Ziping Zhao
Group News
Dec. 2023 | Three papers have been accepted by ICASSP 2024.
“Accelerating Gradient Descent for Over-parameterized Asymmetric Low-rank Matrix Sensing via Preconditioning” (with Cheng)
“Joint Blind Deconvolution and Demixing of Sparse Signals via Factorization and Nonconvex Optimization” (with Mengting)
“Large Covariance Matrix Estimation Based on Factor Models via Nonconvex Optimization” (with Shanshan)
Dec. 2023 | Our work entitled “On Convergence Rates of Quadratic Transform and WMMSE Methods” has been made available; see the preprint here.
Nov. 2023 | Our work entitled “Discerning and Enhancing the Weighted Sum-Rate Maximization Algorithms in Communications” has been made available; see the preprint here.
Aug. 2023 | The paper “Large Covariance Matrix Estimation With Oracle Statistical Rate via Majorization-Minimization” (with Quan) has been accepted by IEEE Transactions on Signal Processing.
Jun. 2023 | Paper by Quan Wei entitled “Large Covariance Matrix Estimation With Oracle Statistical Rate” has been selected as the Best Student Paper Award in IEEE ICASSP 2023. Congratulations! See the ICASSP news page.
May 2023 | Prof. Wei Hu from Peking University, China visited my group and gave a talk in SIST Seminar on “Graph Signal Processing and Graph Machine Learning”.
May 2023 | Mr. Zepeng Zhang has successfully defended his master thesis “Optimization Induced Graph Neural Networks”. Congratulations! He will continue his Ph.D. study in École Polytechnique Fédérale de Lausanne (EPFL), Switzerland.
Apr. 2023 | Three papers have been accepted by SSP 2023.
“A Novel Algorithm for GARCH Model Estimation” (with Chenyu and Daniel)
“C-ISTA: Iterative Shrinkage-Thresholding Algorithm for Sparse Covariance Matrix Estimation” (with Wenfu and Ying)
“Efficient Sparse Reduced-Rank Regression With Covariance Estimation” (with Fengpei)
Feb. 2023 | Two papers have been accepted by ICASSP 2023.
“Large Covariance Matrix Estimation With Oracle Statistical Rate” (with Quan) (Top 3% Recognition)
“Enhancing the Efficiency of WMMSE and FP for Beamforming by Minorization-Maximization” (with Zepeng and Kaiming)
The editor wrote that “It's kind of amazing that there still are some new possibilities to successfully twist this old but significant problem.”
Dec. 2022 | Our work entitled “Large Covariance Matrix Estimation With Oracle Statistical Rate via Majorization-Minimization” has been made available.
Oct. 2022 | Our work entitled “ASGNN: Graph Neural Networks With Adaptive Structure” has been made available; see the preprint here. In this work, we proposed a robust graph neural network model based on an optimization problem which aims at simultaneously denoising the graph signal and the graph structure.
Sep. 2022 | Prof. Siheng Chen from Shanghai Jiaotong University, China visited my group and gave a talk in SIST Seminar on “Multi-Agent Graph Learning”.
Jun. 2022 | Prof. Quanming Yao from Tsinghua University, China gave a talk in SIST Seminar on “Hyper-parameter Learning in Knowledge Graphs”.
Jun. 2022 | One paper has been accepted by SIGKDD-DLG 2022.
“Designing Graph Neural Networks via Algorithm Unrolling” (with Zepeng)
Jun. 2022 | Dr. Yatao Bian from Tecent AI Lab, China gave a talk in SIST Seminar on “Energy-Based Learning for Cooperative Games”.
May 2022 | Thesis by Mr. Xiuyuan Huang was selected as the Best SIST Undergraduate Thesis Award (First Runner-Up).
Jan. 2022 | Our work entitled “Towards Understanding Graph Neural Networks: An Algorithm Unrolling Perspective” has been made available; see the preprint here. In this work, we bridged the Graph Neural Network (GNN) models and the Graph Signal Denoising (GSD) problems based on an optimization perspective and the algorithm unrolling/unfolding technique.
Dec. 2021 | Dr. Junxiao Song from inspir.ai, China gave a talk in SIST Seminar on “Deep Reinforcement Learning for Game AI”.
Dec. 2021 | Our work entitled “Rate Maximizations for Reconfigurable Intelligent Surface-Aided Wireless Networks: A Unified Framework via Block Minorization-Maximization” has been made available; see the preprint here. In this work, we proposed a unified and convergent algorithmic framework to solve a class of rate maximization problems for general RIS/IRS-aided wireless networks achieving the SOTA performance.
Sep. 2021 | Paper by Zepeng Zhang entitled “Weighted Sum-Rate Maximization for Multi-Hop RIS-Aided Multi-User Communications: A Minorization-Maximization Approach” has been selected as the Best Student Paper Award Finalist in IEEE SPAWC 2021. Congratulations!
Jul. 2021 | Three papers have been accepted by Asilomar 2021.
“Sparse Reduced-Rank Regression With Adaptive Selection of Groups of Predictors” (with Quan and Yujia)
“Multi-Period Portfolio Optimization for Index Tracking in Finance” (with Xiuyuan and Zepeng)
“Waveform Design for Mutual Information Maximization via Minorization-Maximization”” (with Huanyu)
Jul. 2021 | One paper has been accepted by SPAWC 2021.
“Weighted Sum-Rate Maximization for Multi-Hop RIS-Aided Multi-User Communications: A Minorization-Maximization Approach” (with Zepeng)
Jun. 2021 | Mr. Weicong Liu from Jiwei Fund, China visited my group and gave a talk in SIST Seminar on “Financial Machine Learning”.
May 2021 | Two papers have been accepted by SSP 2021.
“Globally Convergent Algorithms For Learning Multivariate Generalized Gaussian Distributions” (with Bin, Huanyu, and Ying)
“Scalable Financial Index Tracking With Graph Neural Networks” (with Zepeng)
May 2021 | Two papers have been accepted by EURASIP EUSIPCO 2021.
“Vast Portfolio Selection With Submodular Norm Regularization” (with Zepeng)
Mar. 2021 | Prof. Gang Wang from Beijing Institute of Technology, China visited my group and gave a talk in SIST Seminar on “Theory of Deep Learning and Temporal Difference (TD) Learning”.
Nov. 2020 | Dr. Lei Cheng from Shenzhen Research Institute of Big Data, China gave a talk in SIST Seminar on “Structured Tensor Decompositions in Big Data Analytics”.
Aug. 2020 | One paper has been accepted by Asilomar 2020.
“A Deep Learning-Aided Approach to Portfolio Design for Financial Index Tracking” (with Zepeng)
Jul. 2020 | Yao Zhao from ShanghaiTech University, China has joined the group as a Research Assistant. Welcome!
May 2020 | Paper by Fin Yang entitled “Online Robust Reduced-Rank Regression” has been selected as the Best Student Paper Award Finalist in IEEE SAM 2020. Congratulations!
Mar. 2020 | The R package for robust reduced-rank nonlinear modeling with streaming data (RRRR) has been published in CRAN.
Mar. 2020 | Yujia Zhang from East China Normal University, China has joined the group. Welcome!
Mar. 2020 | Two papers have been accepted by IEEE SAM 2020.
“Online Robust Reduced-Rank Regression” (with Fin)
“Joint Transmit Waveforms and Receive Filters Design for Large-Scale MIMO Beampattern Synthesis”
Jan. 2020 | One paper has been accepted by IEEE ICASSP 2020.
“FusionNDVI: A Novel Fusion Method for NDVI in Remote Sensing” (with Mengliang, Yuerong, Zhongyuan, and Xin)
Dec. 2019 | Dr. Ying Sun from Purdue University, USA visited my group and gave a talk in SIST Seminar on the topic “Collaborative Statistical Learning: Algorithms and Guarantees”.
Dec. 2019 | Fin Yang from Monash University, Australia has joined the group. Welcome!
Dec. 2019 | Zepeng Zhang from Wuhan University, China has joined the group. Welcome!