Ziping Zhao - RankMe

59 papers A* 1A 1B 5Misc 15Journal 15Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Positive Definite Sparse Covariance Estimation via Dual Space Optimization. AAAI Fengpei Li, Wenfu Xia, Ziping Zhao
2025	Misc	`conf`	Beyond Jensen's Inequality: Speeding Up ML Estimation of Generalized Hyperbolic Distributions. ICASSP Chenyu Gao, Ziping Zhao
2025	A	`conf`	Covariance Selection over Networks. AISTATS Wenfu Xia, Fengpei Li, Ying Sun, Ziping Zhao
2025	J	`jnl`	Graph Neural Networks With Adaptive Structures. IEEE J. Sel. Top. Signal Process. Zepeng Zhang, Songtao Lu, Zengfeng Huang, Ziping Zhao
2025	Misc	`conf`	Large Covariance Matrix Estimation for Groups of Highly Correlated Variables via Nonconvex Optimization. ICASSP Shanshan Zou, Ziping Zhao
2025	—	`conf`	Large Sparse Covariance Matrix Estimation via Dual Proximal Gradient Method. APSIPA Fengpei Li, Ziping Zhao
2025	J	`jnl`	Maximum Likelihood Estimation of Gaussian and Student's $ t $ GARCH: A Unified Penalty Method. IEEE Trans. Signal Process. Chenyu Gao, Ziping Zhao, Daniel P. Palomar
2025	Misc	`conf`	Sparse PCA with Oracle Rate in High Dimensions. ICASSP Wenfu Zhong, Ziping Zhao
2024	—	`conf`	A Joint Graph Signal and Laplacian Denoising Network. APSIPA Zepeng Zhang, Ziping Zhao
2024	Misc	`conf`	Accelerating Gradient Descent for Over-Parameterized Asymmetric Low-Rank Matrix Sensing via Preconditioning. ICASSP Cheng Cheng, Ziping Zhao
2024	B	`conf`	Accelerating Quadratic Transform and WMMSE. ISIT Kaiming Shen, Ziping Zhao, Yannan Chen, Zepeng Zhang, Hei Victor Cheng
2024	J	`jnl`	Accelerating Quadratic Transform and WMMSE. IEEE J. Sel. Areas Commun. Kaiming Shen, Ziping Zhao, Yannan Chen, Zepeng Zhang, Hei Victor Cheng
2024	—	`conf`	Distributed Sparse Covariance Matrix Estimation. SAM Wenfu Xia, Ziping Zhao, Ying Sun
2024	B	`conf`	Efficient Nonconvex Optimization for Two-way Sparse Reduced-Rank Regression. ISIT Cheng Cheng, Ziping Zhao
2024	B	`conf`	Geometric Analysis of Non-Convex Optimization Landscapes for Robust M-Estimation of Location. ITW Hongyuan Yang, Ziping Zhao, Ying Sun
2024	B	`conf`	Guaranteed Robust Large Precision Matrix Estimation Under t-Distribution. ISIT Fengpei Li, Ziping Zhao
2024	—	`conf`	High-Dimensional Constrained Huber Regression. SAM Quan Wei, Ziping Zhao
2024	B	`conf`	Improved Stability Bounds for Graph Convolutional Neural Networks Under Graph Perturbations. ITW Jun Zhang, Ziping Zhao
2024	Misc	`conf`	Joint Blind Deconvolution And Demixing Of Sparse Signals Via Factorization And Nonconvex Optimization. ICASSP Mengting Chen, Ziping Zhao
2024	Misc	`conf`	Large Covariance Matrix Estimation Based on Factor Models via Nonconvex Optimization. ICASSP Shanshan Zou, Ziping Zhao
2024	—	`conf`	Sparse Blind Deconvolution and Demixing via Block Majorization-Minimization. APSIPA Mengting Chen, Ziping Zhao
2024	—	`conf`	Two-Way Sparse Reduced-Rank Regression via Scaled Gradient Descent with Hard Thresholding. SAM Cheng Cheng, Ziping Zhao
2023	—	`conf`	A Novel Algorithm for GARCH Model Estimation. SSP Chenyu Gao, Ziping Zhao, Daniel P. Palomar
2023	—	`conf`	C-ISTA: Iterative Shrinkage-Thresholding Algorithm for Sparse Covariance Matrix Estimation. SSP Wenfu Xia, Ziping Zhao, Ying Sun
2023	J	`jnl`	Discerning and Enhancing the Weighted Sum-Rate Maximization Algorithms in Communications. CoRR Zepeng Zhang, Ziping Zhao, Kaiming Shen, Daniel P. Palomar, Wei Yu
2023	—	`conf`	Efficient Sparse Reduced-Rank Regression With Covariance Estimation. SSP Fengpei Li, Ziping Zhao
2023	Misc	`conf`	Enhancing the Efficiency of WMMSE and FP for Beamforming by Minorization-Maximization. ICASSP Zepeng Zhang, Ziping Zhao, Kaiming Shen
2023	J	`jnl`	Large Covariance Matrix Estimation With Oracle Statistical Rate via Majorization-Minimization. IEEE Trans. Signal Process. Quan Wei, Ziping Zhao
2023	Misc	`conf`	Large Covariance Matrix Estimation with Oracle Statistical Rate. ICASSP Quan Wei, Ziping Zhao
2023	J	`jnl`	On Convergence Rates of Quadratic Transform and WMMSE Methods. CoRR Kaiming Shen, Ziping Zhao, Yannan Chen, Zepeng Zhang, Hei Victor Cheng
