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Ziping Zhao 0002

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

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2020 – today

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2025
[j5]
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Zepeng Zhang, Songtao Lu, Zengfeng Huang, Ziping Zhao:
Graph Neural Networks With Adaptive Structures. IEEE J. Sel. Top. Signal Process. 19(1): 181-194 (2025)
2024
[j4]
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Kaiming Shen, Ziping Zhao, Yannan Chen, Zepeng Zhang, Hei Victor Cheng:
Accelerating Quadratic Transform and WMMSE. IEEE J. Sel. Areas Commun. 42(11): 3110-3124 (2024)
[c34]
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Mengting Chen, Ziping Zhao:
Sparse Blind Deconvolution and Demixing via Block Majorization-Minimization. APSIPA 2024: 1-6
[c33]
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Zepeng Zhang, Ziping Zhao:
A Joint Graph Signal and Laplacian Denoising Network. APSIPA 2024: 1-5
[c32]
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Cheng Cheng, Ziping Zhao:
Accelerating Gradient Descent for Over-Parameterized Asymmetric Low-Rank Matrix Sensing via Preconditioning. ICASSP 2024: 7705-7709
[c31]
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Mengting Chen, Ziping Zhao:
Joint Blind Deconvolution And Demixing Of Sparse Signals Via Factorization And Nonconvex Optimization. ICASSP 2024: 9176-9180
[c30]
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Cheng Cheng, Ziping Zhao:
Two-Way Sparse Reduced-Rank Regression via Scaled Gradient Descent with Hard Thresholding. SAM 2024: 1-5
[c29]
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Quan Wei, Ziping Zhao:
High-Dimensional Constrained Huber Regression. SAM 2024: 1-5
[c28]
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Wenfu Xia, Ziping Zhao, Ying Sun:
Distributed Sparse Covariance Matrix Estimation. SAM 2024: 1-5
[c27]
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Kaiming Shen, Ziping Zhao, Yannan Chen, Zepeng Zhang, Hei Victor Cheng:
Accelerating Quadratic Transform and WMMSE. ISIT 2024: 1794-1799
[c26]
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Fengpei Li, Ziping Zhao:
Guaranteed Robust Large Precision Matrix Estimation Under t-Distribution. ISIT 2024: 3414-3419
2023
[j3]
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  - journals/tsp/WeiZ23
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Quan Wei, Ziping Zhao:
Large Covariance Matrix Estimation With Oracle Statistical Rate via Majorization-Minimization. IEEE Trans. Signal Process. 71: 3328-3342 (2023)
[c25]
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Quan Wei, Ziping Zhao:
Large Covariance Matrix Estimation with Oracle Statistical Rate. ICASSP 2023: 1-5
[c24]
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Zepeng Zhang, Ziping Zhao, Kaiming Shen:
Enhancing the Efficiency of WMMSE and FP for Beamforming by Minorization-Maximization. ICASSP 2023: 1-5
[c23]
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Fengpei Li, Ziping Zhao:
Efficient Sparse Reduced-Rank Regression With Covariance Estimation. SSP 2023: 46-50
[c22]
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Chenyu Gao, Ziping Zhao, Daniel P. Palomar:
A Novel Algorithm for GARCH Model Estimation. SSP 2023: 210-214
[c21]
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Wenfu Xia, Ziping Zhao, Ying Sun:
C-ISTA: Iterative Shrinkage-Thresholding Algorithm for Sparse Covariance Matrix Estimation. SSP 2023: 215-219
[i9]
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  - journals/corr/abs-2311-04546
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Zepeng Zhang, Ziping Zhao, Kaiming Shen, Daniel P. Palomar, Wei Yu:
Discerning and Enhancing the Weighted Sum-Rate Maximization Algorithms in Communications. CoRR abs/2311.04546 (2023)
[i8]
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  - journals/corr/abs-2312-05726
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Kaiming Shen, Ziping Zhao, Yannan Chen, Zepeng Zhang, Hei Victor Cheng:
On Convergence Rates of Quadratic Transform and WMMSE Methods. CoRR abs/2312.05726 (2023)
2022
[i7]
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  - journals/corr/abs-2206-04471
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Zepeng Zhang, Ziping Zhao:
Towards Understanding Graph Neural Networks: An Algorithm Unrolling Perspective. CoRR abs/2206.04471 (2022)
[i6]
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  - journals/corr/abs-2210-01002
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Zepeng Zhang, Songtao Lu, Zengfeng Huang, Ziping Zhao:
ASGNN: Graph Neural Networks with Adaptive Structure. CoRR abs/2210.01002 (2022)
2021
[c20]
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Quan Wei, Yujia Zhang, Ziping Zhao:
Sparse Reduced-Rank Regression With Adaptive Selection of Groups of Predictors. ACSCC 2021: 145-149
[c19]
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Xiuyuan Huang, Zepeng Zhang, Ziping Zhao:
Multi-Period Portfolio Optimization for Index Tracking in Finance. ACSCC 2021: 1383-1387
[c18]
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Zepeng Zhang, Ziping Zhao:
Vast Portfolio Selection With Submodular Norm Regularizations. EUSIPCO 2021: 2099-2103
[c17]
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Zepeng Zhang, Ziping Zhao:
Weighted Sum-Rate Maximization for Multi-Hop RIS-Aided Multi-User Communications: A Minorization-Maximization Approach. SPAWC 2021: 106-110
[c16]
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  - conf/ssp/WangZZS21
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Bin Wang, Huanyu Zhang, Ziping Zhao, Ying Sun:
Globally Convergent Algorithms for Learning Multivariate Generalized Gaussian Distributions. SSP 2021: 336-340
[c15]
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Zepeng Zhang, Ziping Zhao:
Scalable Financial Index Tracking with Graph Neural Networks. SSP 2021: 546-550
[i5]
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  - journals/corr/abs-2102-05457
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Huanyu Zhang, Ziping Zhao:
Joint Design of Transmit Waveforms and Receive Filters for MIMO Radar via Manifold Optimization. CoRR abs/2102.05457 (2021)
[i4]
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  - journals/corr/abs-2105-02395
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Zepeng Zhang, Ziping Zhao:
Weighted Sum-Rate Maximization for Multi-Hop RIS-Aided Multi-User Communications: A Minorization-Maximization Approach. CoRR abs/2105.02395 (2021)
2020
[c14]
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  - conf/acssc/ZhangZ20
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Zepeng Zhang, Ziping Zhao:
A Deep Learning-Aided Approach to Portfolio Design for Financial Index Tracking. ACSSC 2020: 200-204
[c13]
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  - conf/icassp/ZhangZCW020
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Mengliang Zhang, Ziping Zhao, Yuerong Chen, Zhongyuan Wang, Xin Tian:
Fusionndvi: A Novel Fusion Method for NDVI in Remote Sensing. ICASSP 2020: 4816-4820
[c12]
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  - conf/ieeesam/YangZ20
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Yangzhuoran Fin Yang, Ziping Zhao:
Online Robust Reduced-Rank Regression. SAM 2020: 1-5
[c11]
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  - conf/ieeesam/Zhao20
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Ziping Zhao:
Joint Transmit Waveforms and Receive Filters Design for Large-Scale MIMO Beampattern Synthesis. SAM 2020: 1-5

