Owen Queen

According to our database, Owen Queen authored at least 12 papers between 2021 and 2026.

Collaborative distances:

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

2026

DSGym: A Holistic Framework for Evaluating and Training Data Science Agents.

Fan Nie, Junlin Wang, Harper Hua, Federico Bianchi, Yongchan Kwon, Zhenting Qi, Owen Queen, Shang Zhu, James Zou

CoRR, January, 2026

2025

Exploring the use of AI authors and reviewers at Agents4Science.

Federico Bianchi, Owen Queen, Nitya Thakkar, Eric Sun, James Y. Zou

CoRR, November, 2025

CGBench: Benchmarking Language Model Scientific Reasoning for Clinical Genetics Research.

Owen Queen, Harrison G. Zhang, James Zou

CoRR, October, 2025

2024

UniTS: Building a Unified Time Series Model.

Shanghua Gao, Teddy Koker, Owen Queen, Thomas Hartvigsen, Theodoros Tsiligkaridis, Marinka Zitnik

CoRR, 2024

UniTS: A Unified Multi-Task Time Series Model.

Shanghua Gao, Teddy Koker, Owen Queen, Tom Hartvigsen, Theodoros Tsiligkaridis, Marinka Zitnik

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Graph AI in Medicine.

Ruth Johnson, Michelle M. Li, Ayush Noori, Owen Queen, Marinka Zitnik

CoRR, 2023

Deep Learning for Reference-Free Geolocation for Poplar Trees.

Cai W. John, Owen Queen, Wellington Muchero, Scott J. Emrich

CoRR, 2023

Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency.

Owen Queen, Tom Hartvigsen, Teddy Koker, Huan He, Theodoros Tsiligkaridis, Marinka Zitnik

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Domain Adaptation for Time Series Under Feature and Label Shifts.

Huan He, Owen Queen, Teddy Koker, Consuelo Cuevas, Theodoros Tsiligkaridis, Marinka Zitnik

Proceedings of the International Conference on Machine Learning, 2023

Adapting Protein Language Models for Explainable Fine-Grained Evolutionary Pattern Discovery.

Ashley Babjac, Owen Queen, Shawn-Patrick Barhorst, Kambiz Kalhor, Andrew D. Steen, Scott J. Emrich

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Evaluating Explainability for Graph Neural Networks.

Chirag Agarwal, Owen Queen, Himabindu Lakkaraju, Marinka Zitnik

CoRR, 2022

2021

LASSO-based feature selection for improved microbial and microbiome classification.

Owen Queen, Scott J. Emrich

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021