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ORCIDMasafumi Oyamada
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2020 – today
- 2024
[c20]Taro Yano, Kunihiro Takeoka, Masafumi Oyamada:
Relevance, Diversity, and Exclusivity: Designing Keyword-augmentation Strategy for Zero-shot Classifiers. *SEM@NAACL 2024: 106-119- [c19]Haochen Zhang, Yuyang Dong, Chuan Xiao, Masafumi Oyamada:
Large Language Models as Data Preprocessors. VLDB Workshops 2024 - [i7]Kosuke Akimoto, Kunihiro Takeoka, Masafumi Oyamada:
Context Quality Matters in Training Fusion-in-Decoder for Extractive Open-Domain Question Answering. CoRR abs/2403.14197 (2024) - [i6]Masafumi Enomoto, Kunihiro Takeoka, Kosuke Akimoto, Kiril Gashteovski, Masafumi Oyamada:
LightPAL: Lightweight Passage Retrieval for Open Domain Multi-Document Summarization. CoRR abs/2406.12494 (2024) - 2023
- [j3]Yuyang Dong, Chuan Xiao, Takuma Nozawa, Masafumi Enomoto, Masafumi Oyamada:
DeepJoin: Joinable Table Discovery with Pre-trained Language Models. Proc. VLDB Endow. 16(10): 2458-2470 (2023) - [c18]Krisztián Boros, Masafumi Oyamada:
Towards Large Language Model Organization: A Case Study on Abstractive Summarization. IEEE Big Data 2023: 6109-6112 - [c17]Genki Kusano, Masafumi Oyamada:
Cross-Domain User Similarity without Overlapping Attributes via Optimal Transport Theory. eCom@SIGIR 2023 - [c16]Kosuke Akimoto, Kunihiro Takeoka, Masafumi Oyamada:
Context Quality Matters in Training Fusion-in-Decoder for Extractive Open-Domain Question Answering. EMNLP (Findings) 2023: 11711-11729 - [c15]Shogo Hayashi
, Yuyang Dong, Masafumi Oyamada:
QA-Matcher: Unsupervised Entity Matching Using a Question Answering Model. PAKDD (4) 2023: 174-185 - [i5]Haochen Zhang, Yuyang Dong, Chuan Xiao, Masafumi Oyamada:
Large Language Models as Data Preprocessors. CoRR abs/2308.16361 (2023) - [i4]Haochen Zhang, Yuyang Dong, Chuan Xiao, Masafumi Oyamada:
Jellyfish: A Large Language Model for Data Preprocessing. CoRR abs/2312.01678 (2023) - 2022
- [c14]Yuyang Dong, Masafumi Oyamada:
Table Enrichment System for Machine Learning. SIGIR 2022: 3267-3271 - [i3]Yuyang Dong, Masafumi Oyamada:
Table Enrichment System for Machine Learning. CoRR abs/2204.08235 (2022) - [i2]Yuyang Dong, Chuan Xiao, Takuma Nozawa, Masafumi Enomoto, Masafumi Oyamada:
DeepJoin: Joinable Table Discovery with Pre-trained Language Models. CoRR abs/2212.07588 (2022) - 2021
- [j2]Yuyang Dong, Chuan Xiao, Hanxiong Chen, Jeffrey Xu Yu, Kunihiro Takeoka, Masafumi Oyamada, Hiroyuki Kitagawa:
Continuous top-k spatial-keyword search on dynamic objects. VLDB J. 30(2): 141-161 (2021) - [c13]Kunihiro Takeoka, Kosuke Akimoto, Masafumi Oyamada:
Low-resource Taxonomy Enrichment with Pretrained Language Models. EMNLP (1) 2021: 2747-2758 - [c12]Yuyang Dong, Kunihiro Takeoka, Chuan Xiao, Masafumi Oyamada:
Efficient Joinable Table Discovery in Data Lakes: A High-Dimensional Similarity-Based Approach. ICDE 2021: 456-467 - [c11]Genki Kusano, Masafumi Oyamada:
User Identity Linkage for Different Behavioral Patterns across Domains. ICWSM 2021: 351-360 - [c10]Masafumi Enomoto, Kunihiro Takeoka, Yuyang Dong, Masafumi Oyamada, Takeshi Okadome:
Quality Control for Hierarchical Classification with Incomplete Annotations. PAKDD (3) 2021: 219-230 - 2020
- [c9]Kunihiro Takeoka, Yuyang Dong, Masafumi Oyamada:
Learning with Unsure Responses. AAAI 2020: 230-237 - [i1]Yuyang Dong, Kunihiro Takeoka, Chuan Xiao, Masafumi Oyamada:
Efficient Joinable Table Discovery in Data Lakes: A High-Dimensional Similarity-Based Approach. CoRR abs/2010.13273 (2020)
2010 – 2019
- 2019
- [c8]Kunihiro Takeoka, Masafumi Oyamada, Shinji Nakadai, Takeshi Okadome:
Meimei: An Efficient Probabilistic Approach for Semantically Annotating Tables. AAAI 2019: 281-288 - [c7]Masafumi Oyamada:
Extracting Feature Engineering Knowledge from Data Science Notebooks. IEEE BigData 2019: 6172-6173 - 2018
- [j1]Masafumi Oyamada, Jianquan Liu, Shinji Ito, Kazuyo Narita, Takuya Araki, Hiroyuki Kitagawa:
Compressed Vector Set: A Fast and Space-Efficient Data Mining Framework. J. Inf. Process. 26: 416-426 (2018) - [c6]Masafumi Oyamada:
Accelerating Feature Engineering with Adaptive Partial Aggregation Tree. IEEE BigData 2018: 5417-5419 - 2017
- [c5]Masafumi Oyamada, Shinji Nakadai:
Relational Mixture of Experts: Explainable Demographics Prediction with Behavioral Data. ICDM 2017: 357-366 - [c4]Katsufumi Tomobe, Masafumi Oyamada, Shinji Nakadai:
Link Prediction for Isolated Nodes in Heterogeneous Network by Topic-Based Co-clustering. PAKDD (1) 2017: 147-159 - 2014
- [c3]Masafumi Oyamada, Jianquan Liu, Kazuyo Narita, Takuya Araki:
MOARLE: Matrix Operation Accelerator Based on Run-Length Encoding. APWeb 2014: 425-436 - 2013
- [c2]Masafumi Oyamada, Hideyuki Kawashima, Hiroyuki Kitagawa:
Continuous query processing with concurrency control: reading updatable resources consistently. SAC 2013: 788-794 - 2011
- [c1]Masafumi Oyamada, Hideyuki Kawashima, Hiroyuki Kitagawa:
Efficient Invocation of Transaction Sequences Triggered by Data Streams. 3PGCIC 2011: 332-337
Coauthor Index
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