Yang He

3.7k citations

46 papers · 1.5k indexed · 2 hit papers · h-index 14

Impact in

Computer Vision and Pattern Recognition top 1%
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
Computational Mathematics top 5%

Papers in ⓘ

Computer Vision and Pattern Recognition 22
- Advanced Neural Network Applications 10
- Video Surveillance and Tracking Methods 4
- Human Pose and Action Recognition 3
- Visual Attention and Saliency Detection 3
Artificial Intelligence 15
- Domain Adaptation and Few-Shot Learning 3
- Anomaly Detection Techniques and Applications 3

Co-authors: Yi Yang (6 shared papers)Ping Liu (4 shared papers)Ziwei Wang (2 shared papers)Zhilan Hu (1 shared paper)Linchao Zhu (2 shared papers)Hanwang Zhang (1 shared paper)Yuhang Ding (1 shared paper)Yanwei Fu (1 shared paper)
Journals: IEEE Transactions on Neural Networks and Learning Systems (2 papers)IEEE Transactions on Cybernetics (2 papers)International Journal of Simulation Modelling (1 paper)International journal of agricultural and biological engineering (1 paper)IEEE Access (1 paper)
Partner nations: China Singapore Australia

In The Last Decade

Yang He

43 papers receiving 1.5k citations

Hit Papers

align trajectories log scale

Structured Pruning for Deep Convolutional Neural Networks: A Survey 2023 · 114 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.

2023 IEEE Transactions on Pattern Analysis and Machine Intelligence
2019 Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration

Peers

Countries citing papers authored by Yang He

Since Specialization

Citations

This map shows the geographic impact of Yang He'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 Yang He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang He more than expected).

Fields of papers citing papers by Yang He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yang He. 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 Yang He. The network helps show where Yang He may publish in the future.

