Publications (2019)

Journal

1.Savong Bou, Toshiyuki Amagasa, Hiroyuki Kitagawa,
"Scalable Keyword Search over Relational Data Streams by Aggressive Candidate Network Consolidation",
Information Systems - ELSEVIER, Vol. 81, Iss. C, pp. 117-135, 2019, (Impact Factor 2.551) , March 2019.
DOI:https://doi.org/10.1016/j.is.2018.12.004.
2.Hiroyoshi Ito, Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa,
"Detecting Communities and Correlated Attribute Clusters on Multi-Attributed Graphs",
IEICE Transactions on Information and Systems , VOL.E102-D, NO.4,pp.810-820, APRIL 2019.
3.Kazuha Ashino, Kenta Sugano, Toshiyuki Amagasa,and Bei-Wen Ying,
"Predicting the decision making chemicals used for bacterial growth",
Scientific Reports , Vol. 9, No. 7251, May 2019.
4.Masato Yamabe, Kazumasa Horie, Hiroaki Shiokawa, Hiromasa Funato, Masashi Yanagisawa and Hiroyuki Kitagawa,
"MC-SleepNet: Large-scale Sleep Stage Scoring in Mice by Deep Neural Networks",
Scientific Reports , Vol. 9, No. 15793, Oct. 2019. (Impact Factor 4.011)
DOI:https://doi.org/10.1038/s41598-019-51269-8.
5.Hiroaki Shiokawa, Yasunori Futamura,
"Efficient Vector Partitioning Algorithm for Modularity-based Graph Clustering",
Journal of Data Intelligence , Vol.1, No.2, pp.101-123, June 2019.
6.Kotaro Yamazaki, Tomoki Sato, Hiroaki Shiokawa, Hiroyuki Kitagawa,
"Fast and Parallel Ranking-based Clustering for Heterogeneous Graphs",
Journal of Data Intelligence , Vol.1, No.2, pp.137-158, June 2019.
7.Hiroaki Shiokawa, Tomohiro Matsushita, Hiroyuki Kitagawa,
"Fast Affinity Propagation by Cell-based Indexing",
Journal of Data Inteligence , Vol.1, No.1, pp.55-74, April 2019.

