Improved detection of landmarks on 3D human face data. - Shu Liang; Jia Wu 003; Seth M. Weinberg; Linda G. Shapiro (EMBC, 2013)

3D Face Hallucination from a Single Depth Frame. - Shu Liang; Ira Kemelmacher-Shlizerman; Linda G. Shapiro (3DV, 2014)

Representation and LQR of exact fractional order systems. - Shu Liang; Sheng-Guo Wang; Yong Wang 007 (CDC, 2014)

Positive real lemmas for fractional order systems. - Xi Zhou; Yiheng Wei; Shu Liang; Yong Wang 007 (CDC, 2014)

State space approximation for general fractional order dynamic systems. - Shu Liang; Cheng Peng; Zeng Liao; Yong Wang 007 (Int. J. Syst. Sci., 2014)

Craniofacial Image Analysis. - Ezgi Mercan; Indriyati Atmosukarto; Jia Wu 003; Shu Liang; Linda G. Shapiro (Health Monitoring and Personalized Feedback using Multimedia Data, 2015)

Bounded real lemmas for fractional order systems. - Shu Liang; Yiheng Wei; Jinwen Pan; Qing Gao 001; Yong Wang 007 (Int. J. Autom. Comput., 2015)

A novel algorithm on adaptive backstepping control of fractional order systems. - Yiheng Wei; Yuquan Chen; Shu Liang; Yong Wang 007 (Neurocomputing, 2015)

Head Reconstruction from Internet Photos. - Shu Liang; Linda G. Shapiro; Ira Kemelmacher-Shlizerman (ECCV (2), 2016)

Indirect model reference adaptive control for a class of fractional order systems. - Yuquan Chen; Yiheng Wei; Shu Liang; Yong Wang 007 (Commun. Nonlinear Sci. Numer. Simul., 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)

Distributed Nash equilibrium seeking of a class of aggregative games. - Shu Liang; Peng Yi 001; Yiguang Hong (ICCA, 2017)

Distributed Nash equilibrium seeking for aggregative games with coupled constraints. - Shu Liang; Peng Yi 001; Yiguang Hong (Autom., 2017)

Routh-type table test for zero distribution of polynomials with commensurate fractional and integer degrees. - Shu Liang; Sheng-Guo Wang; Yong Wang 007 (J. Frankl. Inst., 2017)

Distributed continuous-time algorithm for solving linear complementarity problems with exponential convergence. - Shu Liang; Xianlin Zeng; Yiguang Hong (ICCA, 2018)

Distributed sub-optimal resource allocation over weight-balanced graph via singular perturbation. - Shu Liang; Xianlin Zeng; Yiguang Hong (Autom., 2018)

Multi-agent network flows that solve linear complementarity problems. - Shu Liang; Xianlin Zeng (Kybernetika, 2018)

Distributed Nonsmooth Optimization With Coupled Inequality Constraints via Modified Lagrangian Function. - Shu Liang; Xianlin Zeng; Yiguang Hong (IEEE Trans. Autom. Control., 2018)

Distributed Continuous-Time Algorithms for Resource Allocation Problems Over Weight-Balanced Digraphs. - Zhenhua Deng; Shu Liang; Yiguang Hong (IEEE Trans. Cybern., 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)

Data-driven Approaches for Personalized Head Reconstruction. - Shu Liang (2018)

Distributed algorithms for aggregative games of multiple heterogeneous Euler-Lagrange systems. - Zhenhua Deng; Shu Liang (Autom., 2019)

Distributed quasi-monotone subgradient algorithm for nonsmooth convex optimization over directed graphs. - Shu Liang; Le Yi Wang; George Yin 001 (Autom., 2019)

Exponential convergence of distributed primal-dual convex optimization algorithm without strong convexity. - Shu Liang; Le Yi Wang; George Yin 001 (Autom., 2019)

Generalized Nash equilibrium seeking strategy for distributed nonsmooth multi-cluster game. - Xianlin Zeng; Jie Chen 003; Shu Liang; Yiguang Hong (Autom., 2019)

Identification of primary angle-closure on AS-OCT images with Convolutional Neural Networks. - Chenglang Yuan; Cheng Bian; Hongjian Kang; Shu Liang; Kai Ma 002; Yefeng Zheng 001 (CoRR, 2019)

Distributed Nash Equilibrium Seeking for Quadratic Games with Security. - Shouwei Zhang; Shu Liang (Int. J. Cooperative Inf. Syst., 2019)

Inverse Lyapunov Theorem for Linear Time Invariant Fractional Order Systems. - Shu Liang; Yinshan Liang (J. Syst. Sci. Complex., 2019)

Distributed Computation of Linear Matrix Equations: An Optimization Perspective. - Xianlin Zeng; Shu Liang; Yiguang Hong; Jie Chen 003 (IEEE Trans. Autom. Control., 2019)

Distributed sub-optimal resource allocation via a projected form of singular perturbation. - Shu Liang; Xianlin Zeng; Guanpu Chen; Yiguang Hong (Autom., 2020)

Distributed continuous-time algorithm for nonsmooth optimal consensus without sharing local decision variables. - Shu Liang; Le Yi Wang; George Yin 001 (J. Frankl. Inst., 2020)

