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2020 – today
- 2024
[j40]Lei Zhang
, Shu Liang, Lin Wan:
A multi-view graph contrastive learning framework for deciphering spatially resolved transcriptomics data. Briefings Bioinform. 25(4) (2024)- [j39]Xue Wang, Zheng Guan, Wenhua Qian, Jinde Cao, Shu Liang, Jin Yan:
CS2Fusion: Contrastive learning for Self-Supervised infrared and visible image fusion by estimating feature compensation map. Inf. Fusion 102: 102039 (2024) - [j38]Ziqin Chen, Shu Liang, Li Li, Shuming Cheng:
Quantized Primal-Dual Algorithms for Network Optimization With Linear Convergence. IEEE Trans. Autom. Control. 69(1): 471-478 (2024) - [j37]Shuaiyu Zhou, Yiheng Wei, Shu Liang, Jinde Cao:
A Gradient Tracking Protocol for Optimization Over Nabla Fractional Multi-Agent Systems. IEEE Trans. Signal Inf. Process. over Networks 10: 500-512 (2024) - [c12]Binxin Hu, Shu Liang:
Exponential Stability of Primal-Dual Gradient Method for Distributed Convex Strongly Concave Minimax Problem. ACC 2024: 3511-3516 - [c11]Liangcong Deng, Shu Liang:
FGF-Bert: A modified Bert-based approach with a fine-grained feature fusion strategy for Binary Code Similarity Detection. IJCNN 2024: 1-8 - 2023
- [j36]Wen Lu, Shu Liang:
Direct emotional interaction in prisoner's dilemma game. Appl. Math. Comput. 458: 128254 (2023) - [j35]Wen Deng, Shu Liang, Yiguang Hong:
Distributed robust optimization with coupled constraints via Tseng's splitting method. Autom. 156: 111177 (2023) - [j34]Yao Han, Rencan Nie, Jinde Cao, Shu Liang, Linna Pan:
IE-CFRN: Information exchange-based collaborative feature representation network for multi-modal medical image fusion. Biomed. Signal Process. Control. 86(Part C): 105301 (2023) - [j33]Songsong Cheng, Shu Liang, Yuan Fan, Yiguang Hong:
Distributed Gradient Tracking for Unbalanced Optimization With Different Constraint Sets. IEEE Trans. Autom. Control. 68(6): 3633-3640 (2023) - [c10]Shuyu Liu, Shu Liang, Yiguang Hong:
Distributed Nonsmooth Optimization with Different Local Constraints via Exact Penalty. CDC 2023: 1150-1155 - [c9]Junxiao Liu, Tianyu Gao, Shu Liang, Kecheng Chen, Junwei Zeng, Fengshi Jing, Jiandong Zhou:
Data-Driven Discriminable Factors Analytics of Teaching Performance Ratings for College Teachers. ICEIT 2023: 223-227 - 2022
- [j32]Shu Liang, Rencan Nie, Jinde Cao, Xue Wang, Gucheng Zhang:
FCF: Feature complement fusion network for detecting COVID-19 through CT scan images. Appl. Soft Comput. 125: 109111 (2022) - [j31]Shu Liang, Peng Yi, Yiguang Hong, Kaixiang Peng:
Exponentially convergent distributed Nash equilibrium seeking for constrained aggregative games. Auton. Intell. Syst. 2(1): 1-8 (2022) - [j30]Ziqin Chen, Ji Ma, Shu Liang, Li Li:
Distributed Nash equilibrium seeking under quantization communication. Autom. 141: 110318 (2022) - [j29]Siyu Xie, Shu Liang, Le Yi Wang, Gang George Yin, Wen Chen:
Stochastic Adaptive Optimization With Dithers. IEEE Trans. Autom. Control. 67(1): 189-202 (2022) - [j28]Weijian Li, Xianlin Zeng, Shu Liang, Yiguang Hong:
Exponentially Convergent Algorithm Design for Constrained Distributed Optimization via Nonsmooth Approach. IEEE Trans. Autom. Control. 67(2): 934-940 (2022) - [c8]Shu Liang, Ziqin Chen, Wen Deng:
Exponential Convergence of Abstract Dynamics without Strong Monotonicity. ASCC 2022: 2282-2285 - 2021
- [j27]Shu Liang, Le Yi Wang, George Yin:
