Yucen Luo

700 total citations
6 papers, 326 citations indexed

About

Yucen Luo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Yucen Luo has authored 6 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 1 paper in Signal Processing. Recurrent topics in Yucen Luo's work include Domain Adaptation and Few-Shot Learning (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Advanced Neural Network Applications (2 papers). Yucen Luo is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Advanced Neural Network Applications (2 papers). Yucen Luo collaborates with scholars based in China, Germany and Canada. Yucen Luo's co-authors include Jun Zhu, Zhijie Deng, Yong Ren, Mengxi Li, Bo Zhang, Jialian Li, Ryan P. Adams, Mohammad Norouzi, Alex Beatson and Ricky T. Q. Chen and has published in prestigious journals such as arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Yucen Luo

6 papers receiving 316 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yucen Luo China	4	269	221	49	18	12	6	326
Hongzu Su China	8	261 1.0×	177 0.8×	32 0.7×	28 1.6×	13 1.1×	15	331
Limin Su China	5	226 0.8×	135 0.6×	23 0.5×	25 1.4×	6 0.5×	13	293
Zhimao Peng China	3	203 0.8×	242 1.1×	36 0.7×	14 0.8×	6 0.5×	5	343
Sylvestre-Alvise Rebuffi United Kingdom	5	314 1.2×	199 0.9×	43 0.9×	7 0.4×	26 2.2×	6	414
Yabin Zhang China	5	307 1.1×	252 1.1×	52 1.1×	40 2.2×	3 0.3×	10	374
You-Wei Luo China	7	295 1.1×	206 0.9×	36 0.7×	43 2.4×	7 0.6×	14	350
Zhihe Lu China	8	263 1.0×	384 1.7×	37 0.8×	18 1.0×	21 1.8×	16	458
Vinod K Kurmi India	9	195 0.7×	168 0.8×	37 0.8×	16 0.9×	25 2.1×	17	264

Countries citing papers authored by Yucen Luo

Since Specialization

Citations

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

Fields of papers citing papers by Yucen Luo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yucen Luo

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

6 of 6 papers shown

1.

Deng, Zhijie & Yucen Luo. (2023). Learning Neural Eigenfunctions for Unsupervised Semantic Segmentation. 551–561. 6 indexed citations

2.

Ren, Yong, Yucen Luo, & Jun Zhu. (2021). Improving Generative Moment Matching Networks with Distribution Partition. Proceedings of the AAAI Conference on Artificial Intelligence. 35(11). 9403–9410. 1 indexed citations

3.

Luo, Yucen, Alex Beatson, Mohammad Norouzi, et al.. (2020). SUMO: Unbiased Estimation of Log Marginal Probability for Latent Variable Models. arXiv (Cornell University). 2 indexed citations

4.

Deng, Zhijie, Yucen Luo, & Jun Zhu. (2019). Cluster Alignment With a Teacher for Unsupervised Domain Adaptation. 9943–9952. 157 indexed citations

5.

Luo, Yucen, Jun Zhu, Mengxi Li, Yong Ren, & Bo Zhang. (2018). Smooth Neighbors on Teacher Graphs for Semi-Supervised Learning. 8896–8905. 155 indexed citations

6.

Ren, Yong, Jun Zhu, Jialian Li, & Yucen Luo. (2016). Conditional Generative Moment-Matching Networks. arXiv (Cornell University). 29. 2928–2936. 5 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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