Yongxin Wang

Yongxin Wang

Hi, welcome to my webpage!

Personal Info

I’m Yongxin Wang (王永欣). I am currently an associate professor with the School of Computer and Artificial Intelligence, Shandong Jianzhu University. I received the Ph.D. degree from School of Computer Science and Technology, Shandong University, advised by Prof. Xin-Shun Xu. My research interests include hashing, multimedia analysis, information retrieval, machine learning, and computer vision.

Research Interests

  1. Hashing
  2. Multimedia Analysis
  3. Machine Learning

Education

  • Ph.D. in School of Computer Science and Technology, Shandong University, 2017.09-2021.06
  • M.S. in School of Information Science and Engineering, Shandong Normal University, 2014.09-2017.06
  • B.S. in School of Information Science and Engineering, Shandong Normal University, 2010.09-2014.06

Professional Experience

  • Associate professor, Shandong Jianzhu University, since 2021

Selected Publications

  1. Yongxin Wang, Zhen-Duo Chen, Xin Luo, and Xin-Shun Xu, “BITS: Bit-extendable incremental hashing in open environments,” IEEE Trans. on Image Processing, 2025. [pdf] [code]
  2. Li-Jun Zhao, Zhen-Duo Chen, Yongxin Wang, Xin Luo, and Xin-Shun Xu, “Evolving and regularizing meta-environment learner for fine-grained few-shot class-incremental learning,” in Proc. Neural Inf. Process. Syst. (NeurIPS), 2025.
  3. Enyan Li, Lu Yang, Kuikui Wang, Yongxin Wang, Yilong Yin, “Vein pattern based partial finger vein alignment and recognition,” IEEE Trans. on Biometrics, Behavior, and Identity Science, 2025. [pdf]
  4. Junjie Peng, Chong-Yu Zhang, Na Wang, Yu-Wei Zhan, Zhen-Duo Chen, Yongxin Wang, and Xin-Shun Xu, “OH-CMH: Towards cross-modal hashing for streaming data with hierarchical labels and label incremental scenario,” Knowledge-Based Systems, vol. 324, pp. 113796, 2025. [pdf] [code]
  5. Li-Jun Zhao, Zhen-Duo Chen, Yongxin Wang, Xin Luo, and Xin-Shun Xu, “Attraction diminishing and distributing for few-shot class-incremental learning,” in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR), 2025, pp. 25657-25666. [pdf]
  6. Yongxin Wang, Feng Dong, Zhen-Duo Chen, Xin Luo, and Xin-Shun Xu, “Domain-aware semantic alignment hashing for large-scale zero-shot image retrieval,” ACM Trans. on Multimedia Computing Communications and Applications, vol. 21, no, 6, pp. 171:1-171:20, 2025. [pdf] [code]
  7. Na Wang, Yu-Wei Zhan, Zhen-Duo Chen, Yongxin Wang, Xin Luo, and Xin-Shun Xu, “Tag-aware weakly-supervised online hashing with enhanced joint representation,” in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP), 2025, pp. 1-5. [pdf]
  8. Ting Fu, Yu-Wei Zhan, Chong-Yu Zhang, Xin Luo, Zhen-Duo Chen, Yongxin Wang, Xun Yang, and Xin-Shun Xu, “FedCAFE: Federated cross-modal hashing with adaptive feature enhancement,” in Proc. ACM Multimedia Conf. (ACM MM), 2024, pp. 9670-9679. [pdf] [code]
  9. Yu-Wei Zhan, Xin Luo, Zhen-Duo Chen, Yongxin Wang, Yinwei Wei, and Xin-Shun Xu, “POLISH: Adaptive online cross-modal hashing for class incremental data,” in Proc. Web Conf. (WWW), 2024, pp. 4470-4478. [pdf]
  10. Yongxin Wang, Feng Dong, Kuikui Wang, Xiushan Nie, and Zhen-Duo Chen, “Weighted cross-modal hashing with label enhancement,” Knowledge-Based Systems, vol. 293, pp. 111657, 2024. [pdf]
  11. Zi-Chao Zhang, Zhen-Duo Chen, Yongxin Wang, Xin Luo, and Xin-Shun Xu, “A vision transformer for fine-grained classification by reducing noise and enhancing discriminative information,” Pattern Recognition, vol. 145, pp. 109979, 2024. [pdf] [code]
  12. Yongxin Wang, Yu-Wei Zhan, Zhen-Duo Chen, Xin Luo, and Xin-Shun Xu, “Multiple information embedded hashing for large-scale cross-modal retrieval,” IEEE Trans. on Circuits and Systems for Video Technology, vol. 34, no, 6, pp. 5118-5131, 2024. [pdf] [code]
  13. Chong-Yu Zhang, Xin Luo, Yu-Wei Zhan, Peng-Fei Zhang, Zhen-Duo Chen, Yongxin Wang, Xun Yang, and Xin-Shun Xu, “Self-distillation dual-memory online hashing with hash centers for streaming data retrieval,” in Proc. ACM Multimedia Conf. (ACM MM), 2023, pp. 6340-6349. [pdf] [code]
  14. Jiale Liu, Yu-Wei Zhan, Xin Luo, Zhen-Duo Chen, Yongxin Wang, and Xin-Shun Xu, “Prototype-based layered federated cross-modal hashing,” in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP), 2023, pp. 1-2. [pdf].
