Baoyuan Wu

7.0k total citations · 3 hit papers
74 papers, 2.9k citations indexed

About

Baoyuan Wu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Baoyuan Wu has authored 74 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Artificial Intelligence, 44 papers in Computer Vision and Pattern Recognition and 12 papers in Signal Processing. Recurrent topics in Baoyuan Wu's work include Adversarial Robustness in Machine Learning (24 papers), Anomaly Detection Techniques and Applications (16 papers) and Face and Expression Recognition (12 papers). Baoyuan Wu is often cited by papers focused on Adversarial Robustness in Machine Learning (24 papers), Anomaly Detection Techniques and Applications (16 papers) and Face and Expression Recognition (12 papers). Baoyuan Wu collaborates with scholars based in China, United States and Hong Kong. Baoyuan Wu's co-authors include Wei Liu, Bernard Ghanem, Wenhan Luo, Qiang Ji, Siwei Lyu, Bao-Gang Hu, Yujiu Yang, Chao Ma, Xin Li and Zhenyu He and has published in prestigious journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Baoyuan Wu

66 papers receiving 2.8k citations

Hit Papers

Target-Aware Deep Tracking 2019 2026 2021 2023 2019 2019 2021 100 200 300
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. Target-Aware Deep Tracking
    2019 334 citations Baoyuan Wu et al. profile →
  2. Learning to Compose Dynamic Tree Structures for Visual Contexts
    2019 332 citations Baoyuan Wu, Wei Liu et al. profile →
  3. TediGAN: Text-Guided Diverse Face Image Generation and Manipulation
    2021 211 citations Yujiu Yang, Baoyuan Wu 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
Baoyuan Wu China 28 2.0k 1.5k 300 168 139 74 2.9k
Lu Jiang United States 28 2.5k 1.2× 1.9k 1.3× 207 0.7× 71 0.4× 118 0.8× 63 3.7k
Xia Li China 27 1.3k 0.6× 653 0.4× 181 0.6× 177 1.1× 88 0.6× 157 2.5k
Alfredo Petrosino Italy 19 1.5k 0.7× 501 0.3× 173 0.6× 106 0.6× 111 0.8× 71 2.0k
Hongyuan Zhu Singapore 27 2.0k 1.0× 1.1k 0.7× 129 0.4× 125 0.7× 73 0.5× 77 2.8k
Shiyu Chang United States 34 2.2k 1.1× 1.9k 1.3× 300 1.0× 52 0.3× 43 0.3× 110 3.8k
Yan Yan China 19 1.1k 0.6× 760 0.5× 232 0.8× 82 0.5× 37 0.3× 88 2.0k
Peng Hu China 26 2.2k 1.1× 1.4k 0.9× 166 0.6× 134 0.8× 22 0.2× 88 3.0k
Xiangbo Shu China 29 2.4k 1.2× 1.1k 0.8× 164 0.5× 95 0.6× 38 0.3× 86 2.9k
Kap Luk Chan Singapore 23 1.1k 0.5× 546 0.4× 200 0.7× 84 0.5× 65 0.5× 91 2.0k

