RESEARCH INTEREST

• Hashing encoding with machine learning, deep learning, etc.;
• The research on new AI structures such as Transformer, CLIP, SpikingNeuralNetwork, etc;
• The application of deep learning in detection and instance segmentation;
• Use AI methods for solving the performance bottleneck in the areas of database, hash index, etc.

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PUBLICATIONS (Sorted by time)

ACCEPTED (partial)

1. Rukai Wei, Yu Liu, Jingkuan Song, Yanzhao Xie, Ke Zhou: Exploring Hierarchical Information in Hyperbolic Space for Self-Supervised Image Hashing. IEEE Trans. Image Process., 2024, 33: 1768-1781.
2. Rukai Wei, Yu Liu, Jingkuan Song, Heng Cui, Yanzhao Xie, Ke Zhou:
   CHAIN: Exploring Global-Local Spatio-Temporal Information for Improved Self-Supervised Video Hashing. ACM Multimedia, 2023: 1677-1688.
3. Junwei Cheng, Yanzhao Xie, Yu Liu, Junjie Song, Xinyu Liu, Zhenming He, Wenkai Zhang, Xinjie Han, Hailong Zhou, Ke Zhou, Heng Zhou, Jianji Dong and Xinliang Zhang:
   Human emotion recognition with a microcomb-enabled integrated optical neural network. Nanophotonics (2023).
4. Yanzhao Xie, Rukai Wei, Jingkuan Song, Yu Liu, Yangtao Wang, Ke Zhou:
   Label-affinity Self-adaptive Central Similarity Hashing for Image Retrieval. IEEE Transactions on Multimedia (2023).
5. Rukai Wei, Yu Liu, Jingkuan Song, Yanzhao Xie, Ke Zhou:
   Deep Debiased Contrastive Hashing.Pattern Recognition (2023).
6. Yu Liu, Yanzhao Xie, Jingkuan Song, Rukai Wei, Ke Zhou:
   Self-Supervised Label-Visual Correlation Hashing for Multi-Label Image Retrieval. APWeb/WAIM (2) 2022: 129-143.
7. Yangtao Wang, Yanzhao Xie, Jiangfeng Zeng, Hanpin Wang, Lisheng Fan, Yufan Song:
   Cross-modal fusion for multi-label image classification with attention mechanism. Comput. Electr. Eng. 101: 108002 (2022).
8. Rukai Wei, Yu Liu, Jingkuan Song, Yanzhao Xie, Ke Zhou:
   Hyperbolic Hierarchical Contrastive Hashing. CoRR abs/2212.08904 (2022).
9. Yangtao Wang, Yanzhao Xie, Yu Liu, Lisheng Fan:
   G-CAM: Graph Convolution Network Based Class Activation Mapping for Multi-label Image Recognition. ICMR 2021: 322-330.
10. Yu Liu, Yangtao Wang, Lianli Gao, Chan Guo, Yanzhao Xie, Zhili Xiao:
    Deep Hash-based Relevance-aware Data Quality Assessment for Image Dark Data. Trans. Data Sci. 2(2): 11:1-11:26 (2021).
11. Yanzhao Xie, Yu Liu, Yangtao Wang, Lianli Gao, Peng Wang, Ke Zhou:
    Label-Attended Hashing for Multi-Label Image Retrieval. IJCAI 2020: 955-962.
12. Yangtao Wang, Yanzhao Xie, Yu Liu, Ke Zhou, Xiaocui Li:
    Fast Graph Convolution Network Based Multi-label Image Recognition via Cross-modal Fusion.CIKM 2020: 1575-1584.
13. Yan-tian Zhang, Haoxiang Wang, Yanzhao Xie:
    An intelligent hybrid model for power flow optimization in the cloud-IOT electrical distribution network. Clust. Comput. 22(6): 13109-13118 (2019).

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EDUCATION INFO

• Sep 2019 - Mar 2023. Ph.D. (supervised by Prof. Ke Zhou) in Wuhan National Laboratory for Optoelectronics (WNLO), Huazhong University of Science and Technology (HUST).
• Sep 2016 - Mar 2019. Master, Dept. of Software Engineering, Huazhong University of Science and Technology (HUST).
• Sep 2009 - Jun 2013. Bachelor’s degree, Dept. of Automation, North China Electric Power University (NCEPU).

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CONTACT ME

• ADDRESS: Room 608, Electronic Information Lab Building, Guangzhou University, 230 Wai Huan Xi Road, Guangzhou Higher Education Mega Center, Guangzhou, China
• EMAIL: yzhX@gzhu.edu.cn
• OTHERs: ORCID(0000-0002-9274-2807)