Shuyang Gu

2.1k total citations · 4 hit papers
26 papers, 984 citations indexed

About

Shuyang Gu is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Shuyang Gu has authored 26 papers receiving a total of 984 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 5 papers in Computer Networks and Communications and 5 papers in Artificial Intelligence. Recurrent topics in Shuyang Gu's work include Generative Adversarial Networks and Image Synthesis (7 papers), Complexity and Algorithms in Graphs (5 papers) and Complex Network Analysis Techniques (4 papers). Shuyang Gu is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (7 papers), Complexity and Algorithms in Graphs (5 papers) and Complex Network Analysis Techniques (4 papers). Shuyang Gu collaborates with scholars based in China, United States and United Kingdom. Shuyang Gu's co-authors include Fang Wen, Dong Chen, Jianmin Bao, Baining Guo, Bo Zhang, Lu Yuan, Dongdong Chen, Ting Zhang, Yong Wang and Bowen Zhang and has published in prestigious journals such as Theoretical Computer Science, Journal of Parallel and Distributed Computing and Journal of Global Optimization.

In The Last Decade

Shuyang Gu

22 papers receiving 965 citations

Hit Papers

Vector Quantized Diffusion Model for Text-to-Image Synthesis 2022 2026 2023 2024 2022 2022 2023 2023 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuyang Gu China 8 723 180 156 106 62 26 984
Omer Tov Israel 8 910 1.3× 197 1.1× 179 1.1× 107 1.0× 72 1.2× 12 1.1k
Yijun Li United States 16 1.2k 1.7× 203 1.1× 190 1.2× 61 0.6× 110 1.8× 42 1.4k
Tinghui Zhou United States 9 962 1.3× 344 1.9× 140 0.9× 191 1.8× 70 1.1× 21 1.2k
Youngjung Uh South Korea 9 1.2k 1.7× 175 1.0× 276 1.8× 75 0.7× 87 1.4× 35 1.4k
Aleksander Holynski United States 11 657 0.9× 242 1.3× 119 0.8× 152 1.4× 36 0.6× 19 900
Yunjey Choi South Korea 5 970 1.3× 138 0.8× 211 1.4× 64 0.6× 68 1.1× 6 1.1k
Ron Mokady Israel 9 700 1.0× 174 1.0× 134 0.9× 97 0.9× 67 1.1× 10 845
Roman Suvorov Russia 5 490 0.7× 93 0.5× 107 0.7× 45 0.4× 24 0.4× 17 682
Wei Xing China 16 543 0.8× 110 0.6× 78 0.5× 54 0.5× 70 1.1× 57 774
Arsenii Ashukha Russia 4 520 0.7× 93 0.5× 181 1.2× 52 0.5× 31 0.5× 6 694

Countries citing papers authored by Shuyang Gu

Since Specialization
Citations

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

Fields of papers citing papers by Shuyang Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuyang Gu

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

All Works

20 of 20 papers shown
1.
2.
Gu, Shuyang, et al.. (2025). VolumeDiffusion: Feed-forward text-to-3D generation with efficient volumetric encoder. Graphical Models. 140. 101274–101274. 2 indexed citations
4.
Geng, Zigang, Chen Li, Shuyang Gu, et al.. (2024). InstructDiffusion: A Generalist Modeling Interface for Vision Tasks. 12709–12720. 17 indexed citations
5.
Luo, Chuanwen, Jian Zhang, Jianxiong Guo, et al.. (2024). Energy Efficiency Maximization in RISs-Assisted UAVs-Based Edge Computing Network Using Deep Reinforcement Learning. Big Data Mining and Analytics. 7(4). 1065–1083. 7 indexed citations
6.
Gu, Shuyang, et al.. (2023). Profit maximization in social networks and non-monotone DR-submodular maximization. Theoretical Computer Science. 957. 113847–113847. 1 indexed citations
7.
Gu, Shuyang, Chen Li, Jianmin Bao, et al.. (2023). Efficient Diffusion Training via Min-SNR Weighting Strategy. 7407–7417. 28 indexed citations
8.
Gu, Shuyang, Bo Zhang, Ting Zhang, et al.. (2023). Paint by Example: Exemplar-based Image Editing with Diffusion Models. 18381–18391. 140 indexed citations breakdown →
9.
Wang, Tengfei, Bo Zhang, Ting Zhang, et al.. (2023). RODIN: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 4563–4573. 107 indexed citations breakdown →
10.
Gu, Shuyang, Dong Chen, Jianmin Bao, et al.. (2022). Vector Quantized Diffusion Model for Text-to-Image Synthesis. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 10686–10696. 355 indexed citations breakdown →
11.
Huang, Jun, Cong-Cong Xing, Shuyang Gu, & Erich J. Baker. (2022). Drop Maslow's Hammer or not. ACM SIGAPP Applied Computing Review. 22(1). 5–14. 5 indexed citations
12.
Zhang, Bowen, Shuyang Gu, Bo Zhang, et al.. (2022). StyleSwin: Transformer-based GAN for High-resolution Image Generation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 11294–11304. 150 indexed citations breakdown →
13.
Gu, Shuyang, et al.. (2021). Adaptive seeding for profit maximization in social networks. Journal of Global Optimization. 82(2). 413–432. 4 indexed citations
14.
Gao, Yue, Fangyun Wei, Jianmin Bao, et al.. (2021). High-Fidelity and Arbitrary Face Editing. 16110–16119. 57 indexed citations
15.
Yang, Ruiqi, et al.. (2020). A constrained two-stage submodular maximization. Theoretical Computer Science. 853. 57–64. 3 indexed citations
16.
Gu, Shuyang, et al.. (2020). A general method of active friending in different diffusion models in social networks. Social Network Analysis and Mining. 10(1). 3 indexed citations
17.
Fan, Yuqi, et al.. (2020). Data placement in distributed data centers for improved SLA and network cost. Journal of Parallel and Distributed Computing. 146. 189–200. 4 indexed citations
18.
Gu, Shuyang, et al.. (2020). Interaction-aware influence maximization and iterated sandwich method. Theoretical Computer Science. 821. 23–33. 6 indexed citations
19.
Gu, Shuyang, et al.. (2019). Robust Profit Maximization with Double Sandwich Algorithms in Social Networks. 1539–1548. 2 indexed citations
20.
Gu, Shuyang, et al.. (2019). A fast double greedy algorithm for non-monotone DR-submodular function maximization. Discrete Mathematics Algorithms and Applications. 12(1). 2050007–2050007. 4 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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