Publications

Shogo Hayashi, Yuyang Dong, Masafumi Oyamada (2023). QA-Matcher: Unsupervised Entity Matching Using a Question Answering Model. PAKDD.

Yuyang Dong, Chuan Xiao, Masafumi Enomoto, Takuma Nozawa, Masafumi Oyamada (2023). DeepJoin: Joinable Table Discovery with Pre-trained Language Models. VLDB.

Genki Kusano, Masafumi Oyamada (2023). Cross-Domain User Similarity without Overlapping Attributes via Optimal Transport Theory. SIGIR eCom.

Yuyang Dong, Masafumi Oyamada (2022). Table Enrichment System for Machine Learning (Demo). SIGIR.

Kunihiro Takeoka, Kosuke Akimoto, Masafumi Oyamada (2021). Low-resource Taxonomy Enrichment with Pretrained Language Models. EMNLP.

Kazunori Sakai, Yuyang Dong, Masafumi Oyamada, Kunihiro Takeoka, Takeshi Okadome (2021). Entity Matching with String Transformation and Similarity-Based Features. SFDI.

Genki Kusano, Masafumi Oyamada (2021). User Identity Linkage for Different Behavioral Patterns across Domains. ICWSM.

Yuyang Dong, Kunihiro Takeoka, Chuan Xiao, Masafumi Oyamada (2021). Efficient Joinable Table Discovery in Data Lake: A High-Dimensional Similarity-Based Approach. ICDE.

Masafumi Enomoto, Kunihiro Takeoka, Yuyang Dong, Masafumi Oyamada, Takeshi Okadome (2021). Quality Control for Hierarchical Classification with Incomplete Annotations. PAKDD.

Kunihiro Takeoka, Yuyang Dong, Masafumi Oyamada (2020). Learning from Unsure Responses. AAAI 2020.

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Yuyang Dong, Chuan Xiao, Hanxiong Chen, Jefferey Xu Yu, Kunihiro Takeoka, Masafumi Oyamada, Hiroyuki Kitagawa (2020). Continuous Top-k Spatial-Keyword Search on Dynamic Objects. VLDB Journal.

Masafumi Oyamada (2019). Extracting Feature Engineering Knowledge from Data Science Notebooks. IEEE Big Data 2019.

Kunihiro Takeoka, Masafumi Oyamada, Shinji Nakadai, Takeshi Okadome (2019). Meimei: An Efficient Probabilistic Approach for Semantically Annotating Tables. AAAI 2019.

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Masafumi Oyamada, Jianquan Liu, Shinji Ito, Kazuyo Narita, Takuya Araki, Hiroyuki Kitagawa (2018). Compressed Vector Set: A Fast and Space-Efficient Data Mining Framework. Journal of Information Processing (JIP).

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Masafumi Oyamada (2018). Accelerating Feature Engineering with Adaptive Partial Aggregation Tree. IEEE Big Data 2018.

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Masafumi Oyamada, Shinji Nakadai (2017). Relational Mixture of Experts: Explainable Demographics Prediction with Behavioral Data. ICDM 2017.

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Katsufumi Tomobe, Masafumi Oyamada, Shinji Nakadai (2017). Link Prediction for Isolated Nodes in Heterogeneous Network by Topic-Based Co-clustering. PAKDD 2017.

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Masafumi Oyamada, Jianquan Liu, Kazuyo Narita, Takuya Araki (2014). MOARLE: Matrix Operation Accelerator Based on Run-Length Encoding. APWeb 2014.

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Masafumi Oyamada, Hideyuki Kawashima, Hiroyuki Kitagawa (2013). Data Stream Processing with Concurrency Control. ACM SIGAPP Applied Computing Review.

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Masafumi Oyamada, Hideyuki Kawashima, Hiroyuki Kitagawa (2013). Continuous Query Processing with Concurrency Control: Reading Updatable Resources Consistently. ACM SAC 2013.

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Masafumi Oyamada, Hideyuki Kawashima, Hiroyuki Kitagawa (2011). Efficient Invocation of Transaction Sequences Triggered by Data Streams. SMDMS 2011.

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