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Wenrui Zhu

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

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2026
[j5]
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  - journals/ieicetd/ZhuYWS26
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  - https://dblp.org/rec/journals/ieicetd/ZhuYWS26
Wenrui Zhu, Junqi Yu, Tongtong Weng, Zhengwei Song:
Domain Knowledge Graph Embedding for Zero-Shot Human-Object Interaction Detection. IEICE Trans. Inf. Syst. 109(4): 570-573 (2026)
[j4]
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  - journals/jsa/ZhangZLKX26
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Shiwen Zhang, Wenrui Zhu, Wei Liang, Arthur Sandor Voundi Koe, Neal N. Xiong:
VM-PHRs: Efficient and verifiable multi-delegated PHRs search scheme for cloud-edge collaborative services. J. Syst. Archit. 172: 103689 (2026)
2025
[j3]
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  - journals/ijon/ZhuSY25
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Wenrui Zhu, Donghui Shi, Junqi Yu:
A dual-stream GCN-based action recognition framework using trustworthy fusion decision from different skeleton descriptors. Neurocomputing 656: 131475 (2025)
[j2]
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  - journals/taffco/LiuLZYYXW25
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Ke Liu, Xin Luo, Wenrui Zhu, Zhu Liang Yu, Hong Yu, Bin Xiao, Wei Wu:
Enhancing EEG-Based Cross-Subject Emotion Recognition via Adaptive Source Joint Domain Adaptation. IEEE Trans. Affect. Comput. 16(3): 1419-1430 (2025)
2024
[j1]
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  - journals/sivp/ZhuSCHHW24
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Wenrui Zhu, Donghui Shi, Rui Cheng, Ruifeng Huang, Tao Hu, Junyi Wang:
Human risky behaviour recognition during ladder climbing based on multi-modal feature fusion and adaptive graph convolutional network. Signal Image Video Process. 18(3): 2473-2483 (2024)
[c2]
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  - conf/ijcnn/ZhuSHW24
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Wenrui Zhu, Donghui Shi, Tao Hu, Bo Wu:
SlowFast Adaptive Graph Convolutional Network with Multi-Modal Feature Aggregation for Skeleton-Based Action Recognition: Case Study of Human Ladder Climbing. IJCNN 2024: 1-8
[c1]
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  - conf/prcv/ZhuLLW24
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Wenrui Zhu, Qiankun Li, Debin Liu, Zengfu Wang:
DeepSweep: Real-Time Multi-View 3D Pose Estimation Via Cross-View Deep Matching and Plane Sweeping. PRCV (11) 2024: 518-532

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Schloss Dagstuhl - Leibniz Center for Informatics is a member of the Leibniz Association and is funded by the federal government of Germany and the states of Germany, especially Saarland and Rhineland‑Palatinate.