Jiaxi Ying - RankMe

43 papers A* 11A 1Misc 2Journal 27Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An Alternative Derivation and Optimal Design Method of the Generalized Bilinear Transformation for Discretizing Analog Systems. CoRR Shen Chen, Yanlong Li, Jiamin Cui, Wei Yao, Jisong Wang, Yixin Tian, Chaohou Liu, Yang Yang, Jiaxi Ying, Zeng Liu, Jinjun Liu
2025	J	`jnl`	Comprehensive Analysis and Exclusion Hypothesis of α-Approximation Method for Discretizing Analog Systems. CoRR Shen Chen, Jisong Wang, Dejun Liu, Jiaxi Ying, Shuai Wang
2025	A*	`conf`	Fast and Provable Algorithms for Sparse PCA with Improved Sample Complexity. ICML Jian-Feng Cai, Zhuozhi Xian, Jiaxi Ying
2025	J	`jnl`	HASwinNet: A Swin Transformer-Based Denoising Framework with Hybrid Attention for mmWave MIMO Systems. Entropy Xi Han, Houya Tu, Jiaxi Ying, Junqiao Chen, Zhiqiang Xing
2025	J	`jnl`	Polynomial Graphical Lasso: Learning Edges From Gaussian Graph-Stationary Signals. IEEE Trans. Signal Process. Andrei Buciulea, Jiaxi Ying, Antonio G. Marques, Daniel P. Palomar
2025	J	`jnl`	Time-Varying Graph Learning for Data With Heavy-Tailed Distribution. IEEE Trans. Signal Process. Amirhossein Javaheri, Jiaxi Ying, Daniel P. Palomar, Farokh Marvasti
2025	J	`jnl`	Time-Varying Graph Learning for Data with Heavy-Tailed Distribution. CoRR Amirhossein Javaheri, Jiaxi Ying, Daniel P. Palomar, Farokh Marvasti
2024	A*	`conf`	A Fast and Provable Algorithm for Sparse Phase Retrieval. ICLR Jian-Feng Cai, Yu Long, Ruixue Wen, Jiaxi Ying
2024	A*	`conf`	Adaptive Passive-Aggressive Framework for Online Regression with Side Information. NeurIPS Runhao Shi, Jiaxi Ying, Daniel P. Palomar
2024	J	`jnl`	Polynomial Graphical Lasso: Learning Edges from Gaussian Graph-Stationary Signals. CoRR Andrei Buciulea, Jiaxi Ying, Antonio G. Marques, Daniel P. Palomar
2023	J	`jnl`	A Fast and Provable Algorithm for Sparse Phase Retrieval. CoRR Jian-Feng Cai, Yu Long, Ruixue Wen, Jiaxi Ying
2023	J	`jnl`	A nested tensor-based receiver employing triple constellation precoding for three-hop cooperative communication systems. Digit. Signal Process. Xi Han, Jiaxi Ying, An Liu, Li Ma
2023	A*	`conf`	Adaptive Estimation of Graphical Models under Total Positivity. ICML Jiaxi Ying, José Vinícius de Miranda Cardoso, Daniel P. Palomar
2023	J	`jnl`	Efficient and Scalable Parametric High-Order Portfolios Design via the Skew-$t$ Distribution. IEEE Trans. Signal Process. Xiwen Wang, Rui Zhou, Jiaxi Ying, Daniel P. Palomar
2023	Misc	`conf`	Estimating Normalized Graph Laplacians in Financial Markets. ICASSP José Vinícius de Miranda Cardoso, Jiaxi Ying, Sandeep Kumar, Daniel P. Palomar
2023	A*	`conf`	Fast Projected Newton-like Method for Precision Matrix Estimation under Total Positivity. NeurIPS Jianfeng Cai, José Vinícius de Miranda Cardoso, Daniel P. Palomar, Jiaxi Ying
2023	A*	`conf`	Learning Large-Scale MTP NeurIPS Xiwen Wang, Jiaxi Ying, Daniel P. Palomar
2023	J	`jnl`	Learning Large-Scale MTP CoRR Xiwen Wang, Jiaxi Ying, Daniel P. Palomar
2023	J	`jnl`	Network Topology Inference with Sparsity and Laplacian Constraints. CoRR Jiaxi Ying, Xi Han, Rui Zhou, Xiwen Wang, Hing Cheung So
2022	J	`jnl`	Adaptive Estimation of MTP CoRR Jiaxi Ying, José Vinícius de Miranda Cardoso, Daniel P. Palomar
2022	J	`jnl`	Covariance Matrix Estimation Under Low-Rank Factor Model With Nonnegative Correlations. IEEE Trans. Signal Process. Rui Zhou, Jiaxi Ying, Daniel P. Palomar
2022	A*	`conf`	Efficient Algorithms for General Isotone Optimization. AAAI Xiwen Wang, Jiaxi Ying, José Vinícius de Miranda Cardoso, Daniel P. Palomar