2022	J	`jnl`	ASGNN: Graph Neural Networks with Adaptive Structure. CoRR Zepeng Zhang, Songtao Lu, Zengfeng Huang, Ziping Zhao
2022	J	`jnl`	Towards Understanding Graph Neural Networks: An Algorithm Unrolling Perspective. CoRR Zepeng Zhang, Ziping Zhao
2021	—	`conf`	Globally Convergent Algorithms for Learning Multivariate Generalized Gaussian Distributions. SSP Bin Wang, Huanyu Zhang, Ziping Zhao, Ying Sun
2021	J	`jnl`	Joint Design of Transmit Waveforms and Receive Filters for MIMO Radar via Manifold Optimization. CoRR Huanyu Zhang, Ziping Zhao
2021	—	`conf`	Multi-Period Portfolio Optimization for Index Tracking in Finance. ACSCC Xiuyuan Huang, Zepeng Zhang, Ziping Zhao
2021	—	`conf`	Scalable Financial Index Tracking with Graph Neural Networks. SSP Zepeng Zhang, Ziping Zhao
2021	—	`conf`	Sparse Reduced-Rank Regression With Adaptive Selection of Groups of Predictors. ACSCC Quan Wei, Yujia Zhang, Ziping Zhao
2021	—	`conf`	Vast Portfolio Selection With Submodular Norm Regularizations. EUSIPCO Zepeng Zhang, Ziping Zhao
2021	—	`conf`	Weighted Sum-Rate Maximization for Multi-Hop RIS-Aided Multi-User Communications: A Minorization-Maximization Approach. SPAWC Zepeng Zhang, Ziping Zhao
2021	J	`jnl`	Weighted Sum-Rate Maximization for Multi-Hop RIS-Aided Multi-User Communications: A Minorization-Maximization Approach. CoRR Zepeng Zhang, Ziping Zhao
2020	Misc	`conf`	A Deep Learning-Aided Approach to Portfolio Design for Financial Index Tracking. ACSSC Zepeng Zhang, Ziping Zhao
2020	Misc	`conf`	Fusionndvi: A Novel Fusion Method for NDVI in Remote Sensing. ICASSP Mengliang ZHang, Ziping Zhao, Yuerong Chen, Zhongyuan Wang, Xin Tian
2020	—	`conf`	Joint Transmit Waveforms and Receive Filters Design for Large-Scale MIMO Beampattern Synthesis. SAM Ziping Zhao
2020	—	`conf`	Online Robust Reduced-Rank Regression. SAM Yangzhuoran Fin Yang, Ziping Zhao
2019	—	`conf`	Large-Scale Regularized Portfolio Selection Via Convex Optimization. GlobalSIP Ziping Zhao, Daniel P. Palomar
2019	J	`jnl`	Optimal Mean-Reverting Portfolio With Leverage Constraint for Statistical Arbitrage in Finance. IEEE Trans. Signal Process. Ziping Zhao, Rui Zhou, Daniel P. Palomar
2019	Misc	`conf`	Perturbed Projected Gradient Descent Converges to Approximate Second-order Points for Bound Constrained Nonconvex Problems. ICASSP Songtao Lu, Ziping Zhao, Kejun Huang, Mingyi Hong
2019	Misc	`conf`	Unified Framework for Minimax MIMO Transmit Beampattern Matching under Waveform Constraints. ICASSP Rui Zhou, Ziping Zhao, Daniel P. Palomar
2018	Misc	`conf`	Distributed optimization for Generalized Phase Retrieval Over Networks. ACSSC Ziping Zhao, Songtao Lu, Mingyi Hong, Daniel P. Palomar
2018	—	`conf`	Limited Feedback Double Directional Massive MIMO Channel Estimation: From Low-Rank Modeling to Deep Learning. SPAWC Haoran Sun, Ziping Zhao, Xiao Fu, Mingyi Hong
2018	Misc	`conf`	MIMO Transmit Beampattern Matching Under Waveform Constraints. ICASSP Ziping Zhao, Daniel P. Palomar
2018	J	`jnl`	MIMO Transmit Beampattern Matching Under Waveform Constraints. CoRR Ziping Zhao, Daniel P. Palomar
2018	J	`jnl`	Mean-Reverting Portfolio With Budget Constraint. IEEE Trans. Signal Process. Ziping Zhao, Daniel P. Palomar
2018	—	`conf`	Optimal Portfolio Design for Statistical Arbitrage in Finance. SSP Ziping Zhao, Rui Zhou, Zhongju Wang, Daniel P. Palomar
2018	J	`jnl`	Sparse Reduced Rank Regression With Nonconvex Regularization. CoRR Ziping Zhao, Daniel P. Palomar
2018	—	`conf`	Sparse Reduced Rank Regression with Nonconvex Regularization. SSP Ziping Zhao, Daniel P. Palomar
2017	J	`jnl`	Robust Maximum Likelihood Estimation of Sparse Vector Error Correction Model. CoRR Ziping Zhao, Daniel P. Palomar
2017	—	`conf`	Robust maximum likelihood estimation of sparse vector error correction model. GlobalSIP Ziping Zhao, Daniel P. Palomar
2016	Misc	`conf`	Mean-reverting portfolio design via majorization-minimization method. ACSSC Ziping Zhao, Daniel P. Palomar