News

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!