Distributed Dual Subgradient Algorithms With Iterate-Averaging Feedback for Convex Optimization With Coupled Constraints. IEEE Trans. Cybern. 51(5): 2529-2539 (2021) - [i5]Ziqin Chen, Ji Ma, Shu Liang, Li Li:
Distributed Nash Equilibrium Seeking under Quantization Communication. CoRR abs/2106.16002 (2021) - 2020
- [j26]Shu Liang, Xianlin Zeng, Guanpu Chen, Yiguang Hong:
Distributed sub-optimal resource allocation via a projected form of singular perturbation. Autom. 121: 109180 (2020) - [j25]Shu Liang, Le Yi Wang, George Yin:
Distributed continuous-time algorithm for nonsmooth optimal consensus without sharing local decision variables. J. Frankl. Inst. 357(6): 3585-3600 (2020) - [j24]Songsong Cheng, Shu Liang:
Distributed optimization for multi-agent system over unbalanced graphs with linear convergence rate. Kybernetika 56(3): 559-577 (2020) - [j23]Shu Liang, Le Yi Wang, George Yin:
Fractional differential equation approach for convex optimization with convergence rate analysis. Optim. Lett. 14(1): 145-155 (2020) - [j22]Shu Liang, Le Yi Wang, George Yin:
Distributed Smooth Convex Optimization With Coupled Constraints. IEEE Trans. Autom. Control. 65(1): 347-353 (2020) - [j21]Shu Liang, Le Yi Wang, George Yin:
Dual Averaging Push for Distributed Convex Optimization Over Time-Varying Directed Graph. IEEE Trans. Autom. Control. 65(4): 1785-1791 (2020) - [j20]Yawei Zhang, Shu Liang, Xinghu Wang, Haibo Ji:
Distributed Nash Equilibrium Seeking for Aggregative Games With Nonlinear Dynamics Under External Disturbances. IEEE Trans. Cybern. 50(12): 4876-4885 (2020)
2010 – 2019
- 2019
- [j19]Zhenhua Deng, Shu Liang:
Distributed algorithms for aggregative games of multiple heterogeneous Euler-Lagrange systems. Autom. 99: 246-252 (2019) - [j18]Shu Liang, Le Yi Wang, George Yin:
Distributed quasi-monotone subgradient algorithm for nonsmooth convex optimization over directed graphs. Autom. 101: 175-181 (2019) - [j17]Xianlin Zeng, Jie Chen, Shu Liang, Yiguang Hong:
Generalized Nash equilibrium seeking strategy for distributed nonsmooth multi-cluster game. Autom. 103: 20-26 (2019) - [j16]Shu Liang, Le Yi Wang, George Yin:
Exponential convergence of distributed primal-dual convex optimization algorithm without strong convexity. Autom. 105: 298-306 (2019) - [j15]Shouwei Zhang, Shu Liang:
Distributed Nash Equilibrium Seeking for Quadratic Games with Security. Int. J. Cooperative Inf. Syst. 28(4): 1950009:1-1950009:15 (2019) - [j14]Shu Liang, Yinshan Liang:
Inverse Lyapunov Theorem for Linear Time Invariant Fractional Order Systems. J. Syst. Sci. Complex. 32(6): 1544-1559 (2019) - [j13]Xianlin Zeng, Shu Liang, Yiguang Hong, Jie Chen:
Distributed Computation of Linear Matrix Equations: An Optimization Perspective. IEEE Trans. Autom. Control. 64(5): 1858-1873 (2019) - [i4]Chenglang Yuan, Cheng Bian, Hongjian Kang, Shu Liang, Kai Ma, Yefeng Zheng:
Identification of primary angle-closure on AS-OCT images with Convolutional Neural Networks. CoRR abs/1910.10414 (2019) - 2018
- [b1]Shu Liang:
Data-driven Approaches for Personalized Head Reconstruction. University of Washington, USA, 2018 - [j12]Shu Liang, Xianlin Zeng, Yiguang Hong:
Distributed sub-optimal resource allocation over weight-balanced graph via singular perturbation. Autom. 95: 222-228 (2018) - [j11]Shu Liang, Xianlin Zeng:
Multi-agent network flows that solve linear complementarity problems. Kybernetika 54(3): 542-556 (2018) - [j10]Shu Liang, Xianlin Zeng, Yiguang Hong:
