Liang Wan

Liang Wan

Tianjin University

H-index: 24

Asia-China

About Liang Wan

Liang Wan, With an exceptional h-index of 24 and a recent h-index of 20 (since 2020), a distinguished researcher at Tianjin University, specializes in the field of computer vision, medical image processing.

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

Learning Physical-Spatio-Temporal Features for Video Shadow Removal

Difference-guided multi-scale spatial-temporal representation for sign language recognition

Medical phrase grounding with region-phrase context contrastive alignment

Measuring Asymmetric Gradient Discrepancy in Parallel Continual Learning

Exploration of the etiology of single small subcortical infarctions using high-resolution vessel wall MRI

Open Compound Domain Adaptation with Object Style Compensation for Semantic Segmentation

Uncertainty-Aware Multi-Dimensional Mutual Learning for Brain and Brain Tumor Segmentation

Arbitrary-scale super-resolution via deep learning: A comprehensive survey

Liang Wan Information

University

Position

College of Intelligence and Computing Medical College

Citations(all)

2840

Citations(since 2020)

2042

Cited By

1492

hIndex(all)

24

hIndex(since 2020)

20

i10Index(all)

47

i10Index(since 2020)

36

Email

University Profile Page

Tianjin University

Google Scholar

View Google Scholar Profile

Liang Wan Skills & Research Interests

computer vision

medical image processing

Top articles of Liang Wan

Title

Journal

Author(s)

Publication Date

Learning Physical-Spatio-Temporal Features for Video Shadow Removal

arXiv preprint arXiv:2303.09370

Zhihao Chen

Liang Wan

Yefan Xiao

Lei Zhu

Huazhu Fu

2023/3/16

Difference-guided multi-scale spatial-temporal representation for sign language recognition

The Visual Computer

Liqing Gao

Lianyu Hu

Fan Lyu

Lei Zhu

Liang Wan

...

2023/8

Medical phrase grounding with region-phrase context contrastive alignment

Zhihao Chen

Yang Zhou

Anh Tran

Junting Zhao

Liang Wan

...

2023/10/1

Measuring Asymmetric Gradient Discrepancy in Parallel Continual Learning

Fan Lyu

Qing Sun

Fanhua Shang

Liang Wan

Wei Feng

2023

Exploration of the etiology of single small subcortical infarctions using high-resolution vessel wall MRI

Frontiers in Neurology

Yutian Li

Quanzhi Feng

Congcong Wang

Xianchang Zhang

Liang Wan

...

2023/5/30

Open Compound Domain Adaptation with Object Style Compensation for Semantic Segmentation

arXiv preprint arXiv:2309.16127

Tingliang Feng

Hao Shi

Xueyang Liu

Wei Feng

Liang Wan

...

2023/9/28

Uncertainty-Aware Multi-Dimensional Mutual Learning for Brain and Brain Tumor Segmentation

IEEE Journal of Biomedical and Health Informatics

Junting Zhao

Zhaohu Xing

Zhihao Chen

Liang Wan

Tong Han

...

2023/5/8

Arbitrary-scale super-resolution via deep learning: A comprehensive survey

Information Fusion

Hongying Liu

Zekun Li

Fanhua Shang

Yuanyuan Liu

Liang Wan

...

2023/9/25

Long-Tailed Learning as Multi-Objective Optimization

Weiqi Li

Fan Lyu

Fanhua Shang

Liang Wan

Wei Feng

2024/3/24

Diff-UNet: A Diffusion Embedded Network for Volumetric Segmentation

arXiv preprint arXiv:2303.10326

Zhaohu Xing

Liang Wan

Huazhu Fu

Guang Yang

Lei Zhu

2023/3/18

Active camera relocation method having robustness to illumination

2023/9/21

Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer

Neural Computing and Applications

Yuanjie Yan

Yuxuan Bu

Furao Shen

Jian Zhao

2024/3

HybridMIM: A Hybrid Masked Image Modeling Framework for 3D Medical Image Segmentation

arXiv preprint arXiv:2303.10333

Zhaohu Xing

Lei Zhu

Lequan Yu

Zhiheng Xing

Liang Wan

2023/3/18

Multi-modal deep-fusion network for meningioma presurgical grading with integrative imaging and clinical data

The Visual Computer

Wennan Liu

Tianling Liu

Tong Han

Liang Wan

2023/8

Phase-based fine-grained change detection

Expert Systems with Applications

Xuzhi Wang

Liang Wan

Di Lin

Wei Feng

2023/10/1

NestedFormer: Nested modality-aware transformer for brain tumor segmentation

Zhaohu Xing

Lequan Yu

Liang Wan

Tong Han

Lei Zhu

2022/9/16

Joint Prediction of Meningioma Grade and Brain Invasion via Task-Aware Contrastive Learning

Tianling Liu

Wennan Liu

Lequan Yu

Liang Wan

Tong Han

...

2022/9/16

Multi-View Fusion for Sign Language Recognition through Knowledge Transfer Learning

Liqing Gao

Lei Zhu

Senhua Xue

Liang Wan

Ping Li

...

2022/12/27

Fine-grained scale space learning for single image super-resolution

The Visual Computer

Ye Liu

Liang Wan

Fan Lyu

Wei Feng

2022/9

ICBNet: Iterative Context-Boundary Feedback Network for Polyp Segmentation

Yefan Xiao

Zhihao Chen

Liang Wan

Lequan Yu

Lei Zhu

2022/12/6

See List of Professors in Liang Wan University(Tianjin University)

Co-Authors

H-index: 76
Zhouchen Lin

Zhouchen Lin

Peking University

H-index: 48
Song Wang

Song Wang

University of South Carolina

H-index: 34
Wei Feng

Wei Feng

Tianjin University

H-index: 32
Lei Zhu

Lei Zhu

University of Cambridge

H-index: 26
Jiawan Zhang

Jiawan Zhang

Tianjin University

H-index: 12
Ruize Han

Ruize Han

Tianjin University

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