Biography

Prof. Yanxiang He

Wuhan University, China


Email: [email protected]


Qualifications

1999  Ph.D., Wuhan University, China

1986 M.Sc., University of Oregon, USA

1975  B.Sc., Wuhan University, China


Publications (Selected)

  1. Shen, F., Liu, H., Xu, C., Ouyang, L., Zhang, J., Chen, Y., & He, Y. (2025). VGGNet and Attention Mechanism-Based Image Quality Assessment Algorithm in Symmetry Edge Intelligence Systems. Symmetry, 17(3), 331.
  2. Liu, F., Li, H., Hu, W., & He, Y. (2024). Review of neural network model acceleration techniques based on FPGA platforms. Neurocomputing, 610, 128511.
  3. Zhang, J., Li, Y., Shen, F., Xia, C., Tan, H., & He, Y. (2024). Hierarchy-aware and label balanced model for hierarchical text classification. Knowledge-Based Systems, 300, 112153.
  4. Zhang, J., Li, Y., Shen, F., He, Y., Tan, H., & He, Y. (2024). Hierarchical text classification with multi-label contrastive learning and KNN. Neurocomputing, 577, 127323.
  5. Shen, F., Shi, L., Zhang, J., Xu, C., Chen, Y., & He, Y. (2024). BMSE: Blockchain-based multi-keyword searchable encryption for electronic medical records. Computer Standards & Interfaces, 89, 103824.
  6. Jun, Z., Longlong, Q., Fanfan, S., Yueshun, H., Hai, T., & Yanxiang, H. (2023). Rating text classification with weighted negative supervision on classifier layer. Chinese Journal of Electronics, 32(6), 1304-1318.
  7. Chen, M., & He, Y. (2021). Wire rope weak defect signal processing methods based on improved SVD and phase space reconstruction. Information Technology and Control, 50(4), 752-768.
  8. Liu, F., Fan, Z., He, Y., & Peng, M. (2021, September). Software-hardware co-optimization for cnns based on reconfigurable devices. In 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom) (pp. 1279-1286). IEEE.
  9. Yanxiang, H., Muchao, C., Qingan, L., Jing, H., Fanfan, S., & Ziqi, S. (2018). A Survey of Phase Change Random Access Memory Wear Leveling. Chinese Journal of Computers, 41(10), 2295-2317.
  10. Chen, Q., Li, C., & Li, W. (2017, November). Modeling language discrepancy for cross-lingual sentiment analysis. In Proceedings of the 2017 ACM on Conference on Information and Knowledge Management (pp. 117-126).
  11. Shen, F., He, Y., Zhang, J., Jiang, N., Li, Q. A., & Li, J. (2017). Feedback Learning Based Dead Write Termination for Energy Efficient STT‐RAM Caches. Chinese Journal of Electronics, 26(3), 460-467.
  12. Wu, L., Nie, L., Fan, J., He, Y., Liu, Q., & Wu, D. (2017). An efficient multi‐hop broadcast protocol for emergency messages dissemination in VANETs. Chinese Journal of Electronics, 26(3), 614-623.
  13. Peng, M., Xi, J. J., & Dai, X. Y. (2017). Collaborative filtering recommendation based on sentiment analysis and LDA topic model. Journal of Chinese Information Processing, 31(2), 194-203.


Profile Details

http://jszy.whu.edu.cn/heyanxiang/en/index.htm

https://scholar.google.com/citations?user=M6RsyXMAAAAJ&hl=en

https://www.researchgate.net/scientific-contributions/Yanxiang-He-11354182

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