| An efficient algorithm for location-aware query autocompletion S Hu, C Xiao, Y Ishikawa IEICE TRANSACTIONS on Information and Systems 101 (1), 181-192, 2018 | 19 | 2018 |
| Efficient query autocompletion with edit distance-based error tolerance J Qin, C Xiao, S Hu, J Zhang, W Wang, Y Ishikawa, K Tsuda, K Sadakane The VLDB Journal 29, 919-943, 2020 | 11 | 2020 |
| Scope-aware code completion with discriminative modeling S Hu, C Xiao, Y Ishikawa Journal of Information Processing 27, 469-478, 2019 | 4 | 2019 |
| Autocompletion for prefix-abbreviated input S Hu, C Xiao, J Qin, Y Ishikawa, Q Ma Proceedings of the 2019 International Conference on Management of Data, 211-228, 2019 | 3 | 2019 |
| Machine Learning-Based Analysis of Molar and Enantiomeric Ratios and Reaction Yields Using Images of Solid Mixtures Y Ide, H Shirakura, T Sano, M Murugavel, Y Inaba, S Hu, I Takigawa, ... Industrial & Engineering Chemistry Research 62 (35), 13790-13798, 2023 | 1 | 2023 |
| Efficient text autocompletion for online services S Hu Frontiers of Digital Transformation: Applications of the Real-World Data …, 2021 | 1 | 2021 |
| Edit-Aware Generative Molecular Graph Autocompletion for Scaffold Input S Hu, I Takigawa, C Xiao | | 2022 |
| NGNC: A Flexible and Efficient Framework for Error-Tolerant Query Autocompletion Y Miao, J Qin, S Hu, Y Dong, Y Ishikawa, M Onizuka Software Foundations for Data Interoperability and Large Scale Graph Data …, 2020 | | 2020 |
| User-Interactive Molecular Graph Suggestion for Drug Discovery S HU, I TAKIGAWA, C XIAO | | |
| GNN-based Molecular Graph Autocompletion S HU, I TAKIGAWA, C XIAO | | |
| Efficient Autocompletion with Error tolerance S HU, C XIAO, Y ISHIKAWA | | |
