Mean-reverting portfolio design via majorization-minimization method. - Ziping Zhao 002; Daniel P. Palomar (ACSSC, 2016)

Robust maximum likelihood estimation of sparse vector error correction model. - Ziping Zhao 002; Daniel P. Palomar (GlobalSIP, 2017)

Distributed optimization for Generalized Phase Retrieval Over Networks. - Ziping Zhao 002; Songtao Lu; Mingyi Hong 001; Daniel P. Palomar (ACSSC, 2018)

MIMO Transmit Beampattern Matching Under Waveform Constraints. - Ziping Zhao 002; Daniel P. Palomar (ICASSP, 2018)

Limited Feedback Double Directional Massive MIMO Channel Estimation: From Low-Rank Modeling to Deep Learning. - Haoran Sun; Ziping Zhao 002; Xiao Fu 001; Mingyi Hong 001 (SPAWC, 2018)

Sparse Reduced Rank Regression with Nonconvex Regularization. - Ziping Zhao 002; Daniel P. Palomar (SSP, 2018)

Optimal Portfolio Design for Statistical Arbitrage in Finance. - Ziping Zhao 002; Rui Zhou; Zhongju Wang 001; Daniel P. Palomar (SSP, 2018)

Mean-Reverting Portfolio With Budget Constraint. - Ziping Zhao 002; Daniel P. Palomar (IEEE Trans. Signal Process., 2018)

Large-Scale Regularized Portfolio Selection Via Convex Optimization. - Ziping Zhao 002; Daniel P. Palomar (GlobalSIP, 2019)

Perturbed Projected Gradient Descent Converges to Approximate Second-order Points for Bound Constrained Nonconvex Problems. - Songtao Lu; Ziping Zhao 002; Kejun Huang; Mingyi Hong 001 (ICASSP, 2019)

Unified Framework for Minimax MIMO Transmit Beampattern Matching under Waveform Constraints. - Rui Zhou; Ziping Zhao 002; Daniel P. Palomar (ICASSP, 2019)

Optimal Mean-Reverting Portfolio With Leverage Constraint for Statistical Arbitrage in Finance. - Ziping Zhao 002; Rui Zhou; Daniel P. Palomar (IEEE Trans. Signal Process., 2019)

A Deep Learning-Aided Approach to Portfolio Design for Financial Index Tracking. - Zepeng Zhang; Ziping Zhao 002 (ACSSC, 2020)

Fusionndvi: A Novel Fusion Method for NDVI in Remote Sensing. - Mengliang Zhang; Ziping Zhao 002; Yuerong Chen; Zhongyuan Wang 001; Xin Tian 006 (ICASSP, 2020)

Online Robust Reduced-Rank Regression. - Yangzhuoran Fin Yang; Ziping Zhao 002 (SAM, 2020)

Joint Transmit Waveforms and Receive Filters Design for Large-Scale MIMO Beampattern Synthesis. - Ziping Zhao 002 (SAM, 2020)

Multi-Period Portfolio Optimization for Index Tracking in Finance. - Xiuyuan Huang; Zepeng Zhang; Ziping Zhao 002 (ACSCC, 2021)

Sparse Reduced-Rank Regression With Adaptive Selection of Groups of Predictors. - Quan Wei 001; Yujia Zhang; Ziping Zhao 002 (ACSCC, 2021)

Vast Portfolio Selection With Submodular Norm Regularizations. - Zepeng Zhang; Ziping Zhao 002 (EUSIPCO, 2021)

Weighted Sum-Rate Maximization for Multi-Hop RIS-Aided Multi-User Communications: A Minorization-Maximization Approach. - Zepeng Zhang; Ziping Zhao 002 (SPAWC, 2021)

Globally Convergent Algorithms for Learning Multivariate Generalized Gaussian Distributions. - Bin Wang 017; Huanyu Zhang; Ziping Zhao 002; Ying Sun (SSP, 2021)

Scalable Financial Index Tracking with Graph Neural Networks. - Zepeng Zhang; Ziping Zhao 002 (SSP, 2021)

Joint Design of Transmit Waveforms and Receive Filters for MIMO Radar via Manifold Optimization. - Huanyu Zhang; Ziping Zhao 002 (CoRR, 2021)

Towards Understanding Graph Neural Networks: An Algorithm Unrolling Perspective. - Zepeng Zhang; Ziping Zhao 002 (CoRR, 2022)

ASGNN: Graph Neural Networks with Adaptive Structure. - Zepeng Zhang; Songtao Lu; Zengfeng Huang; Ziping Zhao 002 (CoRR, 2022)

