Yawei Luo

2.6k total citations · 1 hit paper
46 papers, 1.5k citations indexed

About

Yawei Luo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Yawei Luo has authored 46 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 9 papers in Aerospace Engineering. Recurrent topics in Yawei Luo's work include Advanced Vision and Imaging (11 papers), Domain Adaptation and Few-Shot Learning (11 papers) and Multimodal Machine Learning Applications (10 papers). Yawei Luo is often cited by papers focused on Advanced Vision and Imaging (11 papers), Domain Adaptation and Few-Shot Learning (11 papers) and Multimodal Machine Learning Applications (10 papers). Yawei Luo collaborates with scholars based in China, Australia and United States. Yawei Luo's co-authors include Tao Guan, Yi Yang, Junqing Yu, Liang Zheng, Keyang Luo, Lili Ju, Mingliang Xu, Ping Liu, Hehe Fan and Linchao Zhu and has published in prestigious journals such as Applied Physics Letters, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Yawei Luo

43 papers receiving 1.5k citations

Hit Papers

Taking a Closer Look at Domain Shift: Category-Level Adve... 2019 2026 2021 2023 2019 100 200 300 400 500
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. Taking a Closer Look at Domain Shift: Category-Level Adversaries for Semantics Consistent Domain Adaptation
    2019 541 citations Yawei Luo, Tao Guan et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yawei Luo China 18 1.1k 742 216 143 142 46 1.5k
Tao Guan China 20 1.3k 1.2× 671 0.9× 190 0.9× 179 1.3× 173 1.2× 58 1.7k
Zhuotao Tian Hong Kong 15 910 0.8× 568 0.8× 118 0.5× 232 1.6× 82 0.6× 23 1.3k
Henghui Ding Singapore 29 1.8k 1.6× 922 1.2× 127 0.6× 147 1.0× 56 0.4× 78 2.3k
Dayan Guan Singapore 18 859 0.8× 518 0.7× 110 0.5× 221 1.5× 97 0.7× 26 1.3k
Aoran Xiao Singapore 18 649 0.6× 484 0.7× 110 0.5× 91 0.6× 118 0.8× 29 1.1k
Yanchao Yang China 13 822 0.7× 470 0.6× 190 0.9× 158 1.1× 29 0.2× 55 1.2k
Mircea Cimpoi United Kingdom 5 1.5k 1.3× 776 1.0× 107 0.5× 214 1.5× 33 0.2× 6 2.0k
Jun Hao Liew Singapore 9 799 0.7× 431 0.6× 137 0.6× 136 1.0× 24 0.2× 12 1.1k
David Eigen United States 6 2.0k 1.7× 451 0.6× 113 0.5× 665 4.7× 79 0.6× 9 2.3k
Andrew Tao United States 6 2.3k 2.0× 436 0.6× 154 0.7× 241 1.7× 49 0.3× 11 2.8k

Countries citing papers authored by Yawei Luo

Since Specialization
Citations

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

Fields of papers citing papers by Yawei Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yawei Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Yawei Luo. A scholar is included among the top collaborators of Yawei Luo 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 Yawei Luo. Yawei Luo 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.
Zhang, Chao, et al.. (2025). EduPlanner: LLM-Based Multiagent Systems for Customized and Intelligent Instructional Design. IEEE Transactions on Learning Technologies. 18. 416–427. 4 indexed citations
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Luo, Yawei, et al.. (2024). Knowledge-Guided Causal Intervention for Weakly-Supervised Object Localization. IEEE Transactions on Knowledge and Data Engineering. 36(11). 6477–6489. 3 indexed citations
5.
Quan, Ruijie, et al.. (2024). ExpAvatar: High-Fidelity Avatar Generation of Unseen Expressions with 3D Face Priors. ACM Transactions on Multimedia Computing Communications and Applications. 21(11). 1–21.
6.
Luo, Yawei & Yi Yang. (2024). Large language model and domain-specific model collaboration for smart education. Frontiers of Information Technology & Electronic Engineering. 25(3). 333–341. 13 indexed citations
7.
Liu, Sannyuya, et al.. (2024). Balancing Humans and Machines: A Study on Integration Scale and Its Impact on Collaborative Performance. Proceedings of the AAAI Conference on Artificial Intelligence. 38(16). 17628–17636. 1 indexed citations
8.
Luo, Yawei, et al.. (2024). Entangled View-Epipolar Information Aggregation for Generalizable Neural Radiance Fields. 4906–4916. 1 indexed citations
9.
Luo, Yawei, et al.. (2023). Taking a Closer Look At Visual Relation: Unbiased Video Scene Graph Generation With Decoupled Label Learning. IEEE Transactions on Multimedia. 26. 5718–5728. 7 indexed citations
10.
Luo, Yawei, et al.. (2023). Dark Knowledge Balance Learning for Unbiased Scene Graph Generation. 4838–4847. 4 indexed citations
11.
Sun, Jianwen, et al.. (2023). Adversarial Bootstrapped Question Representation Learning for Knowledge Tracing. 8016–8025. 9 indexed citations
12.
Wang, Wenguan, et al.. (2023). Local-Global Context Aware Transformer for Language-Guided Video Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(8). 10055–10069. 65 indexed citations
13.
Luo, Yawei, et al.. (2023). Personas-based Student Grouping using reinforcement learning and linear programming. Knowledge-Based Systems. 281. 111071–111071. 7 indexed citations
14.
Luo, Yawei, et al.. (2022). Active Learning for Point Cloud Semantic Segmentation via Spatial-Structural Diversity Reasoning. Proceedings of the 30th ACM International Conference on Multimedia. 2575–2585. 23 indexed citations
15.
Zhu, Linchao, Hehe Fan, Yawei Luo, Mingliang Xu, & Yi Yang. (2021). Temporal Cross-Layer Correlation Mining for Action Recognition. IEEE Transactions on Multimedia. 24. 668–676. 73 indexed citations
16.
Guan, Qingji, Yaping Huang, Yawei Luo, et al.. (2021). Discriminative Feature Learning for Thorax Disease Classification in Chest X-ray Images. IEEE Transactions on Image Processing. 30. 2476–2487. 38 indexed citations
17.
Zhu, Linchao, Hehe Fan, Yawei Luo, Mingliang Xu, & Yi Yang. (2021). Few-Shot Common-Object Reasoning Using Common-Centric Localization Network. IEEE Transactions on Image Processing. 30. 4253–4262. 17 indexed citations
18.
Chen, Zhuo, et al.. (2021). PC-Net: A Deep Network for 3D Point Clouds Analysis. 36. 465–472. 1 indexed citations
19.
Luo, Yawei, Ping Liu, Tao Guan, Junqing Yu, & Yi Yang. (2020). Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation. arXiv (Cornell University). 33. 20612–20623. 8 indexed citations
20.
Guan, Tao, et al.. (2013). Wide area registration on camera phones for mobile augmented reality applications. Sensor Review. 33(3). 209–219. 1 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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