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!