Ryosuke Kojima's Page

Development

Open-sourced robot audition software ：HARK
- used in [t2][c1] for sound source localization and separation
- I'm a lecturer in the 11th, 12th, and 13th HARK seminars and 4th HARK hackathon
A probabilistic programming language：PRISM
- used in [t1] for preference learning for and knowledge graph
- used in [t2] for probability computations on the hierarchical hidden Markov model (HHMM)
- used in [t3][t4] for the prefix probability computation on the probabilistic context-free grammar (PCFG)
- I'm a developer (ver. 2.2 or later)

Biography

2012: received a B.E. in computer science in 2012 from the Tokyo Institute of technology
2014: received an M.E. in information science and engineering in 2014 from the Tokyo Institute of technology
2017: received a Ph.D.(engineering) in information science and engineering in 2017 from the Tokyo Institute of technology
2017: currently a program-specific associate professor (AMED) at Kyoto University

Journal

@article{kojima2018ijar,
title = {Learning to rank in PRISM},
journal = {International Journal of Approximate Reasoning},
volume = {93},
pages = {561 - 577},
year = {2018},
url = "http://www.sciencedirect.com/science/article/pii/S0888613X17303596",
author = "Ryosuke Kojima and Taisuke Sato",
}

@article{kojima2017jrm,
  title={Bird Song Scene Analysis Using a Spatial-Cue-Based Probabilistic Model},
  author={Kojima, Ryosuke and Sugiyama, Osamu and Hoshiba, Kotaro and Nakadai, Kazuhiro and Suzuki, Reiji and Taylor, Charles E.},
  journal={Journal of Robotics and Mechatronics},
  volume={29},
  number={1},
  year={2017},
  publisher={Fujipress},
  url="https://www.fujipress.jp/jrm/rb/robot002900010236/"
}

@article{kojima2016multimodal,
  title={Multimodal Scene Understanding Framework and Its Application to Cooking Recognition},
  author={Kojima, Ryosuke and Sugiyama, Osamu and Nakadai, Kazuhiro},
  journal={Applied Artificial Intelligence},
  volume={30},
  number={3},
  pages={181--200},
  year={2016},
  publisher={Taylor \& Francis},
  url="http://www.tandfonline.com/doi/abs/10.1080/08839514.2016.1156461"
}

@incollection{kojima2015goal,
  title={Goal and Plan Recognition via Parse Trees Using Prefix and Infix Probability Computation},
  author={Kojima, Ryosuke and Sato, Taisuke},
  booktitle={Inductive Logic Programming},
  pages={76--91},
  year={2015},
  publisher={Springer},
  url="http://link.springer.com/chapter/10.1007%2F978-3-319-23708-4_6"
  
}

@article{sugiyama2017outdoor,
  title={Outdoor Acoustic Event Identification with DNN Using a Quadrotor-Embedded Microphone Array (Special Issue on Robot Audition Technologies)},
  author={Sugiyama, Osamu and Uemura, Satoshi and Nagamine, Akihide and Kojima, Ryosuke and Nakamura, Keisuke and Nakadai, Kazuhiro},
  journal={Journal of robotics and mechatronics},
  volume={29},
  number={1},
  pages={188--197},
  year={2017},
  publisher={Fuji Technology Press},
  url="https://www.fujipress.jp/jrm/rb/robot002900010188/"
}

@article{hoshiba2017jrm,
  title={Design and Assessment of Sound Source Localization System with a UAV-embedded Microphone Array},
  author={Kotaro Hoshiba and Osamu Sugiyama and Akihide Nagamine and Ryosuke Kojima and Makoto Kumon and Kazuhiro Nakadai},
  journal={Journal of Robotics and Mechatronics},
  volume={29},
  number={1},
  year={2017},
  publisher={Fujipress},
  url="https://www.fujipress.jp/jrm/rb/robot002900010154/"
}

@article{ohata2017jrm,
  title={Outdoor Sound Source Detection for a Quadrotor with a Microphone Array},
  author={Takuma Ohata and Keisuke Nakamura and Akihide Nagamine and Takeshi Mizumoto and Takayuki Ishizaki and Ryosuke Kojima and Osamu Sugiyama and Kazuhiro Nakadai},
  journal={Journal of Robotics and Mechatronics},
  volume={29},
  number={1},
  year={2017},
  publisher={Fujipress},
  url="https://www.fujipress.jp/jrm/rb/robot002900010177/"
}