Countries citing papers authored by Baoyuan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Baoyuan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baoyuan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Baoyuan Wu. A scholar is included among the top collaborators of Baoyuan Wu 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 Baoyuan Wu. Baoyuan Wu 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.
Wu, Baoyuan, Mingli Zhu, Mingda Zhang, et al.. (2025). Defenses in Adversarial Machine Learning: A Systematic Survey From the Lifecycle Perspective. IEEE Transactions on Pattern Analysis and Machine Intelligence. 48(1). 876–895.
2.
Jia, Xiaojun, Yong Zhang, Xingxing Wei, et al.. (2024). Improving Fast Adversarial Training With Prior-Guided Knowledge. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(9). 6367–6383. 18 indexed citations
3.
Bai, Jiawang, et al.. (2023). Imperceptible and Robust Backdoor Attack in 3D Point Cloud. IEEE Transactions on Information Forensics and Security. 19. 1267–1282. 19 indexed citations
4.
Fan, Yanbo, Yong Zhang, Yunpeng Bai, et al.. (2023). NOFA: NeRF-based One-shot Facial Avatar Reconstruction. 1–12. 14 indexed citations
5.
Bai, Jiawang, Baoyuan Wu, Zhifeng Li, & Shu‐Tao Xia. (2023). Versatile Weight Attack via Flipping Limited Bits. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(11). 13653–13665. 12 indexed citations
6.
Yan, Zhiyuan, Yong Zhang, Yanbo Fan, & Baoyuan Wu. (2023). UCF: Uncovering Common Features for Generalizable Deepfake Detection. 22355–22366. 57 indexed citations
7.
Jia, Xiaojun, Yong Zhang, Baoyuan Wu, Jue Wang, & Xiaochun Cao. (2022). Boosting Fast Adversarial Training With Learnable Adversarial Initialization. IEEE Transactions on Image Processing. 31. 4417–4430. 40 indexed citations
8.
Ma, Chengcheng, Baoyuan Wu, Yanbo Fan, Yong Zhang, & Zhifeng Li. (2022). Effective and Robust Detection of Adversarial Examples via Benford-Fourier Coefficients. arXiv (Cornell University). 20(5). 666–682. 3 indexed citations
9.
Xu, Yifan, Kekai Sheng, Weiming Dong, et al.. (2022). Towards Corruption-Agnostic Robust Domain Adaptation. ACM Transactions on Multimedia Computing Communications and Applications. 18(4). 1–16. 8 indexed citations
10.
Zheng, Xin, Yanbo Fan, Baoyuan Wu, et al.. (2022). Robust Physical-World Attacks on Face Recognition. Pattern Recognition. 133. 109009–109009. 31 indexed citations
11.
Zhang, Jingyi, et al.. (2021). Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation. 12522–12531. 50 indexed citations
12.
Fan, Yanbo, Baoyuan Wu, Ran He, et al.. (2020). Groupwise Ranking Loss for Multi-Label Learning. IEEE Access. 8. 21717–21727. 5 indexed citations
13.
Wu, Baoyuan, Li Shen, Tong Zhang, & Bernard Ghanem. (2020). MAP Inference Via $$\ell _2$$-Sphere Linear Program Reformulation. International Journal of Computer Vision. 128(7). 1913–1936. 2 indexed citations
14.
Wu, Baoyuan, et al.. (2020). Efficient Black-Box Adversarial Attack Guided by the Distribution of Adversarial Perturbations.. arXiv (Cornell University). 2 indexed citations
15.
Wu, Baoyuan, et al.. (2019). Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning. IEEE Access. 7. 172683–172693. 40 indexed citations
16.
Zhang, Yong, Haiyong Jiang, Baoyuan Wu, Yanbo Fan, & Qiang Ji. (2019). Context-Aware Feature and Label Fusion for Facial Action Unit Intensity Estimation With Partially Labeled Data. 733–742. 17 indexed citations
17.
Wu, Baoyuan & Bernard Ghanem. (2018). p-Box ADMM: A Versatile Framework for Integer Programming. IEEE Transactions on Pattern Analysis and Machine Intelligence. 41(7). 1695–1708. 71 indexed citations
18.
Xu, Shibiao, Xingjia Pan, Er Li, et al.. (2018). Automatic Building Rooftop Extraction From Aerial Images via Hierarchical RGB-D Priors. IEEE Transactions on Geoscience and Remote Sensing. 56(12). 7369–7387. 36 indexed citations
19.
Wu, Baoyuan, et al.. (2018). Multi-label Learning with Missing Labels Using Mixed Dependency Graphs. International Journal of Computer Vision. 126(8). 875–896. 62 indexed citations
20.
Wu, Baoyuan, Yifan Zhang, Bao-Gang Hu, & Qiang Ji. (2013). Constrained Clustering and Its Application to Face Clustering in Videos. 3507–3514. 86 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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