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Yuzhe Lu
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2020 – today
- 2024
- [j5]Xinran Liu
, Yuzhe Lu, Ali Abbasi
, Meiyi Li
, Javad Mohammadi
, Soheil Kolouri
:
Teaching Networks to Solve Optimization Problems. IEEE Access 12: 17102-17113 (2024) - [c7]Yuzhe Lu, Xinran Liu, Andrea Soltoggio, Soheil Kolouri:
SLoSH: Set Locality Sensitive Hashing via Sliced-Wasserstein Embeddings. WACV 2024: 2554-2564 - 2023
- [c6]Yuzhe Lu, Yilong Qin, Runtian Zhai, Andrew Shen, Ketong Chen, Zhenlin Wang, Soheil Kolouri, Simon Stepputtis, Joseph Campbell, Katia P. Sycara:
Characterizing Out-of-Distribution Error via Optimal Transport. NeurIPS 2023 - [i18]Yuzhe Lu, Zhenlin Wang, Runtian Zhai, Soheil Kolouri, Joseph Campbell, Katia P. Sycara:
Predicting Out-of-Distribution Error with Confidence Optimal Transport. CoRR abs/2302.05018 (2023) - [i17]Yuzhe Lu, Yilong Qin, Runtian Zhai, Andrew Shen, Ketong Chen, Zhenlin Wang, Soheil Kolouri, Simon Stepputtis, Joseph Campbell, Katia P. Sycara:
Characterizing Out-of-Distribution Error via Optimal Transport. CoRR abs/2305.15640 (2023) - [i16]Yuzhe Lu, Sungmin Hong, Yash Shah, Panpan Xu:
Effectively Fine-tune to Improve Large Multimodal Models for Radiology Report Generation. CoRR abs/2312.01504 (2023) - 2022
- [j4]Ethan H. Nguyen
, Haichun Yang, Ruining Deng
, Yuzhe Lu, Zheyu Zhu, Joseph T. Roland, Le Lu, Bennett A. Landman
, Agnes B. Fogo, Yuankai Huo
:
Circle Representation for Medical Object Detection. IEEE Trans. Medical Imaging 41(3): 746-754 (2022) - [c5]Yuzhe Lu, Aadarsh Jha, Ruining Deng
, Yuankai Huo:
Contrastive learning meets transfer learning: a case study in medical image analysis. Medical Imaging: Computer-Aided Diagnosis 2022 - [i15]Yuzhe Lu, Haichun Yang, Zuhayr Asad, Zheyu Zhu, Tianyuan Yao, Jiachen Xu, Agnes B. Fogo, Yuankai Huo:
Holistic Fine-grained GGS Characterization: From Detection to Unbalanced Classification. CoRR abs/2202.00087 (2022) - [i14]Xinran Liu, Yuzhe Lu, Ali Abbasi, Meiyi Li, Javad Mohammadi, Soheil Kolouri:
Teaching Networks to Solve Optimization Problems. CoRR abs/2202.04104 (2022) - [i13]Tianyuan Yao, Yuzhe Lu, Jun Long, Aadarsh Jha, Zheyu Zhu, Zuhayr Asad, Haichun Yang, Agnes B. Fogo, Yuankai Huo:
Glo-In-One: Holistic Glomerular Detection, Segmentation, and Lesion Characterization with Large-scale Web Image Mining. CoRR abs/2206.00123 (2022) - [i12]Xinran Liu, Yikun Bai, Yuzhe Lu, Andrea Soltoggio
, Soheil Kolouri:
Wasserstein Task Embedding for Measuring Task Similarities. CoRR abs/2208.11726 (2022) - [i11]Yuzhe Lu, Adam Perer:
An Interactive Interpretability System for Breast Cancer Screening with Deep Learning. CoRR abs/2210.08979 (2022) - [i10]Yuzhe Lu, Shusen Liu, Jayaraman J. Thiagarajan, Wesam Sakla, Rushil Anirudh:
On-the-fly Object Detection using StyleGAN with CLIP Guidance. CoRR abs/2210.16742 (2022) - 2021
- [j3]Yuzhe Lu, Kairong Jiang, Joshua A. Levine
, Matthew Berger:
Compressive Neural Representations of Volumetric Scalar Fields. Comput. Graph. Forum 40(3): 135-146 (2021) - [j2]Ruining Deng
, Haichun Yang
, Aadarsh Jha, Yuzhe Lu, Peng Chu, Agnes B. Fogo, Yuankai Huo
:
