A regularized strong duality for nonsymmetric semidefinite least squares problem. - Yingnan Wang; Naihua Xiu; Ziyan Luo (Optim. Lett., 2011)

New RIC Bounds via l_q-minimization with 0<q<=1 in Compressed Sensing. - Shenglong Zhou 001; Lingchen Kong; Ziyan Luo; Naihua Xiu (CoRR, 2013)

The dominant eigenvalue of an essentially nonnegative tensor. - Liping Zhang; Liqun Qi 001; Ziyan Luo; Yi Xu (Numer. Linear Algebra Appl., 2013)

The Nonnegative Zero-Norm Minimization Under Generalized Z-Matrix Measurement. - Ziyan Luo; Linxia Qin; Lingchen Kong; Naihua Xiu (J. Optim. Theory Appl., 2014)

Low-order penalty equations for semidefinite linear complementarity problems. - Chen Zhao; Ziyan Luo; Naihua Xiu (Oper. Res. Lett., 2016)

Completely Positive Tensors: Properties, Easily Checkable Subclasses, and Tractable Relaxations. - Ziyan Luo; Liqun Qi 001 (SIAM J. Matrix Anal. Appl., 2016)

Restricted Robinson Constraint Qualification and Optimality for Cardinality-Constrained Cone Programming. - Lili Pan 003; Ziyan Luo; Naihua Xiu (J. Optim. Theory Appl., 2017)

The sparsest solutions to Z-tensor complementarity problems. - Ziyan Luo; Liqun Qi 001; Naihua Xiu (Optim. Lett., 2017)

An ${ ell}_{0}$ -Norm Minimization for Energy-Efficient Timetabling in Subway Systems. - Ziyan Luo; Xiaotong Yu; Xiaoyu Li (IEEE Access, 2019)

High-Dimensional Least-Squares with Perfect Positive Correlation. - Zhiyong Huang; Ziyan Luo; Naihua Xiu (Asia Pac. J. Oper. Res., 2019)

Solving the OSCAR and SLOPE Models Using a Semismooth Newton-Based Augmented Lagrangian Method. - Ziyan Luo; Defeng Sun; Kim-Chuan Toh; Naihua Xiu (J. Mach. Learn. Res., 2019)

FERLrTc: 2D+3D facial expression recognition via low-rank tensor completion. - Yunfang Fu; Qiuqi Ruan; Ziyan Luo; Yi Jin 001; Gaoyun An; Jun Wan 001 (Signal Process., 2019)

Predicting Human Mobility via Attentive Convolutional Network. - Congcong Miao; Ziyan Luo; Fengzhu Zeng; Jilong Wang 001 (WSDM, 2020)

Adaptive Prior-Dependent Correction Enhanced Reinforcement Learning for Natural Language Generation. - Wei Cheng; Ziyan Luo; Qiyue Yin (AAAI, 2021)

Match Plan Generation in Web Search with Parameterized Action Reinforcement Learning. - Ziyan Luo; Linfeng Zhao; Wei Cheng; Sihao Chen; Qi Chen 009; Hui Xue 004; Haidong Wang; Chuanjie Liu; Mao Yang 004; Lintao Zhang (WWW, 2021)

Orthogonal tucker decomposition using factor priors for 2D+3D facial expression recognition. - Yunfang Fu; Qiuqi Ruan; Ziyan Luo; Gaoyun An; Yi Jin 001 (IET Biom., 2021)

SLRTA: A sparse and low-rank tensor-based approach to internet traffic anomaly detection. - Xiaotong Yu; Ziyan Luo; Liqun Qi 001; Yanwei Xu (Neurocomputing, 2021)

ℓ2, 0-norm based selection and estimation for multivariate generalized linear models. - Yang Chen; Ziyan Luo; Lingchen Kong (J. Multivar. Anal., 2021)

A sparse tensor optimization approach for background subtraction from compressive measurements. - Xiaotong Yu; Ziyan Luo (Multim. Tools Appl., 2021)

RLMob: Deep Reinforcement Learning for Successive Mobility Prediction. - Ziyan Luo; Congcong Miao (WSDM, 2022)

