RESEARCH

Publications

arXiv

1. Shunsuke Tsuzuki, Yu Nishiyama, ``Short-Term Wind-Speed Forecasting Using Kernel Spectral Hidden Markov Models", arXiv:1811.06210, 2018. 

Journal

1. T. Fujibayashi, N. Koizumi, Y. Nishiyama, J. Zhou, H. Tsukihara, K. Yoshinaka, and R. Tsumura, “Image Search Strategy via Visual Servoing for Robotic Kidney Ultrasound Imaging,” J. Robot. Mechatron., Vol.35 No.5, pp. 1281-1289, 2023.

2. Koudai Okuzaki, Norihiro Koizumi, Kiyoshi Yoshinaka, Yu Nishiyama, Jiayi Zhou, Ryosuke Tsumura, Rib region detection for scanning path planning for fully automated robotic abdominal ultrasonography,  International journal of computer assisted radiology and surgery, 3 Oct. 2023.

3. T. Fujibayashi, N. Koizumi, Y. Nishiyama, Y. Watanabe, J. Zhou, M. Matsuyama, M. Yamada, R. Tsumura, K. Yoshinaka, N. Matsumoto, H. Tsukihara, K. Numata: Study on method of organ section retention and tracking through deep learning in automated diagnostic and therapeutic robotics, International Journal of Computer Assisted Radiology and Surgery (IJCARS), 30 May 2023.   IF=3.4

4. Jiayi Zhou, Norihiro Koizumi, Yu Nishiyama, Kiminao Kogiso, Tomohiro Ishikawa, Kento Kobayashi, Yusuke Watanabe, Yusuke Watanabe, Takumi Fujibayashi, Miyu Yamada, Momoko Matsuyama, Hiroyuki Tsukihara, Ryosuke Tsumura, Kiyoshi Yoshinaka, Naoki Matsumoto, Masahiro Ogawa, Hideyo Miyazaki, Kazushi Numata, Hidetoshi Nagaoka, Toshiyuki Iwai, Hideyuki Iijima, "A VS ultrasound diagnostic system with kidney image evaluation functions," International Journal of Computer Assisted Radiology and Surgery (IJCARS), https://doi.org/10.1007/s11548-022-02759-0, 5 October 2022. IF=3.4 

5. Yasuhiro Homma, Shun Ito, Xu Zhuang, Tomonori Baba, Kazutoshi Fujibayashi, Kazuo Kaneko, Yu Nishiyama, Muneaki Ishijima, Artificial intelligence for distinguishment of hammering sound in total hip arthroplasty, Sci Rep 12, 9826 (2022).

6. Momoko Matsuyama, Norihiro Koizumi, Akihide Otsuka, Kento Kobayashi, Shiho Yagasaki, Yusuke Watanabe, Jiayi Zhou, Yu Nishiyama, Naoki Matsumoto, Hiroyuki Tsukihara, Kazushi Numata, "A novel complementation method of an acoustic shadow region utilizing a convolutional neural network for ultrasound-guided therapy," International Journal of Computer Assisted Radiology and Surgery (IJCARS), 21  November 2021. IF=2.9, https://doi.org/10.1007/s11548-021-02525-8

7. Ryosuke Saito, Norihiro Koizumi, Yu Nishiyama, Tsubasa Imaizumi, Kenta Kusahara, Shiho Yagasaki, Naoki Matsumoto, Ryota Masuzaki, Toshimi Takahashi, Masahiro Ogawa, "Evaluation of Ultrasonic Fibrosis Diagnostic System Using Convolutional Network for Ordinal Regression," International Journal of Computer Assisted Radiology and Surgery (IJCARS), 21 September 2021. \https://doi.org/10.1007/s11548-021-02491-1 IF=2.9

8. Shiho Yagasaki, Norihiro Koizumi, Yu Nishiyama, Ryosuke Kondo, Tsubasa Imaizumi, Naoki Matsumoto, Masahiro Ogawa, Kazushi Numata, "Estimating 3-dimensional liver motion using deep learning and 2-dimensional ultrasound images," International Journal of Computer Assisted Radiology and Surgery (IJCARS), 15(12), 1989-1995, 3rd October, 2020. (IF=2.5)

9. Riki Igarashi,  Norihiro Koizumi,  Yu Nishiyama,  Kyohei Tomita,  Yuka Shigenari,  Sunao Shoji, Sagittal alignment in an MR-TRUS fusion biopsy using only the prostate contour in the axial image, ROBOMECH Journal, Vol.7, No.1, 15th January, 2020.