2022	A*	`conf`	Learning Bipartite Graphs: Heavy Tails and Multiple Components. NeurIPS José Vinícius de Miranda Cardoso, Jiaxi Ying, Daniel P. Palomar
2022	J	`jnl`	Tensor-Based Information Monitoring Receiver in UAV-Aided MIMO Communication Systems. IEEE Wirel. Commun. Lett. Xi Han, Xinyuan Zhao, Jiaxi Ying, Feifei Gao
2021	—	`conf`	A Fast Algorithm for Graph Learning under Attractive Gaussian Markov Random Fields. ACSCC Jiaxi Ying, José Vinícius de Miranda Cardoso, Daniel P. Palomar
2021	J	`jnl`	Fast Projected Newton-like Method for Precision Matrix Estimation with Nonnegative Partial Correlations. CoRR Jiaxi Ying, José Vinícius de Miranda Cardoso, Jian-Feng Cai, Daniel P. Palomar
2021	A*	`conf`	Graphical Models in Heavy-Tailed Markets. NeurIPS José Vinícius de Miranda Cardoso, Jiaxi Ying, Daniel P. Palomar
2021	A	`conf`	Minimax Estimation of Laplacian Constrained Precision Matrices. AISTATS Jiaxi Ying, José Vinícius de Miranda Cardoso, Daniel P. Palomar
2021	J	`jnl`	Semi-Blind Receivers for UAV M-KRST Coding MIMO Systems Based on Nested Tensor Models. IEEE Wirel. Commun. Lett. Xi Han, Yuyu Zhao, Jiaxi Ying
2020	J	`jnl`	A Unified Framework for Structured Graph Learning via Spectral Constraints. J. Mach. Learn. Res. Sandeep Kumar, Jiaxi Ying, José Vinícius de Miranda Cardoso, Daniel P. Palomar
2020	J	`jnl`	Algorithms for Learning Graphs in Financial Markets. CoRR José Vinícius de Miranda Cardoso, Jiaxi Ying, Daniel Pérez Palomar
2020	J	`jnl`	Does the 𝓁 CoRR Jiaxi Ying, José Vinícius de Miranda Cardoso, Daniel P. Palomar
2020	A*	`conf`	Nonconvex Sparse Graph Learning under Laplacian Constrained Graphical Model. NeurIPS Jiaxi Ying, José Vinícius de Miranda Cardoso, Daniel P. Palomar
2019	J	`jnl`	A Unified Framework for Structured Graph Learning via Spectral Constraints. CoRR Sandeep Kumar, Jiaxi Ying, José Vinícius de Miranda Cardoso, Daniel P. Palomar
2019	Misc	`conf`	Bipartite Structured Gaussian Graphical Modeling via Adjacency Spectral Priors. ACSSC Sandeep Kumar, Jiaxi Ying, José Vinícius de Miranda Cardoso, Daniel P. Palomar
2019	A*	`conf`	Structured Graph Learning Via Laplacian Spectral Constraints. NeurIPS Sandeep Kumar, Jiaxi Ying, José Vinícius de Miranda Cardoso, Daniel P. Palomar
2019	J	`jnl`	Structured Graph Learning Via Laplacian Spectral Constraints. CoRR Sandeep Kumar, Jiaxi Ying, José Vinícius de Miranda Cardoso, Daniel P. Palomar
2018	J	`jnl`	Low Rank Enhanced Matrix Recovery of Hybrid Time and Frequency Data in Fast Magnetic Resonance Spectroscopy. IEEE Trans. Biomed. Eng. Hengfa Lu, Xinlin Zhang, Tianyu Qiu, Jian Yang, Jiaxi Ying, Di Guo, Zhong Chen, Xiaobo Qu
2018	J	`jnl`	Multi-Contrast Brain MRI Image Super-Resolution With Gradient-Guided Edge Enhancement. IEEE Access Hong Zheng, Kun Zeng, Di Guo, Jiaxi Ying, Yu Yang, Xi Peng, Feng Huang, Zhong Chen, Xiaobo Qu
2018	J	`jnl`	Vandermonde Factorization of Hankel Matrix for Complex Exponential Signal Recovery - Application in Fast NMR Spectroscopy. IEEE Trans. Signal Process. Jiaxi Ying, Jian-Feng Cai, Di Guo, Gongguo Tang, Zhong Chen, Xiaobo Qu
2017	—	`conf`	Accelerated magnetic resonance spectroscopy with Vandermonde factorization. EMBC Xiaobo Qu, Jiaxi Ying, Jian-Feng Cai, Zhong Chen
2017	J	`jnl`	Hankel Matrix Nuclear Norm Regularized Tensor Completion for N-dimensional Exponential Signals. IEEE Trans. Signal Process. Jiaxi Ying, Hengfa Lu, Qingtao Wei, Jian-Feng Cai, Di Guo, Jihui Wu, Zhong Chen, Xiaobo Qu
2016	J	`jnl`	Hankel Matrix Nuclear Norm Regularized Tensor Completion for N-dimensional Exponential Signals. CoRR Jiaxi Ying, Hengfa Lu, Qingtao Wei, Jian-Feng Cai, Di Guo, Jihui Wu, Zhong Chen, Xiaobo Qu