Distributed Nonsmooth Optimization With Coupled Inequality Constraints via Modified Lagrangian Function. IEEE Trans. Autom. Control. 63(6): 1753-1759 (2018) - [j9]Zhenhua Deng, Shu Liang, Yiguang Hong:
Distributed Continuous-Time Algorithms for Resource Allocation Problems Over Weight-Balanced Digraphs. IEEE Trans. Cybern. 48(11): 3116-3125 (2018) - [j8]Shu Liang, Xiufeng Huang, Xianyu Meng, Kunyao Chen, Linda G. Shapiro, Ira Kemelmacher-Shlizerman:
Video to fully automatic 3D hair model. ACM Trans. Graph. 37(6): 206 (2018) - [c7]Shu Liang, Xianlin Zeng, Yiguang Hong:
Distributed continuous-time algorithm for solving linear complementarity problems with exponential convergence. ICCA 2018: 1-6 - [i3]Shu Liang, Linda G. Shapiro, Ira Kemelmacher-Shlizerman:
Head Reconstruction from Internet Photos. CoRR abs/1809.04763 (2018) - [i2]Shu Liang, Ira Kemelmacher-Shlizerman, Linda G. Shapiro:
3D Face Hallucination from a Single Depth Frame. CoRR abs/1809.04764 (2018) - [i1]Shu Liang, Xiufeng Huang, Xianyu Meng, Kunyao Chen, Linda G. Shapiro, Ira Kemelmacher-Shlizerman:
Video to Fully Automatic 3D Hair Model. CoRR abs/1809.04765 (2018) - 2017
- [j7]Shu Liang, Peng Yi, Yiguang Hong:
Distributed Nash equilibrium seeking for aggregative games with coupled constraints. Autom. 85: 179-185 (2017) - [j6]Shu Liang, Sheng-Guo Wang, Yong Wang:
Routh-type table test for zero distribution of polynomials with commensurate fractional and integer degrees. J. Frankl. Inst. 354(1): 83-104 (2017) - [c6]Shu Liang, Peng Yi, Yiguang Hong:
Distributed Nash equilibrium seeking of a class of aggregative games. ICCA 2017: 58-63 - 2016
- [j5]Yuquan Chen, Yiheng Wei, Shu Liang, Yong Wang:
Indirect model reference adaptive control for a class of fractional order systems. Commun. Nonlinear Sci. Numer. Simul. 39: 458-471 (2016) - [j4]Mingjiu Gai, Shiwei Cui, Shu Liang, Xiaolei Liu:
Frequency distributed model of Caputo derivatives and robust stability of a class of multi-variable fractional-order neural networks with uncertainties. Neurocomputing 202: 91-97 (2016) - [c5]Shu Liang, Linda G. Shapiro, Ira Kemelmacher-Shlizerman:
Head Reconstruction from Internet Photos. ECCV (2) 2016: 360-374 - 2015
- [j3]Shu Liang, Yiheng Wei, Jinwen Pan, Qing Gao, Yong Wang:
Bounded real lemmas for fractional order systems. Int. J. Autom. Comput. 12(2): 192-198 (2015) - [j2]Yiheng Wei, Yuquan Chen, Shu Liang, Yong Wang:
A novel algorithm on adaptive backstepping control of fractional order systems. Neurocomputing 165: 395-402 (2015) - [p1]Ezgi Mercan, Indriyati Atmosukarto, Jia Wu, Shu Liang, Linda G. Shapiro:
Craniofacial Image Analysis. Health Monitoring and Personalized Feedback using Multimedia Data 2015: 9-29 - 2014
- [j1]Shu Liang, Cheng Peng, Zeng Liao, Yong Wang:
State space approximation for general fractional order dynamic systems. Int. J. Syst. Sci. 45(10): 2203-2212 (2014) - [c4]Shu Liang, Ira Kemelmacher-Shlizerman, Linda G. Shapiro:
3D Face Hallucination from a Single Depth Frame. 3DV 2014: 31-38 - [c3]Shu Liang, Sheng-Guo Wang, Yong Wang:
Representation and LQR of exact fractional order systems. CDC 2014: 6908-6913 - [c2]Xi Zhou, Yiheng Wei, Shu Liang, Yong Wang:
Positive real lemmas for fractional order systems. CDC 2014: 6914-6919 - 2013
- [c1]Shu Liang, Jia Wu, Seth M. Weinberg, Linda G. Shapiro:
Improved detection of landmarks on 3D human face data. EMBC 2013: 6482-6485
Coauthor Index
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