Zheyan Shen

1.3k total citations
17 papers, 499 citations indexed

About

Zheyan Shen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Zheyan Shen has authored 17 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Zheyan Shen's work include Domain Adaptation and Few-Shot Learning (7 papers), Gaussian Processes and Bayesian Inference (3 papers) and Machine Learning and ELM (2 papers). Zheyan Shen is often cited by papers focused on Domain Adaptation and Few-Shot Learning (7 papers), Gaussian Processes and Bayesian Inference (3 papers) and Machine Learning and ELM (2 papers). Zheyan Shen collaborates with scholars based in China, Hong Kong and United States. Zheyan Shen's co-authors include Peng Cui, Yue He, Renzhe Xu, Xingxuan Zhang, Linjun Zhou, Tong Zhang, Yue He, Jiashuo Liu, Bo Li and Zhitang Chen and has published in prestigious journals such as Pattern Recognition, IEEE Transactions on Knowledge and Data Engineering and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Zheyan Shen

16 papers receiving 485 citations

Peers

Countries citing papers authored by Zheyan Shen

Since Specialization

Citations

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

Fields of papers citing papers by Zheyan Shen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zheyan Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Zheyan Shen. A scholar is included among the top collaborators of Zheyan Shen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zheyan Shen. Zheyan Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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

17 of 17 papers shown

#	Work	Indexed citations
1	Stable Learning via Sparse Variable Independence 2023 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Han Yu, Peng Cui, (unknown), Zheyan Shen, Yong Lin, Renzhe Xu, Xingxuan Zhang	5
2	NICO++: Towards Better Benchmarking for Domain Generalization 2023 ·Xingxuan Zhang, Yue He, Renzhe Xu, (unknown), Zheyan Shen, Peng Cui	24
3	Towards Unsupervised Domain Generalization 2022 ·2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ·Xingxuan Zhang, Linjun Zhou, Renzhe Xu, Peng Cui, Zheyan Shen, (unknown)	24
4	Learning from Designers: Fashion Compatibility Analysis Via Dataset Distillation 2022 ·2022 IEEE International Conference on Image Processing (ICIP) ·Yulan Chen, Zhiyong Wu, Zheyan Shen, Jia Jia	2
5	Regulatory Instruments for Fair Personalized Pricing 2022 ·Proceedings of the ACM Web Conference 2022 ·Renzhe Xu, Xingxuan Zhang, Peng Cui, Bo Li, Zheyan Shen, (unknown)	6
6	Distributionally Robust Learning With Stable Adversarial Training 2022 ·IEEE Transactions on Knowledge and Data Engineering ·Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li	4
7	Integrated Latent Heterogeneity and Invariance Learning in Kernel Space 2021 ·Neural Information Processing Systems ·Jiashuo Liu, Zheyuan Hu, Peng Cui, Бо Ли, Zheyan Shen	0
8	Stable Adversarial Learning under Distributional Shifts 2021 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li, (unknown)	13
9	DARING: Differentiable Causal Discovery with Residual Independence 2021 ·Yue He, Peng Cui, Zheyan Shen, Renzhe Xu, Furui Liu, Yong Jiang	16
10	Deep Stable Learning for Out-Of-Distribution Generalization 2021 ·Xingxuan Zhang, Peng Cui, Renzhe Xu, Linjun Zhou, Yue He, Zheyan Shen	163
11	Counterfactual Prediction for Bundle Treatment 2020 ·Neural Information Processing Systems ·Hao Zou, Peng Cui, Bo Li, Zheyan Shen, Jianxin Ma, Hongxia Yang, Yue He	13
12	Causal Inference Meets Machine Learning 2020 ·Peng Cui, Zheyan Shen, Sheng Li, Liuyi Yao, Yaliang Li, Zhixuan Chu, Jing Gao	29
13	Stable Learning via Sample Reweighting 2020 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Zheyan Shen, Peng Cui, Tong Zhang, (unknown)	74
14	Stable Learning via Differentiated Variable Decorrelation 2020 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Zheyan Shen, Peng Cui, Jiashuo Liu, Tong Zhang, Bo Li, Zhitang Chen	23
15	Towards Non-I.I.D. image classification: A dataset and baselines 2020 ·Pattern Recognition ·Yue He, Zheyan Shen, Peng Cui	97
16	NICO: A Dataset Towards Non-I.I.D. Image Classification. 2019 ·arXiv (Cornell University) ·Yue He, Zheyan Shen, (unknown)	3
17	On Image Classification: Correlation v.s. Causality. 2017 ·Zheyan Shen, (unknown), Kun Kuang, Bo Li	3

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