  15. Yongxin Wang, Jie-Ru Tian, Zhen-Duo Chen, Xin Luo, and Xin-Shun Xu, “Label enhancement discrete cross-modal hashing method (In Chinese),” Journal of Software, vol. 34, no. 7, pp. 3438-3450, 2023. [pdf]
  16. Yongxin Wang, Zhen-Duo Chen, Xin Luo, and Xin-Shun Xu, “A high-dimensional sparse hashing framework for cross-modal retrieval,” IEEE Trans. on Circuits and Systems for Video Technology, vol. 32, no. 12, pp. 8822-8836, 2022. [pdf] [code]
  17. Jie-Ru Tian, Yongxin Wang, Zhen-Duo Chen, Xin Luo, and Xin-Shun Xu, “Diagnose like doctors: Weakly-supervised fine-grained classification of breast cancer,” ACM Trans. on Intelligent Systems and Technology, vol. 14, no. 2, pp. 1-17, 2022. [pdf]
  18. Zhen-Duo Chen, Xin Luo, Yongxin Wang, Shanqing Guo, and Xin-Shun Xu, “Fine-grained hashing with double filtering,” IEEE Trans. on Image Processing, vol. 31, pp. 1671-1683, 2022. [pdf] [code]
  19. Yongxin Wang, Zhen-Duo Chen, Xin Luo, Rui Li, and Xin-Shun Xu, “Fast cross-modal hashing with global and local similarity embedding,” IEEE Trans. on Cybernetics, vol. 52, no. 10, pp. 10064-10077, 2022. [pdf] [code]
  20. Yongxin Wang, Xin Luo, Liqiang Nie, Jingkuan Song, Wei Zhang, and Xin-Shun Xu, “BATCH: A scalable asymmetric discrete cross-modal hashing,” IEEE Trans. on Knowledge and Data Engineering, vol. 33, no. 11, pp. 3507-3519, 2021. [pdf] [code]
  21. Yongxin Wang, Zhen-Duo Chen, Xin Luo, and Xin-Shun Xu, “High-dimensional sparse cross-modal hashing with fine-grained similarity embedding,” in Proc. Web Conf. (WWW), 2021, pp. 2900-2909. [pdf] [slide]
  22. Yu-Wei Zhan, Xin Luo, Yu Sun, Yongxin Wang, Zhen-Duo Chen, and Xin-Shun Xu, “Weakly-supervised online hashing,” in Proc. Int. Conf. Multimedia and Expo. (ICME), 2021, pp. 1-6. [pdf] [code]
  23. Yu-Wei Zhan, Yongxin Wang, Yu Sun, Xiao-Ming Wu, Xin Luo and Xin-Shun Xu, “Discrete online cross-modal hashing,” Pattern Recognition, vol. 122, pp. 108262, 2021. [pdf] [code]
  24. Hui-Qiong Li, Yongxin Wang, Zhen-Duo Chen, Xin Luo, and Xin-Shun Xu, “Ranking-based supervised discrete cross-modal hashing (In Chinese),” Chinese Journal of Computers, vol. 44, no. 8, pp. 1620-1635, 2021. [pdf]
  25. Yongxin Wang, Xin Luo, and Xin-Shun Xu, “Label embedding online hashing for cross-modal retrieval,” in Proc. ACM Multimedia Conf. (MM), 2020, pp. 871-879. [pdf] [slide] [code]
  26. Yu-Wei Zhan, Xin Luo, Yongxin Wang, and Xin-Shun Xu, “Supervised hierarchical deep hashing for cross-modal retrieval,” in Proc. ACM Multimedia Conf. (MM), 2020, pp. 3386-3394. [pdf] [code]
  27. Zhen-Duo Chen, Yongxin Wang, Hui-Qiong Li, Xin Luo, Liqiang Nie, and Xin-Shun Xu, “A two-step cross-modal hashing by exploiting label correlations and preserving similarity in both steps,” in Proc. ACM Multimedia Conf. (MM), 2019, pp. 1694–1702. [pdf]
  28. Yongxin Wang, Xin Luo, Huaxiang Zhang, and Xin-Shun Xu, “Sparse manifold embedded hashing for multimedia retrieval,” in Proc. Int. Conf. Data Eng. Workshops (ICDEW), 2019, pp. 312–318. [pdf]
  29. Xin Luo, Xiao-Ya Yin, Liqiang Nie, Xuemeng Song, Yongxin Wang, and Xin-Shun Xu, “SDMCH: Supervised discrete manifold-embedded cross-modal hashing,” in Proc. Int. Joint Conf. Artif. Intell. (IJCAI), 2018, pp. 2518–2524. [pdf]
  30. Yongxin Wang, Huaxiang Zhang, and Feng Yang, “A weighted sparse neighbourhood-preserving projections for face recognition,” IETE Journal of Research, vol. 63, no. 3, pp. 358-367, 2017.

Projects

  • National Natural Science Foundation of China
  • Natural Science Foundation of Shandong Province
  • Special Funds for Distinguished Associate Professors of Shandong Jianzhu University

Services

  • Reviewer for journals
    • IEEE Transactions on Multimedia
    • IEEE Transactions on Image Processing
    • IEEE Transactions on Knowledge and Data Engineering
    • IEEE Transactions on Circuits and Systems for Video Technology
    • IEEE Transactions on Cybernetics
    • Pattern Recognition
    • Information Science
  • Reviewer for conferences
    • Proc. ACM Multimedia Conf. (MM) 2024/2025
    • Proc. ACM Int. Conf. Inf. Knowl. Manag. (CIKM) 2021/2022

Awards

  • Doctoral Dissertation Award, Shandong Association of Artificial Intelligence, 2022
  • Doctoral Dissertation Award, ACM Jinan, 2021
  • Academic Star of School of Software, Shandong University, 2021
  • Outstanding Graduate of Shandong Province, 2017