Ziyan Luo

Orcid: 0000-0002-6091-0036

According to our database1, Ziyan Luo authored at least 32 papers between 2011 and 2024.

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Bibliography

2024
Multimodal sparse support tensor machine for multiple classification learning.
Int. J. Mach. Learn. Cybern., April, 2024

2023
Optimality conditions for Tucker low-rank tensor optimization.
Comput. Optim. Appl., December, 2023

Learning High-Order Multi-View Representation by New Tensor Canonical Correlation Analysis.
IEEE Trans. Circuits Syst. Video Technol., October, 2023

Normal Cones Intersection Rule and Optimality Analysis for Low-Rank Matrix Optimization with Affine Manifolds.
SIAM J. Optim., September, 2023

The analytic connectivity in uniform hypergraphs: Properties and computation.
Numer. Linear Algebra Appl., March, 2023

Chronosymbolic Learning: Efficient CHC Solving with Symbolic Reasoning and Inductive Learning.
CoRR, 2023

2022
Computing One-Bit Compressive Sensing via Double-Sparsity Constrained Optimization.
IEEE Trans. Signal Process., 2022

A Lagrange-Newton algorithm for sparse nonlinear programming.
Math. Program., 2022

Quaternion Matrix Optimization: Motivation and Analysis.
J. Optim. Theory Appl., 2022

Low Rank Approximation of Dual Complex Matrices.
CoRR, 2022

2D+3D facial expression recognition via embedded tensor manifold regularization.
CoRR, 2022

Tensor Manifold with Tucker Rank Constraints.
Asia Pac. J. Oper. Res., 2022

RLMob: Deep Reinforcement Learning for Successive Mobility Prediction.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

2021
A sparse tensor optimization approach for background subtraction from compressive measurements.
Multim. Tools Appl., 2021

ℓ2, 0-norm based selection and estimation for multivariate generalized linear models.
J. Multivar. Anal., 2021

SLRTA: A sparse and low-rank tensor-based approach to internet traffic anomaly detection.
Neurocomputing, 2021

Orthogonal tucker decomposition using factor priors for 2D+3D facial expression recognition.
IET Biom., 2021

Match Plan Generation in Web Search with Parameterized Action Reinforcement Learning.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Adaptive Prior-Dependent Correction Enhanced Reinforcement Learning for Natural Language Generation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Predicting Human Mobility via Attentive Convolutional Network.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

2019
FERLrTc: 2D+3D facial expression recognition via low-rank tensor completion.
Signal Process., 2019

Solving the OSCAR and SLOPE Models Using a Semismooth Newton-Based Augmented Lagrangian Method.
J. Mach. Learn. Res., 2019

High-Dimensional Least-Squares with Perfect Positive Correlation.
Asia Pac. J. Oper. Res., 2019

An ${\ell}_{0}$ -Norm Minimization for Energy-Efficient Timetabling in Subway Systems.
IEEE Access, 2019

2017
The sparsest solutions to Z-tensor complementarity problems.
Optim. Lett., 2017

Restricted Robinson Constraint Qualification and Optimality for Cardinality-Constrained Cone Programming.
J. Optim. Theory Appl., 2017

2016
Completely Positive Tensors: Properties, Easily Checkable Subclasses, and Tractable Relaxations.
SIAM J. Matrix Anal. Appl., 2016

Low-order penalty equations for semidefinite linear complementarity problems.
Oper. Res. Lett., 2016

2014
The Nonnegative Zero-Norm Minimization Under Generalized Z-Matrix Measurement.
J. Optim. Theory Appl., 2014

2013
The dominant eigenvalue of an essentially nonnegative tensor.
Numer. Linear Algebra Appl., 2013

New RIC Bounds via l_q-minimization with 0<q<=1 in Compressed Sensing.
CoRR, 2013

2011
A regularized strong duality for nonsymmetric semidefinite least squares problem.
Optim. Lett., 2011


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