Zhekai Du

802 total citations · 1 hit paper
25 papers, 515 citations indexed

About

Zhekai Du is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Zhekai Du has authored 25 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 4 papers in Computer Networks and Communications. Recurrent topics in Zhekai Du's work include Domain Adaptation and Few-Shot Learning (16 papers), Multimodal Machine Learning Applications (9 papers) and Biometric Identification and Security (3 papers). Zhekai Du is often cited by papers focused on Domain Adaptation and Few-Shot Learning (16 papers), Multimodal Machine Learning Applications (9 papers) and Biometric Identification and Security (3 papers). Zhekai Du collaborates with scholars based in China, Australia and United States. Zhekai Du's co-authors include Jingjing Li, Lei Zhu, Ke Lü, Heng Tao Shen, Hongzu Su, Lin Zuo, Zhengming Ding, Yu Liu, Lei Zhu and Mengmeng Jing and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Neural Networks and Knowledge-Based Systems.

In The Last Decade

Zhekai Du

23 papers receiving 509 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.

A Comprehensive Survey on Source-Free Domain Adaptation

2024 80 citations Jingjing Li, Zhekai Du et al. profile →

Peers

Zhekai Du

AI

CVPR

EEE

AE

RNMI

François Rameau South Korea

Zhichao Song China

Zhiheng Zhou China

Yun Zheng China

Spyros Gidaris France

Sheng Jin China

Horst Possegger Austria

Niluthpol Chowdhury Mithun United States

François Rameau South Korea

Zhekai Du

245 ×0.8

AI

555 ×2.3

CVPR

56 ×0.8

EEE

40 ×0.6

AE

77 ×1.4

RNMI

Citations per year, relative to Zhekai Du Zhekai Du (= 1×) peers François Rameau

Countries citing papers authored by Zhekai Du

Since Specialization

Citations

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

Fields of papers citing papers by Zhekai Du

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhekai Du

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

20 of 20 papers shown

1.

Du, Zhekai, et al.. (2024). Fourier-Based Frequency Space Disentanglement and Augmentation for Generalizable Face Anti-Spoofing. IEEE Journal of Biomedical and Health Informatics. 29(8). 5413–5423. 1 indexed citations

2.

Li, Jingjing, Lei Zhu, & Zhekai Du. (2024). Unsupervised Domain Adaptation. 3 indexed citations

3.

Du, Zhekai, et al.. (2024). Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation. 23375–23384. 9 indexed citations

4.

Du, Zhekai, et al.. (2024). Split to Merge: Unifying Separated Modalities for Unsupervised Domain Adaptation. 23364–23374. 3 indexed citations

5.

Du, Zhekai, et al.. (2024). Domain-Adaptive Energy-Based Models for Generalizable Face Anti-Spoofing. IEEE Transactions on Multimedia. 26. 10474–10488.

6.

Xiao, Zhe, et al.. (2023). Alleviating the generalization issue in adversarial domain adaptation networks. Image and Vision Computing. 135. 104695–104695. 5 indexed citations

7.

Du, Zhekai, et al.. (2023). Adaptive online continual multi-view learning. Information Fusion. 103. 102020–102020. 2 indexed citations

8.

Du, Zhekai, et al.. (2023). Online continual learning with declarative memory. Neural Networks. 163. 146–155. 6 indexed citations

9.

Su, Hongzu, et al.. (2023). Cross-Domain Adaptative Learning for Online Advertisement Customer Lifetime Value Prediction. Proceedings of the AAAI Conference on Artificial Intelligence. 37(4). 4605–4613. 6 indexed citations

10.

Li, Jingjing, et al.. (2023). Noise-Robust Continual Test-Time Domain Adaptation. 2654–2662. 5 indexed citations

11.

Du, Zhekai, et al.. (2022). Online Continual Learning with Declarative Memory. SSRN Electronic Journal. 1 indexed citations

12.

Zhao, Jidong, et al.. (2022). ACUTE: Attentional Communication Framework for Multi-Agent Reinforcement Learning in Partially Communicable Scenarios. Electronics. 11(24). 4204–4204. 1 indexed citations

13.

Lü, Ke, Zhekai Du, Jingjing Li, & Geyong Min. (2022). Resource-Efficient Distributed Deep Neural Networks Empowered by Intelligent Software-Defined Networking. IEEE Transactions on Network and Service Management. 19(4). 4069–4081. 4 indexed citations

14.

Du, Zhekai, Jingjing Li, Lin Zuo, Lei Zhu, & Ke Lü. (2022). Energy-Based Domain Generalization for Face Anti-Spoofing. Proceedings of the 30th ACM International Conference on Multimedia. 1749–1757. 17 indexed citations

15.

Du, Zhekai, Jingjing Li, Lei Zhu, Ke Lü, & Heng Tao Shen. (2021). Adversarial Energy Disaggregation. 2(4). 1–16. 4 indexed citations

16.

Zhang, Dan, et al.. (2021). Local–Global Attentive Adaptation for Object Detection. Engineering Applications of Artificial Intelligence. 100. 104208–104208. 19 indexed citations

17.

Du, Zhekai, Lin Zuo, Jingjing Li, Yu Liu, & Heng Tao Shen. (2021). Data-Driven Estimation of Remaining Useful Lifetime and State of Charge for Lithium-Ion Battery. IEEE Transactions on Transportation Electrification. 8(1). 356–367. 66 indexed citations

18.

Du, Zhekai, Jingjing Li, Hongzu Su, Lei Zhu, & Ke Lü. (2021). Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation. 3936–3945. 136 indexed citations

19.

Du, Zhekai, et al.. (2019). Joint metric and feature representation learning for unsupervised domain adaptation. Knowledge-Based Systems. 192. 105222–105222. 23 indexed citations

20.

Du, Zhekai, et al.. (2018). Modeling and Simulation of Avionics Full Duplex Switched Ethernet(AFDX Network) Based on OPNET. 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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