Map3D: Registration-Based Multi-Object Tracking on 3D Serial Whole Slide Images. IEEE Trans. Medical Imaging 40(7): 1924-1933 (2021) - [c4]Quan Liu, Peter C. Louis, Yuzhe Lu, Aadarsh Jha, Mengyang Zhao, Ruining Deng
, Tianyuan Yao, Joseph T. Roland, Haichun Yang, Shilin Zhao, Lee E. Wheless, Yuankai Huo:
SimTriplet: Simple Triplet Representation Learning with a Single GPU. MICCAI (2) 2021: 102-112 - [c3]Yuzhe Lu, Haichun Yang, Zheyu Zhu, Ruining Deng
, Agnes B. Fogo, Yuankai Huo:
Improve global glomerulosclerosis classification with imbalanced data using CircleMix augmentation. Medical Imaging: Image Processing 2021 - [i9]Yuzhe Lu, Haichun Yang, Zheyu Zhu, Ruining Deng, Agnes B. Fogo, Yuankai Huo:
Improve Global Glomerulosclerosis Classification with Imbalanced Data using CircleMix Augmentation. CoRR abs/2101.07654 (2021) - [i8]Yuzhe Lu, Aadarsh Jha, Yuankai Huo:
Contrastive Learning Meets Transfer Learning: A Case Study In Medical Image Analysis. CoRR abs/2103.03166 (2021) - [i7]Quan Liu, Peter C. Louis, Yuzhe Lu, Aadarsh Jha, Mengyang Zhao, Ruining Deng, Tianyuan Yao, Joseph T. Roland, Haichun Yang, Shilin Zhao, Lee E. Wheless, Yuankai Huo:
SimTriplet: Simple Triplet Representation Learning with a Single GPU. CoRR abs/2103.05585 (2021) - [i6]Yuzhe Lu, Kairong Jiang, Joshua A. Levine, Matthew Berger:
Compressive Neural Representations of Volumetric Scalar Fields. CoRR abs/2104.04523 (2021) - [i5]Ethan H. Nguyen, Haichun Yang, Ruining Deng, Yuzhe Lu, Zheyu Zhu, Joseph T. Roland, Le Lu, Bennett A. Landman, Agnes B. Fogo, Yuankai Huo:
Circle Representation for Medical Object Detection. CoRR abs/2110.12093 (2021) - [i4]Yuzhe Lu, Xinran Liu, Andrea Soltoggio, Soheil Kolouri:
SLOSH: Set LOcality Sensitive Hashing via Sliced-Wasserstein Embeddings. CoRR abs/2112.05872 (2021) - 2020
- [j1]Xianhua Zeng
, Shiyue Tong, Yuzhe Lu, Liming Xu, Zhiwei Huang
:
Adaptive Medical Image Deep Color Perception Algorithm. IEEE Access 8: 56559-56571 (2020) - [c2]Haichun Yang, Ruining Deng
, Yuzhe Lu, Zheyu Zhu, Ye Chen, Joseph T. Roland, Le Lu, Bennett A. Landman, Agnes B. Fogo, Yuankai Huo:
CircleNet: Anchor-Free Glomerulus Detection with Circle Representation. MICCAI (4) 2020: 35-44 - [c1]Zheyu Zhu, Yuzhe Lu, Ruining Deng
, Haichun Yang, Agnes B. Fogo, Yuankai Huo:
EasierPath: An Open-Source Tool for Human-in-the-Loop Deep Learning of Renal Pathology. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 214-222 - [i3]Haichun Yang, Ruining Deng, Yuzhe Lu, Zheyu Zhu, Ye Chen, Joseph T. Roland, Le Lu, Bennett A. Landman, Agnes B. Fogo, Yuankai Huo:
CircleNet: Anchor-free Detection with Circle Representation. CoRR abs/2006.02474 (2020) - [i2]Ruining Deng, Haichun Yang, Aadarsh Jha, Yuzhe Lu, Peng Chu, Agnes B. Fogo, Yuankai Huo:
Map3D: Registration Based Multi-Object Tracking on 3D Serial Whole Slide Images. CoRR abs/2006.06038 (2020) - [i1]Zheyu Zhu, Yuzhe Lu, Ruining Deng, Haichun Yang, Agnes B. Fogo, Yuankai Huo:
EasierPath: An Open-source Tool for Human-in-the-loop Deep Learning of Renal Pathology. CoRR abs/2007.13952 (2020)
Coauthor Index
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last updated on 2024-04-25 05:43 CEST by the dblp team
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