Student members

KASAI Laboratory is looking for talented, dedicated students who are passionate about machine learning, optimization, signal processing, and data science and have a strong background in mathematics. If you are interested in joining us as a student in a doctor’s or master’s course, please send an application form below with detailed information. See here for entrance in more detail.
- Note that, for students at Waseda University, please contact directly Prof. Kasai via email.
機械学習，最適化理論，信号処理，データ科学に興味があり，意欲的な学生の参加を待っています．研究室入室に興味がある学生は，以下のエントリーフォームからコンタクトしてください．入学に関する詳細はこちらをご覧ください．
- なお，早稲田大学に所属する学生（情報通信学科&情報理工学科&CSCEコースの学生を含む）は，メールにて笠井（hiroyuki.kasai atmark waseda.jp）まで直接コンタクトしてください．

　Application form for inquiry >

Doctoral course

Jianming Huang (JH) (黄健明) (since April 2020. Graduated from Xiamen University)
- JH, ZF, and HK, “LCS graph kernel based on Wasserstein distance in longest common subsequence metric space,” International Journal of Signal Processing, Elsevier (Impact Factor: 4.662), arXiv preprint 2012.03612, 2021.
- JH and HK, “Graph embedding using multi-layer adjacent point merging model,” IEEE 46th International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2021, publisher’s site, arXiv preprint 2010.14773, 2020.

Master course (2nd-year graduate student)

Takumi Fukunaga (TF) (福永拓海) (since April 2020)
- TF and HK, “On the Convergence of Semi-Relaxed Sinkhorn with Marginal Constraint and OT Distance Gaps,” arXiv preprint arXiv:2205.13846 , 2022.
- TF and HK, “Block-coordinate Frank-Wolfe algorithm and convergence analysis for semi-relaxed OT problem,” IEEE 47th International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2022, 2022.
- TF and HK, “Fast block-coordinate Frank-Wolfe algorithm for semi-relaxed optimal transport,” arXiv preprint arXiv:2103.05857 , 2021.
- TF and HK, “Wasserstein k-means with sparse simplex projection,” 25th International Conference on Pattern Recognition (ICPR) 2020, Publisher’s site, arXiv preprint arXiv:2011.12542, 2020.
Zhongxi Fang (ZF) (方鐘熙) (since April 2020)
- ZF, Jianming Huang, Xun Su, and HK, “Wasserstein Graph Distance based on $L_1$ -Approximated Tree Edit Distance between Weisfeiler-Lehman Subtrees, Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23) (accepted), arXiv preprint 2207.04216, 2022.
Mitsuhiko Horie (MH) (堀江光彦) (since April 2020)
- MH and HK, “Auto-weighted sequential Wasserstein distance and application to sequence matching,” 30th European Signal Processing Conference (EUSIPCO) 2022, 2022.
- MH and HK, “Consistency-aware and inconsistency-aware graph-based multi-view clustering,” 28th European Signal Processing Conference (EUSIPCO) 2020. Publisher’s site, arXiv preprint 2011.12532. 2020.
K.K. (since April 2020)
Xun Su (蘇迅) (since April 2021. Graduated from Nanjing University)

Master course (1st-year graduate student)

R. K. (since April 2021)
K. I. (since April 2021)
Y. O. (since April 2021)
Zhang Hao (张昊) (since Sep. 2022. Graduated from Dalian University of Technology)

Bachelor course (4th-year undergraduate student)

T. T. (since April 2022)
H. I. (since April 2022)
T. T. (since April 2022)
T. T. (since April 2022)
R. S. (since April 2022)
T. C. (since April 2022)

Visiting Research Fellow

Chunmei LI (李春梅) (Internship, Ph.D. candidate at Harbin Engineering University, since August 2022)

OB/OG members

Graduation in March 2021
- M. K. (Bachelor, from April 2020 to March 2021)
Graduation in March 2022
- Riku Hashimoto (Bachelor and Master, from April 2019 to March 2022 in UEC)
- M. N. (Bachelor, from April 2020 to March 2022)
- A. O. (Bachelor, from April 2021 to March 2022)
- R. A. (Bachelor, from April 2021 to March 2022)
- S. S. (Bachelor, from April 2021 to March 2022)
- M. K. (Bachelor, from April 2021 to March 2022)

Student members

Student members

Doctoral course

JH, ZF, and HK, “LCS graph kernel based on Wasserstein distance in longest common subsequence metric space,” International Journal of Signal Processing, Elsevier (Impact Factor: 4.662), arXiv preprint 2012.03612, 2021.

JH and HK, “Graph embedding using multi-layer adjacent point merging model,” IEEE 46th International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2021, publisher’s site, arXiv preprint 2010.14773, 2020.

Master course (2nd-year graduate student)

TF and HK, “On the Convergence of Semi-Relaxed Sinkhorn with Marginal Constraint and OT Distance Gaps,” arXiv preprint arXiv:2205.13846, 2022.

TF and HK, “Block-coordinate Frank-Wolfe algorithm and convergence analysis for semi-relaxed OT problem,” IEEE 47th International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2022, 2022.

TF and HK, “Fast block-coordinate Frank-Wolfe algorithm for semi-relaxed optimal transport,” arXiv preprint arXiv:2103.05857, 2021.

TF and HK, “Wasserstein k-means with sparse simplex projection,” 25th International Conference on Pattern Recognition (ICPR) 2020, Publisher’s site, arXiv preprint arXiv:2011.12542, 2020.

ZF, Jianming Huang, Xun Su, and HK, “Wasserstein Graph Distance based on -Approximated Tree Edit Distance between Weisfeiler-Lehman Subtrees, Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23) (accepted), arXiv preprint 2207.04216, 2022.

MH and HK, “Auto-weighted sequential Wasserstein distance and application to sequence matching,” 30th European Signal Processing Conference (EUSIPCO) 2022, 2022.

MH and HK, “Consistency-aware and inconsistency-aware graph-based multi-view clustering,” 28th European Signal Processing Conference (EUSIPCO) 2020. Publisher’s site, arXiv preprint 2011.12532. 2020.

Master course (1st-year graduate student)

Bachelor course (4th-year undergraduate student)

Visiting Research Fellow

OB/OG members

TF and HK, “On the Convergence of Semi-Relaxed Sinkhorn with Marginal Constraint and OT Distance Gaps,” arXiv preprint arXiv:2205.13846 , 2022.

TF and HK, “Fast block-coordinate Frank-Wolfe algorithm for semi-relaxed optimal transport,” arXiv preprint arXiv:2103.05857 , 2021.

ZF, Jianming Huang, Xun Su, and HK, “Wasserstein Graph Distance based on $L_1$ -Approximated Tree Edit Distance between Weisfeiler-Lehman Subtrees, Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23) (accepted), arXiv preprint 2207.04216, 2022.