Search Results - "Lu, Yuzhe"

Teaching Networks to Solve Optimization Problems by Liu, Xinran, Lu, Yuzhe, Abbasi, Ali, Li, Meiyi, Mohammadi, Javad, Kolouri, Soheil

“…Leveraging machine learning to facilitate the optimization process is an emerging field that holds the promise to bypass the fundamental computational…”
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Adaptive Medical Image Deep Color Perception Algorithm by Zeng, Xianhua, Tong, Shiyue, Lu, Yuzhe, Xu, Liming, Huang, Zhiwei

“…The existing medical imaging technologies have little consideration on color information, thus most of medical images are gray. Classical hand-craft…”
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Wasserstein task embedding for measuring task similarities by Liu, Xinran, Bai, Yikun, Lu, Yuzhe, Soltoggio, Andrea, Kolouri, Soheil

“…Measuring similarities between different tasks is critical in a broad spectrum of machine learning problems, including transfer, multi-task, continual, and…”
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Map3D: Registration-Based Multi-Object Tracking on 3D Serial Whole Slide Images by Deng, Ruining, Yang, Haichun, Jha, Aadarsh, Lu, Yuzhe, Chu, Peng, Fogo, Agnes B., Huo, Yuankai

“…There has been a long pursuit for precise and reproducible glomerular quantification on renal pathology to leverage both research and practice. When digitizing…”
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Circle Representation for Medical Object Detection by Nguyen, Ethan H., Yang, Haichun, Deng, Ruining, Lu, Yuzhe, Zhu, Zheyu, Roland, Joseph T., Lu, Le, Landman, Bennett A., Fogo, Agnes B., Huo, Yuankai

“…Box representation has been extensively used for object detection in computer vision. Such representation is efficacious but not necessarily optimized for…”
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SLoSH: Set Locality Sensitive Hashing via Sliced-Wasserstein Embeddings by Lu, Yuzhe, Liu, Xinran, Soltoggio, Andrea, Kolouri, Soheil

“…Learning from set-structured data is an essential problem with many applications in machine learning and computer vision. This paper focuses on a…”
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Glo-In-One: holistic glomerular detection, segmentation, and lesion characterization with large-scale web image mining by Yao, Tianyuan, Lu, Yuzhe, Long, Jun, Jha, Aadarsh, Zhu, Zheyu, Asad, Zuhayr, Yang, Haichun, Fogo, Agnes B., Huo, Yuankai

“…Purpose: The quantitative detection, segmentation, and characterization of glomeruli from high-resolution whole slide imaging (WSI) play essential roles in the…”
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Holistic fine-grained global glomerulosclerosis characterization: from detection to unbalanced classification by Lu, Yuzhe, Yang, Haichun, Asad, Zuhayr, Zhu, Zheyu, Yao, Tianyuan, Xu, Jiachen, Fogo, Agnes B, Huo, Yuankai

“…Purpose: Recent studies have demonstrated the diagnostic and prognostic values of global glomerulosclerosis (GGS) in IgA nephropathy, aging, and end-stage…”
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An Interactive Interpretability System for Breast Cancer Screening with Deep Learning by Lu, Yuzhe, Perer, Adam

“…Deep learning methods, in particular convolutional neural networks, have emerged as a powerful tool in medical image computing tasks. While these complex…”
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VL-Cache: Sparsity and Modality-Aware KV Cache Compression for Vision-Language Model Inference Acceleration by Tu, Dezhan, Vashchilenko, Danylo, Lu, Yuzhe, Xu, Panpan

“…Vision-Language Models (VLMs) have demonstrated impressive performance across a versatile set of tasks. A key challenge in accelerating VLMs is storing and…”
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Effectively Fine-tune to Improve Large Multimodal Models for Radiology Report Generation by Lu, Yuzhe, Hong, Sungmin, Shah, Yash, Xu, Panpan

“…Writing radiology reports from medical images requires a high level of domain expertise. It is time-consuming even for trained radiologists and can be…”
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Contrastive Learning Meets Transfer Learning: A Case Study In Medical Image Analysis by Lu, Yuzhe, Jha, Aadarsh, Huo, Yuankai

“…Annotated medical images are typically rarer than labeled natural images since they are limited by domain knowledge and privacy constraints. Recent advances in…”
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Wasserstein Task Embedding for Measuring Task Similarities by Liu, Xinran, Bai, Yikun, Lu, Yuzhe, Soltoggio, Andrea, Kolouri, Soheil

“…Measuring similarities between different tasks is critical in a broad spectrum of machine learning problems, including transfer, multi-task, continual, and…”
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SLOSH: Set LOcality Sensitive Hashing via Sliced-Wasserstein Embeddings by Lu, Yuzhe, Liu, Xinran, Soltoggio, Andrea, Kolouri, Soheil

“…Learning from set-structured data is an essential problem with many applications in machine learning and computer vision. This paper focuses on non-parametric…”
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Predicting Out-of-Distribution Error with Confidence Optimal Transport by Lu, Yuzhe, Wang, Zhenlin, Zhai, Runtian, Kolouri, Soheil, Campbell, Joseph, Sycara, Katia

“…Out-of-distribution (OOD) data poses serious challenges in deployed machine learning models as even subtle changes could incur significant performance drops…”
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Compressive Neural Representations of Volumetric Scalar Fields by Lu, Yuzhe, Jiang, Kairong, Levine, Joshua A, Berger, Matthew

“…We present an approach for compressing volumetric scalar fields using implicit neural representations. Our approach represents a scalar field as a learned…”
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On-the-fly Object Detection using StyleGAN with CLIP Guidance by Lu, Yuzhe, Liu, Shusen, Thiagarajan, Jayaraman J, Sakla, Wesam, Anirudh, Rushil

“…We present a fully automated framework for building object detectors on satellite imagery without requiring any human annotation or intervention. We achieve…”
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Characterizing Out-of-Distribution Error via Optimal Transport by Lu, Yuzhe, Qin, Yilong, Zhai, Runtian, Shen, Andrew, Chen, Ketong, Wang, Zhenlin, Kolouri, Soheil, Stepputtis, Simon, Campbell, Joseph, Sycara, Katia

“…Out-of-distribution (OOD) data poses serious challenges in deployed machine learning models, so methods of predicting a model's performance on OOD data without…”
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Teaching Networks to Solve Optimization Problems by Liu, Xinran, Lu, Yuzhe, Abbasi, Ali, Li, Meiyi, Mohammadi, Javad, Kolouri, Soheil

“…Leveraging machine learning to facilitate the optimization process is an emerging field that holds the promise to bypass the fundamental computational…”
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Glo-In-One: Holistic Glomerular Detection, Segmentation, and Lesion Characterization with Large-scale Web Image Mining by Yao, Tianyuan, Lu, Yuzhe, Long, Jun, Jha, Aadarsh, Zhu, Zheyu, Asad, Zuhayr, Yang, Haichun, Fogo, Agnes B, Huo, Yuankai

“…The quantitative detection, segmentation, and characterization of glomeruli from high-resolution whole slide imaging (WSI) play essential roles in the…”
Get full text