LAB LOGA page on LabLog, a review site (not the lab's official page)
Big Data Engineering Lab
Machine-translated · View original
The lab researches technologies for making use of big data.
AboutAbout the lab
Leading the big data revolution
The Big Data Engineering Lab researches cutting-edge elemental technologies in fields such as big data, natural language processing, data mining, and artificial intelligence.
While collaborating with researchers active around the world, the lab applies its technologies to big data held by companies, aiming to create new value.
Research themes include deep learning on graph data, databases, and large language models.
On the lab's website, it is introduced under the name "Onizuka Lab."
Key terms
- Graph data
- Data that represents relationships between things. Examples include molecules, road networks, and social networks
- Large language model
- A model designed to process and generate large amounts of natural language, learning the structure, meaning, and knowledge contained in human language data
- Foundation model
- A model with excellent language, vision, and reasoning abilities that can mimic human behavior
NewsLab news
A paper by lab members accepted at APWeb-WAIM
A paper by lab members accepted at IEEE ACCESS
A paper by lab members accepted at ACM Computing Survey
A paper by lab members accepted at EMNLP
A paper by lab members accepted at npj Artificial Intelligence
ResearchResearch themes
Processing big data to discover knowledge and rules is expected to create social and economic impact. Centered on graph data and language models, this lab researches technologies for data management, retrieval, and learning.
*Illustrative imageGraph Deep Learning
The lab develops technologies that process deep learning on graph data with higher accuracy and speed, as well as benchmarks for evaluating their performance.
*Illustrative imageGraph Database Management and Search
The lab researches foundational technologies for managing and searching graph data, aiming to develop a new database management system. It works on indexing, query optimization, and speeding up search with machine learning, and also contributes to international standardization.
*Illustrative imageOptimization of Large Language Models
For large language models, the lab works on three areas: Transformer-based core technologies, methods for adapting models to specialized tasks, and methods for improving LLM agents.
*Illustrative imageModeling with Smart Agents
The lab researches modeling methods that use foundation models, which can mimic human behavior through their language, vision, and reasoning abilities, as agents. The models are built in natural language and used to investigate natural phenomena in various fields, such as economics and behavioral science.
MembersFaculty
The members of the Big Data Engineering Lab (Onizuka Lab) consist of faculty, project researchers, visiting faculty, doctoral, master's, and undergraduate students, interns, and staff.As of 2026
- ProfessorMakoto Onizuka
- Associate ProfessorYuya Sasaki
- Associate ProfessorChuan Xiao
- Assistant ProfessorShuyuan Zheng
- Project Assistant ProfessorRonny Hajoon Ko
VoicesStudent voices
Ratings and reviews reflect the experiences of individual current or former students, not the lab's official views. Whether a lab has reviews, or how many, says nothing about the lab itself.
Students who take part in an interview may receive a thank-you gift worth ¥1,000, regardless of what they say.
Student ratings (0 students)
--
--
--
--
--
--
Student voices answer questions like these
- What's great about this lab?
- What did you learn after joining?
- What's the vibe, and what is the professor like?
- Who is this lab for?
- Where do graduates go?
Your experience can help younger students choose their lab. Your name won't be shown.
Write a lab reviewAnonymous · Your draft is saved if you stopRelatedLabs similar to Big Data Engineering Lab
Data Generation Engineering LabGraduate School of Information Science and Technology, Department of Multimedia EngineeringReal-Scale Social Simulation (RSSS) and digital twins of rea…
Advanced High-Performance Computing Infrastructure Systems LabGraduate School of Information Science and Technology, Department of Multimedia EngineeringCooperative chair conducting research and development on nex…
Intelligent Information Systems LabGraduate School of Information Science and Technology, Department of Multimedia EngineeringAdvanced multimedia information systems integrating database…
Multimedia Agent LabGraduate School of Information Science and Technology, Department of Multimedia EngineeringAn agent that interacts with people using various senses suc…The information on this page is compiled by the LabLog team from the lab's public information and interviews. For corrections or removal requests, please contact LabLog, not the lab.
Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “NOIRLab HQ Server Racks (6V6A0404-CC)” NOIRLab/NSF/AURA/T. Slovinský / CC BY 4.0 (cropped)
- Graph Deep Learning: “Graph attention network” Petar Veličković / CC BY-SA 4.0 (cropped)
- Graph Database Management and Search: “Network graph visualization showing bibliography and keywords” Ecpp / CC BY-SA 4.0 (cropped)
- Optimization of Large Language Models: “BalticServers data center” BalticServers.com / CC BY-SA 3.0 (cropped)
- Modeling with Smart Agents: “GenAI Agent” Marxav / CC BY-SA 4.0 (cropped)
- Related lab (Data Generation Engineering Lab): “দোল উৎসব” Latentlife.archive / CC BY-SA 4.0 (cropped)
- Related lab (Advanced High-Performance Computing Infrastructure Systems Lab): “CSCS Supercomputer Alps 2” CS / CC BY-SA 3.0 (cropped)
- Related lab (Intelligent Information Systems Lab): “Wikimedia Foundation Servers-8055 03” Victorgrigas / CC BY-SA 3.0 (cropped)
- Related lab (Multimedia Agent Lab): “EZ-Robot Humanoid software” Bobjgalindo / CC BY 4.0 (cropped)
About LabLog
LabLog is a lab review app for students only. Student members at each university interview students in labs and publish what they say. Student voices can only be read by students who sign up with a university email address. Operated by bestiee Inc.
Learn more about LabLog ↗Search engines and AI may reference the basic lab info and rating summaries on this page and the description of LabLog. Student voices are for student members only. Automated collection by programs (scraping, or input to or training of AI) is prohibited under Article 8 of the Terms of Service. If you need data for research or analysis, please contact us.