@article{Matsubayashi2017jrm,
  title={Acoustic monitoring of the great reed warbler using multiple microphone arrays and robot audition},
  author={Shiho Matsubayashi and Reiji Suzuki and Fumiyuki Saito and Tatsuyoshi Murate and Tomohisa Masuda and Koichi Yamamoto and Ryosuke Kojima and Kazuhiro Nakadai and Hiroshi G. Okuno},
  journal={Journal of Robotics and Mechatronics},
  volume={29},
  number={1},
  year={2017},
  publisher={Fujipress},
  url="https://www.fujipress.jp/jrm/rb/robot002900010224/"
}

Conference and workshop

@inproceedings{kojima2017dsaa,
  title={A Spatial-Cue-Based Probabilistic Model for Bird Song Scene Analysis},
  author={Ryosuke Kojima and Osamu Sugiyama and Kotaro Hoshiba and Reiji Suzuki and Kazuhiro Nakadai},
  howpublished={International Conference on Data Science and Advanced Analytics (DSAA)},
  year={2017},
  month={Oct.},
  place={Tokyo},
  organization={IEEE},
}

@inproceedings{kojima2016iros,
  title={Semi-Automatic Bird Song Analysis by Spatial-Cue-Based Integration of Sound Source Detection, Localization, Separation, and Identification},
  author={Kojima, Ryosuke and Sugiyama, Osamu and Suzuki, Reiji and Nakadai, Kazuhiro and Taylor, Charles E.},
  howpublished={Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International Conference on},
  year={2016},
  month={Oct.},
  place={Daejeon},
  organization={IEEE}
}

@inproceedings{kojima2015audio,
  title={Audio-visual scene understanding utilizing text information for a cooking support robot},
  author={Kojima, Ryosuke and Sugiyama, Osamu and Nakadai, Kazuhiro},
  howpublished={Intelligent Robots and Systems (IROS), 2015 IEEE/RSJ International Conference on},
  pages={4210--4215},
  year={2015},
  organization={IEEE},
  month={Sep.},
  place={Hamburg},
  url="http://honda-ri.jp/publications/1160"
}

@inproceedings{Kojima_2015_1166,
  title = {Scene understanding based on sound and text information for a cooking support robot},
  author = {Kojima, Ryosuke and Sugiyama, Osamu and Nakadai, Kazuhiro},
  year = {2015},
  month = {Jun.},
  howpublished = {Current Approaches in Applied Artificial Intelligence: 28th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2015, Seoul, South Korea},
  pages = {665-674},
  publisher = {Springer International Publishing},
  url = {http://rd.springer.com/chapter/10.1007/978-3-319-19066-2_64},
}

@article{kojimagoal,
  title={Goal recognition from incomplete action sequences by probabilistic grammars},
  author={Kojima, Ryosuke and Sato, Taisuke},
  howpublished={the 24th International Conference on Inductive Logic Programming(short paper)},
  year={2014},
  place={Nancy},
  url="https://dtai.cs.kuleuven.be/events/ilp2014/p36.php",
}

@misc{kojimaprefix,
  title={Prefix and infix probability computation in PRISM},
  author={Kojima, Ryosuke and Sato, Taisuke},
  howpublished={Probabilistic Logic Programming 2014, An ICLP workshop},
  year={2014},
  place={Vienna},
  url = "http://stoics.org.uk/plp/plp2014/papers/",
  slide = "http://stoics.org.uk/plp/slides/Kojima.pdf",
}

@misc{Kojima14med,
  title={Analysis of Medical Records by Generative Models},
  author={Kojima, R. and Sato, T.},
  howpublished={Workshop on MDP/POMDP Applications to Medical Data},
  year={2014},
  place={Tokyo},
  url = "\url{https://staff.aist.go.jp/h.asoh/medical-data/workshop.html}",
}

Other conference and workshop

@inproceedings{kamada2017swat,
  title={Construction of Knowledge-base for Clinical Interpretation of Genomic Variants},
  author={Mayumi Kamada and Toshiaki Katayama and Shuichi Kawashima and Ryosuke Kojima and Masahiko Nakatsui and Yasushi Okuno},
  booktitle={Semantic Web Applications and Tools for the Life Sciences (SWAT4LS)},
  url="http://www.swat4ls.org/wp-content/uploads/2017/12/paper_43.pdf",
  year={2017},
}

