

Joint spatial-temporal spectrum sensing for cognitive radio networks.

Tuan Do, Brian L. Mark

Proceedings of the 43rd Annual Conference on Information Sciences and Systems, 2009