Shaohui Lin

3.6k citations

62 papers · 2.1k · 2 hit papers · h-index 17

Impact in

Computer Vision and Pattern Recognition top 0.5%
- Advanced Neural Network Applications
- Image Enhancement Techniques
- Video Surveillance and Tracking Methods
- Advanced Image Processing Techniques
- Image and Signal Denoising Methods
Computational Mathematics top 5%

Papers in

Computer Vision and Pattern Recognition 39
- Advanced Neural Network Applications 13
- Human Pose and Action Recognition 10
- Image and Signal Denoising Methods 10
- Video Surveillance and Tracking Methods 7
- Multimodal Machine Learning Applications 7
- Advanced Image Processing Techniques 7
- Advanced Vision and Imaging 6
Artificial Intelligence 15
- Domain Adaptation and Few-Shot Learning 7

Co-authors: Rongrong Ji (12 shared papers)Lizhuang Ma (10 shared papers)Yanyun Qu (6 shared papers)Yuan Xie (6 shared papers)Zhizhong Zhang (6 shared papers)Feiyue Huang (5 shared papers)Baochang Zhang (9 shared papers)Ruizhi Qiao (4 shared papers)
Journals: Neurocomputing (3 papers)IEEE Transactions on Image Processing (2 papers)Pattern Recognition (2 papers)Displays (1 paper)Electronics (1 paper)
Partner nations: China United States Sweden

In The Last Decade

Shaohui Lin

53 papers receiving 2.0k citations

Shaohui Lin's Hit Papers

align trajectories log scale

Contrastive Learning for Compact Single Image Dehazing 2021 · 584 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2021 Contrastive Learning for Compact Single Image Dehazing
2019 Towards Optimal Structured CNN Pruning via Generative Adversarial Learning

Peers

Countries citing papers authored by Shaohui Lin

Since Specialization

Citations

This map shows the geographic impact of Shaohui Lin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Shaohui Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaohui Lin more than expected).

Fields of papers citing papers by Shaohui Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shaohui Lin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Shaohui Lin. The network helps show where Shaohui Lin may publish in the future.

