Ziping Zhao

Orcid: 0000-0002-8668-6263

Affiliations:
  • ShanghaiTech University, School of Information Science and Technology (SIST), Shanghai, China
  • Hong Kong University of Science and Technology (HKUST), Hong Kong (PhD 2019)


According to our database1, Ziping Zhao authored at least 40 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Accelerating Quadratic Transform and WMMSE.
IEEE J. Sel. Areas Commun., November, 2024

Guaranteed Robust Large Precision Matrix Estimation Under t-Distribution.
Proceedings of the IEEE International Symposium on Information Theory, 2024

Distributed Sparse Covariance Matrix Estimation.
Proceedings of the 13th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2024

High-Dimensional Constrained Huber Regression.
Proceedings of the 13th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2024

Two-Way Sparse Reduced-Rank Regression via Scaled Gradient Descent with Hard Thresholding.
Proceedings of the 13th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2024

Accelerating Gradient Descent for Over-Parameterized Asymmetric Low-Rank Matrix Sensing via Preconditioning.
Proceedings of the IEEE International Conference on Acoustics, 2024

Joint Blind Deconvolution And Demixing Of Sparse Signals Via Factorization And Nonconvex Optimization.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Large Covariance Matrix Estimation With Oracle Statistical Rate via Majorization-Minimization.
IEEE Trans. Signal Process., 2023

On Convergence Rates of Quadratic Transform and WMMSE Methods.
CoRR, 2023

Discerning and Enhancing the Weighted Sum-Rate Maximization Algorithms in Communications.
CoRR, 2023

C-ISTA: Iterative Shrinkage-Thresholding Algorithm for Sparse Covariance Matrix Estimation.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2023

Efficient Sparse Reduced-Rank Regression With Covariance Estimation.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2023

A Novel Algorithm for GARCH Model Estimation.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2023

Enhancing the Efficiency of WMMSE and FP for Beamforming by Minorization-Maximization.
Proceedings of the IEEE International Conference on Acoustics, 2023

Large Covariance Matrix Estimation with Oracle Statistical Rate.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
ASGNN: Graph Neural Networks with Adaptive Structure.
CoRR, 2022

Towards Understanding Graph Neural Networks: An Algorithm Unrolling Perspective.
CoRR, 2022

2021
Joint Design of Transmit Waveforms and Receive Filters for MIMO Radar via Manifold Optimization.
CoRR, 2021

Scalable Financial Index Tracking with Graph Neural Networks.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

Globally Convergent Algorithms for Learning Multivariate Generalized Gaussian Distributions.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

Weighted Sum-Rate Maximization for Multi-Hop RIS-Aided Multi-User Communications: A Minorization-Maximization Approach.
Proceedings of the 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2021

Vast Portfolio Selection With Submodular Norm Regularizations.
Proceedings of the 29th European Signal Processing Conference, 2021

Sparse Reduced-Rank Regression With Adaptive Selection of Groups of Predictors.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

Multi-Period Portfolio Optimization for Index Tracking in Finance.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020
Joint Transmit Waveforms and Receive Filters Design for Large-Scale MIMO Beampattern Synthesis.
Proceedings of the 11th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2020

Online Robust Reduced-Rank Regression.
Proceedings of the 11th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2020

Fusionndvi: A Novel Fusion Method for NDVI in Remote Sensing.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

A Deep Learning-Aided Approach to Portfolio Design for Financial Index Tracking.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019
Optimal Mean-Reverting Portfolio With Leverage Constraint for Statistical Arbitrage in Finance.
IEEE Trans. Signal Process., 2019

Unified Framework for Minimax MIMO Transmit Beampattern Matching under Waveform Constraints.
Proceedings of the IEEE International Conference on Acoustics, 2019

Perturbed Projected Gradient Descent Converges to Approximate Second-order Points for Bound Constrained Nonconvex Problems.
Proceedings of the IEEE International Conference on Acoustics, 2019

Large-Scale Regularized Portfolio Selection Via Convex Optimization.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

2018
Mean-Reverting Portfolio With Budget Constraint.
IEEE Trans. Signal Process., 2018

Optimal Portfolio Design for Statistical Arbitrage in Finance.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Sparse Reduced Rank Regression with Nonconvex Regularization.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Limited Feedback Double Directional Massive MIMO Channel Estimation: From Low-Rank Modeling to Deep Learning.
Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018

MIMO Transmit Beampattern Matching Under Waveform Constraints.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Distributed optimization for Generalized Phase Retrieval Over Networks.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
Robust maximum likelihood estimation of sparse vector error correction model.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

2016
Mean-reverting portfolio design via majorization-minimization method.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016


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