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
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(2024).
Large Multimodal Model Compression via Efficient Pruning and Distillation.
WWW 2024 (Oral).
(2024).
DNS-Rec Data-aware Neural Architecture Search for Recommender Systems.
(Equal Contribution) RecSys.
(2024).
Tensorized Hypergraph Neural Networks.
SDM 2024.
(2023).
Federated Knowledge Graph Completion via Latent Embedding Sharing.
ICDM 2023.
(2023).
User retention-oriented recommendation with decision transformer.
WWW 2023.
(2022).
TedNet: A Pytorch toolkit for tensor decomposition networks.
in Neurocomputing.
(2021).
An interpretable bi-branch neural network for matrix completion.
(Equal Contribution) Signal Processing.
(2020).
Concatenated tensor networks for deep multi-task learning.
in ICONIP.
(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 SAR,