Shaobo Hou

1.7k total citations
7 papers, 122 citations indexed

About

Shaobo Hou is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shaobo Hou has authored 7 papers receiving a total of 122 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Control and Systems Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shaobo Hou's work include Reinforcement Learning in Robotics (3 papers), Human Motion and Animation (2 papers) and Gaussian Processes and Bayesian Inference (2 papers). Shaobo Hou is often cited by papers focused on Reinforcement Learning in Robotics (3 papers), Human Motion and Animation (2 papers) and Gaussian Processes and Bayesian Inference (2 papers). Shaobo Hou collaborates with scholars based in United Kingdom, Canada and United States. Shaobo Hou's co-authors include Aphrodite Galata, David Silver, André Barreto, Doina Precup, Neil A. Thacker, Paul A. Bromiley, Diana Borsa, Fabrice Caillette, Jonathan J. Hunt and Daniel Toyama and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Research Explorer (The University of Manchester) and arXiv (Cornell University).

In The Last Decade

Shaobo Hou

7 papers receiving 119 citations

Peers

Shaobo Hou

CVPR

AI

CSE

SP

CN

Bertram Nickolay Germany

Manuel Watter Germany

Saikat Roy India

Paul Szerlip United States

Jiajun Wu China

Quentin Duval France

Jonathan Schwarz United Kingdom

Mark Ring Switzerland

Reuth Mirsky United States

Te-Lin Wu United States

Bertram Nickolay Germany

Shaobo Hou

62 ×1.0

CVPR

33 ×0.6

AI

36 ×1.0

CSE

6 ×0.4

SP

4 ×0.3

CN

Citations per year, relative to Shaobo Hou Shaobo Hou (= 1×) peers Bertram Nickolay

Countries citing papers authored by Shaobo Hou

Since Specialization

Citations

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

Fields of papers citing papers by Shaobo Hou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaobo Hou

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

All Works

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7 of 7 papers shown

1.

Barreto, André, Shaobo Hou, Diana Borsa, David Silver, & Doina Precup. (2020). Fast reinforcement learning with generalized policy updates. Proceedings of the National Academy of Sciences. 117(48). 30079–30087. 37 indexed citations

2.

Barreto, André, Diana Borsa, Shaobo Hou, et al.. (2019). The Option Keyboard: Combining Skills in Reinforcement Learning. arXiv (Cornell University). 32. 13031–13041. 15 indexed citations

3.

Precup, Doina, et al.. (2018). Knowledge Representation for Reinforcement Learning using General Value Functions. 1 indexed citations

4.

Xie, Saining, et al.. (2018). Transferring Task Goals via Hierarchical Reinforcement Learning. 2 indexed citations

5.

Hou, Shaobo, et al.. (2010). Visual speech synthesis by modelling coarticulation dynamics using a non-parametric switching state-space model. Research Explorer (The University of Manchester). 1–8. 14 indexed citations

6.

Hou, Shaobo & Aphrodite Galata. (2008). Robust estimation of gaussian mixtures from noisy input data. Research Explorer (The University of Manchester). 17. 1–8. 6 indexed citations

7.

Hou, Shaobo, Aphrodite Galata, Fabrice Caillette, Neil A. Thacker, & Paul A. Bromiley. (2007). Real-time Body Tracking Using a Gaussian Process Latent Variable Model. Research Explorer (The University of Manchester). 1–8. 47 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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