Yongyi Lu

Yongyi Lu

Johns Hopkins University

H-index: 17

North America-United States

About Yongyi Lu

Yongyi Lu, With an exceptional h-index of 17 and a recent h-index of 15 (since 2020), a distinguished researcher at Johns Hopkins University, specializes in the field of Computer Vision, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Exploiting Structural Consistency of Chest Anatomy for Unsupervised Anomaly Detection in Radiography Images

Extensible Max-min Collaborative Retention for Online Mini-batch Learning Hash Retrieval

Making your first choice: to address cold start problem in medical active learning

Boosting dermatoscopic lesion segmentation via diffusion models with visual and textual prompts

Squid: Deep feature in-painting for unsupervised anomaly detection

Learning to In-paint: Domain Adaptive Shape Completion for 3D Organ Segmentation

Clip-driven universal model for organ segmentation and tumor detection

Data-Centric Diet: Effective Multi-center Dataset Pruning for Medical Image Segmentation

Yongyi Lu Information

University

Position

Postdoc in

Citations(all)

4021

Citations(since 2020)

3871

Cited By

457

hIndex(all)

17

hIndex(since 2020)

15

i10Index(all)

21

i10Index(since 2020)

19

Email

University Profile Page

Johns Hopkins University

Google Scholar

View Google Scholar Profile

Yongyi Lu Skills & Research Interests

Computer Vision

Machine Learning

Top articles of Yongyi Lu

Title

Journal

Author(s)

Publication Date

Exploiting Structural Consistency of Chest Anatomy for Unsupervised Anomaly Detection in Radiography Images

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

Tiange Xiang

Yixiao Zhang

Yongyi Lu

Alan Yuille

Chaoyi Zhang

...

2024/3/13

Extensible Max-min Collaborative Retention for Online Mini-batch Learning Hash Retrieval

IEEE Transactions on Multimedia

Junpeng Tan

Xiaojun Yang

Zhijing Yang

Ruihan Chen

Yongyi Lu

...

2024/2/2

Making your first choice: to address cold start problem in medical active learning

Liangyu Chen

Yutong Bai

Siyu Huang

Yongyi Lu

Bihan Wen

...

2023

Boosting dermatoscopic lesion segmentation via diffusion models with visual and textual prompts

Shiyi Du

Xiaosong Wang

Yongyi Lu

Yuyin Zhou

Shaoting Zhang

...

2023/10/4

Squid: Deep feature in-painting for unsupervised anomaly detection

Tiange Xiang

Yongyi Lu

Alan L Yuille

Chaoyi Zhang

Weidong Cai

...

2023/3/27

Learning to In-paint: Domain Adaptive Shape Completion for 3D Organ Segmentation

arXiv preprint arXiv:2308.08775

Mingjin Chen

Yongkang He

Yongyi Lu

Zhijing Yang

2023/8/17

Clip-driven universal model for organ segmentation and tumor detection

Jie Liu

Yixiao Zhang

Jie-Neng Chen

Junfei Xiao

Yongyi Lu

...

2023/7/14

Data-Centric Diet: Effective Multi-center Dataset Pruning for Medical Image Segmentation

arXiv preprint arXiv:2308.01189

Yongkang He

Mingjin Chen

Zhijing Yang

Yongyi Lu

2023/8/2

Spatial-temporal knowledge-embedded transformer for video scene graph generation

IEEE Transactions on Image Processing

Tao Pu

Tianshui Chen

Hefeng Wu

Yongyi Lu

Liang Lin

2023/12/28

Label-assemble: Leveraging multiple datasets with partial labels

Mintong Kang

Bowen Li

Zengle Zhu

Yongyi Lu

Elliot K Fishman

...

2023/1/22

3d transunet: Advancing medical image segmentation through vision transformers

arXiv preprint arXiv:2310.07781

Jieneng Chen

Jieru Mei

Xianhang Li

Yongyi Lu

Qihang Yu

...

2023/10/11

Open-World Pose Transfer via Sequential Test-Time Adaption

arXiv preprint arXiv:2303.10945

Junyang Chen

Xiaoyu Xian

Zhijing Yang

Tianshui Chen

Yongyi Lu

...

2023/3/20

Hybrid Feature Engineering for False Positive Reduction in Pancreatic Lesion Detection

Fengze Liu

Yongyi Lu

Yingda Xia

Wei Shen

Elliot Fishman

...

2022

Unsupervised domain adaptation through shape modeling for medical image segmentation

Medical Imaging with Deep Learning

Yuan Yao

Fengze Liu

Zongwei Zhou

Yan Wang

Wei Shen

...

2021/12/9

Exploring negatives in contrastive learning for unpaired image-to-image translation

ACM International Conference on Multimedia (ACM MM)

Yupei Lin

Sen Zhang

Tianshui Chen

Yongyi Lu

Guangping Li

...

2022/4/23

The felix project: Deep networks to detect pancreatic neoplasms

medRxiv

Yingda Xia

Qihang Yu

Linda Chu

Satomi Kawamoto

Seyoun Park

...

2022/9/25

Glance-and-gaze vision transformer

Advances in Neural Information Processing Systems

Qihang Yu

Yingda Xia

Yutong Bai

Yongyi Lu

Alan L Yuille

...

2021/12/6

MT-TransUNet: Mediating multi-task tokens in transformers for skin lesion segmentation and classification

arXiv preprint arXiv:2112.01767

Jingye Chen

Jieneng Chen

Zongwei Zhou

Bin Li

Alan Yuille

...

2021/12/3

Transunet: Transformers make strong encoders for medical image segmentation

arXiv preprint arXiv:2102.04306

Jieneng Chen

Yongyi Lu

Qihang Yu

Xiangde Luo

Ehsan Adeli

...

2021/2/8

Segmentation for classification of screening pancreatic neuroendocrine tumors

Zhuotun Zhu

Yongyi Lu

Wei Shen

Elliot K Fishman

Alan L Yuille

2021

See List of Professors in Yongyi Lu University(Johns Hopkins University)

Co-Authors

H-index: 152
elliot k fishman

elliot k fishman

Johns Hopkins University

H-index: 138
Alan Yuille

Alan Yuille

Johns Hopkins University

H-index: 44
Wei Shen (沈为)

Wei Shen (沈为)

Shanghai Jiao Tong University

H-index: 28
Yuyin Zhou

Yuyin Zhou

Stanford University

H-index: 26
Yan Wang

Yan Wang

East China Normal University

H-index: 17
Jieneng Chen

Jieneng Chen

Johns Hopkins University

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