Publications (2018)

Journal

1.Yuyang Dong, Hanxiong Chen, Kazutaka Furuse, Hiroyuki Kitagawa,
"Efficient Methods for Aggregate Reverse Rank Queries",
IEICE Transactions on Information and Systems , 101 (4), 1012-1020, 2018.
2.Yuta Kusamura, Toshiyuki Amagasa, Hiroyuki Kitagawa, Yusuke Kozawa,
"Efficient Position Estimation based on GPU-Accelerated Content-based Image Retrieval",
Journal of Mobile Multimedia (JMM) , Vol.14,Iss.2,pp.197-230, April 2018.
3.Masafumi Oyamada, Jianquan Liu, Shinji Ito, Kazuyo Narita, Takuya Araki, Hiroyuki Kitagawa,
"Compressed Vector Set: A Fast and Space-Efficient Data Mining Framework",
Journal of Information Processing , Vol.26, pp. 416-426, 2018.
DOI:https://doi.org/10.2197/ipsjjip.26.416.
4.Salman Ahmed Shaikh, Yousuke Watanabe, Yan Wang, and Hiroyuki Kitagawa,
"Smart Scheme: An Efficient Query Execution Scheme for Event-driven Stream Processing",
Knowledge and Information Systems, Springer , April 2018 (Published online) (Impact Factor 2.004).
5.Yuyang Dong, Hanxiong Chen, Jeffery Xu Yu, Kazutaka Furuse and Hiroyuki Kitagawa,
"Weighted Aggregate Reverse Rank Queries",
ACM Transactions on Spatial Algorithms and Systems (TSAS) , Volume 4 Issue 2, 5:1-5:23, 2018.
6.Yuyang Dong, Hanxiong Chen, Kazutaka Furuse, Hiroyuki Kitagawa,
"Bound-and-filter Framework for Aggregate Reverse Rank Queries",
Transactions on Large-Scale Data and Knowledge-Centered Systems. Special Issue on Database and Expert Systems Applications (TLDKS) XXXVIII , pp.1-26, 2018.
7.Eiichi Iwamoto, Masaki Matsubara, Chihiro Ota, Tsutomu Terada, Satoshi Nakamura, Hiroyuki Kitagawa, and Atsuyuki Morishima,
"Passerby Crowdsourcing: Workers' Behavior and Data Quality Management",
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies , pp.169:1--169:20, 2018.
8.Keitaro Kume, Toshiyuki Amagasa, Tetsuo Hashimoto, Hiroyuki Kitagawa,
"NommPred: Prediction of Mitochondrial and Mitochondrion-Related Organelle Proteins of Nonmodel Organisms",
Evolutionary Bioinformatics , Vol.14, December 2018 (Published online). (Impact Factor 1.877).

Conference

1.Hiroyoshi Ito, Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa,
"Network-Word Embedding for Dynamic Text Attributed Networks",
Proc. Sixth International Workshop on Semantic Computing for Social Networks and Organization Science with Twelfth IEEE ICSC (SCSN 2018) , pp.334-339, Laguna Hills, USA, January 31-Feburary 2, 2018.
2.Hiroyoshi Ito, Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa,
"Community Detection and Correlated Attribute Cluster Analysis on Multi-Attributed Graphs",
Proc. 2nd International Workshop on Data Analytics Solutions for Real-Life Applications with 21st EDBT/ICDT Joint Conference (DARLI-AP 2018) , pp.2-9, Vienna, Austria, March 26-29, 2018.
3.Shuta Nakamae, Wataru Sakamoto, Tetsuya Negishi, Shuhei Goto, Buntarou Shizuki, Chiemi Watanabe, and Toshiyuki Amagasa,
"A Development of Participatory Sensing System for Foreign Visitors in PBL",
Proc. 10th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2018) , Dong Hoi City, Vietnam, March 19-21, 2018.
4.Hiroaki Shiokawa, Tomokatsu Takahashi and Hiroyuki Kitagawa,
"ScaleSCAN: Scalable Density-based Graph Clustering",
Proc. 29th International Conference on Database and Expert Systems Applications (DEXA 2018) , pp.18-34, Regensburg, Germany, September 2018 (Acceptance rate 21 %).
5.Kenta Sugano, Toshiyuki Amagasa and Hiroyuki Kitagawa,
"Approximate Set Similarity Join using Many-core Processors",
Proc. 29th International Conference on Database and Expert Systems Applications (DEXA 2018) (Short Paper), pp.214-222, Regensburg, Germany, September 2018 (Acceptance rate 32 %).
6.Kotaro Yamazaki, Tomoki Sato, Hiroaki Shiokawa and Hiroyuki Kitagawa,
"Fast Algorithm for Integrating Clustering with Ranking on Heterogeneous Graphs",
Proc. 20th International Conference on Information Integration and Web-based Applications and Services (iiWAS 2018) , Yogyakarta, Indonesia, November 2018..
7.Tomohiro Matsushita, Hiroaki Shiokawa and Hiroyuki Kitagawa,
"C-AP: Cell-based Algorithm for Efficient Affinity Propagation",
Proc. 20th International Conference on Information Integration and Web-based Applications and Services (iiWAS 2018) , Yogyakarta, Indonesia, November 2018..
8.Hiroaki Shiokawa and Yasunori Futamura,
"Graph Clustering via Cohesiveness-aware Vector Partitioning",
Proc. 20th International Conference on Information Integration and Web-based Applications and Services (iiWAS 2018) , Yogyakarta, Indonesia, November 2018..
9.Ken Mizusawa, Keishi Tajima, Masaki Matsubara, Toshiyuki Amagasa, Atsuyuki Morishima,
"Efficient Pipeline Processing of Crowdsourcing Workflows",
Proc. 27th ACM International Conference on Information and Knowledge Management (CIKM 2018) (short Paper), pp.1559-1562, Torino, Italy, October 22-26, 2018 (Acceptance rate 23 %).
10.Yusuke Suzuki, Masaki Matsubara, Keishi Tajima, Toshiyuki Amagasa, Atsuyuki Morishima,
"A Cache-based Approach to Dynamic Switching between Different Dataflows in Crowdsourcing",
In Proceedings of The Second IEEE Workshop on Human-in-the-loop Methods and Human Macine Collaboration in BigData (IEEE HMData2018) , pp.3551-3553, Seattle, USA, December 10-13, 2018.

Poster Presentation (Domestic)

1.Tomoki Sato, Hiroaki Shiokawa, Yuto Yamaguchi, Hiroyuki Kitagawa,
"FORank: Fast ObjectRank for Large Heterogeneous Graphs",
In Companion Proceedings of the The Web Conference 2018 (WWW 2018) , pp.103-104, Lyon, France, April 23-27, 2018 (Acceptance rate 35 %).

Keynote/Invited talk/Panelist

1.Hiroyuki Kitagawa,
"Towards Ubiquitous Big Data Analytics and Management: Research Issues and Challenges",
The 6th International Conference on Big Data Applications and Services (BIGDAS2018) (Keynote Talk) , Zhengzhou, China, August 20, 2018.
2.Hiroyuki Kitagawa,
"Machine Learning Approach to Automated Sleep Stage Analysis",
The 10th Symposium on Discovery, Fusion, Creation of New Knowledge by Multidisciplinary Computational Sciences (Invited Talk) , University of Tsukuba, Japan, October 16, 2018.