Japanese / English

Biography

Yusuke Kozawa is a postdoctoral researcher of Artificial Intelligence Cloud Research Team at Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology (AIST), Japan. He received B.Sc., M.Eng., and Ph.D. degrees from University of Tsukuba, Japan, in 2011, 2013, and 2016, respectively, under the supervision of Prof. Hiroyuki Kitagawa. His research interests include databases, data mining, and parallel computing. More specifically, he is interested in the following topics:

Publications

Journal
  1. Mateus S. H. Cruz, Yusuke Kozawa, Toshiyuki Amagasa, and Hiroyuki Kitagawa,
    “Accelerating Set Similarity Joins Using GPUs,”
    Trans. Large-Scale Data- and Knowledge-Centered Syst. XXVIII, pp. 1–22, Sept. 2016. [Springer]
  2. Yusuke Kozawa, Toshiyuki Amagasa, and Hiroyuki Kitagawa,
    “Probabilistic Frequent Itemset Mining on a GPU Cluster,”
    IEICE Trans. Inf. & Syst., Vol. E97-D, No. 4, pp. 779–789, Apr. 2014. [IEICE]

Conference and Workshop
  1. Yusuke Kozawa, Toshiyuki Amagasa, and Hiroyuki Kitagawa,
    “GPU-Accelerated Graph Clustering via Parallel Label Propagation,”
    Proc. 26th ACM Int'l Conf. Information and Knowledge Management (CIKM '17),
    pp. xx–xx, Singapore, Nov. 6–10, 2017. (to appear) [Acceptance rate: 21%]
  2. Yuta Kusamura, Yusuke Kozawa, Toshiyuki Amagasa, and Hiroyuki Kitagawa,
    “GPU Acceleration of Content-based Image Retrieval based on SIFT Descriptors,”
    Proc. 19th Int'l Conf. Network-Based Information Systems (NBiS '16),
    pp. 342–347, Ostrava, Czech Republic, Sept. 7–9, 2016. [IEEE]
  3. Yusuke Kozawa, Fumitaka Hayashi, Toshiyuki Amagasa, and Hiroyuki Kitagawa,
    “Parallel Canopy Clustering on GPUs,”
    Proc. 26th Int'l Conf. Database and Expert Systems Applications (DEXA '15),
    pp. 334–348, Valencia, Spain, Sept. 1–4, 2015. [Springer]
  4. Mateus S. H. Cruz, Yusuke Kozawa, Toshiyuki Amagasa, and Hiroyuki Kitagawa,
    “GPU Acceleration of Set Similarity Join,”
    Proc. 26th Int'l Conf. Database and Expert Systems Applications (DEXA '15),
    pp. 384–398, Valencia, Spain, Sept. 1–4, 2015. [Springer]
  5. Jun Hwang, Yusuke Kozawa, Toshiyuki Amagasa, and Hiroyuki Kitagawa,
    “GPU Acceleration of Similarity Search for Uncertain Time Series,”
    Proc. 17th Int'l Conf. Network-Based Information Systems (NBiS '14),
    pp. 627–632, Salerno, Italy, Sept. 10–12, 2014. [IEEE]
  6. Yusuke Kozawa, Toshiyuki Amagasa, and Hiroyuki Kitagawa,
    “Parallel and Distributed Mining of Probabilistic Frequent Itemsets Using Multiple GPUs,”
    Proc. 24th Int'l Conf. Database and Expert Systems Applications (DEXA '13) (short paper),
    pp. 145–152, Prague, Czech Republic, Aug. 26–30, 2013. [Springer]
  7. Yusuke Kozawa, Toshiyuki Amagasa, and Hiroyuki Kitagawa,
    “GPU Acceleration of Probabilistic Frequent Itemset Mining from Uncertain Databases,”
    Proc. 21st ACM Int'l Conf. Information and Knowledge Management (CIKM '12),
    pp. 892–901, Maui, Hawaii, Oct. 29–Nov. 2, 2012. [Acceptance rate: 13.4%] [ACM]
  8. Yusuke Kozawa, Toshiyuki Amagasa, and Hiroyuki Kitagawa,
    “Fast Frequent Itemset Mining from Uncertain Database Using GPGPU,”
    Proc. Fifth Int'l VLDB Workshop on Management of Uncertain Data (MUD '11),
    pp. 17–24, Seattle, Washington, Aug. 29, 2011. [Proceedings]

Miscellany

Affiliation
Artificial Intelligence Cloud Research Team
Artificial Intelligence Research Center
National Institude of Advanced Industrial Science and Technology

Dissertation and Theses
  1. Doctoral dissertation
    “A Study on GPU-Accelerated Data Analysis Techniques”
  2. Master thesis
    “A Study on GPU Acceleration of Frequent Itemset Mining over Uncertain Databases”
    (Award from Chair of Department of Computer Science)
  3. Bachelor thesis (Japanese)
    「GPGPUを用いた不確定データベースからの高速な頻出アイテム集合の抽出」
    (心青会賞受賞)

Contact

E-mail
yusuke.kozawa __at__ aist.go.jp