Data Platform Research Team

Team Outline

Our Research

The Data Platform Research Team is working towards the development of AI data platforms that can support the data life cycle through the creation of data ecosystems that combine distributed parallel processing, knowledge representation and reasoning, and machine learning techniques. In particular, we focus on Data Governance Platform that can continuously integrate heterogeneous data captured from various sensing devices and autonomously augment intelligence of human beings and things. Our platform will allow users to be able to understand real-world situations, explore related data, learn a meaningful pattern, predict the future, and finally adapt to their surrounding situation.

Workshop

Akiyoshi Matono
Team Leader

Information

2024.06.27

Best Paper awarded at JSAI-SLUD 2024 100th Symposium
"Cognitive Model of Response Token Generation"
森大河, 伝康晴, Jokinen Kristiina
https://doi.org/10.11517/jsaislud.100.0_180

2023.10.02

Best Paper awarded at ICCV 2023 Workshop on Visual Continual Learning
"Class-Incremental Learning using Diffusion Model for Distillation and Replay"
Quentin Jodelet, Xin Liu, Yin Jun Phua, and Tsuyoshi Murata
https://iccv2023.thecvf.com/

2023.03.22

Paper accepted at IDEAS 2023
"AdapterEM: Pre-trained Language Model Adaptation for Generalized Entity Matching using Adapter-tuning"
John Bosco Mugeni, Steve Lynden, Toshiyuki Amagasa and Akiyoshi Matono

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List of Publications

2023.02.02

Haoyi Xiu, Xin Liu, Weimin Wang, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, and Masashi Matsuoka

DS-Net: A Dedicated Approach for Collapsed Building Detection from Post-Event Airborne Point Clouds, International Journal of Applied Earth Observation and Geoinformation, Volume 116, Pages 103150, February 2023, ISSN 1569-8432

DOI: https://doi.org/10.1016/j.jag.2022.103150

2023.01.25

Sunil Kumar Maurya, Xin Liu, and Tsuyoshi Murata

Feature Selection: Key to Enhance Node Classification with Graph Neural Networks, CAAI Trans 2023, Volume 8, ISSUE 1, Pages 14-28, January 2023, ISSN 2468-2322

DOI: https://doi.org/10.1049/cit2.12166

2023.01.10

Haoyi Xiu, Xin Liu, Weimin Wang, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka

Optimizing Local Feature Representations with Anisotropic Edge Modeling for 3D Point Cloud Understanding, MMM 2023, Volume 13833, Pages 269-281, January 2023, ISBN 978-3-031-27076-5

DOI: https://doi.org/10.1007/978-3-031-27077-2_21

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Researcher Profile

Name and role	Field of Expertise	E-mail address　HP
Team Leader Akiyoshi Matono	Data Engineering, Database, Parallel Distributed Processing, Semi-structured Data, Query Processing	a.matono【at】aist.go.jp
Senior Researcher Steven Lynden	Data Integration, Knowledge Graphs, Semantic Web, Data Mining	steven.lynden【at】aist.go.jp
Chief Senior Researcher Xin Liu	Graph & Network Analytics, Data Mining, Machine Learning, and Deep Learning	xin.liu【at】aist.go.jp https://staff.aist.go.jp/xin.liu/
Senior Researcher Shaikh Salman Ahmed	Big Data Processing/Analysis, Real-time (Data Stream) Processing/Analysis, Distributed Data Processing, Online Analytical Processing (OLAP)	shaikh.salman【at】aist.go.jp https://sites.google.com/view/salmanshaikh/
Researcher Taehoon Kim	Spatio-temporal Database, Indoor Location-based Sevices	kim.taehoon【at】aist.go.jp
Senior Researcher Jokinen Kristiina	Human-robot interaction, Conversational AI, dialogue management, multimodal interaction	kristiina.jokinen【at】aist.go.jp
Invited Researcher Hiroyuki Kitagawa	Databases, Data Integration, Stream Processing, Data Mining, Social Media Analysis, Information Retrieval, Scientific Databases	kitagawa.h【at】asit.go.jp https://www.kde.cs.tsukuba.ac.jp/~kitagawa/
PostDoc Xiu Haoyi	3D point cloud processing using deep learning, remote sensing	hiroki-shuu【at】aist.go.jp
Research Assistant Masaya Yamada	Data Traceability, Big Data Processing, Stream Data Processing	m.yamada【at】aist.go.jp
Research Assistant Takdir Takdir	Distributed Systems, Data Stream Processing, Big Data Infrastructure	takdir-aist【at】aist.go.jp
Research Assistant Jodelet Quentin	Incremental learning, Computer vision	jodelet.quentin【at】aist.go.jp
Research Assistant John Bosco Mugeni	Data integration, Entity matching, Natural language processing	Bosco【at】aist.go.jp
Research Assistant Mori Taiga	Multimodal interaction, Corpus linguistics, Dialogue system	mori-taiga【at】aist.go.jp
Research Assistant Kim Deokryong	Graph Neural Network, few-shot learning, Machine learning	kim.d【at】aist.go.jp
Research Assistant Lagahit Miguel	Photogrammetry, LiDAR Remote Sensing, Mobile Mapping, and GeoAI	miguel.lagahit【at】aist.go.jp https://sites.google.com/view/miguellagahit/
Research Assistant Ohmori Yuuki	Knowledge Graph, Data Integration, Big Data Processing	mask.oomori 【at】aist.go.jp
Research Assistant Prasetya Hafizh	Graph Mining, Graph Fraud Detection	hafizhadi.prasetya【at】aist.go.jp hafizh 【at】net.c.titech.ac.jp
Research Assistant Ali Ushtar	Natural Language Processing, Knowledge Graphs and Large Language Models	ushtar.ali【at】aist.go.jp
Technical Staff Wijae Cho	Open Source Development	cho-wijae【at】aist.go.jp
Technical Staff Komal Mariam	Computer Vision, Machine Learning, Stream Processing of Spatio-Temporal Data, Gaze Tracking	komal.mariam【at】aist.go.jp
Guest Researcher Tsuyoshi Murata	Network science, Machine learning, Web mining	murata【at】c.titech.ac.jp http://www.net.c.titech.ac.jp/murata.html