10. Yu Nishiyama, Motonobu Kanagawa, Arthur Gretton, and Kenji Fukumizu ``Model-based Kernel Sum Rule: Kernel Bayesian Inference with Probabilistic Models", Machine Learning, 109, 939-972, 2nd January, 2020. arXiv:1409.5178 

11. Junichi Taninaga, Yu Nishiyama, Kazutoshi Fujibayashi, Toshiaki Gunji, Noriko Sasabe, Kimiko Iijima, Toshio Naito, Prediction of future gastric cancer risk using a machine learning algorithm and comprehensive medical check-up data: A case-control study, Scientific Reports 9, 12384, 27th August 2019. 

12. Katsutoshi Maeta, Yu Nishiyama, Kazutoshi Fujibayashi, Toshiaki Gunji, Noriko Sasabe, Kimiko Iijima, Toshio Naito. Prediction of Glucose Metabolism Disorder Risk Using a Machine Learning Algorithm: Pilot Study. JMIR Diabetes 2018;3(4):e10212. 

13. Yudai Sasaki, Fumio Eura, Kento Kobayashi, Ryosuke Kondo, Kyohei Tomita, Yu Nishiyama, Hiroyuki Tsukihara, Naoki Matumoto and Norihiro Koizumi,  ``Development of Compact Portable Ultrasound Robot for Home Healthcare", The Journal of Engineering, special issue: AI-Aided Diagnosis and Medical Robotics, pp. 35-40, 2018.

14. T. Ishikawa, Y. Nishiyama, and K. Kogiso: Characteristic extraction for model parameters of McKibben pneumatic artificial muscles, SICE Journal of Control, Measurement, and System Integration, Vol. 11, No. 4, pp. 357-364, 2018.

15. Yu Nishiyama and Kenji Fukumizu, “Characteristic Kernels and Infinitely Divisible Distributions”, Journal of Machine Learning Research,17(180), pp. 1-28, 2016. <paper>

16. Motonobu Kanagawa, Yu Nishiyama, Arthur Gretton, and Kenji Fukumizu "Filtering with State-Observation Examples via Kernel Monte Carlo Filter", Neural Computation 28, 382-444, 2016. (arXiv:1312.4664v2)

17. Yu Nishiyama, Xingyao Ye, Alan Yuille "A Family of CCCP Algorithms Which Minimize the TRW Free Energy", New Generation Computing, Vol. 30, No. 1, pp. 3-16, 2012.

18. Yu Nishiyama, Sumio Watanabe, "Accuracy of Loopy Belief Propagation in Gaussian Models", International Journal of Neural Networks, 22, pp. 385-394, 2009.

19. Yu Nishiyama, Sumio Watanabe, "Stochastic Complexity of Complete Bipartite Graph-Type Boltzmann Machines in Mean Field Approximation", Electronics and Communications in Japan, John Wiley & Sons, Vol. 90, No. 9, pp. 1-9, 2007.

Conference paper

1. Riki Igarashi, Kyohei Tomita, Yu Nishiyama, Yuka Shigenari, Norihiro Koizumi, Lesion tracking method using CNN in non-invasive ultrasound diagnostic treatment integrated system, IEEE International Conference on Cyborg and Bionic Systems (CBS), Technical University of Munich, Germany, September 18-20, 2019.

2. Tsubasa Imaizumi, Ryosuke Kondo, Kenta Kusahara, Yu Nishiyama, Hiroyuki Tsukihara, Naoki Matsumoto, Kazushi Numata, Norihiro Koizumi, Deep learning based 3-dimensional liver motion estimation using 2-dimensional ultrasound images, IEEE International Conference on Cyborg and Bionic Systems (CBS), Technical University of Munich, Germany, September 18-20, 2019.

3. Kento Kobayashi, Yudai Sasaki, Fumio Eura, Ryosuke Kondo, KyoheiTomita, Takahiro Kobayashi, Yusuke Watanabe, Akihide Otsuka, Hiroyuki Tsukihara, Naoki Matsumoto, Kazushi Numata, Hidetoshi Nagaoka, Toshiyuki Iwai, Hideyuki Iijima, Yu Nishiyama, Norihiro Koizumi, "Development of Bed-Type Ultrasound Diagnosis and Therapeutic Robot," Proc. of 2019 IEEE International Conference on Cyborg and Bionic Systems (CBS 2019), Paper No.15, Munich, Germany, 2019.9.18-20.

4. Yudai Sasaki, Fumio Eura, Kento Kobayashi, Ryosuke Kondo, Kyohei Tomita, Yu Nishiyama, Hiroyuki Tsukihara, Naoki Matumoto and Norihiro Koizumi, Development of Compact Portable Ultrasound Robot for Home Healthcare, FR2-2, Proc. of 14th Annual Asian Conference on Computer Aided Surgery (ACCAS2018), pp. 31-36, Shanghai, China, Nov. 16-18, 2018.

5. Tsubasa Imaizumi, Norihiro Koizumi, Ryosuke Kondo, Yu Nishiyama, Naoki Matsumoto, Automatic Fascia Extraction and Classification for Measurement of Muscle Layer Thickness, Proc. of 2018 15th International Conference on Ubiquitous Robots (UR2018), ThD1.1, Hawaii Convention Center, Hawai'i, USA, June 27-30, 2018

6. Yuka Shigenari, Norihiro Koizumi, Kyohei Tomita, Yu Nishiyama, Sunao Shoji, Method for Shape Extraction and Modeling of Prostate Contours by Using Sperellipses, Proc. of 2018 15th International Conference on Ubiquitous Robots (UR2018), ThC1.4, Hawaii Convention Center, Hawai'i, USA, June 27-30, 2018

7. Akihide Otsuka, Norihiro Koizumi, Izumu Hosoi, Hiroyuki Tsukihara, Yu Nishiyama, Method for Extracting Acoustic Shadows to Construct an Organ Composite Model in Ultrasound Images, Proc. of 2018 15th International Conference on,  Ubiquitous Robots (UR2018), ThG1.2, Hawaii Convention Center, Hawai'i, USA, June 27-30, 2018

8. Ryosuke Kondo, Norihiro Koizumi, Yu Nishiyama, Naoki Matsumoto and Kazushi Numata, Out-of-Plane Motion Detection System Using Convolutional Neural Network for US-guided Radiofrequency Ablation Therapy, ThD1.1, Proc. of 2018 15th International Conference on Ubiquitous Robots (UR2018), ThG1.4, Hawaii Convention Center, Hawai'i, USA, June 27-30, 2018

9. Fumio Eura, Rika Aizawa, Ryosuke Kondo, Kyohei Tomita, Yu Nishiyama, Norihiro Koizumi, "Development of portable ultrasound guided physiological motion compensation device," Proc. of 2017 IEEE International Conference on Cyborg and Bionic Systems (CBS 2017), p.243-247, Beijing, China, Oct. 17-19, 2017

10. T. Ishikawa, Y. Nishiyama, and K. Kogiso: Parameter extraction for identifying product type of McKibben pneumatic artificial muscles, IEEE Conference on Control Technology and Applications, pp. 1935-1940, 2017/8/27-8/30.

11. A. Okabe, T. Ishikawa, K. Kogiso, and Y. Nishiyama: Efficient PSO-based algorithm for parameter estimation of McKibben PAM model, IEEE Conference on Control Technology and Applications, pp. 1414-1419, 2017/8/27-8/30.

12. Ryosuke Kondo, Norihiro Koizumi, Kyohei Tomita, Yu Nishiyama, Hidenori Sakanashi, Hiroyuki Fukuda, Hiroyuki Tsukihara, Kazushi Numata, Mamoru Mitusishi, Yoichiro Matsumoto, An automatic templates selection method for ultrasound guided tumor tracking, Proc. of 2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI 2017), pp.587-588, Jeju, Korea, 2017.6.30. 

13. Kyohei Tomita, Norihiro Koizumi, Atsushi Kayasuga, Yu Nishiyama, Hiroyuki Tsukihara, Hideyo Miyazaki, Kiyoshi Yoshinaka, Mamoru Mitsuishi, A study for tracking focal lesions in non-invasive ultrasound theragnostic system, Proc. of 2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI 2017), pp.589-591, Jeju, Korea, 2017.6.30.

14. Yu Nishiyama, Amir Hossein Afsharinejad, Shunsuke Naruse, Byron Boots, Le Song, "The Nonparametric Kernel Bayes Smoother", The 19th International Conference on Artificial Intelligence and Statistics (AISTATS 2016), pp. 547-555, Cadiz, Spain, May 9-11 2016. <paper, poster>

15. Kazuki Natori, Masaki Uto, Yu Nishiyama, Shuichi Kawano and Maomi Ueno, "Constraint-Based Learning Bayesian Networks Using Bayes Factor", 2nd Workshop on Advanced Methodologies for Bayesian Networks, pp. 15-31, Keio Univ., Kawasaki, Nov. 2015. 

16. Motonobu Kanagawa, Yu Nishiyama, Arthur Gretton, and Kenji Fukumizu “Monte Carlo Filtering using Kernel Embedding of Distributions”, 28th AAAI Conference on Artificial Intelligence, pp. 1987-1903, July, 2014. <paper, supplement>

17. Yu Nishiyama, Abdeslam Boularias, Arthur Gretton, Kenji Fukumizu, "Hilbert Space Embeddings of POMDPs", The Conference on Uncertainty in Artificial Intelligence (UAI), pp. 644-653, August 2012. <paper, supplement, poster>

18. Yu Nishiyama, Sumio Watanabe, "Generalization of Concave and Convex Decomposition in Kikuchi Free Energy",  The 18th International Conference on Artificial Neural Networks (ICANN), LNCS 5163, pp. 51-60, Prague, Sep., 2008.

19. Yu Nishiyama, Sumio Watanabe, "On the Minima of Bethe Free Energy in Gaussian Distributions", 9th International Conference on Artificial Intelligence and Soft Computing (ICAISC), LNAI5097, 1075-1086, 2008.

20. Yu Nishiyama, Sumio Watanabe, "Theoretical Analysis of Accuracy of Gaussian Belief Propagation", The 17th International Conference on Artificial Neural Networks (ICANN), Part I, LNCS 4668, pp. 29-38, Porto, Sep., 2007.

21. Yu Nishiyama, Sumio Watanabe, "Asymptotic Behavior of Stochastic Complexity of Complete Bipartite Graph-type Boltzmann Machines", 13th International Conference on Neural Information Processing (ICONIP), Part I, LNCS 4232, pp. 417-426, Hong Kong, Oct., 2006.

Presentation

1. M. Matsuyama, N. Koizumi, Y. Nishiyama, Y. Watanabe, J. Zhou, S. Yagasaki, T. Fujibayashi, M. Yamada, T. Ishikawa, R. Tsumura, K. Yoshinaka, N. Matsumoto, H. Tsukihara, K. Numata, A Study on Construction of Organ Coverage Avoidance Method of Acoustic Shadows for Automatic Ultrasound Diagnosis, 36th International Congress and Exhibition on computer assisted radiology and surgery (CARS 2022), CAR-PO-27, 2022.

2. T. Fujibayashi, N. Koizumi, Y. Nishiyama, Y. Watanabe, J. Zhou, M. Matsuyama, M. Yamada, R. Tsumura, K.Yoshinaka, N. Matsumoto, H. Tsukihara, K. Numata, A Study on Deep Learning for Automatic Diagnosis and Treatment Robots, 36th International Congress and Exhibition on computer assisted radiology and surgery (CARS 2022), CAR-PO-22-00039, 2022.

3. T. Ishikawa, N. Koizumi, Y. Nishiyama, Z. Ziayi, Y. Watanabe, T. Fujibayashi, M.Matsuyama, M. Yamada, R.Tsumura, K. Yoshinaka, H. Tsukihara, K. Numata, Construction of a 3D organ model using a robot, Visual SLAM, and deep learning, 36th International Congress and Exhibition on computer assisted radiology and surgery (CARS 2022), CARS/MCA-LE36, 2022.

4. A. Mukasa, N. Koizumi, Y. Nishiyama, Y. Onodera, M. Matsuyama, T. Fujibayashi, S. Shoji, An automatic tumor monitoring system for robot-assisted surgery using deep learning, 36th International Congress and Exhibition on computer assisted radiology and surgery (CARS 2022), ISCAS-LE-35, 2022. 

5. J. Zhou, K. Kobayashi, R. Igarashi, Y. Watanabe, T. Fujibayashi, M. Yamada, M. Matsuyama, H. Tsukihara, K. Yoshinaka, N. Matsumoto, M. Ogawa, H. Miyazaki, K. Numata, H. Nagaoka, T. Iwai, H. Iijima, Y. Nishiyama, N. Koizumi, A robotic ultrasound diagnostic system for tracking kidney motion and adjusting contact posture using an organ tracking robot [CAR-LE-21-00051], June  2021.

6. Saito, N. Koizumi, Y. Nishiyama, T. Imaizumi, K. Kusahara, S. Yagasaki, N. Matsumoto, R. Masuzaki, T. Takahashi, M. Ogawa, Ultrasound Fibrosis Diagnostic System Utilizing U-Net and CORALNet R [CAR-PO-21-00054], June  2021.

7. M. Matsuyama, N. Koizumi, A. Otsuka, K. Kobayashi, S. Yagasaki, Y. Watanabe, J. Zhou, Y. Nishiyama, N. Matsumoto, H. Tsukihara, K. Numata, A novel complementation method of an acoustic shadow region utilizing a convolutional neural network for ultrasound-guided therapy[CAR-LE-21-00052], June  2021.

8. Y. Onodera, N. Koizumi, Y. Shigenari, R. Igarashi, Y. Nishiyama, S. Shoji, Parametric identification of prostate shape using the superellipses and its correlation with pathology [CAD-LE-63],  June  2021.

9. Ryosuke Saito, Norihiro Koizumi, Yu Nishiyama, Tsubasa Imaizumi, Kenta Kusahara, Shiho Yagasaki, Masahiro Ogawa, Naoki Matsumoto, Development of Ultrasound Robot for Automatic Acquisition of Ultrasound Images, Proc. of 16th Annual Asian Conference on Computer Aided Surgery (ACCAS2020), OS1-6, November 27th, 2020, Tokyo, Japan.

10. Yusuke Watanabe, Norihiro Koizumi, Yudai Sasaki, Kento Kobayashi, Takahiro Kobayashi, Zhou Jiayi, Yu Nishiyama, Hiroyuki Tsukihara, Kazushi Numata, Hideyuki Iijima, Toshiyuki Iwai, Hidetoshi Nagaoka, Study on automatic aquisition of diagnostic images by ultrasound diagnostic robot, Proc. of 16th Annual Asian Conference on Computer Aided Surgery (ACCAS2020), OS1-5, November 27th, 2020, Tokyo, Japan.

11. Jiayi Zhou, Kento Kobayashi, Yusuke Watanabe, Takumi Fujibayashi, Momoko Matsuyama, Miyu Yamada, Hiroyuki Tsukihara, Yu Nishiyama, Norihiro Koizumi, Development of Ultrasound Robot for Automatic Acquisition of Ultrasound Images, Proc. of 16th Annual Asian Conference on Computer Aided Surgery (ACCAS2020), OS1-8, November 27th, 2020, Tokyo, Japan.

12. K. Kusahara, N. Koizumi, Y. Nishiyama, T. Imaizumi, R. Saito, S. Yagasaki, N. Matsumoto, M. Ogawa, "Classification of hepatic hemangiomas and blood vessels from ultrasonography by deep learning," 34th International Congress and Exhibition on computer assisted radiology and surgery (CARS 2020), Imaging Informatics – Segmentation, 20-00072, Munich(online), June 2020. 

13. K. Kobayashi, N. Koizumi, Y. Sasaki, T. Kobayashi, Y. Watanabe, J. Zhou, A. Otsuka, Y. Nishiyama, H.Tsukihara, N. Matsumoto, H. Miyazaki, K. Numata, H. Nagaoka, T. Iwai, H. Iijima, "Contact state adjustment method to enhance organ motion compensation performance for a bed-type ultrasound diagnostic and therapeutic robot," 34th International Congress and Exhibition on computer assisted radiology and surgery (CARS 2020), Robot-assisted Image-guided Therapy, 20-00071, Munich(online), June 2020.

14. S. Yagasaki, N. Koizumi, Y. Nishiyama, R. Kondo, T. Imaizumi, N. Matsumoto, M. Ogawa, K. Numata, "Usefulness of computer-aided diagnosis system in evaluating severity of benign prostatic hyperplasia, using a super-ellipse model to characterize changes in prostate contours," 34th International Congress and Exhibition on computer assisted radiology and surgery (CARS 2020), Imaging Informatics – Segmentation, 20-00070, Munich(online), June 2020. 

15. Yudai Sasaki, Fumio Eura, Kento Kobayashi, Ryosuke Kondo, Kyohei Tomita, Yu Nishiyama, Hiroyuki Tsukihara, Naoki Matsumoto, and Norihiro Koizumi, "Automatic Diagnosis by Compact Portable Ultrasound Robot : State Estimation of Internal Organs with Steady-State Kalman Filter," Proc. of 2019 IEEE Healthcare Innovations and Point of Care Technologies Conference (HI-POCT), Paper No. 1009, Bethesda, Maryland, USA, 2019.11.20-22. 

16. R. Igarashi, N. Koizumi, Y. Nishiyama, K. Tomita, Y. Shigenari, S. Shoji, Matching axial images of magnetic resonance imaging and transrectal ultrasound based on deep learning, Computer Assisted Radiology and Surgery (CARS) congress, Rennes, June 18-21, 2019.

17. T. Imaizumi, N. Koizumi, Y. Nishiyama, N. Matsumoto, M. Ogawa, Segmentation of liver parenchyma in ultrasound images for automatic diagnosis of liver cirrhosis, Computer Assisted Radiology and Surgery (CARS) congress, Rennes, June 18-21, 2019.

18. Ryosuke Kondo, Norihiro Koizumi, Kyohei Tomita, Atsushi Kayasuga, Yu Nishiyama, Hiroyuki Tsukihara, Hiroyuki Fukuda, Kazushi Numata, Yoichiro Matsumoto, and Mamoru Mitsuishi, ". An ultrasound guided monitoring system for high intensity focused ultrasound and radio frequency ablation therapies," 4pBA12, 140(4):3309-3309, The Journal of the Acoustical Society of America (JASA), Dec. 1st, 2016 (DOI: 10.1121/1.4970538).

19. Kyohei Tomita, Norihiro Koizumi, Ryosuke Kondo, Atsushi Kayasuga, Yu Nishiyama, Hiroyuki Tsukihara, Hiroyuki Fukuda, Kazushi Numata, Yoichiro Matsumoto, and Mamoru Mitsuishi, Kazushi Numata, Yukio Honma, Yoichiro Matsumoto, and Mamoru Mitsuishi, "Liver tracking system utilizing template matching and energy function in high intensity focused ultrasound/radio frequency ablation therapy," 4pBA10, 140(4):3309-3309, The Journal of the Acoustical Society of America (JASA), Dec. 1st, 2016 (DOI: 10.1121/1.4970536).

20. Atsushi Kayasuga, Norihiro Koizumi, Kyohei Tomita, Yu Nishiyama, Hiroyuki Tsukihara, Hiroyuki Fukuda, Kiyoshi Yoshinaka, Takashi Azuma, Hideyo Miyazaki, Naohiko Sugita, Kazushi Numata, Yukio Honma, Yoichiro Matsumoto, and Mamoru Mitsuishi, "Robust servoing method for renal stones/tumors for the noninvasive ultrasound theragnostic system," 4pBA2, 140(4):3306-3307, The Journal of the Acoustical Society of America, Dec. 1st, 2016 (DOI: 10.1121/1.4970528)

21. Yu Nishiyama, Amir Hossein Afsharinejad, Shunsuke Naruse, Byron Boots, Le Song, "Nonparametric Smoothing on State Space Models with Kernel Mean Embeddings", STM2015 & CSM2015, The Institute of Statistical Mathematics, Tokyo, July 15th 2015. (poster)

22. Yu Nishiyama, Amir Hossein Afsharinejad, Shunsuke Naruse, Byron Boots, Le Song, "Nonparametric Smoothing on State Space Models with Kernel Mean Embeddings", 1st Symposium on Intelligent Systems in Science and Industry (SISSI), Max Planck Institute, Tuebingen, July 12th 2015. (poster) 

23. Yu Nishiyama, Motonobu Kanagawa, Arthur Gretton, Kenji Fukumizu, "Model-based Kernel Sum Rule with Applications to State Space Models"，The Neural Information Processing Systems (NIPS) Workshop: ABC in Montreal, Canada, Dec. 12th. 2014. (oral & poster) <paper, slide, poster>

24. Yu Nishiyama, Abdeslam Boularias, Arthur Gretton, Kenji Fukumizu, "Kernel Mean Embeddings of POMDPs"，Machine Learning Summer Schools 2012, Kyoto, August, 2012. <poster> 

25. Yu Nishiyama, Xingyao Ye, Alan Yuille, "A Family of CCCP Algorithms which Minimize the TRW Free Energy", 1st International Workshop on Advanced Methodologies for Bayesian Networks (AMBN), pp. 21, Tokyo, Nov., 2010.