Research field (2):
Intelligent informatics
, Database science
Research keywords (6):
Graph Neural Networks
, Graph Mining
, Location-based Service
, Text and Multimedia Retrieval
, Query processing and Indexing
, Query Autocompletion
Research theme for competitive and other funds (1):
2021 - 2025 深層生成モデルを用いたグラフ自動補完アルゴリズムの開発
Papers (9):
Yuki Ide, Hayato Shirakura, Taichi Sano, Muthuchamy Murugavel, Yuya Inaba, Sheng Hu, Ichigaku Takigawa, Yasuhide Inokuma. Machine Learning-Based Analysis of Molar and Enantiomeric Ratios and Reaction Yields Using Images of Solid Mixtures. 2023
Sheng Hu, Ichigaku Takigawa, Chuan Xiao. Edit-Aware Generative Molecular Graph Autocompletion for Scaffold Input. The Seventh International Workshop on Deep Learning on Graphs (DLG@AAAI'22 Workshop). 2022
Sheng Hu. Efficient Text Autocompletion for Online Services. Frontiers of Digital Transformation. 2021. 171-185
Yukai Miao, Jianbin Qin, Sheng Hu, Yuyang Dong, Yoshiharu Ishikawa, Makoto Onizuka. NGNC: A Flexible and Efficient Framework for Error-Tolerant Query Autocompletion. Workshop on Software Foundations for Data Interoperability (SFDI 2020@VLDB 2020 Workshop). 2020