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2020 – today
- 2024
[c14]Jian-Feng Cai, Yu Long, Ruixue Wen, Jiaxi Ying:
A Fast and Provable Algorithm for Sparse Phase Retrieval. ICLR 2024- [i11]Andrei Buciulea, Jiaxi Ying, Antonio G. Marques, Daniel P. Palomar:
Polynomial Graphical Lasso: Learning Edges from Gaussian Graph-Stationary Signals. CoRR abs/2404.02621 (2024) - 2023
- [j10]Xi Han
, Jiaxi Ying, An Liu, Li Ma:
A nested tensor-based receiver employing triple constellation precoding for three-hop cooperative communication systems. Digit. Signal Process. 133: 103862 (2023) - [j9]Xiwen Wang, Rui Zhou, Jiaxi Ying, Daniel P. Palomar:
Efficient and Scalable Parametric High-Order Portfolios Design via the Skew-$t$ Distribution. IEEE Trans. Signal Process. 71: 3726-3740 (2023) - [c13]José Vinícius de Miranda Cardoso, Jiaxi Ying, Sandeep Kumar, Daniel P. Palomar:
Estimating Normalized Graph Laplacians in Financial Markets. ICASSP 2023: 1-5 - [c12]Jiaxi Ying, José Vinícius de Miranda Cardoso, Daniel P. Palomar:
Adaptive Estimation of Graphical Models under Total Positivity. ICML 2023: 40054-40074 - [c11]Jianfeng Cai, José Vinícius de Miranda Cardoso, Daniel P. Palomar, Jiaxi Ying:
Fast Projected Newton-like Method for Precision Matrix Estimation under Total Positivity. NeurIPS 2023 - [c10]Xiwen Wang, Jiaxi Ying, Daniel P. Palomar:
Learning Large-Scale MTP2 Gaussian Graphical Models via Bridge-Block Decomposition. NeurIPS 2023 - [i10]Jiaxi Ying, Xi Han, Rui Zhou, Xiwen Wang, Hing Cheung So:
Network Topology Inference with Sparsity and Laplacian Constraints. CoRR abs/2309.00960 (2023) - [i9]Jian-Feng Cai, Yu Long, Ruixue Wen, Jiaxi Ying:
A Fast and Provable Algorithm for Sparse Phase Retrieval. CoRR abs/2309.02046 (2023) - [i8]Xiwen Wang, Jiaxi Ying, Daniel P. Palomar:
Learning Large-Scale MTP2 Gaussian Graphical Models via Bridge-Block Decomposition. CoRR abs/2309.13405 (2023) - 2022
- [j8]Rui Zhou, Jiaxi Ying, Daniel P. Palomar:
Covariance Matrix Estimation Under Low-Rank Factor Model With Nonnegative Correlations. IEEE Trans. Signal Process. 70: 4020-4030 (2022) - [j7]Xi Han, Xinyuan Zhao, Jiaxi Ying, Feifei Gao:
Tensor-Based Information Monitoring Receiver in UAV-Aided MIMO Communication Systems. IEEE Wirel. Commun. Lett. 11(1): 155-159 (2022) - [c9]Xiwen Wang, Jiaxi Ying, José Vinícius de Miranda Cardoso, Daniel P. Palomar:
Efficient Algorithms for General Isotone Optimization. AAAI 2022: 8575-8583 - [c8]José Vinícius de Miranda Cardoso, Jiaxi Ying, Daniel P. Palomar:
Learning Bipartite Graphs: Heavy Tails and Multiple Components. NeurIPS 2022 - [i7]Jiaxi Ying, José Vinícius de Miranda Cardoso, Daniel P. Palomar:
Adaptive Estimation of MTP2 Graphical Models. CoRR abs/2210.15471 (2022) - 2021
- [j6]Xi Han, Yuyu Zhao, Jiaxi Ying:
Semi-Blind Receivers for UAV M-KRST Coding MIMO Systems Based on Nested Tensor Models. IEEE Wirel. Commun. Lett. 10(1): 185-188 (2021) - [c7]Jiaxi Ying, José Vinícius de Miranda Cardoso, Daniel P. Palomar:
A Fast Algorithm for Graph Learning under Attractive Gaussian Markov Random Fields. ACSCC 2021: 1520-1524 - [c6]Jiaxi Ying, José Vinícius de Miranda Cardoso, Daniel P. Palomar:
Minimax Estimation of Laplacian Constrained Precision Matrices. AISTATS 2021: 3736-3744 - [c5]José Vinícius de Miranda Cardoso, Jiaxi Ying, Daniel P. Palomar:
