Maolin Wang 王茂林

Maolin Wang 王茂林

Ph.D. Student in Data Science

City University of Hong Kong

Biography

Maolin Wang is a Ph.D. Student co-supervised by Dr. Xiangyu Zhao (Supervisor), Dr. Ruocheng Guo (External Supervisor), and Prof. Junhui Wang (External Supervisor) at the City University of Hong Kong. His research interests include Tensor Decompositions (Tensor Networks), Graph Data Processing, and Deep Neural Networks. He got his master’s and bachelor’s degree from University of Electronic Science and Technology of China (UESTC) supervised by Prof. Zenglin Xu.

Download my resumé.

Interests
  • Tensor Decompositions
  • Graph Data Processing
  • Deep Neural Networks
Education

  • Ph.D. in Data Science, 2021-

    City University of Hong Kong

  • M.Phil. in Computer Science, 2018-2021

    UESTC

  • B.Sc. in Computer Science, 2014-2018

    UESTC

Publications

Quickly discover relevant content by filtering publications.
Yu Pan, Maolin Wang, Zenglin Xu (2022). TedNet: A Pytorch toolkit for tensor decomposition networks. in Neurocomputing.

Maolin Wang, Zeyong Su, Xu Luo, Yu Pan, Shenggen Zheng, Zenglin Xu (2020). Concatenated tensor networks for deep multi-task learning. in ICONIP.

Yu Pan, Jing Xu, Maolin Wang, Jinmian Ye, Fei Wang, Kun Bai, Zenglin Xu (2019). Compressing recurrent neural networks with tensor ring for action recognition. in AAAI.

Maolin Wang, Chenbin Zhang, Yu Pan, Jing Xu, Zenglin Xu (2019). Tensor Ring Restricted Boltzmann Machine. (Oral) in IJCNN.

Contact

  • wml@morin.wang
  • 601 Nanshan Building, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong,