Shu Liang

According to our database, Shu Liang authored at least 57 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Hierarchically Distributed Optimization with a Flexible and Complexity-Reducing Algorithm.

Shu Liang, Lei Zhang, Yiheng Wei, Yemo Liu

J. Syst. Sci. Complex., December, 2024

Distributed Optimization and Scaling Design for Solving Sylvester Equations.

Songsong Cheng, Xin Yu, Xianlin Zeng, Shu Liang, Yiguang Hong

J. Syst. Sci. Complex., December, 2024

CS2Fusion: Contrastive learning for Self-Supervised infrared and visible image fusion by estimating feature compensation map.

Xue Wang, Zheng Guan, Wenhua Qian, Jinde Cao, Shu Liang, Jin Yan

Inf. Fusion, February, 2024

Quantized Primal-Dual Algorithms for Network Optimization With Linear Convergence.

Ziqin Chen, Shu Liang, Li Li, Shuming Cheng

IEEE Trans. Autom. Control., January, 2024

A Gradient Tracking Protocol for Optimization Over Nabla Fractional Multi-Agent Systems.

Shuaiyu Zhou, Yiheng Wei, Shu Liang, Jinde Cao

IEEE Trans. Signal Inf. Process. over Networks, 2024

A multi-view graph contrastive learning framework for deciphering spatially resolved transcriptomics data.

Lei Zhang, Shu Liang, Lin Wan

Briefings Bioinform., 2024

FGF-Bert: A modified Bert-based approach with a fine-grained feature fusion strategy for Binary Code Similarity Detection.

Liangcong Deng, Shu Liang

Proceedings of the International Joint Conference on Neural Networks, 2024

Exponential Stability of Primal-Dual Gradient Method for Distributed Convex Strongly Concave Minimax Problem.

Binxin Hu, Shu Liang

Proceedings of the American Control Conference, 2024

2023

Direct emotional interaction in prisoner's dilemma game.

Wen Lu, Shu Liang

Appl. Math. Comput., December, 2023

Distributed robust optimization with coupled constraints via Tseng's splitting method.

Wen Deng, Shu Liang, Yiguang Hong

Autom., October, 2023

IE-CFRN: Information exchange-based collaborative feature representation network for multi-modal medical image fusion.

Yao Han, Rencan Nie, Jinde Cao, Shu Liang, Linna Pan

Biomed. Signal Process. Control., September, 2023

Distributed Gradient Tracking for Unbalanced Optimization With Different Constraint Sets.

Songsong Cheng, Shu Liang, Yuan Fan, Yiguang Hong

IEEE Trans. Autom. Control., June, 2023

Data-Driven Discriminable Factors Analytics of Teaching Performance Ratings for College Teachers.

Junxiao Liu, Tianyu Gao, Shu Liang, Kecheng Chen, Junwei Zeng, Fengshi Jing, Jiandong Zhou

Proceedings of the 12th IEEE International Conference on Educational and Information Technology, 2023

Distributed Nonsmooth Optimization with Different Local Constraints via Exact Penalty.

Shuyu Liu, Shu Liang, Yiguang Hong

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Stochastic Adaptive Optimization With Dithers.

Siyu Xie, Shu Liang, Le Yi Wang, Gang George Yin, Wen Chen

IEEE Trans. Autom. Control., 2022

Exponentially Convergent Algorithm Design for Constrained Distributed Optimization via Nonsmooth Approach.

Weijian Li, Xianlin Zeng, Shu Liang, Yiguang Hong

IEEE Trans. Autom. Control., 2022

Distributed Nash equilibrium seeking under quantization communication.

Ziqin Chen, Ji Ma, Shu Liang, Li Li

Autom., 2022

Exponentially convergent distributed Nash equilibrium seeking for constrained aggregative games.

Shu Liang, Peng Yi, Yiguang Hong, Kaixiang Peng

Auton. Intell. Syst., 2022

FCF: Feature complement fusion network for detecting COVID-19 through CT scan images.

Shu Liang, Rencan Nie, Jinde Cao, Xue Wang, Gucheng Zhang

Appl. Soft Comput., 2022

Exponential Convergence of Abstract Dynamics without Strong Monotonicity.

Shu Liang, Ziqin Chen, Wen Deng

Proceedings of the 13th Asian Control Conference, 2022

2021

Distributed Dual Subgradient Algorithms With Iterate-Averaging Feedback for Convex Optimization With Coupled Constraints.

Shu Liang, Le Yi Wang, George Yin

IEEE Trans. Cybern., 2021

2020

Distributed Nash Equilibrium Seeking for Aggregative Games With Nonlinear Dynamics Under External Disturbances.

Yawei Zhang, Shu Liang, Xinghu Wang, Haibo Ji

IEEE Trans. Cybern., 2020

Dual Averaging Push for Distributed Convex Optimization Over Time-Varying Directed Graph.

Shu Liang, Le Yi Wang, George Yin

IEEE Trans. Autom. Control., 2020

Distributed Smooth Convex Optimization With Coupled Constraints.

Shu Liang, Le Yi Wang, George Yin

IEEE Trans. Autom. Control., 2020

Fractional differential equation approach for convex optimization with convergence rate analysis.

Shu Liang, Le Yi Wang, George Yin

Optim. Lett., 2020

Distributed optimization for multi-agent system over unbalanced graphs with linear convergence rate.

Songsong Cheng, Shu Liang

Kybernetika, 2020

Distributed continuous-time algorithm for nonsmooth optimal consensus without sharing local decision variables.

