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.
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.
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.
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.
We will show you the latest news about our Lab.
2020/10/1 Our paper was accepted: S. Ohashi, M. Isogawa, T. Kajiwara and Y. Arase: Tiny Word Embeddings Using Globally Informed Reconstruction, in Proc. of International Conference on Computational Linguistics (COLING2020), (Dec. 2020 to appear).
2020/9/16 Our paper was accepted: J. Takayama and Y. Arase, Consistent Response Generation with Controlled Specificity, EMNLP-Findings.
2020/9/16 Our paper was accepted: Y. Arase and J. Tsujii, Compositional Phrase Alignment and Beyond, EMNLP 2020.
2020/8/28 Our paper was accepted: Jianbin Qin, Wei Wang, Chuan Xiao, Ying Zhang, Similarity Query Processing for High-Dimensional Data, In Proceedings of the Very Large Data Bases Endowment, Vol.13, No.12, pp.3437-3440, August 2020
2020/7/27 Our paper was accepted: Satoshi Koide, Chuan Xiao, Yoshiharu Ishikawa, Fast Subtrajectory Similarity Search in Road Networks under Weighted Edit Distance Constraints, In Proceedings of the Very Large Data Bases Endowment, Vol.13, No.11, pp.2188-2201, July 2020.
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.