Xingyu Li
6 papers in the PaperMetrix corpus
Papers by this author
-
Discriminative Pattern Mining for Breast Cancer Histopathology Image Classification via Fully Convolutional Autoencoder
2019 · IEEE Access
Accurate diagnosis of breast cancer in histopathology images is challenging due to the heterogeneity of cancer cell growth as well as a variety of benign breast tissue proliferative lesions. In this paper, we propose a …
-
Stain Style Transfer of Histopathology Images Via Structure-Preserved Generative Learning
2020 · arXiv (Cornell University)
Computational histopathology image diagnosis becomes increasingly popular and important, where images are segmented or classified for disease diagnosis by computers. While pathologists do not struggle with color variations in slides, computational solutions usually suffer from …
-
Generalized Federated Learning via Sharpness Aware Minimization
2022 · arXiv (Cornell University)
Federated Learning (FL) is a promising framework for performing privacy-preserving, distributed learning with a set of clients. However, the data distribution among clients often exhibits non-IID, i.e., distribution shift, which makes efficient optimization difficult. To …
-
MyriadAL: Active Few Shot Learning for Histopathology
2023 · arXiv (Cornell University)
Active Learning (AL) and Few Shot Learning (FSL) are two label-efficient methods which have achieved excellent results recently. However, most prior arts in both learning paradigms fail to explore the wealth of the vast unlabelled …
-
BMAD: Benchmarks for Medical Anomaly Detection
2024
Anomaly detection (AD) is a fundamental research problem in machine learning and computer vision, with practical applications in industrial inspection, video surveillance, and medical diagnosis. In the field of medical imaging, AD plays a crucial …
-
End-to-End Open-Domain Question Answering with
2019
Wei Yang, Yuqing Xie, Aileen Lin, Xingyu Li, Luchen Tan, Kun Xiong, Ming Li, Jimmy Lin. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations). 2019.