公開日期 | 標題 | 作者 | 來源出版物 | scopus | WOS | 全文 |
2012 | An interpretation of the moore-penrose generalized inverse of a singular fisher information matrix | Li, Y.-H.; YEN-HUAN LI ; PING-CHENG YEH | IEEE Transactions on Signal Processing | 25 | 24 | |
2016 | Learning data triage: Linear decoding works for compressive MRI. | Yen-Huan Li ; Cevher, Volkan | 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 | 3 | 0 | |
2016 | Learning Data Triage: Linear Decoding Works for Compressive MRI. | Yen-Huan Li ; Cevher, Volkan | CoRR | | | |
2016 | Learning Data Triage: Linear Decoding Works for Compressive MRI. | Li, Yen-Huan; Cevher, Volkan; YEN-HUAN LI | CoRR | | | |
2018 | Learning-Based Compressive MRI. | G?zc?, Baran; Mahabadi, Rabeeh Karimi; Yen-Huan Li ; Ilicak, Efe; ?ukur, Tolga; Scarlett, Jonathan; Cevher, Volkan | CoRR | | | |
2015 | Learning-based Compressive Subsampling. | Baldassarre, Luca; Yen-Huan Li ; Scarlett, Jonathan; G?zc?, Baran; Bogunovic, Ilija; Cevher, Volkan | CoRR | | | |
2010 | MIMO-OFDM PHY Integrated (MOPI) scheme for confidential wireless transmission | Cheng, J.-P.; Li, Y.-H.; Yeh, P.-C.; CHEN-MOU CHENG ; PING-CHENG YEH ; YEN-HUAN LI | IEEE Wireless Communications and Networking Conference, WCNC | 14 | 0 | |
2022 | Minimizing Quantum Rényi Divergences via Mirror Descent with Polyak Step Size | You, Jun Kai; HAO-CHUNG CHENG ; YEN-HUAN LI | IEEE International Symposium on Information Theory - Proceedings | 3 | 0 | |
2020 | Online Positron Emission Tomography by Online Portfolio Selection | YEN-HUAN LI | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings | 1 | 0 | |
2008 | Performance Analysis of Type-II Hybrid ARQ Systems | Y.H. Kao; Y.H. Li; W.A. Lin; H.C. Hu; PING-CHENG YEH ; YEN-HUAN LI | IEEE Global Communications Conference (Globecom) | 0 | 0 | |
2015 | Sparsistency of 1-Regularized M-Estimators. | Yen-Huan Li ; Scarlett, Jonathan; Ravikumar, Pradeep; Cevher, Volkan | Eighteenth International Conference on Artificial Intelligence and Statistics | 6 | | |