| Efficient Joinable Table Discovery in Data Lakes: A High-Dimensional Similarity-Based Approach Y Dong, K Takeoka, C Xiao, M Oyamada arXiv preprint arXiv:2010.13273, 2020 | 56 | 2020 |
| DeepJoin: Joinable Table Discovery with Pre-trained Language Models Y Dong, C Xiao, T Nozawa, M Enomoto, M Oyamada arXiv preprint arXiv:2212.07588, 2022 | 11 | 2022 |
| Continuous top-k spatial–keyword search on dynamic objects Y Dong, C Xiao, H Chen, JX Yu, K Takeoka, M Oyamada, H Kitagawa The VLDB Journal 30 (2), 141-161, 2021 | 11 | 2021 |
| Continuous search on dynamic spatial keyword objects Y Dong, H Chen, H Kitagawa 2019 IEEE 35th International Conference on Data Engineering (ICDE), 1578-1581, 2019 | 10 | 2019 |
| Grid-Index Algorithm for Reverse Rank Queries. Y Dong, H Chen, JX Yu, K Furuse, H Kitagawa EDBT, 306-317, 2017 | 10 | 2017 |
| Aggregate reverse rank queries Y Dong, H Chen, K Furuse, H Kitagawa Database and Expert Systems Applications: 27th International Conference …, 2016 | 9 | 2016 |
| Learning with unsure responses K Takeoka, Y Dong, M Oyamada Proceedings of the AAAI conference on artificial intelligence 34 (01), 230-237, 2020 | 7 | 2020 |
| Balanced nearest neighborhood query in spatial database S Le, Y Dong, H Chen, K Furuse 2019 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2019 | 7 | 2019 |
| Table enrichment system for machine learning Y Dong, M Oyamada Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 5 | 2022 |
| Large language models as data preprocessors H Zhang, Y Dong, C Xiao, M Oyamada arXiv preprint arXiv:2308.16361, 2023 | 4 | 2023 |
| Weighted aggregate reverse rank queries Y Dong, H Chen, JX Yu, K Furuse, H Kitagawa ACM Transactions on Spatial Algorithms and Systems (TSAS) 4 (2), 1-23, 2018 | 3 | 2018 |
| Efficient methods for aggregate reverse rank queries Y Dong, H Chen, K Furuse, H Kitagawa IEICE transactions on information and systems 101 (4), 1012-1020, 2018 | 2 | 2018 |
| Efficient processing of aggregate reverse rank queries Y Dong, H Chen, K Furuse, H Kitagawa Database and Expert Systems Applications: 28th International Conference …, 2017 | 2 | 2017 |
| Jellyfish: A Large Language Model for Data Preprocessing H Zhang, Y Dong, C Xiao, M Oyamada arXiv preprint arXiv:2312.01678, 2023 | 1 | 2023 |
| CAGAIN: Column Attention Generative Adversarial Imputation Networks J Kawagoshi, Y Dong, T Nozawa, C Xiao International Conference on Database and Expert Systems Applications, 258-273, 2023 | 1 | 2023 |
| Quality Control for Hierarchical Classification with Incomplete Annotations M Enomoto, K Takeoka, Y Dong, M Oyamada, T Okadome Pacific-Asia Conference on Knowledge Discovery and Data Mining, 219-230, 2021 | 1 | 2021 |
| Bound-and-filter framework for aggregate reverse rank queries Y Dong, H Chen, K Furuse, H Kitagawa Transactions on Large-Scale Data-and Knowledge-Centered Systems XXXVIII …, 2018 | 1 | 2018 |
| Information processing apparatus, analysis method, and storage medium T Nozawa, M Oyamada, Y Dong, G Kusano US Patent App. 18/266,745, 2024 | | 2024 |
| Information processing device, information processing method and program Y Dong, M Oyamada, T Nozawa, M Enomoto US Patent App. 18/220,600, 2024 | | 2024 |
| Coupling table specification system, coupling table search device, method, and program Y Dong, M Oyamada US Patent App. 18/024,163, 2023 | | 2023 |
Masafumi OyamadaChief Scientist / Director of Generative AI Foundation, NEC CorporationVerified email at nec.com
