Baoqing WANG

 

as of September 2021

Affiliation Graduate School of Science and Technology
―Doctor course 3rd year
Team Applied Visualization
Research theme Computational Forensics
E-mail wangbaoqingkeio.jp
Website

Journals

  1. Baoqing Wang, Lu Yang, Nian Tang, Zhenzhong Liu, Haibo Zhou: “Design of Open CNC Motion Control System Based on PC104 Main Controller,” Heavy Machinery, No.3, pp. 62―66, June. 2018 [link]
  2. Lu Yang, Baoqing Wang, Ronghui Zhang, Haibo Zhou, Rongben Wang: “Analysis on Location Accuracy for the Binocular Stereo Vision System,” IEEE Photonics Journal, Vol. 10, No. 1, pp. 1―16, February 2018 [doi: 10.1109/JPHOT.2017.2784958].
  3. Baoqing Wang, Yume Asayama, Malik Olivier Boussejra, Hideki Shojo, Noboru Adachi, Issei Fujishiro: “FORSETI: a visual analysis environment for authoring autopsy reports in extended legal medicine mark-up language,” The Visual Computer, (), 1-13. (Online First) [doi: 10.1007/s00371-021-02201-7].

        Presentations

        1. Yume Asayama, Baoqing Wang, Masanori Nakayama, Hideki Shohjoh, Noburu Adachi, Yasushi Kiyoki, Issei Fujishiro: “THEMIS: Context-sensitive similarity analysis for wound imagery using mathematical model of meaning,” in Proceedings of the 2021 International Conference on Cyberworlds, Caen, France, September 28―30, 2021 [doi: 10.1109/CW52790.2021.00028].
        2. Baoqing Wang, Yume Asayama, Issei Fujishiro: “FORSETI and THEMIS: visual analysis environment for computational forensics,” The 4th China-Japan Joint Visualization Workshop, Wuhan, China, online, July 24th, 2021.
        3. Issei Fujishiro, Baoqing Wang, Yume Asayama, Malik Olivier Boussejra, Hideki Shojo, Noboru Adachi: “FORSETI: a visual analysis environment for authoring autopsy reports in extended legal medicine mark-up language,” invited by the Workshop in Memory of Professor Kunii  in conjunction with CGI 2021, online, September 6, 2021 [Link].

        Domestic conferences

        1. Yume Asayama, Baoqing Wang, Masanori Nakayama, Hideki Shojo, Noboru Adachi, Yasushi Kiyoki, Issei Fujishiro: “Visual analysis of wound similarity using mathematical model of meaning,” in Proceedings of the 48th Symposium on Visualization in Japan, Online,  September 24―26, 2020(in Japanese).
        2. Yume Asayama, Baoqing Wang, Malik Olivier Boussejra, Masanori Nakayama, Hideki Shojo, Noboru Adachi, Yasushi Kiyoki, Issei Fujishiro: “Visual analysis of wound similarity using mathematical model of meaning,” in Proceedings of the 82th National Convention of International Processing Society of Japan, Vol. 2, pp. 155―156, Kanazawa Institute of Technology, Ishikawa, March 5―7, year (in Japanese).