2010 – 2019

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2019
[j2]
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  - journals/tsp/ZhaoZP19
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Ziping Zhao, Rui Zhou, Daniel P. Palomar:
Optimal Mean-Reverting Portfolio With Leverage Constraint for Statistical Arbitrage in Finance. IEEE Trans. Signal Process. 67(7): 1681-1695 (2019)
[c10]
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Ziping Zhao, Daniel P. Palomar:
Large-Scale Regularized Portfolio Selection Via Convex Optimization. GlobalSIP 2019: 1-5
[c9]
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  - conf/icassp/ZhouZP19
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Rui Zhou, Ziping Zhao, Daniel P. Palomar:
Unified Framework for Minimax MIMO Transmit Beampattern Matching under Waveform Constraints. ICASSP 2019: 4150-4154
[c8]
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  - conf/icassp/LuZHH19
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Songtao Lu, Ziping Zhao, Kejun Huang, Mingyi Hong:
Perturbed Projected Gradient Descent Converges to Approximate Second-order Points for Bound Constrained Nonconvex Problems. ICASSP 2019: 5356-5360
2018
[j1]
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Ziping Zhao, Daniel P. Palomar:
Mean-Reverting Portfolio With Budget Constraint. IEEE Trans. Signal Process. 66(9): 2342-2357 (2018)
[c7]
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  - conf/acssc/ZhaoLHP18
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Ziping Zhao, Songtao Lu, Mingyi Hong, Daniel P. Palomar:
Distributed optimization for Generalized Phase Retrieval Over Networks. ACSSC 2018: 48-52
[c6]
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Ziping Zhao, Daniel P. Palomar:
MIMO Transmit Beampattern Matching Under Waveform Constraints. ICASSP 2018: 3281-3285
[c5]
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  - conf/spawc/SunZ0H18
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Haoran Sun, Ziping Zhao, Xiao Fu, Mingyi Hong:
Limited Feedback Double Directional Massive MIMO Channel Estimation: From Low-Rank Modeling to Deep Learning. SPAWC 2018: 1-5
[c4]
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Ziping Zhao, Rui Zhou, Zhongju Wang, Daniel P. Palomar:
Optimal Portfolio Design for Statistical Arbitrage in Finance. SSP 2018: 801-805
[c3]
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Ziping Zhao, Daniel P. Palomar:
Sparse Reduced Rank Regression with Nonconvex Regularization. SSP 2018: 811-815
[i3]
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  - journals/corr/abs-1802-06957
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Ziping Zhao, Daniel P. Palomar:
MIMO Transmit Beampattern Matching Under Waveform Constraints. CoRR abs/1802.06957 (2018)
[i2]
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  - journals/corr/abs-1803-07247
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Ziping Zhao, Daniel P. Palomar:
Sparse Reduced Rank Regression With Nonconvex Regularization. CoRR abs/1803.07247 (2018)
2017
[c2]
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Ziping Zhao, Daniel P. Palomar:
Robust maximum likelihood estimation of sparse vector error correction model. GlobalSIP 2017: 913-917
[i1]
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  - journals/corr/abs-1710-05513
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Ziping Zhao, Daniel P. Palomar:
Robust Maximum Likelihood Estimation of Sparse Vector Error Correction Model. CoRR abs/1710.05513 (2017)
2016
[c1]
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Ziping Zhao, Daniel P. Palomar:
Mean-reverting portfolio design via majorization-minimization method. ACSSC 2016: 1530-1534

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