Shuo Chen

2.7k citations

48 papers · 1.2k indexed · 1 hit paper · h-index 14

Impact in

Signal Processing top 1%
- Advanced Malware Detection Techniques
- Speech and Audio Processing
- Music and Audio Processing
Artificial Intelligence top 2%
- Security and Verification in Computing
- Domain Adaptation and Few-Shot Learning

Papers in ⓘ

Computer Vision and Pattern Recognition 25
- Face and Expression Recognition 15
- Advanced Neural Network Applications 4
Signal Processing 13
- Advanced Malware Detection Techniques 6
- Speech and Audio Processing 5

Co-authors: Jian Yang (14 shared papers)Ravishankar K. Iyer (4 shared papers)Emre C. Sezer (1 shared paper)Zongyan Han (3 shared papers)Zhenyong Fu (2 shared papers)Xiaolin Hu (1 shared paper)Xiang Li (1 shared paper)Zbigniew Kalbarczyk (2 shared papers)
Journals: IEEE Transactions on Cybernetics (2 papers)IEEE Transactions on Neural Networks and Learning Systems (2 papers)Pattern Recognition (2 papers)Scientific Reports (1 paper)Knowledge-Based Systems (1 paper)
Partner nations: China United States Japan

In The Last Decade

Shuo Chen

45 papers receiving 1.1k citations

Hit Papers

align trajectories log scale

Contrastive Embedding for Generalized Zero-Shot Learning 2021 · 175 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 Embedding for Generalized Zero-Shot Learning

Peers

Countries citing papers authored by Shuo Chen

Since Specialization

Citations

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

Fields of papers citing papers by Shuo Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shuo Chen, 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 Shuo Chen Line = papers co-authored together Shuo Chen 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 48 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Non-control-data attacks are realistic threats USENIX Security Symposium ·Shuo Chen, Jun Xu, Emre C. Sezer, Prachi Gauriar, Ravishankar K. Iyer	2005	311
2	Understanding the Disharmony Between Dropout and Batch Normalization by Variance Shift Xiang Li, Shuo Chen, Xiaolin Hu, Jian Yang	2019	184
3	Contrastive Embedding for Generalized Zero-Shot Learning Zongyan Han, Zhenyong Fu, Shuo Chen, Jian Yang Hit paper breakdown →	2021	175
4	Defeating Memory Corruption Attacks via Pointer Taintedness Detection Shuo Chen, Jun Xu, Nithin Nakka, Zbigniew Kalbarczyk, Ravishankar K. Iyer	2005	120
5	Cross-Modal Attention Network for Temporal Inconsistent Audio-Visual Event Localization Proceedings of the AAAI Conference on Artificial Intelligence ·Hanyu Xuan, Zhenyu Zhang, Shuo Chen, Jian Yang, Yan Yan	2020	66
6	Feature Selection Boosted by Unselected Features IEEE Transactions on Neural Networks and Learning Systems ·Wei Zheng, Shuo Chen, Zhenyong Fu, Fa Zhu, Hui Yan, Jian Yang	2021	34
7	Relative margin induced support vector ordinal regression Expert Systems with Applications ·Fa Zhu, Xingchi Chen, Shuo Chen, Wei Zheng, Weidu Ye	2023	26
8	GANSynth: Adversarial Neural Audio Synthesis arXiv (Cornell University) ·Jesse Engel, Kumar Krishna Agrawal, Shuo Chen, Ishaan Gulrajani, Chris Donahue, Adam P. Roberts	2019	26
9	Learnable low-rank latent dictionary for subspace clustering Pattern Recognition ·Yesong Xu, Shuo Chen, Jun Li, Lei Luo, Jian Yang	2021	23
10	Autoencoder-Based Latent Block-Diagonal Representation for Subspace Clustering IEEE Transactions on Cybernetics ·Yesong Xu, Shuo Chen, Jun Li, Zongyan Han, Jian Yang	2020	21
11	Fast subspace clustering by learning projective block diagonal representation Pattern Recognition ·Yesong Xu, Shuo Chen, Jun Li, Chunyan Xu, Jian Yang	2022	21
12	Low-Rank Latent Pattern Approximation with Applications to Robust Image Classification IEEE Transactions on Image Processing ·Shuo Chen, Jian Yang, Lei Luo, Wei Yang, Kaihua Zhang, Ying Tai	2017	20
13	Semantic Contrastive Embedding for Generalized Zero-Shot Learning International Journal of Computer Vision ·Zongyan Han, Zhenyong Fu, Shuo Chen, Jian Yang	2022	19
14	Harnessing Side Information for Classification Under Label Noise IEEE Transactions on Neural Networks and Learning Systems ·Wei Yang, Chen Gong, Shuo Chen, Tongliang Liu, Jian Yang, Dacheng Tao	2019	18
15	Linearity-Aware Subspace Clustering Proceedings of the AAAI Conference on Artificial Intelligence ·Yesong Xu, Shuo Chen, Jun Li, Jianjun Qian	2022	13
16	Obstacle Detection by Fusing Point Clouds and Monocular Image Neural Processing Letters ·Wei Yang, Jian Yang, Chen Gong, Shuo Chen, Jianjun Qian	2018	11
17	Curvilinear Distance Metric Learning Neural Information Processing Systems ·Shuo Chen, Lei Luo, Jian Yang, Chen Gong, Jun Li, Heng Huang	2019	10
18	δ-Norm-Based Robust Regression With Applications to Image Analysis IEEE Transactions on Cybernetics ·Shuo Chen, Jian Yang, Wei Yang, Lei Luo, Gui‐Fu Lu, Chen Gong	2019	10
19	Kernel K-means Based Framework for Aggregate Outputs Classification Shuo Chen, Bin Liu, Mingjie Qian, Changshui Zhang	2009	9
20	Can We Leverage Predictive Uncertainty to Detect Dataset Shift and Adversarial Examples in Android Malware Detection? Annual Computer Security Applications Conference ·Deqiang Li, Tian Qiu, Shuo Chen, Qianmu Li, Shouhuai Xu	2021	9

About Shuo Chen

Shuo Chen is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Computational Mechanics and Media Technology, having authored 48 papers that have together received 1.2k indexed citations. Recurring topics across this work include Face and Expression Recognition (15 papers), Domain Adaptation and Few-Shot Learning (6 papers), Advanced Malware Detection Techniques (6 papers), Sparse and Compressive Sensing Techniques (6 papers), Machine Learning and ELM (5 papers), Speech and Audio Processing (5 papers), Advanced Neural Network Applications (4 papers) and Security and Verification in Computing (4 papers). The work is most often cited by research in Signal Processing (485 citations), Artificial Intelligence (785 citations), Computer Vision and Pattern Recognition (398 citations), Software (42 citations) and Computer Networks and Communications (231 citations). Shuo Chen has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jian Yang, Ravishankar K. Iyer, Emre C. Sezer, Zongyan Han, Zhenyong Fu, Xiaolin Hu, Xiang Li, Zbigniew Kalbarczyk, Jun Xu and Nithin Nakka. Their work appears in journals such as IEEE Transactions on Cybernetics, IEEE Transactions on Neural Networks and Learning Systems, Pattern Recognition, Scientific Reports and Knowledge-Based Systems.

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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