Kyle Hsu

2.7k total citations
8 papers, 100 citations indexed

About

Kyle Hsu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Kyle Hsu has authored 8 papers receiving a total of 100 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Computational Theory and Mathematics. Recurrent topics in Kyle Hsu's work include Logic, programming, and type systems (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Formal Methods in Verification (2 papers). Kyle Hsu is often cited by papers focused on Logic, programming, and type systems (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Formal Methods in Verification (2 papers). Kyle Hsu collaborates with scholars based in Canada, United States and Switzerland. Kyle Hsu's co-authors include Kaushik Mallik, Rupak Majumdar, Anne-Kathrin Schmuck, Ryan Going, Tae Joon Seok, Ming C. Wu, Sergey Levine, Chelsea Finn, Benjamin Eysenbach and Richard Lawrence and has published in prestigious journals such as Optics Express, arXiv (Cornell University) and International Conference on Artificial Intelligence and Statistics.

In The Last Decade

Kyle Hsu

8 papers receiving 91 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kyle Hsu Canada	6	39	37	31	14	14	8	100
Zhufei Chu China	10	33 0.8×	200 5.4×	88 2.8×	7 0.5×	4 0.3×	61	248
Moritoshi Yasunaga Japan	6	49 1.3×	52 1.4×	15 0.5×	10 0.7×	13 0.9×	46	118
Joo Yeon Cho Germany	6	52 1.3×	75 2.0×	8 0.3×	4 0.3×	14 1.0×	14	120
Victor Malyshkin Russia	6	16 0.4×	7 0.2×	12 0.4×	8 0.6×	11 0.8×	34	97
Owen Lockwood United States	4	99 2.5×	27 0.7×	18 0.6×	8 0.6×	3 0.2×	5	124
Himali Sarangal India	9	45 1.2×	238 6.4×	9 0.3×	3 0.2×	3 0.2×	33	262
Pouya Haghi United States	7	17 0.4×	37 1.0×	9 0.3×	6 0.4×	22 1.6×	22	120
Kai Xiao United States	4	119 3.1×	29 0.8×	5 0.2×	19 1.4×	34 2.4×	5	141
Baptiste Rozière United States	5	39 1.0×	7 0.2×	15 0.5×		10 0.7×	7	73
Jianyu Huang United States	6	35 0.9×	20 0.5×	15 0.5×	2 0.1×	16 1.1×	9	89

Countries citing papers authored by Kyle Hsu

Since Specialization

Citations

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

Fields of papers citing papers by Kyle Hsu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyle Hsu

This figure shows the co-authorship network connecting the top 25 collaborators of Kyle Hsu. A scholar is included among the top collaborators of Kyle Hsu 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 Kyle Hsu. Kyle Hsu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Pham, D. T., et al.. (2022). Extending Functionalities on a Web-based Portal for Research Computing. Practice and Experience in Advanced Research Computing. 1–4. 5 indexed citations

2.

Lawrence, Richard, et al.. (2022). Expanding Interactive Computing to Facilitate Informal Instruction in Research Computing. 13(1). 50–54. 5 indexed citations

3.

Dziugaite, Gintare Karolina, et al.. (2021). On the role of data in PAC-Bayes. International Conference on Artificial Intelligence and Statistics. 604–612. 2 indexed citations

4.

Jabri, Allan, Kyle Hsu, Benjamin Eysenbach, et al.. (2019). Unsupervised Curricula for Visual Meta-Reinforcement Learning. arXiv (Cornell University). 32. 10519–10531. 6 indexed citations

5.

Hsu, Kyle, Sergey Levine, & Chelsea Finn. (2018). Unsupervised Learning via Meta-Learning. arXiv (Cornell University). 11 indexed citations

6.

Hsu, Kyle, Rupak Majumdar, Kaushik Mallik, & Anne-Kathrin Schmuck. (2018). Multi-Layered Abstraction-Based Controller Synthesis for Continuous-Time Systems. 120–129. 33 indexed citations

7.

Hsu, Kyle, Rupak Majumdar, Kaushik Mallik, & Anne-Kathrin Schmuck. (2018). Lazy Abstraction-Based Control for Reachability.. 2 indexed citations

8.

Going, Ryan, et al.. (2015). Germanium wrap-around photodetectors on Silicon photonics. Optics Express. 23(9). 11975–11975. 36 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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