Tony Xu

According to our database, Tony Xu authored at least 10 papers between 2019 and 2025.

Collaborative distances:

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

2025

FairEval: Evaluating Fairness in LLM-Based Recommendations with Personality Awareness.

Chandan Kumar Sah, Xiaoli Lian, Tony Xu, Li Zhang

CoRR, April, 2025

ModalTune: Fine-Tuning Slide-Level Foundation Models with Multi-Modal Information for Multi-task Learning in Digital Pathology.

Vishwesh Ramanathan, Tony Xu, Pushpak Pati, Faruk Ahmed, Maged Goubran, Anne L. Martel

CoRR, March, 2025

A generalizable 3D framework and model for self-supervised learning in medical imaging.

Tony Xu, Sepehr Hosseini, Chris Anderson, Anthony Rinaldi, Rahul G. Krishnan, Anne L. Martel, Maged Goubran

CoRR, January, 2025

SELMA3D challenge: Self-supervised learning for 3D light-sheet microscopy image segmentation.

Ying Chen, Rami Al-Maskari, Izabela Horvath, Mayar Ali, Luciano Höher, Kaiyuan Yang, Zengming Lin, Zhiwei Zhai, Mengzhe Shen, Dejin Xun, Yi Wang, Tony Xu, Maged Goubran, Yunheng Wu, Kensaku Mori, Johannes C. Paetzold, Ali Ertürk

CoRR, January, 2025

2024

Detecting Noisy Labels with Repeated Cross-Validations.

Jianan Chen, Vishwesh Ramanathan, Tony Xu, Anne L. Martel

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

Masked Image Modeling for Label-Efficient Segmentation in Two-Photon Excitation Microscopy.

Tony Xu, Matthew Rozak, Emmanuel E. Ntiri, Adrienne Dorr, James R. Mester, Bojana Stefanovic, Anne L. Martel, Maged Goubran

Proceedings of the Medical Image Learning with Limited and Noisy Data, 2023

2020

Overcoming the limitations of patch-based learning to detect cancer in whole slide images.

Ozan Ciga, Tony Xu, Sharon Nofech-Mozes, Shawna Noy, Fang-I Lu, Anne L. Martel

CoRR, 2020

Self supervised contrastive learning for digital histopathology.

Ozan Ciga, Anne L. Martel, Tony Xu

CoRR, 2020

Meta-Learning One-Class Classification with DeepSets: Application in the Milky Way.

Ademola Oladosu, Tony Xu, Philip Ekfeldt, Brian A. Kelly, Miles D. Cranmer, Shirley Ho, Adrian M. Price-Whelan, Gabriella Contardo

CoRR, 2020

2019

Procella: Unifying serving and analytical data at YouTube.

Biswapesh Chattopadhyay, Priyam Dutta, Weiran Liu, Ott Tinn, Andrew McCormick, Aniket Mokashi, Paul Harvey, Hector Gonzalez, David Lomax, Sagar Mittal, Roee Ebenstein, Nikita Mikhaylin, Hung-Ching Lee, Xiaoyan Zhao, Tony Xu, Luis Perez, Farhad Shahmohammadi, Tran Bui, Neil Mckay, Selcuk Aya, Vera Lychagina, Brett Elliott

Proc. VLDB Endow., 2019