Graphical Models in Heavy-Tailed Markets. NeurIPS 2021: 19989-20001 - [i6]Jiaxi Ying, José Vinícius de Miranda Cardoso, Jian-Feng Cai, Daniel P. Palomar:
Fast Projected Newton-like Method for Precision Matrix Estimation with Nonnegative Partial Correlations. CoRR abs/2112.01939 (2021) - 2020
- [j5]Sandeep Kumar, Jiaxi Ying, José Vinícius de Miranda Cardoso, Daniel P. Palomar:
A Unified Framework for Structured Graph Learning via Spectral Constraints. J. Mach. Learn. Res. 21: 22:1-22:60 (2020) - [c4]Jiaxi Ying, José Vinícius de Miranda Cardoso, Daniel P. Palomar:
Nonconvex Sparse Graph Learning under Laplacian Constrained Graphical Model. NeurIPS 2020 - [i5]Jiaxi Ying, José Vinícius de Miranda Cardoso, Daniel P. Palomar:
Does the 𝓁1-norm Learn a Sparse Graph under Laplacian Constrained Graphical Models? CoRR abs/2006.14925 (2020) - [i4]José Vinícius de Miranda Cardoso, Jiaxi Ying, Daniel Pérez Palomar:
Algorithms for Learning Graphs in Financial Markets. CoRR abs/2012.15410 (2020)
2010 – 2019
- 2019
- [c3]Sandeep Kumar, Jiaxi Ying, José Vinícius de Miranda Cardoso, Daniel P. Palomar:
Bipartite Structured Gaussian Graphical Modeling via Adjacency Spectral Priors. ACSSC 2019: 322-326 - [c2]Sandeep Kumar, Jiaxi Ying, José Vinícius de Miranda Cardoso, Daniel P. Palomar:
Structured Graph Learning Via Laplacian Spectral Constraints. NeurIPS 2019: 11647-11658 - [i3]Sandeep Kumar, Jiaxi Ying, José Vinícius de Miranda Cardoso, Daniel P. Palomar:
A Unified Framework for Structured Graph Learning via Spectral Constraints. CoRR abs/1904.09792 (2019) - [i2]Sandeep Kumar, Jiaxi Ying, José Vinícius de Miranda Cardoso, Daniel P. Palomar:
Structured Graph Learning Via Laplacian Spectral Constraints. CoRR abs/1909.11594 (2019) - 2018
- [j4]Hong Zheng, Kun Zeng, Di Guo, Jiaxi Ying, Yu Yang, Xi Peng, Feng Huang, Zhong Chen, Xiaobo Qu:
Multi-Contrast Brain MRI Image Super-Resolution With Gradient-Guided Edge Enhancement. IEEE Access 6: 57856-57867 (2018) - [j3]Hengfa Lu, Xinlin Zhang, Tianyu Qiu, Jian Yang, Jiaxi Ying, Di Guo, Zhong Chen, Xiaobo Qu:
Low Rank Enhanced Matrix Recovery of Hybrid Time and Frequency Data in Fast Magnetic Resonance Spectroscopy. IEEE Trans. Biomed. Eng. 65(4): 809-820 (2018) - [j2]Jiaxi Ying, Jian-Feng Cai, Di Guo, Gongguo Tang, Zhong Chen, Xiaobo Qu:
Vandermonde Factorization of Hankel Matrix for Complex Exponential Signal Recovery - Application in Fast NMR Spectroscopy. IEEE Trans. Signal Process. 66(21): 5520-5533 (2018) - 2017
- [j1]Jiaxi Ying, Hengfa Lu, Qingtao Wei, Jian-Feng Cai, Di Guo, Jihui Wu, Zhong Chen, Xiaobo Qu:
Hankel Matrix Nuclear Norm Regularized Tensor Completion for N-dimensional Exponential Signals. IEEE Trans. Signal Process. 65(14): 3702-3717 (2017) - [c1]Xiaobo Qu, Jiaxi Ying, Jian-Feng Cai, Zhong Chen:
Accelerated magnetic resonance spectroscopy with Vandermonde factorization. EMBC 2017: 3537-3540 - 2016
- [i1]Jiaxi Ying, Hengfa Lu, Qingtao Wei, Jian-Feng Cai, Di Guo, Jihui Wu, Zhong Chen, Xiaobo Qu:
Hankel Matrix Nuclear Norm Regularized Tensor Completion for N-dimensional Exponential Signals. CoRR abs/1604.02100 (2016)
Coauthor Index
aka: Daniel P. Palomar
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last updated on 2024-09-13 00:40 CEST by the dblp team
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