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Dr Meng Fang

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Lecturer (Computer Science)

Recent Publications

  • Du, Y., Fang, M., Yi, J., Xu, C., Cheng, J., & Tao, D. (2019). Enhancing the robustness of neural collaborative filtering systems under malicious attacks. IEEE Transactions on Multimedia, 21(3), 555-565. doi:10.1109/TMM.2018.2887018

  • Fang, M., Zhou, C., Shi, B., Gong, B., Xu, J., & Zhang, T. (2019). Dher: Hindsight experience replay for dynamic goals. In 7th International Conference on Learning Representations, ICLR 2019.

  • Li, T., Xi, W., Fang, M., Xu, J., & Meng, M. Q. H. (2019). Learning to Solve a Rubik's Cube with a Dexterous Hand. In IEEE International Conference on Robotics and Biomimetics, ROBIO 2019 (pp. 1387-1393). doi:10.1109/ROBIO49542.2019.8961560

  • Fang, M., Zhou, T., Yin, J., Wang, Y., & Tao, D. (2019). Data Subset Selection With Imperfect Multiple Labels. IEEE Transactions on Neural Networks and Learning Systems, 30(7), 2212-2221. doi:10.1109/tnnls.2018.2875470

Find more research publications by Meng Fang


Contact Details

Name  Extn.  Username  Room  Department
Fang, Dr Meng 4978 mengf G.1.07 Computer Science

You can contact staff by:
  • Calling +64 7 838 4466  select option 1, then enter the extension
  • Extensions starting with 4, 5, 9 or 3 can also be direct dialled:
    • For extensions starting with 4: dial +64 7 838 extension
    • For extensions starting with 5: dial +64 7 858 extension
    • For extensions starting with 9: dial +64 7 837 extension
    • For extensions starting with 3: dial +64 7 2620 + the last 3 digits of the extension  e.g. 3123 = +64 7 262 0123
  • Emailing username@waikato.ac.nz
  • Using the campus map to locate their room