@inproceedings{nakadai2017iros, 
author={K. Nakadai and M. Kumon and H. G. Okuno and K. Hoshiba and M. Wakabayashi and K. Washizaki and T. Ishiki and D. Gabriel and Y. Bando and T. Morito and R. Kojima and O. Sugiyama}, 
booktitle={2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)}, 
title={Development of microphone-array-embedded UAV for search and rescue task}, 
year={2017}, 
pages={5985-5990}, 
doi={10.1109/IROS.2017.8206494}, 
month={Sept},
}

@inproceedings{morito2016iros,
  title={Partially Shared Deep Neural Network in Sound Source Separation and Identification Using a UAV-Embedded Microphone Array},
  author={Morito, Takayuki and Sugiyama, Osamu and Kojima, Ryosuke and Nakadai, Kazuhiro},
  booktitle={Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International Conference on},
  year={2016},
  organization={IEEE}
}

@inproceedings{morito16ieaaie,
  author    = {Morito, Takayuki and
               Sugiyama, Osamu  and
               Uemura, Satoshi and
               Kojima, Ryosuke and
               Nakadai, Kazuhiro},
  title     = {Reduction of Computational Cost Using Two-Stage Deep Neural Network
               for Training for Denoising and Sound Source Identification},
  booktitle = {Trends in Applied Knowledge-Based Systems and Data Science - 29th
               International Conference on Industrial Engineering and Other Applications
               of Applied Intelligent Systems, {IEA/AIE} 2016, Morioka, Japan, August
               2-4, 2016, Proceedings},
  pages     = {562--573},
  year      = {2016},
  url       = {http://dx.doi.org/10.1007/978-3-319-42007-3_49},
  doi       = {10.1007/978-3-319-42007-3_49},
}

@inproceedings{Uemura_2015_1172,
  title = {Outdoor Acoustic Event Identification using Sound Source Separation and Deep Learning with a Quadrotor-Embedded Microphone Array},
  author = {Uemura, Satoshi and Sugiyama, Osamu and Kojima, Ryosuke and Nakadai, Kazuhiro},
  year = {2015},
  month = {Dec.},
  booktitle = {The 6th International Conference on Advanced Mechatronics (ICAM2015)},
  pages = {329-330},
  abstract = {We present acoustic event identification by integration of sound source separation and deep learning based on a convolutional neural network for extremely noisy acoustics signals captured with a 16 ch microphone array embedded in an Unmanned Aerial Vehicle (UAV). We showed that the proposed method can identify over 98\% sound sources correctly for a 10 class classification task using 16 ch recorded sound data with a microphone array embedded in a quadrotor.},
  publisher = {The Japan Society of Mechanical Engineers},
  url="http://honda-ri.jp/publications/1172"
}

@inproceedings{sugiyama2015interactive,
  title={Interactive interface to optimize sound source localization based on microphone array with coarse-to-fine tuning for humanoids},
  author={Sugiyama, Osamu and Kojima, Ryosuke and Nakadai, Kazuhiro},
  booktitle={Humanoid Robots (Humanoids), 2015 IEEE-RAS 15th International Conference on},
  pages={825--830},
  year={2015},
  organization={IEEE}
}

@inproceedings{Sugiyama_2015_1167,
  title = {Interactive Interface to Optimize Sound Source Localization with HARK},
  author = {Sugiyama, Osamu and Kojima, Ryosuke and Nakadai, Kazuhiro},
  year = {2015},
  month = {Jun.},
  booktitle = {Current Approaches in Applied Artificial Intelligence: 28th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2015, Seoul, South Korea},
  pages = {262-271},
  abstract = {In this study, we designed and developed an interactive inter-face to optimize sound source localization with the multi-channel robot audition software, HARK. With the developed interface, the system can lighten the loads of optimizing parameters and supports users easily to handle the parameter optimization in sound source localization. In order to properly handle the multi-channel sounds, it is better dynamically to indicate the parameter from both temporal and spatial perspectives, though almost all of the software can only indicate a static threshold. We developed an interactive interface, with which the user can create or delete the sound source on the MUSIC spectrum and can set up an ap-propriate parameter settings for the environment. We also conducted an evaluation of the software and revealed that our proposed interface was superior than that of the current HARK interface from the view points of intuitiveness and visibility.},
  publisher = {Springer International Publishing},
  url ="http://rd.springer.com/chapter/10.1007/978-3-319-19066-2_26",
}

Award

Kojima, R. and Sato, T.:ILP 2014 Best Student Paper runner-up

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