Shu Liang, Le Yi Wang, George Yin

J. Frankl. Inst., 2020

Distributed sub-optimal resource allocation via a projected form of singular perturbation.

Shu Liang, Xianlin Zeng, Guanpu Chen, Yiguang Hong

Autom., 2020

2019

Distributed Computation of Linear Matrix Equations: An Optimization Perspective.

Xianlin Zeng, Shu Liang, Yiguang Hong, Jie Chen

IEEE Trans. Autom. Control., 2019

Inverse Lyapunov Theorem for Linear Time Invariant Fractional Order Systems.

Shu Liang, Yinshan Liang

J. Syst. Sci. Complex., 2019

Distributed Nash Equilibrium Seeking for Quadratic Games with Security.

Shouwei Zhang, Shu Liang

Int. J. Cooperative Inf. Syst., 2019

Identification of primary angle-closure on AS-OCT images with Convolutional Neural Networks.

Chenglang Yuan, Cheng Bian, Hongjian Kang, Shu Liang, Kai Ma, Yefeng Zheng

CoRR, 2019

Generalized Nash equilibrium seeking strategy for distributed nonsmooth multi-cluster game.

Xianlin Zeng, Jie Chen, Shu Liang, Yiguang Hong

Autom., 2019

Exponential convergence of distributed primal-dual convex optimization algorithm without strong convexity.

Shu Liang, Le Yi Wang, George Yin

Autom., 2019

Distributed quasi-monotone subgradient algorithm for nonsmooth convex optimization over directed graphs.

Shu Liang, Le Yi Wang, George Yin

Autom., 2019

Distributed algorithms for aggregative games of multiple heterogeneous Euler-Lagrange systems.

Zhenhua Deng, Shu Liang

Autom., 2019

2018

Data-driven Approaches for Personalized Head Reconstruction.

Shu Liang

PhD thesis, 2018

Video to fully automatic 3D hair model.

Shu Liang, Xiufeng Huang, Xianyu Meng, Kunyao Chen, Linda G. Shapiro, Ira Kemelmacher-Shlizerman

ACM Trans. Graph., 2018

Distributed Continuous-Time Algorithms for Resource Allocation Problems Over Weight-Balanced Digraphs.

Zhenhua Deng, Shu Liang, Yiguang Hong

IEEE Trans. Cybern., 2018

Distributed Nonsmooth Optimization With Coupled Inequality Constraints via Modified Lagrangian Function.

Shu Liang, Xianlin Zeng, Yiguang Hong

IEEE Trans. Autom. Control., 2018

Multi-agent network flows that solve linear complementarity problems.

Shu Liang, Xianlin Zeng

Kybernetika, 2018

Distributed sub-optimal resource allocation over weight-balanced graph via singular perturbation.

Shu Liang, Xianlin Zeng, Yiguang Hong

Autom., 2018

Distributed continuous-time algorithm for solving linear complementarity problems with exponential convergence.

Shu Liang, Xianlin Zeng, Yiguang Hong

Proceedings of the 14th IEEE International Conference on Control and Automation, 2018

2017

Routh-type table test for zero distribution of polynomials with commensurate fractional and integer degrees.

Shu Liang, Sheng-Guo Wang, Yong Wang

J. Frankl. Inst., 2017

Distributed Nash equilibrium seeking for aggregative games with coupled constraints.

Shu Liang, Peng Yi, Yiguang Hong

Autom., 2017

Distributed Nash equilibrium seeking of a class of aggregative games.

Shu Liang, Peng Yi, Yiguang Hong

Proceedings of the 13th IEEE International Conference on Control & Automation, 2017

2016

Frequency distributed model of Caputo derivatives and robust stability of a class of multi-variable fractional-order neural networks with uncertainties.

Mingjiu Gai, Shiwei Cui, Shu Liang, Xiaolei Liu

Neurocomputing, 2016

Indirect model reference adaptive control for a class of fractional order systems.

Yuquan Chen, Yiheng Wei, Shu Liang, Yong Wang

Commun. Nonlinear Sci. Numer. Simul., 2016

Head Reconstruction from Internet Photos.

Shu Liang, Linda G. Shapiro, Ira Kemelmacher-Shlizerman

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

A novel algorithm on adaptive backstepping control of fractional order systems.

Yiheng Wei, Yuquan Chen, Shu Liang, Yong Wang

Neurocomputing, 2015

Bounded real lemmas for fractional order systems.

Shu Liang, Yiheng Wei, Jinwen Pan, Qing Gao, Yong Wang

Int. J. Autom. Comput., 2015

Craniofacial Image Analysis.

Ezgi Mercan, Indriyati Atmosukarto, Jia Wu, Shu Liang, Linda G. Shapiro

Proceedings of the Health Monitoring and Personalized Feedback using Multimedia Data, 2015

2014

State space approximation for general fractional order dynamic systems.

Shu Liang, Cheng Peng, Zeng Liao, Yong Wang

Int. J. Syst. Sci., 2014

Positive real lemmas for fractional order systems.

Xi Zhou, Yiheng Wei, Shu Liang, Yong Wang

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Representation and LQR of exact fractional order systems.

Shu Liang, Sheng-Guo Wang, Yong Wang

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

3D Face Hallucination from a Single Depth Frame.

Shu Liang, Ira Kemelmacher-Shlizerman, Linda G. Shapiro

Proceedings of the 2nd International Conference on 3D Vision, 2014

2013

Improved detection of landmarks on 3D human face data.

Shu Liang, Jia Wu, Seth M. Weinberg, Linda G. Shapiro

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013