Ruihuang Li

1.2k total citations · 1 hit paper
16 papers, 777 citations indexed

About

Ruihuang Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Ruihuang Li has authored 16 papers receiving a total of 777 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 4 papers in Computational Mechanics. Recurrent topics in Ruihuang Li's work include Advanced Neural Network Applications (7 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Ruihuang Li is often cited by papers focused on Advanced Neural Network Applications (7 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Ruihuang Li collaborates with scholars based in Hong Kong, China and United Kingdom. Ruihuang Li's co-authors include Chenhang He, Shuai Li, Lei Zhang, Qinghua Hu, Lei Zhang, Changqing Zhang, Yabin Zhang, Minghan Li, Kui Jia and Zheng Wang and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Neural Networks and Learning Systems and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Ruihuang Li

15 papers receiving 770 citations

Hit Papers

Voxel Set Transformer: A Set-to-Set Approach to 3D Object... 2022 2026 2023 2024 2022 40 80 120
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.

  1. Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection from Point Clouds
    2022 140 citations Chenhang He, Ruihuang Li et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruihuang Li Hong Kong 12 613 307 96 79 70 16 777
Pan Ji China 15 783 1.3× 230 0.7× 218 2.3× 124 1.6× 56 0.8× 37 915
Yunyang Xiong United States 8 249 0.4× 128 0.4× 40 0.4× 45 0.6× 48 0.7× 16 479
Jiachen Li China 11 500 0.8× 179 0.6× 112 1.2× 76 1.0× 15 0.2× 21 694
Jiayuan Fan China 19 477 0.8× 276 0.9× 303 3.2× 33 0.4× 46 0.7× 66 847
Alexander Vezhnevets Switzerland 8 739 1.2× 285 0.9× 100 1.0× 69 0.9× 37 0.5× 12 886
Jihan Yang Hong Kong 9 529 0.9× 491 1.6× 35 0.4× 68 0.9× 52 0.7× 13 747
Zhijiang Zhang China 9 510 0.8× 238 0.8× 86 0.9× 27 0.3× 44 0.6× 24 721
Zhiwu Lu China 15 626 1.0× 358 1.2× 44 0.5× 193 2.4× 23 0.3× 30 839
Changmao Cheng China 5 609 1.0× 266 0.9× 39 0.4× 67 0.8× 40 0.6× 6 833

Countries citing papers authored by Ruihuang Li

Since Specialization
Citations

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

Fields of papers citing papers by Ruihuang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruihuang Li

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

All Works

16 of 16 papers shown
1.
Li, Ruihuang, Liyi Chen, Zhengqiang Zhang, et al.. (2025). SyncNoise: Geometrically Consistent Noise Prediction for Instruction-based 3D Editing. Proceedings of the AAAI Conference on Artificial Intelligence. 39(5). 4905–4913.
2.
Zhang, Yabin, Jiehong Lin, Ruihuang Li, Kui Jia, & Lei Zhang. (2025). Point-DAE: Denoising Autoencoders for Self-Supervised Point Cloud Learning. IEEE Transactions on Neural Networks and Learning Systems. 36(9). 16279–16293. 1 indexed citations
3.
Li, Ruihuang, et al.. (2024). TMP: Temporal Motion Propagation for Online Video Super-Resolution. IEEE Transactions on Image Processing. 33. 5014–5028. 2 indexed citations
4.
Li, Ruihuang, Chenhang He, Yabin Zhang, et al.. (2023). SIM: Semantic-aware Instance Mask Generation for Box-Supervised Instance Segmentation. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 7193–7203. 9 indexed citations
5.
He, Chenhang, Ruihuang Li, Yabin Zhang, Shuai Li, & Lei Zhang. (2023). MSF: Motion-guided Sequential Fusion for Efficient 3D Object Detection from Point Cloud Sequences. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 5196–5205. 11 indexed citations
6.
Li, Shuai, Minghan Li, Ruihuang Li, Chenhang He, & Lei Zhang. (2023). One-to-Few Label Assignment for End-to-End Dense Detection. 7350–7359. 18 indexed citations
7.
Li, Ruihuang, Chenhang He, Shuai Li, Yabin Zhang, & Lei Zhang. (2023). DynaMask: Dynamic Mask Selection for Instance Segmentation. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 11279–11288. 17 indexed citations
8.
Chen, Liyi, Chenyang Lei, Ruihuang Li, et al.. (2023). FPR: False Positive Rectification for Weakly Supervised Semantic Segmentation. 1108–1118. 22 indexed citations
9.
Li, Shuai, Chenhang He, Ruihuang Li, & Lei Zhang. (2022). A Dual Weighting Label Assignment Scheme for Object Detection. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 9377–9386. 85 indexed citations
10.
Li, Ruihuang, Shuai Li, Chenhang He, et al.. (2022). Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic Segmentation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 11583–11593. 72 indexed citations
11.
He, Chenhang, Ruihuang Li, Shuai Li, & Lei Zhang. (2022). Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection from Point Clouds. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 8407–8417. 140 indexed citations breakdown →
12.
Isobe, Takashi, Xu Jia, Xin Tao, et al.. (2022). Look Back and Forth: Video Super-Resolution with Explicit Temporal Difference Modeling. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 17390–17399. 35 indexed citations
13.
Zhang, Yabin, Minghan Li, Ruihuang Li, Kui Jia, & Lei Zhang. (2022). Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 8025–8035. 124 indexed citations
14.
Li, Ruihuang, et al.. (2021). T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain Adaptation. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 9971–9980. 30 indexed citations
15.
Li, Ruihuang, Changqing Zhang, Huazhu Fu, et al.. (2019). Reciprocal Multi-Layer Subspace Learning for Multi-View Clustering. 8171–8179. 106 indexed citations
16.
Li, Ruihuang, Changqing Zhang, Qinghua Hu, Pengfei Zhu, & Zheng Wang. (2019). Flexible Multi-View Representation Learning for Subspace Clustering. 2916–2922. 105 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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