Tensor Manifold with Tucker Rank Constraints. - Shih Yu Chang; Ziyan Luo; Liqun Qi 001 (Asia Pac. J. Oper. Res., 2022)

2D+3D facial expression recognition via embedded tensor manifold regularization. - Yunfang Fu; Qiuqi Ruan; Ziyan Luo; Gaoyun An; Yi Jin 001; Jun Wan 001 (CoRR, 2022)

Low Rank Approximation of Dual Complex Matrices. - Liqun Qi 001; David M. Alexander; Zhongming Chen; Chen Ling 001; Ziyan Luo (CoRR, 2022)

Quaternion Matrix Optimization: Motivation and Analysis. - Liqun Qi 001; Ziyan Luo; Qing-Wen Wang 001; Xinzhen Zhang (J. Optim. Theory Appl., 2022)

A Lagrange-Newton algorithm for sparse nonlinear programming. - Chen Zhao; Naihua Xiu; Houduo Qi; Ziyan Luo (Math. Program., 2022)

Computing One-Bit Compressive Sensing via Double-Sparsity Constrained Optimization. - Shenglong Zhou 001; Ziyan Luo; Naihua Xiu; Geoffrey Ye Li (IEEE Trans. Signal Process., 2022)

Group SLOPE Penalized Low-Rank Tensor Regression. - Yang Chen; Ziyan Luo (J. Mach. Learn. Res., 2023)

The analytic connectivity in uniform hypergraphs: Properties and computation. - Chunfeng Cui; Ziyan Luo; Liqun Qi 001; Hong Yan 001 (Numer. Linear Algebra Appl., 2023)

Normal Cones Intersection Rule and Optimality Analysis for Low-Rank Matrix Optimization with Affine Manifolds. - Xinrong Li; Ziyan Luo (SIAM J. Optim., 2023)

Learning High-Order Multi-View Representation by New Tensor Canonical Correlation Analysis. - Jianqin Sun; Xianchao Xiu; Ziyan Luo; Wanquan Liu (IEEE Trans. Circuits Syst. Video Technol., 2023)

Optimality conditions for Tucker low-rank tensor optimization. - Ziyan Luo; Liqun Qi 001 (Comput. Optim. Appl., 2023)

Chronosymbolic Learning: Efficient CHC Solving with Symbolic Reasoning and Inductive Learning. - Ziyan Luo; Xujie Si (SAIV, 2024)

Low-rank tensor regression for selection of grouped variables. - Yang Chen; Ziyan Luo; Lingchen Kong (J. Multivar. Anal., 2024)

Zero-One Composite Optimization: Lyapunov Exact Penalty and a Globally Convergent Inexact Augmented Lagrangian Method. - Penghe Zhang; Naihua Xiu; Ziyan Luo (Math. Oper. Res., 2024)

Multimodal sparse support tensor machine for multiple classification learning. - Shuangyue Wang; Xinrong Zhang; Ziyan Luo; Yingnan Wang (Int. J. Mach. Learn. Cybern., 2024)

Tensor-Based Channel Estimation for Millimeter-Wave Massive MIMO by Exploiting Sparsity in Delay-Angular Domain. - Zihan Hao; Ziyan Luo; Xiaoyu Li; Jun Fan (IEEE Trans. Wirel. Commun., 2024)

Preconditioned Inexact Stochastic ADMM for Deep Model. - Shenglong Zhou 001; Ouya Wang; Ziyan Luo; Yongxu Zhu; Geoffrey Ye Li (CoRR, 2025)

Understanding Behavioral Metric Learning: A Large-Scale Study on Distracting Reinforcement Learning Environments. - Ziyan Luo; Tianwei Ni; Pierre-Luc Bacon; Doina Precup; Xujie Si (CoRR, 2025)

Discovering Temporal Structure: An Overview of Hierarchical Reinforcement Learning. - Martin Klissarov; Akhil Bagaria; Ziyan Luo; George Dimitri Konidaris; Doina Precup; Marlos C. Machado (CoRR, 2025)