Co-authors

The 25 scholars most cited alongside Yang He, 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 Yang He Line = papers co-authored together Yang He links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration Yang He, Ping Liu, Ziwei Wang, Zhilan Hu, Yi Yang Hit paper breakdown →	2019	705
2	Learning Filter Pruning Criteria for Deep Convolutional Neural Networks Acceleration Yang He, Yuhang Ding, Ping Liu, Linchao Zhu, Hanwang Zhang, Yi Yang	2020	149
3	Asymptotic Soft Filter Pruning for Deep Convolutional Neural Networks IEEE Transactions on Cybernetics ·Yang He, Xuanyi Dong, Guoliang Kang, Yanwei Fu, Chenggang Yan, Yi Yang	2019	136
4	Structured Pruning for Deep Convolutional Neural Networks: A Survey IEEE Transactions on Pattern Analysis and Machine Intelligence ·Yang He, Lingao Xiao Hit paper breakdown →	2023	114
5	Generating Adversarial Examples Against Machine Learning-Based Intrusion Detector in Industrial Control Systems IEEE Transactions on Dependable and Secure Computing ·Jiming Chen, Xiangshan Gao, Ruilong Deng, Yang He, Chongrong Fang, Peng Cheng	2020	47
6	TCNS: Node Selection With Privacy Protection in Crowdsensing Based on Twice Consensuses of Blockchain IEEE Transactions on Network and Service Management ·Jian An, Yang He, Xiaolin Gui, Wendong Zhang, Ruowei Gui, Jingjing Kang	2019	43
7	Filter Pruning by Switching to Neighboring CNNs With Good Attributes IEEE Transactions on Neural Networks and Learning Systems ·Yang He, Ping Liu, Linchao Zhu, Yi Yang	2022	41
8	Crowdsensing Quality Control and Grading Evaluation Based on a Two-Consensus Blockchain IEEE Internet of Things Journal ·Jian An, Danwei Liang, Xiaolin Gui, Yang He, Ruowei Gui, Xin He	2018	37
9	Loss-attentional physics-informed neural networks Journal of Computational Physics ·Yanjie Song, He Wang, Yang He, Maria Luisa Taccari, Xiaohui Chen	2024	36
10	Progressive Local Filter Pruning for Image Retrieval Acceleration IEEE Transactions on Multimedia ·Xiaodong Wang, Zhedong Zheng, Yang He, Fei Yan, Zhiqiang Zeng, Yi Yang	2023	26
11	Soft Person Reidentification Network Pruning via Blockwise Adjacent Filter Decaying IEEE Transactions on Cybernetics ·Xiaodong Wang, Zhedong Zheng, Yang He, Fei Yan, Zhiqiang Zeng, Yi Yang	2021	24
12	H-FL: A Hierarchical Communication-Efficient and Privacy-Protected Architecture for Federated Learning Yang He	2021	18
13	Anlotinib suppresses proliferation, migration, and immune escape of gastric cancer cells by activating the cGAS-STING/IFN-β pathway Neoplasma ·Min Yuan, Xianling Guo, Jianhua Chen, Yang He, Zhuqing Liu, Heping Zhang, Jie Ren, Qing Xu	2022	17
14	Alleviating Cold-start Problem in CTR Prediction with A Variational Embedding Learning Framework Proceedings of the ACM Web Conference 2022 ·Xiaoxiao Xu, Chen Yang, Qian Yu, Z. Fang, Jiaxing Wang, Chaosheng Fan, Yang He, Changping Peng, Zhangang Lin, Jingping Shao	2022	14
15	Virtual screening of potentially endocrine-disrupting chemicals against nuclear receptors and its application to identify PPARγ-bound fatty acids Archives of Toxicology ·Chaitanya K. Jaladanki, Yang He, Li Na Zhao, Sebastian Maurer‐Stroh, Lit‐Hsin Loo, Haiwei Song, Hao Fan	2020	13
16	Detector–Tracker Integration Framework for Autonomous Vehicles Pedestrian Tracking Remote Sensing ·Huanhuan Wang, Lisheng Jin, Yang He, Zhen Huo, Guangqi Wang, Xinyu Sun	2023	12
17	Pruning Filter via Geometric Median for Deep Convolutional Neural Networks Acceleration. arXiv (Cornell University) ·Yang He, Ping Liu, Ziwei Wang, Yi Yang	2018	11
18	An Attention-based Model for Conversion Rate Prediction with Delayed Feedback via Post-click Calibration Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Yumin Su, Liang Zhang, Quanyu Dai, Bo Zhang, Jinyao Yan, Dan Wang, Yongjun Bao, Sulong Xu, Yang He, Weipeng Yan	2020	11
19	A novel peptide to disrupt the interaction of BST‐2 and Vpu Biopolymers ·Zeyun Mi, Xin Wang, Yang He, Xiaoyu Li, Jiwei Ding, Hongyun Liu, Jinming Zhou, Shan Cen	2014	11
20	The Quality Control in Crowdsensing Based on Twice Consensuses of Blockchain Danwei Liang, Jian An, Jindong Cheng, Yang He, Ruowei Gui	2018	10

About Yang He

Yang He is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Control and Systems Engineering and Statistical and Nonlinear Physics, having authored 46 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (10 papers), Recommender Systems and Techniques (5 papers), Video Surveillance and Tracking Methods (4 papers), Mobile Crowdsensing and Crowdsourcing (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Human Pose and Action Recognition (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Visual Attention and Saliency Detection (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (959 citations), Computational Mathematics (19 citations), Artificial Intelligence (864 citations), Computer Science Applications (63 citations) and Signal Processing (84 citations). Yang He has collaborated with scholars based in China, Singapore and Australia. Frequent co-authors include Yi Yang, Ping Liu, Ziwei Wang, Zhilan Hu, Linchao Zhu, Hanwang Zhang, Yuhang Ding, Yanwei Fu, Chenggang Yan and Guoliang Kang. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Cybernetics, International Journal of Simulation Modelling, International journal of agricultural and biological engineering and IEEE Access.

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.

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