Personal Info

I’m Yongxin Wang (王永欣). I am currently an associate professor with the School of Computer Science and Technology, 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 machine learning, multimedia analysis, information retrieval, and computer vision.

Research Interests

  1. Machine Learning
  2. Multimedia Analysis
  3. Computer Vision

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, 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. 0, no, 0, pp. 0-0, 2024. [pdf] [code]
  2. 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]
  3. 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]

  4. 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]
  5. 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]
  6. 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]
  7. 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]

  8. 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]
  9. 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,” Proc. ACM Multimedia Conf. (ACM MM), 2023, pp. 6340-6349. [pdf] [code]
  10. 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].
  11. 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]
  12. 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]
  13. 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]
  14. 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]
  15. 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]
  16. 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]
  17. 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]
  18. 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]
  19. 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]
  20. 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
  • Reviewer for conferences
    • Proc. ACM Int. Conf. Inf. Knowl. Manag. (CIKM) 2021/2022 - PC Member
    • Proc. IEEE Int. Conf. Multimedia and Expo (ICME) 2023 - PC Member

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