Runsheng Yu

814 total citations · 1 hit paper
15 papers, 453 citations indexed

About

Runsheng Yu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Runsheng Yu has authored 15 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Management Science and Operations Research. Recurrent topics in Runsheng Yu's work include Reinforcement Learning in Robotics (6 papers), Visual Attention and Saliency Detection (2 papers) and Game Theory and Applications (2 papers). Runsheng Yu is often cited by papers focused on Reinforcement Learning in Robotics (6 papers), Visual Attention and Saliency Detection (2 papers) and Game Theory and Applications (2 papers). Runsheng Yu collaborates with scholars based in Singapore, China and Hong Kong. Runsheng Yu's co-authors include Wenyu Liu, Shi Guo, Lei Zhang, Jianke Zhu, Gaofeng Ren, Bo An, Deli Zhao, Bo Zhang, Yu Zhu and Wenwu Ou and has published in prestigious journals such as International Journal of Hydrogen Energy, Materials Characterization and Information Technology And Control.

In The Last Decade

Runsheng Yu

14 papers receiving 442 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions

2022 309 citations Wenyu Liu, Gaofeng Ren et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →

Peers

Runsheng Yu

CVPR

AI

IS

MT

AE

Oihana Otaegui Spain

Ke Nai China

Xiaoke Zhao China

Yi Cao China

Lili Fan China

Tariq Rahim South Korea

Maria Tzelepi Greece

V. Pattabiraman India

Esteban J. Palomo Spain

Oihana Otaegui Spain

Runsheng Yu

274 ×0.9

CVPR

56 ×0.8

AI

16 ×0.3

IS

36 ×0.6

MT

45 ×0.9

AE

Citations per year, relative to Runsheng Yu Runsheng Yu (= 1×) peers Oihana Otaegui

Countries citing papers authored by Runsheng Yu

Since Specialization

Citations

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

Fields of papers citing papers by Runsheng Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Runsheng Yu

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

15 of 15 papers shown

1.

Zhu, Te, Peng Zhang, Qianqian Wang, et al.. (2025). Effect of vacancy-mediated precipitation on the microstructure and mechanical properties of 7075 aluminum alloy. Materials Characterization. 229. 115616–115616.

2.

Li, Pengdeng, et al.. (2024). Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games. Proceedings of the AAAI Conference on Artificial Intelligence. 38(16). 17469–17476. 2 indexed citations

3.

Liu, Wenyu, Gaofeng Ren, Runsheng Yu, et al.. (2022). Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions. Proceedings of the AAAI Conference on Artificial Intelligence. 36(2). 1792–1800. 309 indexed citations breakdown →

4.

Wang, Qianqian, Xiao Liu, Te Zhu, et al.. (2022). Mechanism of hydrogen-induced defects and cracking in Ti and Ti–Mo alloy. International Journal of Hydrogen Energy. 48(15). 5801–5809. 13 indexed citations

5.

Yu, Runsheng, et al.. (2022). Constraint-aware Policy Optimization to Solve the Vehicle Routing Problem with Time Windows. Information Technology And Control. 51(1). 126–138. 2 indexed citations

6.

Yu, Runsheng, et al.. (2022). DO-GAN: A Double Oracle Framework for Generative Adversarial Networks. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 11265–11274. 1 indexed citations

7.

Qiu, Wei, et al.. (2021). RMIX: Learning Risk-Sensitive Policies forCooperative Reinforcement Learning Agents. arXiv (Cornell University). 34. 1 indexed citations

8.

Qiu, Wei, et al.. (2021). RMIX: Risk-Sensitive Multi-Agent Reinforcement Learning. 1 indexed citations

9.

Yu, Runsheng, et al.. (2021). Neural Regret-Matching for Distributed Constraint Optimization Problems. 146–153. 3 indexed citations

10.

Yu, Runsheng, Yu Gong, Yu Zhu, et al.. (2021). Personalized Adaptive Meta Learning for Cold-start User Preference Prediction. Proceedings of the AAAI Conference on Artificial Intelligence. 35(12). 10772–10780. 41 indexed citations

11.

Yu, Runsheng, et al.. (2020). Learning Efficient Multi-agent Communication: An Information Bottleneck Approach. International Conference on Machine Learning. 1. 9908–9918. 3 indexed citations

12.

Yu, Runsheng, et al.. (2020). Learning Expensive Coordination: An Event-Based Deep RL Approach. International Conference on Learning Representations. 3 indexed citations

13.

Yu, Runsheng, et al.. (2020). I²HRL: Interactive Influence-based Hierarchical Reinforcement Learning. 3131–3138. 6 indexed citations

14.

An, Bo, et al.. (2020). Learning to Collaborate in Multi-Module Recommendation via Multi-Agent Reinforcement Learning without Communication. 210–219. 21 indexed citations

15.

Yu, Runsheng, et al.. (2018). DeepExposure: Learning to Expose Photos with Asynchronously Reinforced Adversarial Learning. Neural Information Processing Systems. 31. 2149–2159. 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.

Explore authors with similar magnitude of impact