Distributed optimization for multi-agent system over unbalanced graphs with linear convergence rate. - Songsong Cheng; Shu Liang (Kybernetika, 2020)

Fractional differential equation approach for convex optimization with convergence rate analysis. - Shu Liang; Le Yi Wang; George Yin 001 (Optim. Lett., 2020)

Distributed Smooth Convex Optimization With Coupled Constraints. - Shu Liang; Le Yi Wang; George Yin 001 (IEEE Trans. Autom. Control., 2020)

Dual Averaging Push for Distributed Convex Optimization Over Time-Varying Directed Graph. - Shu Liang; Le Yi Wang; George Yin 001 (IEEE Trans. Autom. Control., 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)

Distributed Dual Subgradient Algorithms With Iterate-Averaging Feedback for Convex Optimization With Coupled Constraints. - Shu Liang; Le Yi Wang; George Yin 001 (IEEE Trans. Cybern., 2021)

Exponential Convergence of Abstract Dynamics without Strong Monotonicity. - Shu Liang; Ziqin Chen; Wen Deng (ASCC, 2022)

FCF: Feature complement fusion network for detecting COVID-19 through CT scan images. - Shu Liang; Rencan Nie; Jinde Cao; Xue Wang 011; Gucheng Zhang (Appl. Soft Comput., 2022)

Exponentially convergent distributed Nash equilibrium seeking for constrained aggregative games. - Shu Liang; Peng Yi 001; Yiguang Hong; Kaixiang Peng (Auton. Intell. Syst., 2022)

Distributed Nash equilibrium seeking under quantization communication. - Ziqin Chen; Ji Ma 002; Shu Liang; Li Li (Autom., 2022)

Distributed aggregative optimization with quantized communication. - Ziqin Chen; Shu Liang (Kybernetika, 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)

Stochastic Adaptive Optimization With Dithers. - Siyu Xie; Shu Liang; Le Yi Wang; Gang George Yin; Wen Chen 007 (IEEE Trans. Autom. Control., 2022)

Distributed Nonsmooth Optimization with Different Local Constraints via Exact Penalty. - Shuyu Liu; Shu Liang; Yiguang Hong (CDC, 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 001 (ICEIT, 2023)

Distributed Gradient Tracking for Unbalanced Optimization With Different Constraint Sets. - Songsong Cheng; Shu Liang; Yuan Fan; Yiguang Hong (IEEE Trans. Autom. Control., 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., 2023)

Distributed robust optimization with coupled constraints via Tseng's splitting method. - Wen Deng; Shu Liang; Yiguang Hong (Autom., 2023)

Direct emotional interaction in prisoner's dilemma game. - Wen Lu; Shu Liang (Appl. Math. Comput., 2023)

Exponential Stability of Primal-Dual Gradient Method for Distributed Convex Strongly Concave Minimax Problem. - Binxin Hu; Shu Liang (ACC, 2024)

Self-supervised Graph-Language Model for Document Information Extraction. - Yunze Bu; Shu Liang (ASCC, 2024)

FGF-Bert: A modified Bert-based approach with a fine-grained feature fusion strategy for Binary Code Similarity Detection. - Liangcong Deng; Shu Liang (IJCNN, 2024)

A multi-view graph contrastive learning framework for deciphering spatially resolved transcriptomics data. - Lei Zhang; Shu Liang; Lin Wan (Briefings Bioinform., 2024)

Distributed dual averaging algorithm for multi-agent optimization with coupled constraints. - Zhipeng Tu; Shu Liang (Kybernetika, 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)

Quantized Primal-Dual Algorithms for Network Optimization With Linear Convergence. - Ziqin Chen; Shu Liang; Li Li 008; Shuming Cheng (IEEE Trans. Autom. Control., 2024)

CS2Fusion: Contrastive learning for Self-Supervised infrared and visible image fusion by estimating feature compensation map. - Xue Wang 011; Zheng Guan; Wenhua Qian; Jinde Cao; Shu Liang; Jin Yan (Inf. Fusion, 2024)

Distributed Optimization and Scaling Design for Solving Sylvester Equations. - Songsong Cheng; Xin Yu; Xianlin Zeng; Shu Liang; Yiguang Hong (J. Syst. Sci. Complex., 2024)

Hierarchically Distributed Optimization with a Flexible and Complexity-Reducing Algorithm. - Shu Liang; Lei Zhang; Yiheng Wei; Yemo Liu (J. Syst. Sci. Complex., 2024)

Application of Machine Learning and Digital Twin in Smart Farming for Space and Extreme Environments. - Nguyen Van Duc Long; Shu Liang; Marc Escribà-Gelonch; Volker Hessel (XR (4), 2025)

Digital twin for lettuce growth in six climate zones ('Climate 2050′). - Shu Liang; Nguyen Van Duc Long; Mst Irin Parvin; Marc Escribà-Gelonch; Stephen Lantin; Volker Hessel (Comput. Electron. Agric., 2025)

Soft Safety Analysis of Interconnected Systems. - Weihao Zhang; Di Zhao 002; Shu Liang (IEEE Trans. Autom. Control., 2025)