Követés
Yuen-Man Pun
Yuen-Man Pun
CIICADA Lab, School of Engineering, Australian National University
E-mail megerősítve itt: anu.edu.au
Cím
Hivatkozott rá
Hivatkozott rá
Év
Local strong convexity of maximum-likelihood TDOA-based source localization and its algorithmic implications
H Liu, YM Pun, AMC So
2017 IEEE 7th International Workshop on Computational Advances in Multi …, 2017
142017
Local strong convexity of source localization and error bound for target tracking under time-of-arrival measurements
YM Pun, AMC So
IEEE Transactions on Signal Processing 70, 190-201, 2021
132021
A provably convergent projected gradient-type algorithm for TDOA-based geolocation under the quasi-parabolic ionosphere model
S Huang, YM Pun, AMC So, K Yang
IEEE Signal Processing Letters 27, 1335-1339, 2020
132020
Distributionally robust graph learning from smooth signals under moment uncertainty
X Wang, YM Pun, AMC So
IEEE Transactions on Signal Processing 70, 6216-6231, 2022
62022
Projected tensor power method for hypergraph community recovery
J Wang, YM Pun, X Wang, P Wang, AMC So
International Conference on Machine Learning, 36285-36307, 2023
42023
Dynamic regret bound for moving target tracking based on online time-of-arrival measurements
YM Pun, AMC So
2020 59th IEEE Conference on Decision and Control (CDC), 5968-5973, 2020
42020
Online Non-Stationary Stochastic Quasar-Convex Optimization
YM Pun, I Shames
arXiv preprint arXiv:2407.03601, 2024
12024
Distributionally Time-Varying Online Stochastic Optimization under Polyak-{\L} ojasiewicz Condition with Application in Conditional Value-at-Risk Statistical Learning
YM Pun, F Farokhi, I Shames
arXiv preprint arXiv:2309.09411, 2023
12023
Global strong convexity and characterization of critical points of time-of-arrival-based source localization
YM Pun, AMC So
Computational Geometry 119, 102077, 2024
2024
Time-Varying Non-Convex Optimization via Online Gradient Descent: Theory and Applications
YM Pun
PQDT-Global, 2022
2022
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Cikkek 1–10