Make the Big Data Revolution
The research fields of Big data, IoT, natural language processing, data mining,
and artificial intelligence receive huge attention in the world.
We create new visions for the future in these fields
by collaborating with world-leading researchers.
We also engage in the research on the theory and practice
by applying our research outputs to the Big Data in the real world.
Big data is priceless and has infinite power.
We leverage ICT and Big Data to make the world a better place.
Work together with us to lead the Big Data Revolution.
Research
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High-Performance Database Engine
Databases are a widely-used, fundamental technology. Therefore, speeding them up improves the performance of various services. In the data mining field in particular, high-speed databases suitable for large-scale data processing are necessary for research and development. We are working on speeding up databases using a variety of approaches.
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Natural Language Processing
The language is one of the most familiar tools for us to think and interact with others. Our dream is to reveal the mechanism how people process languages, and reproduce that ability on machines. We are working on natural language processing from basic technologies for language understanding to high-level applications, including conversational agents and machine translation.
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Data Mining
Data mining is a technology that extracts knowledge from data. It is expected to be effective in various fields such as business domain and medical domain. We are aiming to develop an advanced data mining technology that enables everyone to easily analyze Big Data to achieve accurate and diverse knowledge discovery.
Latest News
We will show you the latest news about our Lab.
2022/12/11 Our paper was accepted: Kejing Lu, Yoshiharu Ishikawa, Chuan Xiao. MQH: Locality Sensitive Hashing on Multi-level Quantization Errors for Point-to-Hyperplane Distances. PVLDB
2022/11/18 Our paper was accepted: Si-qing Xu, Hong-di He, Ming-ke Yang, Cui-lin Wu, Xing-hang Zhu, Zhong-ren Peng, Yuya Sasaki, Kenji Doi , Shinji Shimojo, To what extent the traffic restriction policies can improve its air quality? An inspiration from COVID-19, Stochastic Environmental Research and Risk Assessment
2022/10/10 Our paper was accepted: Seiji Maekawa, Dan Zhang, Hannah Kim, Sajjadur Rahman and Estevam Hruschka. Low-resource Interactive Active Labeling for Fine-tuning Language Models, Findings of Conference on Empirical Methods in Natural Language Processing (EMNLP2022), December 2022
2022/10/7 Our paper was accepted: Y. Arase, S. Uchida, and T. Kajiwara. CEFR-based Sentence Difficulty Annotation and Assessment, in Proc. of Conference on Empirical Methods in Natural Language Processing (EMNLP2022) (Dec. 2022 to appear).
2022/9/28 Our paper was accepted: Seiji Maekawa, Koki Noda, Yuya Sasaki, Makoto Onizuka, Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs, Datasets and Benchmarks Track of NeurIPS2022
For Visitors
Applicants for admission to our Lab
We are looking for new members (students and post-doc) in our Lab.
If you would like to know more detail, please contact with Prof. Onizuka.
We don't accept research students unless they passed the entrance exams of our graduate school.
Researchers at companies or universities
We promote collaborative researches with various companies and universities
If you would like to ask for information about collaborative research, please send a email to Onizuka professor.
