Gaoxiang Luo

According to our database, Gaoxiang Luo authored at least 11 papers between 2021 and 2026.

Collaborative distances:

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

2026

MetaMate: Understanding How Educational Researchers Experience AI-Assisted Data Extraction for Systematic Reviews.

Xue Wang, Gaoxiang Luo

Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025

COM-BOM: Bayesian Exemplar Search for Efficiently Exploring the Accuracy-Calibration Pareto Frontier.

Gaoxiang Luo, Aryan Deshwal

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Empowering Farming Communities Through Information Tracking: A Design Approach to Crop Planning and Management.

Zhanming Chen, Minghe Lu, Minzhu Zhao, Gaoxiang Luo, Benjamin Withey, Seraphina Yong, Ji Youn Shin

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025

2024

An in-depth evaluation of federated learning on biomedical natural language processing for information extraction.

Le Peng, Gaoxiang Luo, Sicheng Zhou, Jiandong Chen, Ziyue Xu, Ju Sun, Rui Zhang

npj Digit. Medicine, 2024

Demo: Enabling Visual Recognition at Radio Frequency.

Haowen Lai, Yifei Liu, Gaoxiang Luo, Mingmin Zhao

Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 2024

Enabling Visual Recognition at Radio Frequency.

Haowen Lai, Gaoxiang Luo, Yifei Liu, Mingmin Zhao

Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 2024

2023

Rethinking Transfer Learning for Medical Image Classification.

Le Peng, Hengyue Liang, Gaoxiang Luo, Taihui Li, Ju Sun

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

Evaluation of federated learning variations for COVID-19 diagnosis using chest radiographs from 42 US and European hospitals.

Le Peng, Gaoxiang Luo, Andrew Walker, Zachary Zaiman, Emma K. Jones, Hemant Gupta, Kristopher Kersten, John L. Burns, Christopher A. Harle, Tanja Magoc, Benjamin Shickel, Scott D. Steenburg, Tyler J. Loftus, Genevieve B. Melton, Judy Wawira Gichoya, Ju Sun, Christopher J. Tignanelli

J. Am. Medical Informatics Assoc., 2022

SAMCNet: Towards a Spatially Explainable AI Approach for Classifying MxIF Oncology Data.

Majid Farhadloo, Carl Molnar, Gaoxiang Luo, Yan Li, Shashi Shekhar, Rachel L. Maus, Svetomir N. Markovic, Alexey A. Leontovich, Raymond Moore

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

MC-DGCNN: A Novel DNN Architecture for Multi-Category Point Set Classification.

Majid Farhadloo, Carl Molnar, Gaoxiang Luo, Yan Li, Shashi Shekhar, Rachel L. Maus, Svetomir N. Markovic, Raymond Moore, Alexey A. Leontovich

CoRR, 2021

Towards Comparative Physical Interpretation of Spatial Variability Aware Neural Networks: A Summary of Results.

Jayant Gupta, Carl Molnar, Gaoxiang Luo, Joe Knight, Shashi Shekhar

CoRR, 2021