Tuan Do - RankMe

21 papers A* 1B 2Misc 2Journal 15Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Combining datasets with different ground truths using Low-Rank Adaptation to generalize image-based CNN models for photometric redshift prediction. CoRR Vikram Seenivasan, Srinath Saikrishnan, Andrew Lizarraga, Jonathan Soriano, Bernie Boscoe, Tuan Do
2026	J	`jnl`	EA-Swin: An Embedding-Agnostic Swin Transformer for AI-Generated Video Detection. CoRR Hung Mai, Loi Dinh, Duc Hai Nguyen, Dat Do, Luong Doan, Khanh Nguyen Quoc, Huan Vu, Phong Ho, Naeem Ul Islam, Tuan Do
2026	A*	`conf`	Graph Neural ODEs with Stability and Conservation Guarantees for Tumor Microenvironment Dynamics (Student Abstract). AAAI Luong Doan, Tien Nguyen, Nhung Duong, Lap Nguyen, Tuan Do
2026	J	`jnl`	Improving Generalization and Uncertainty Quantification of Photometric Redshift Models. CoRR Jonathan Soriano, Tuan Do, Srinath Saikrishnan, Vikram Seenivasan, Bernie Boscoe, Jack Singal, Evan Jones
2025	J	`jnl`	AquiLLM: a RAG Tool for Capturing Tacit Knowledge in Research Groups. CoRR Chandler Campbell, Bernie Boscoe, Tuan Do
2025	J	`jnl`	Multi-Modal Masked Autoencoders for Learning Image-Spectrum Associations for Galaxy Evolution and Cosmology. CoRR Morgan Himes, Samiksha Krishnamurthy, Andrew Lizarraga, Srinath Saikrishnan, Vikram Seenivasan, Jonathan Soriano, Ying Nian Wu, Tuan Do
2024	J	`jnl`	GalaxiesML: a dataset of galaxy images, photometry, redshifts, and structural parameters for machine learning. CoRR Tuan Do, Bernie Boscoe, Evan Jones, Yunqi Li, Kevin Alfaro
2024	J	`jnl`	Learning the Evolution of Physical Structure of Galaxies via Diffusion Models. CoRR Andrew Lizarraga, Eric Hanchen Jiang, Jacob Nowack, Yun Qi Li, Ying Nian Wu, Bernie Boscoe, Tuan Do
2024	J	`jnl`	Using Galaxy Evolution as Source of Physics-Based Ground Truth for Generative Models. CoRR Yunqi Li, Tuan Do, Evan Jones, Bernie Boscoe, Kevin Alfaro, Zooey Nguyen
2024	J	`jnl`	Using different sources of ground truths and transfer learning to improve the generalization of photometric redshift estimation. CoRR Jonathan Soriano, Srinath Saikrishnan, Vikram Seenivasan, Bernie Boscoe, Jack Singal, Tuan Do
2022	J	`jnl`	Elements of effective machine learning datasets in astronomy. CoRR Bernie Boscoe, Tuan Do, Evan Jones, Yunqi Li, Kevin Alfaro, Christy Ma
2018	J	`jnl`	Multimodal Interactive Learning of Primitive Actions. CoRR Tuan Do, Nikhil Krishnaswamy, Kyeongmin Rim, James Pustejovsky
2018	—	`conf`	Teaching Virtual Agents to Perform Complex Spatial-Temporal Activities. AAAI Spring Symposia Tuan Do, Nikhil Krishnaswamy, James Pustejovsky
2017	J	`jnl`	Fine-grained Event Learning of Human-Object Interaction with LSTM-CRF. CoRR Tuan Do, James Pustejovsky
2017	B	`conf`	Fine-grained event learning of human-object interaction with LSTM-CRF. ESANN Tuan Do, James Pustejovsky
2017	J	`jnl`	Learning event representation: As sparse as possible, but not sparser. CoRR Tuan Do, James Pustejovsky
2016	J	`jnl`	ECAT: Event Capture Annotation Tool. CoRR Tuan Do, Nikhil Krishnaswamy, James Pustejovsky
2010	Misc	`conf`	Cooperative communication with regenerative relays for cognitive radio networks. CISS Tuan Do, Brian L. Mark
2010	B	`conf`	Exploiting Multichannel Diversity in Cognitive Radio Networks. ICCCN Tuan Do, Brian L. Mark
2010	J	`jnl`	Joint Spatial-Temporal Spectrum Sensing for Cognitive Radio Networks. IEEE Trans. Veh. Technol. Tuan Do, Brian L. Mark
2009	Misc	`conf`	Joint spatial-temporal spectrum sensing for cognitive radio networks. CISS Tuan Do, Brian L. Mark