| 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 | 13 | 2017 |
| 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 | 10 | 2021 |
| 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 | 10 | 2020 |
| 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 | 5 | 2022 |
| 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 | 3 | 2023 |
| 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 | 3 | 2020 |
| 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 |
| 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 | | 2023 |
