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Masafumi Oyamada
Observed name:
Oyamada, Masafumi
Institution:
NEC (Japan)
Observed institutions:
NEC (Japan),
University of Tsukuba
ORCID:
0000-0002-4045-7350
Observed ORCID:
0000-0002-4045-7350
OpenAlex ID:
A5044722101
Efficient Joinable Table Discovery in Data Lakes: A High-Dimensional Similarity-Based Approach
2021
·
Yuyang Dong
, Kunihiro Takeoka
, et al.
·
IEEE International Conference on Data Engineering (ICDE)
·
82
PDF
DeepJoin: Joinable Table Discovery with Pre-Trained Language Models
2023
·
Yuyang Dong
, Chuan Xiao
, et al.
·
Proceedings of the VLDB Endowment
·
63
PDF
Meimei: An Efficient Probabilistic Approach for Semantically Annotating Tables
2019
·
Kunihiro Takeoka
, Masafumi Oyamada
, et al.
·
Proceedings of the AAAI Conference on Artificial Intelligence
·
43
PDF
Low-resource Taxonomy Enrichment with Pretrained Language Models
2021
·
Kunihiro Takeoka
, Kosuke Akimoto
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
·
23
PDF
Continuous top-k spatial–keyword search on dynamic objects
2020
·
Yuyang Dong
, Chuan Xiao
, et al.
·
The VLDB Journal
·
20
Jellyfish: Instruction-Tuning Local Large Language Models for Data Preprocessing
2024
·
Haochen Zhang
, Yuyang Dong
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
·
19
PDF
Large Language Models as Data Preprocessors
2023
·
Zhang, Haochen
, Dong, Yuyang
, et al.
·
arXiv (Cornell University)
·
13
PDF
Table Enrichment System for Machine Learning
2022
·
Yuyang Dong
, Masafumi Oyamada
·
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
·
12
PDF
Continuous query processing with concurrency control
2013
·
Masafumi Oyamada
, Hideyuki Kawashima
, et al.
·
ACM Symposium on Applied Computing
·
10
Learning with Unsure Responses
2020
·
Kunihiro Takeoka
, Yuyang Dong
, et al.
·
Proceedings of the AAAI Conference on Artificial Intelligence
·
9
Extracting Feature Engineering Knowledge from Data Science Notebooks
2019
·
Masafumi Oyamada
·
IEEE International Conference on Big Data (BigData)
·
8
Relational Mixture of Experts: Explainable Demographics Prediction with Behavioral Data
2017
·
Masafumi Oyamada
, Shinji Nakadai
·
Proceedings
·
7
Context Quality Matters in Training Fusion-in-Decoder for Extractive Open-Domain Question Answering
2023
·
Kosuke Akimoto
, Kunihiro Takeoka
, et al.
·
Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
·
6
User Identity Linkage for Different Behavioral Patterns across Domains
2021
·
Genki Kusano
, Masafumi Oyamada
·
Proceedings of the International AAAI Conference on Web and Social Media
·
6
PDF
LLM-based Query Expansion Fails for Unfamiliar and Ambiguous Queries
2025
·
Kenya Abe
, Kunihiro Takeoka
, et al.
·
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
·
5
PDF
Jellyfish: A Large Language Model for Data Preprocessing
2023
·
Zhang, Haochen
, Dong, Yuyang
, et al.
·
arXiv (Cornell University)
·
5
PDF
Data stream processing with concurrency control
2013
·
Masafumi Oyamada
, Hideyuki Kawashima
, et al.
·
ACM SIGAPP Applied Computing Review
·
5
Understanding the Impact of Confidence in Retrieval Augmented Generation: A Case Study in the Medical Domain
2025
·
Shintaro Ozaki
, Yuta Kato
, et al.
·
Workshop on Biomedical Language Processing (BioNLP)
·
4
PDF
Towards Large Language Model Organization: A Case Study on Abstractive Summarization
2023
·
Krisztián Boros
, Masafumi Oyamada
·
IEEE International Conference on Big Data (BigData)
·
3
On the Use of Large Language Models for Table Tasks
2024
·
Yuyang Dong
, Masafumi Oyamada
, et al.
·
ACM International Conference on Information and Knowledge Management (CIKM)
·
2
QA-Matcher: Unsupervised Entity Matching Using a Question Answering Model
2023
·
Shogo Hayashi
, Yuyang Dong
, et al.
·
Lecture notes in computer science
·
2
Entity Matching with String Transformation and Similarity-Based Features
2022
·
Kazunori Sakai
, Yuyang Dong
, et al.
·
Communications in computer and information science
·
2
Link Prediction for Isolated Nodes in Heterogeneous Network by Topic-Based Co-clustering
2017
·
Katsufumi Tomobe
, Masafumi Oyamada
, et al.
·
Lecture notes in computer science
·
2
Read More, Think More: Revisiting Observation Reduction for Web Agents
2026
·
Enomoto, Masafumi
, Obara, Ryoma
, et al.
·
arXiv (Cornell University)
·
1
PDF
SCAN: Semantic Document Layout Analysis for Textual and Visual Retrieval-Augmented Generation
2026
·
Nobuhiro Ueda
, Yuyang Dong
, et al.
·
Findings of the Association for Computational Linguistics: EACL
·
1
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Works count:
61
Citation count:
361
H-index:
9
I10-index:
9
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