May 2025:
Kotaro’s work on robust invariant representation learning appears as a preprint in [arXiv].
May 2025:
Kyohei’s work on sparsity and Moreau envelopes, and Minh’s work on Riemannian Q-functions for reinforcement learning will be presented at the European Signal Processing Conference (EUSIPCO), Isola delle Femmine – Palermo, Italy, 8-12 September, 2025.
April 2025:
Thien’s work on imputation of edge flows in graphs by using kernel regression and manifold learning has been accepted for publication in Signal Processing.
March 2025:
Yuki, Qihang, Zeling and Kotaro have graduated! Congrats! Kotaro will continue in our Lab as an MSc student. Mr. Yuma Takeda has joined the Lab as an MSc student, while Mr. Kazuki Haishima will be a Lab member as a BSc student. Welcome aboard All!
March 2025:
Yuki’s latest work on nonparametric Bellman mappings and distributed reinforcement learning appears as a preprint in [arXiv].
MMarch 2025:
Yuki and Kotaro were awarded our department’s graduate and undergraduate Outstanding Student Award (情報通信系優秀学生賞), respectively. Congrats!
January 2025:
Shiwen’s work on graph quantum encoding and classification will be presented at the IEEE International Conference on Quantum Communications, Networking, and Computing (QCNC), Nara, Japan, March 31 - April 2, 2025 [arXiv].
December 2024:
Dr. Kyohei Suzuki joins the Lab as an assistant professor. Welcome aboard Kyohei!
November 2024:
Yuki and Minh’s work on nonparametric Bellman mappings for reinforcement learning appears in the IEEE Transactions on Signal Processing.
October 2024:
Ms. Jiayi Wang joins the Lab as an international-exchange student. Welcome aboard Jiayi!
October 2024:
Mr. Lin Lin joins the Lab as an MSc student. Welcome aboard Lin!
September 2024:
Minh establishes a new role for Gaussian-mixture models as approximators of Q-functions in reinforcement learning via Riemannian optimization in arXiv and TechRxiv.
September 2024:
Thien uses simplicial complexes and Hodge Laplacians to impute edge flows in graphs in arXiv and TechRxiv.
August 2024:
Thien’s recent work on multilinear kernel regression and imputation, and its applications to imputation of time-varying graph signals and dMRI data, appears in the IEEE Open Journal of Signal Processing.
April 2024:
Yuki and Minh’s work on novel nonparametric Bellman mappings for reinforcement learning, and their application to robust adaptive filtering, has been submitted for publication and appears also as a preprint at arXiv and TechRxiv.
March 2024:
Minh and Thien graduated from the MSc course, were admitted to the PhD course and will continue to be members of our Lab. Congrats!
March 2024:
Saruul graduated from the BSc course. Congrats! All the best for your future career Saruul!
February 2024:
Thien’s recent work on multilinear kernel regression and imputation, and its applications to imputation of time-varying graph signals and dMRI data appears as a preprint at arXiv and TechRxiv.
December 2023:
Thien’s work on multilinear kernel regression and imputation, and Yuki’s work on proximal Bellman mappings and reinforcement learning will be presented at IEEE ICASSP 2024, Seoul, Korea, 14-19 April, 2024.
December 2023:
Mr. Kotaro Yoshida joins the Lab as a BSc student! Welcome aboard Kotaro!
October 2023:
New paper on estimation of magnetic-nanoparticle distributions appears in Journal of Magnetism and Magnetic Materials.
October 2023:
Thien’s work on multilinear kernel regression and imputation, and Yuki’s work on proximal Bellman mappings and distributed reinforcement learning will be presented at the Signal Processing (SIP) Symposium, Kyoto, Japan, November 6-8, 2023.
October 2023:
Mr. Haochen Liang joins the Lab as an MSc student! Welcome aboard Haochen!
September 2023:
Yuki’s work on the novel class of proximal Bellman mappings for reinforcement learning and dynamic programming appears as a preprint in arXiv and TechRxiv.
September 2023:
Mr. Shiwen An joins the Lab as an MSc student! Welcome aboard Shiwen!
April 2023:
Thien’s work on a novel nonparametric regression model, and its application to dynamic MRI, has been uploaded as a preprint to arXiv and TechRxiv.
April 2023:
Mr. Zeling Jin joins the Lab as an MSc student! Welcome aboard Zeling!
March 2023:
Ms. Enkhsaruul Burentsogt joins the Lab as a BSc student! Welcome aboard Saruul!
February 2023:
Minh and Yuki’s paper on reinforcement learning and robust adaptive filtering will be presented at the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes: Greece, June 4-10, 2023.
October 2022:
New preprints on reinforcement learning for robust linear adaptive filtering: (i) [arXiv] [TechRxiv] (ii) [arXiv] [TechRxiv] .
September 2022:
Ms. Tang Chao joins the Lab as a PhD student. Welcome Tang!
September 2022:
Mr. Qihang Qiu joins the Lab as an MSc student. Welcome Qihang!
February 2022:
New paper appears in the IEEE Transactions on Computational Imaging.
April 2021:
Our lab is established!