Conference

1.Sang Le, Yuyang Dong, Hanxiong Chen, Kazutaka Furuse,
"Balanced Nearest Neighborhood Query in Spatial Database",
Proc. 6th IEEE International Conference on Big Data and Smart Computing(BigComp 2019) (Short Paper), 4 pages, Kyoto, Japan, February 27th - March 2nd 2019.
DOI:10.1109/BIGCOMP.2019.8679425.
2.Hiroyoshi Ito, Toshiyuki Amagasa,(Best Paper Award Runner-up)
"An Optimization Scheme for Non-negative Matrix Factorization under Probability Constraints",
Proc. 6th IEEE International Conference on Big Data and Smart Computing (BigComp 2019) , 8 pages, Kyoto, Japan, February 27th - March 2nd 2019.
DOI:10.1109/BIGCOMP.2019.8679467.
3.Savong Bou, Hiroaki Shiokawa, Yasuhiro Hayase, Hiroyuki Kitagawa,
"StreamingCube-based Analytical Framework for Environmental Data Analysis",
Proc. 1st International Workshop on Big data, cloud, and IoT technologies for smart cities (IWBigDataCity 2019), co-located with 6th IEEE International Conference on Big Data and Smart Computing (BigComp 2019) , 8 pages, Kyoto, Japan, February 27th - March 2nd 2019.
DOI:10.1109/BIGCOMP.2019.8679149.
4.Yuki Yasusaka, Chiemi Watanabe, Hiroyuki Kitagawa,
"Privacy-Preserving Pre-Consensus Protocol for Blockchains",
Proc. x1st International Workshop on Big data, cloud, and IoT technologies for smart cities (IWBigDataCity 2019), co-located with 6th IEEE International Conference on Big Data and Smart Computing (BigComp 2019) , 8 pages, Kyoto, Japan, February 27th - March 2nd 2019.
DOI:10.1109/BIGCOMP.2019.8679137.
5.Yuyang Dong, Hanxiong Chen, Hiroyuki Kitagawa,
"Continuous Search on Dynamic Spatial Keyword Objects",
Proc. 35th IEEE International Conference on Data Engineering (ICDE 2019) (Short Paper), pp. 1578-1581, Macau SAR, China, April 2019.
DOI:10.1109/ICDE.2019.00146.
6.Hiroaki Shiokawa, Toshiyuki Amagasa, Hiroyuki Kitagawa,
"Scaling Fine-grained Modularity Clustering for Massive Graphs",
In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI2019) (Full Paper), Macao, China, August 2019 (Acceptance rate 13.67 %).
7.Katia Bourahmoune, Toshiyuki Amagasa,
"AI-powered Posture Training: Application of Machine Learning in Sitting Posture Recognition Using the LifeChair Smart Cushion",
In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI2019) (Full Paper), Macao, China, August 2019 (Acceptance rate 13.67 %).
8.Kento Miura, Toshiyuki Amagasa, Hiroyuki Kitagawa,
"Accelerating Regular Path Queries using FPGA",
Tenth International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures, in conjunction with VLDB (ADMS2019) , Los Angeles, United States, August 26, 2019.
9.Yuya Nasu, Hiroyuki Kitagawa, Kosuke Nakabasami,
"Efficient Row Pattern Matching using Pattern Hierarchies for Sequence OLAP",
Proc. 21st International Conference on Big Data Analytics and Knowledge Discovery (DaWak2019) , pp. 89-104, Linz, Austria, August 26-29 2019 (Acceptance rate 20 %).
10.Kosuke Nakabasami, Hiroyuki Kitagawa, and Yuya Nasu,
"Optimization of Row Pattern Matching over Sequence Data in Spark SQL",
Proc. 30th International Conference on Database and Expert Systems Applications (DEXA2019) , pp. 3-17, Linz, Austria, August 26th - 29th 2019.
11.Happy Buzaaba, Toshiyuki Amagasa,
"A modular approach for efficient simple question answering over knowledge base",
Proc. 30th International Conference on Database and Expert Systems Applications (DEXA2019) , pp. 237-246, Linz, Austria, August 26-29 2019.
12.Yuki Sumiya, Kazumasa Horie, Hiroaki Shiokawa, Hiroyuki Kitagawa,(Best Presentation Award)
"NR-GAN: Noise Reduction GAN for Mice Electroencephalogram Signals",
Proc. 4th International Conference on Biomedical Imaging, Signal Processing (ICBSP 2019) , pp. 94-101, Nagoya, Japan, October 17-19 2019.
13.Shohei Matsugu, Hiroaki Shiokawa, Hiroyuki Kitagawa,
"Flexible Community Search Algorithm on Attributed Graphs",
In Proceedings of the 21st International Conference on Information Integration and Web-based Applications and Services (iiWAS2019) (Full Paper), pp. 103-109, Munich, Germany, December 2019 (Acceptance rate 48 %).
14.Kotaro Yamazaki, Shohei Matsugu, Hiroaki Shiokawa, Hiroyuki Kitagawa,
"Fast RankClus Algorithm via Dynamic Rank Score Tracking on Bi-type Information Networks",
In Proceedings of the 21st International Conference on Information Integration and Web-based Applications and Services (iiWAS2019) (Full Paper), pp. 110-117, Munich, Germany, December 2019 (Acceptance rate 48 %).
15.Shintaro Kurimoto, Yasuhiro Hayase, Hiroshi Yonai, Hiroyoshi Ito, Hiroyuki Kitagawa,
"Class Name Recommendation based on Graph Embedding of Program Elements",
In Proceedings of the 26th Asia-Pacific Software Engineering Conference (APSEC2019) (Full Paper) , pp. 498-505, Putrajaya, Malaysia, December 2-5 2019 (Acceptance rate 34.7 %).
16.Hiroshi Yonai, Yasuhiro Hayase, Hiroyuki Kitagawa,
"Mercem: Method Name Recommendation Based on Call Graph Embedding",
In Proceedings of the 26th Asia-Pacific Software Engineering Conference (APSEC2019) (Full Paper) , pp. 134-141, Putrajaya, Malaysia, December 2-5 2019 (Acceptance rate 34.7 %).
17.Masafumi Hayashi, Masaki Kobayashi, Masaki Matsubara, Toshiyuki Amagasa, Atsuyuki Morishima,
"Incentive Design for Crowdsourced Development of Selective AI for Human and Machine Data Processing: A Case Study",
Proc. 3rd IEEE Workshop on Human-in-the-loop Methods and Human Machine Collaboration in BigData (IEEE HMData 2019), co-located with IEEE Bigdata 2019 , pp. 4596-4601, Los Angeles, USA, December 9, 2019.

Poster Presentation (Domestic)

1.Mirai Niki, Yoshiki Yamaguchi and Toshiyuki Amagasa,
"FPGA-based SPARQL query acceleration",
In Proceedings of Asia Pacific Conference on Robot IoT System Development and Platform (APRIS 2019) , 2 pages, Thailand, November 1-4, 2019.

Keynote/Invited talk/Panelist

1.Hiroyuki Kitagawa,
"Big Data Analytics and Management: Perspectives from Big Sequence Data Analysis and Research Projects in Japan",
The 36th CCF National Database Conference (NDBC2019) (Keynote Talk) , Jinan, China, October 13, 2019.

misc

1.Salman Ahmed Shaikh, Kousuke Nakabasami, Toshiyuki Amagasa, and Hiroyuki Kitagawa,
"Multidimensional Analysis of Big Data",
in "Emerging Perspectives in Big Data Warehousing" (David Taniar and Wenny Rahayu (Eds.)) ,
pp. 198-224, IGI Global, 2019.
doi:10.4018/978-1-5225-5516-2.ch009.