Ching-Yao Chuang

500 total citations
4 papers, 54 citations indexed

About

Ching-Yao Chuang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Ching-Yao Chuang has authored 4 papers receiving a total of 54 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Cognitive Neuroscience. Recurrent topics in Ching-Yao Chuang's work include Adversarial Robustness in Machine Learning (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Psychology of Moral and Emotional Judgment (1 paper). Ching-Yao Chuang is often cited by papers focused on Adversarial Robustness in Machine Learning (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Psychology of Moral and Emotional Judgment (1 paper). Ching-Yao Chuang collaborates with scholars based in United States and United Kingdom. Ching-Yao Chuang's co-authors include Neel Joshi, R Devon Hjelm, Antonio Torralba, Yale Song, Xin Wang, Stefanie Jegelka, Vibhav Vineet, Youssef Mroueh, BoRui Wu and Feng Liang and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), arXiv (Cornell University) and International Conference on Machine Learning.

In The Last Decade

Ching-Yao Chuang

4 papers receiving 52 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ching-Yao Chuang United States	3	44	31	6	4	3	4	54
Mohammad Al Sa’d United Kingdom	3	28 0.6×	26 0.8×	5 0.8×	2 0.5×	3 1.0×	4	58
Chen-Yu Lee Taiwan	1	28 0.6×	28 0.9×	4 0.7×	4 1.0×	3 1.0×	2	55
Ikumi Suzuki Japan	5	38 0.9×	19 0.6×	4 0.7×	3 0.8×	2 0.7×	16	55
Barun Patra United States	5	83 1.9×	26 0.8×	5 0.8×	7 1.8×	3 1.0×	15	106
Rafael Rafailov United States	3	37 0.8×	13 0.4×	5 0.8×	4 1.0×	2 0.7×	4	62
Mohammad Pezeshki Canada	2	25 0.6×	17 0.5×	4 0.7×	4 1.0×	5 1.7×	3	52
Nicolas Sidère France	5	20 0.5×	31 1.0×	8 1.3×	3 0.8×	3 1.0×	9	48
Sebastian Szyller Canada	2	56 1.3×	31 1.0×	5 0.8×	11 2.8×	2 0.7×	3	72
Sukmin Yun South Korea	3	44 1.0×	35 1.1×	2 0.3×	5 1.3×	4 1.3×	5	67
Hansheng Ren China	3	20 0.5×	32 1.0×	5 0.8×	6 1.5×	3 1.0×	4	48

Countries citing papers authored by Ching-Yao Chuang

Since Specialization

Citations

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

Fields of papers citing papers by Ching-Yao Chuang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching-Yao Chuang. 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 Ching-Yao Chuang. The network helps show where Ching-Yao Chuang may publish in the future.

Co-authorship network of co-authors of Ching-Yao Chuang

This figure shows the co-authorship network connecting the top 25 collaborators of Ching-Yao Chuang. A scholar is included among the top collaborators of Ching-Yao Chuang 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 Ching-Yao Chuang. Ching-Yao Chuang 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:

4 of 4 papers shown

1.

Wu, BoRui, Ching-Yao Chuang, Xiaoyan Wang, et al.. (2024). Fairy: Fast Parallelized Instruction-Guided Video-to-Video Synthesis. 8261–8270. 2 indexed citations

2.

Chuang, Ching-Yao, R Devon Hjelm, Xin Wang, et al.. (2022). Robust Contrastive Learning against Noisy Views. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 16649–16660. 49 indexed citations

3.

Chuang, Ching-Yao & Youssef Mroueh. (2021). Fair Mixup: Fairness via Interpolation. arXiv (Cornell University). 2 indexed citations

4.

Chuang, Ching-Yao, Antonio Torralba, & Stefanie Jegelka. (2020). Estimating Generalization under Distribution Shifts via Domain-Invariant Representations. International Conference on Machine Learning. 1984–1994. 1 indexed citations

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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