Co-authors

The 25 scholars most cited alongside Shaohui Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shaohui Lin Line = papers co-authored together Shaohui Lin links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Contrastive Learning for Compact Single Image Dehazing Haiyan Wu, Yanyun Qu, Shaohui Lin, Jian Zhou, Ruizhi Qiao, Zhizhong Zhang, Yuan Xie, Lizhuang Ma Hit paper breakdown →	2021	584
2	Towards Optimal Structured CNN Pruning via Generative Adversarial Learning Shaohui Lin, Rongrong Ji, Chenqian Yan, Baochang Zhang, Liujuan Cao, Qixiang Ye, Feiyue Huang, David Doermann Hit paper breakdown →	2019	358
3	Toward Compact ConvNets via Structure-Sparsity Regularized Filter Pruning IEEE Transactions on Neural Networks and Learning Systems ·Shaohui Lin, Rongrong Ji, Yuchao Li, Cheng Deng, Xuelong Li	2019	134
4	Accelerating Convolutional Networks via Global & Dynamic Filter Pruning Shaohui Lin, Rongrong Ji, Yuchao Li, Yongjian Wu, Feiyue Huang, Baochang Zhang	2018	131
5	Holistic CNN Compression via Low-Rank Decomposition with Knowledge Transfer IEEE Transactions on Pattern Analysis and Machine Intelligence ·Shaohui Lin, Rongrong Ji, Chao Chen, Dacheng Tao, Jiebo Luo	2018	125
6	Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification Xudong Tian, Zhizhong Zhang, Shaohui Lin, Yanyun Qu, Yuan Xie, Lizhuang Ma	2021	110
7	Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression Yuchao Li, Shaohui Lin, Baochang Zhang, Jianzhuang Liu, David Doermann, Yongjian Wu, Feiyue Huang, Rongrong Ji	2019	92
8	An ANFIS-based fault classification approach in power distribution system International Journal of Electrical Power & Energy Systems ·Jinlu Zhang, Zhiyi He, Shaohui Lin, Yuchen Zhang, Q. Q. Qian	2013	72
9	Towards Compact CNNs via Collaborative Compression Yuchao Li, Shaohui Lin, Jianzhuang Liu, Qixiang Ye, Mengdi Wang, Fei Chao, Fan Yang, Jincheng Ma, Qi Tian, Rongrong Ji	2021	53
10	Comprehensive Regularization in a Bi-directional Predictive Network for Video Anomaly Detection Proceedings of the AAAI Conference on Artificial Intelligence ·Cheng‐Wei Chen, Yuan Xie, Shaohui Lin, Angela Yao, Guannan Jiang, Wěi Zhāng, Yanyun Qu, Ruizhi Qiao, Bo Ren, Lizhuang Ma	2022	45
11	Towards Compact Single Image Super-Resolution via Contrastive Self-distillation Yanbo Wang, Shaohui Lin, Yanyun Qu, Haiyan Wu, Zhizhong Zhang, Yuan Xie, Angela Yao	2021	37
12	Masked face detection via a modified LeNet Neurocomputing ·Shaohui Lin, Ling Cai, Xianming Lin, Rongrong Ji	2016	37
13	MISSU: 3D Medical Image Segmentation via Self-Distilling TransUNet IEEE Transactions on Medical Imaging ·Nan Wang, Shaohui Lin, Xiaoxiao Li, Ke Li, Yunhang Shen, Yue Gao, Lizhuang Ma	2023	33
14	Towards convolutional neural networks compression via global error reconstruction Institutional Repository of Xi'an Institute of Optics and Fine Mechanics, Chinese Academy of Sciences (Xian Institute of Optics and Precision Mechanics) ·Shaohui Lin, Rongrong Ji, Xiaowei Guo, Xuelong Li	2016	30
15	GEAR VIBRATION ANALYSIS BY B-SPLINE WAVELET-BASED LINEAR WAVELET TRANSFORM Mechanical Systems and Signal Processing ·Shaohui Lin, P.D. McFadden	1997	29
16	ESPACE: Accelerating Convolutional Neural Networks via Eliminating Spatial and Channel Redundancy Proceedings of the AAAI Conference on Artificial Intelligence ·Shaohui Lin, Rongrong Ji, Chao Chen, Feiyue Huang	2017	17
17	Pruning Blocks for CNN Compression and Acceleration via Online Ensemble Distillation IEEE Access ·Zongyue Wang, Shaohui Lin, Jiao Xie, Yangbin Lin	2019	16
18	Analytical Prediction of Cogging Torque for Spoke Type Permanent Magnet Machines IEEE Transactions on Magnetics ·D. Lin, Ping Zhou, Chao Lu, Shaohui Lin	2012	14
19	Hybrid knowledge distillation from intermediate layers for efficient Single Image Super-Resolution Neurocomputing ·Jiao Xie, Linrui Gong, Shitong Shao, Shaohui Lin, Linkai Luo	2023	11
20	Aligning and Prompting Everything All at Once for Universal Visual Perception Yunhang Shen, Chaoyou Fu, Peixian Chen, Mengdan Zhang, Ke Li, Xing Sun, Yunsheng Wu, Shaohui Lin, Rongrong Ji	2024	10

About Shaohui Lin

Shaohui Lin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Electrical and Electronic Engineering and Mechanical Engineering, having authored 62 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (13 papers), Human Pose and Action Recognition (10 papers), Image and Signal Denoising Methods (10 papers), Domain Adaptation and Few-Shot Learning (7 papers), Video Surveillance and Tracking Methods (7 papers), Multimodal Machine Learning Applications (7 papers), Advanced Image Processing Techniques (7 papers) and Advanced Vision and Imaging (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Computational Mathematics (31 citations), Media Technology (325 citations), Artificial Intelligence (791 citations) and Safety, Risk, Reliability and Quality (81 citations). Shaohui Lin has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Rongrong Ji, Lizhuang Ma, Yanyun Qu, Yuan Xie, Zhizhong Zhang, Feiyue Huang, Baochang Zhang, Ruizhi Qiao, Haiyan Wu and Jian Zhou. Their work appears in journals such as Neurocomputing, IEEE Transactions on Image Processing, Pattern Recognition, Displays and Electronics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Shaohui Lin

Impact in

Papers in i

In The Last Decade

Shaohui Lin

Shaohui Lin's Hit Papers

Peers

Countries citing papers authored by Shaohui Lin

Fields of papers citing papers by Shaohui Lin

All Works

About Shaohui Lin

Explore authors with similar magnitude of impact

Papers in