Large Covariance Matrix Estimation with Oracle Statistical Rate. - Quan Wei 001; Ziping Zhao 002 (ICASSP, 2023)

Enhancing the Efficiency of WMMSE and FP for Beamforming by Minorization-Maximization. - Zepeng Zhang; Ziping Zhao 002; Kaiming Shen (ICASSP, 2023)

A Novel Algorithm for GARCH Model Estimation. - Chenyu Gao; Ziping Zhao 002; Daniel P. Palomar (SSP, 2023)

Efficient Sparse Reduced-Rank Regression With Covariance Estimation. - Fengpei Li; Ziping Zhao 002 (SSP, 2023)

C-ISTA: Iterative Shrinkage-Thresholding Algorithm for Sparse Covariance Matrix Estimation. - Wenfu Xia; Ziping Zhao 002; Ying Sun (SSP, 2023)

Discerning and Enhancing the Weighted Sum-Rate Maximization Algorithms in Communications. - Zepeng Zhang; Ziping Zhao 002; Kaiming Shen; Daniel P. Palomar; Wei Yu 001 (CoRR, 2023)

On Convergence Rates of Quadratic Transform and WMMSE Methods. - Kaiming Shen; Ziping Zhao 002; Yannan Chen; Zepeng Zhang; Hei Victor Cheng (CoRR, 2023)

Large Covariance Matrix Estimation With Oracle Statistical Rate via Majorization-Minimization. - Quan Wei 001; Ziping Zhao 002 (IEEE Trans. Signal Process., 2023)

Sparse Blind Deconvolution and Demixing via Block Majorization-Minimization. - Mengting Chen; Ziping Zhao 002 (APSIPA, 2024)

A Joint Graph Signal and Laplacian Denoising Network. - Zepeng Zhang; Ziping Zhao 002 (APSIPA, 2024)

Joint Blind Deconvolution And Demixing Of Sparse Signals Via Factorization And Nonconvex Optimization. - Mengting Chen; Ziping Zhao 002 (ICASSP, 2024)

Accelerating Gradient Descent for Over-Parameterized Asymmetric Low-Rank Matrix Sensing via Preconditioning. - Cheng Cheng; Ziping Zhao 002 (ICASSP, 2024)

Large Covariance Matrix Estimation Based on Factor Models via Nonconvex Optimization. - Shanshan Zou; Ziping Zhao 002 (ICASSP, 2024)

Two-Way Sparse Reduced-Rank Regression via Scaled Gradient Descent with Hard Thresholding. - Cheng Cheng; Ziping Zhao 002 (SAM, 2024)

High-Dimensional Constrained Huber Regression. - Quan Wei 001; Ziping Zhao 002 (SAM, 2024)

Distributed Sparse Covariance Matrix Estimation. - Wenfu Xia; Ziping Zhao 002; Ying Sun (SAM, 2024)

Efficient Nonconvex Optimization for Two-way Sparse Reduced-Rank Regression. - Cheng Cheng; Ziping Zhao 002 (ISIT, 2024)

Guaranteed Robust Large Precision Matrix Estimation Under t-Distribution. - Fengpei Li; Ziping Zhao 002 (ISIT, 2024)

Geometric Analysis of Non-Convex Optimization Landscapes for Robust M-Estimation of Location. - Hongyuan Yang; Ziping Zhao 002; Ying Sun (ITW, 2024)

Improved Stability Bounds for Graph Convolutional Neural Networks Under Graph Perturbations. - Jun Zhang; Ziping Zhao 002 (ITW, 2024)

Accelerating Quadratic Transform and WMMSE. - Kaiming Shen; Ziping Zhao 002; Yannan Chen; Zepeng Zhang; Hei Victor Cheng (IEEE J. Sel. Areas Commun., 2024)

Covariance Selection over Networks. - Wenfu Xia; Fengpei Li; Ying Sun; Ziping Zhao 002 (AISTATS, 2025)

Beyond Jensen's Inequality: Speeding Up ML Estimation of Generalized Hyperbolic Distributions. - Chenyu Gao; Ziping Zhao 002 (ICASSP, 2025)

Sparse PCA with Oracle Rate in High Dimensions. - Wenfu Zhong; Ziping Zhao 002 (ICASSP, 2025)

Large Covariance Matrix Estimation for Groups of Highly Correlated Variables via Nonconvex Optimization. - Shanshan Zou; Ziping Zhao 002 (ICASSP, 2025)

Graph Neural Networks With Adaptive Structures. - Zepeng Zhang; Songtao Lu; Zengfeng Huang; Ziping Zhao 002 (IEEE J. Sel. Top. Signal Process., 2025)