Yawen Cui

484 total citations · 1 hit paper
18 papers, 261 citations indexed

About

Yawen Cui is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Yawen Cui has authored 18 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 4 papers in Signal Processing. Recurrent topics in Yawen Cui's work include Domain Adaptation and Few-Shot Learning (8 papers), Multimodal Machine Learning Applications (6 papers) and Biometric Identification and Security (3 papers). Yawen Cui is often cited by papers focused on Domain Adaptation and Few-Shot Learning (8 papers), Multimodal Machine Learning Applications (6 papers) and Biometric Identification and Security (3 papers). Yawen Cui collaborates with scholars based in China, Finland and Hong Kong. Yawen Cui's co-authors include Zitong Yu, Li Liu, Xubin Zheng, Xinyu Xie, Tao Tan, Jiehua Zhang, Yuming Shen, Philip H. S. Torr, Hengshuang Zhao and Guoying Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Pattern Recognition.

In The Last Decade

Yawen Cui

14 papers receiving 257 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.

FusionMamba: dynamic feature enhancement for multimodal image fusion with Mamba

2024 61 citations Xinyu Xie, Yawen Cui et al. SHILAP Revista de lepidopterología profile →

Peers

Yawen Cui

CVPR

AI

BE

MT

CCM

Weiming Li China

Waldir R. De Almeida Brazil

Kaïs Ouni Tunisia

Toshanlal Meenpal India

Jerod Weinman United States

I. Defée Finland

Huafeng Wang China

Rolf Bippus Germany

Weiming Li China

Yawen Cui

65 ×0.7

CVPR

30 ×0.4

AI

36 ×0.6

BE

27 ×0.5

MT

21 ×0.5

CCM

Citations per year, relative to Yawen Cui Yawen Cui (= 1×) peers Weiming Li

Countries citing papers authored by Yawen Cui

Since Specialization

Citations

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

Fields of papers citing papers by Yawen Cui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yawen Cui

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

18 of 18 papers shown

1.

Yu, Zitong, Rui Shao, Yawen Cui, et al.. (2025). CAT+: Investigating and Enhancing Audio-Visual Understanding in Large Language Models. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(10). 8674–8690.

2.

Cui, Yawen, Jian Zhao, Zitong Yu, et al.. (2025). CMoA: Contrastive Mixture of Adapters for Generalized Few-Shot Continual Learning. IEEE Transactions on Multimedia. 27. 5533–5547.

3.

Cai, Rizhao, Yawen Cui, Zitong Yu, et al.. (2025). Rehearsal-Free and Efficient Continual Learning for Cross-Domain Face Anti-Spoofing. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(12). 11348–11365.

4.

Zhang, Yi, Yi Wang, Yawen Cui, & Lap‐Pui Chau. (2025). 3DGeoDet: General-Purpose Geometry-Aware Image-Based 3D Object Detection. IEEE Transactions on Multimedia. 1–12.

5.

Yu, Zitong, Rizhao Cai, Yawen Cui, Ajian Liu, & Changsheng Chen. (2024). Visual Prompt Flexible-Modal Face Anti-Spoofing. IEEE Transactions on Dependable and Secure Computing. 22(3). 2597–2606. 4 indexed citations

6.

Xie, Xinyu, Yawen Cui, Tao Tan, Xubin Zheng, & Zitong Yu. (2024). FusionMamba: dynamic feature enhancement for multimodal image fusion with Mamba. SHILAP Revista de lepidopterología. 2(1). 61 indexed citations breakdown →

7.

Cui, Yawen, Zitong Yu, Wei Peng, Qi Tian, & Li Liu. (2023). Rethinking Few-Shot Class-Incremental Learning With Open-Set Hypothesis in Hyperbolic Geometry. IEEE Transactions on Multimedia. 26. 5897–5910. 10 indexed citations

8.

Cui, Yawen, et al.. (2023). Uncertainty-Aware Distillation for Semi-Supervised Few-Shot Class-Incremental Learning. IEEE Transactions on Neural Networks and Learning Systems. 35(10). 14259–14272. 21 indexed citations

9.

Yu, Zitong, Yuming Shen, Jingang Shi, et al.. (2023). PhysFormer++: Facial Video-Based Physiological Measurement with SlowFast Temporal Difference Transformer. International Journal of Computer Vision. 131(6). 1307–1330. 74 indexed citations

10.

Cai, Rizhao, Yawen Cui, Zhi Li, et al.. (2023). Rehearsal-Free Domain Continual Face Anti-Spoofing: Generalize More and Forget Less. 8003–8014. 16 indexed citations

11.

Xu, Jiacong, Yi Zhang, Jiawei Peng, et al.. (2023). Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape. 9065–9075. 7 indexed citations

12.

Cui, Yawen, Xin Xu, Zhen Liu, et al.. (2022). Uncertainty-Guided Semi-Supervised Few-Shot Class-Incremental Learning With Knowledge Distillation. IEEE Transactions on Multimedia. 25. 6422–6435. 22 indexed citations

13.

Cui, Yawen, Qing Liao, Dewen Hu, Wei An, & Li Liu. (2021). Coarse-to-fine pseudo supervision guided meta-task optimization for few-shot object classification. Pattern Recognition. 122. 108296–108296. 10 indexed citations

14.

Cui, Yawen, Zhen Liu, Gangyao Kuang, et al.. (2021). Informative Class-Conditioned Feature Alignment for Unsupervised Domain Adaptation. University of Oulu Repository (University of Oulu). 1303–1312. 12 indexed citations

15.

Cui, Yawen, et al.. (2021). Semi-Supervised Few-Shot Class-Incremental Learning. University of Oulu Repository (University of Oulu). 1239–1243. 7 indexed citations

16.

Cui, Yawen, et al.. (2018). A research on metric learning in computer vision and pattern recognition. 290. 254–259. 2 indexed citations

17.

Cui, Yawen, et al.. (2018). Deep CNN-based Visual Target Tracking System Relying on Monocular Image Sensing. 1–8. 7 indexed citations

18.

Cui, Yawen, Wenjing Yang, Zhiyuan Wang, et al.. (2017). End-to-End Visual Target Tracking in Multi-robot Systems Based on Deep Convolutional Neural Network. 8 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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