Shaolin Tan

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 21

Top Topics

Nash Equilibrium

Population Dynamics

Replicator Dynamics

Complex Networks

Top Venues

IEEE Trans. Syst. Man Cybern. Syst.

IEEE Trans. Cybern.

IEEE Trans. Neural Networks Learn. Syst.

IEEE Trans. Autom. Control.

Publications

Zhe Li, Changdi Liu, Shaolin Tan, Yubai Liu
A timestamp-based log-linear algorithm for solving locally-informed multi-agent finite games. Expert Syst. Appl. 249 (2024)
Shaolin Tan, Guang Yang, Haibo Gu, Kexin Liu, Jinhu Lü
Utility Decoupling for Distributed Nash Equilibrium Seeking in Weakly Acyclic Games. IEEE Trans. Syst. Man Cybern. Syst. 54 (7) (2024)
Shaolin Tan, Zhihong Fang, Yaonan Wang, Jinhu Lü
A Timestamp-Based Inertial Best-Response Dynamics for Distributed Nash Equilibrium Seeking in Weakly Acyclic Games. IEEE Trans. Neural Networks Learn. Syst. 35 (1) (2024)
Shaolin Tan, Jinhu Lü
A Necessary and Sufficient Condition Beyond Monotonicity for Convergence of the Gradient Play in Continuous Games. IEEE Trans. Syst. Man Cybern. Syst. 54 (3) (2024)
Shaolin Tan
A timestamp-based projected gradient play for distributed Nash equilibrium seeking in monotone games. Autom. 160 (2024)
Shaolin Tan, Zhihong Fang, Yaonan Wang, Jinhu Lü
An Augmented Game Approach for Design and Analysis of Distributed Learning Dynamics in Multiagent Games. IEEE Trans. Cybern. 53 (11) (2023)
Shaolin Tan, Yaonan Wang, Athanasios V. Vasilakos
Erratum to "Distributed Population Dynamics for Searching Generalized Nash Equilibria of Population Games With Graphical Strategy Interactions". IEEE Trans. Syst. Man Cybern. Syst. 53 (12) (2023)
Shaolin Tan, Zhihong Fang, Yaonan Wang, Jinhu Lü
Consensus-Based Multipopulation Game Dynamics for Distributed Nash Equilibria Seeking and Optimization. IEEE Trans. Syst. Man Cybern. Syst. 53 (2) (2023)
Shaolin Tan, Ye Tao, Maopeng Ran, Hao Liu
On the convergence of distributed projected gradient play with heterogeneous learning rates in monotone games. Syst. Control. Lett. 182 (2023)
Zhihong Fang, Shaolin Tan, Yaonan Wang, Jinhu Lü
Elementary Subgraph Features for Link Prediction With Neural Networks. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Zhihong Fang, Shaolin Tan, Yaonan Wang
A Signed Subgraph Encoding Approach via Linear Optimization for Link Sign Prediction. CoRR (2023)
Shaolin Tan, Yaonan Wang
A payoff-based learning approach for Nash equilibrium seeking in continuous potential games. Neurocomputing 468 (2022)
Shaolin Tan, Yaonan Wang, Athanasios V. Vasilakos
Distributed Population Dynamics for Searching Generalized Nash Equilibria of Population Games With Graphical Strategy Interactions. IEEE Trans. Syst. Man Cybern. Syst. 52 (5) (2022)
Shaolin Tan, Yaonan Wang
Graphical Nash Equilibria and Replicator Dynamics on Complex Networks. IEEE Trans. Neural Networks Learn. Syst. 31 (6) (2020)
Shaolin Tan, Yaonan Wang, Yao Chen, Zhen Wang
Evolutionary Dynamics of Collective Behavior Selection and Drift: Flocking, Collapse, and Oscillation. IEEE Trans. Cybern. 47 (7) (2017)
Yao Chen, Fangfei Li, Bo Hou, Shaolin Tan, Henghui Zhu
Convergence analysis of discrete-time consensus algorithm with both self and transmission delays. J. Frankl. Inst. 353 (11) (2016)
Yao Chen, Wenwu Yu, Shaolin Tan, Henghui Zhu
Synchronizing nonlinear complex networks via switching disconnected topology. Autom. 70 (2016)
Shaolin Tan, Yaonan Wang, Jinhu Lu
Analysis and Control of Networked Game Dynamics via A Microscopic Deterministic Approach. IEEE Trans. Autom. Control. 61 (12) (2016)
Shaolin Tan, Jinhu Lü, Zongli Lin
Emerging Behavioral Consensus of Evolutionary Dynamics on Complex Networks. SIAM J. Control. Optim. 54 (6) (2016)
Shaolin Tan, Yaonan Wang, Yao Chen
A Unified Tractable Approach for Random Drifts on Dynamical Networks. IEEE Trans. Circuits Syst. II Express Briefs (3) (2016)
Shaolin Tan, Jinhu Lu, David John Hill
Towards A Theoretical Framework for Analysis and Intervention of Random Drift on General Networks. IEEE Trans. Autom. Control. 60 (2) (2015)
Shaolin Tan, Jinhu Lu, Yu Hu, Maciej J. Ogorzalek
Exploring strategy selection in populations via a continuous evolutionary game dynamics. ISCAS (2014)
Shasha Feng, Shaolin Tan, Jinhu Lu
Characterizing the impact of selection on the evolution of cooperation in complex networks. IEEE Congress on Evolutionary Computation (2014)
Shaolin Tan, Jinhu Lu, Xinghuo Yu, David J. Hill
Exploring evolutionary dynamics in a class of structured populations. ISCAS (2012)
Shaolin Tan, Jinhu Lu, Xinghuo Yu, David J. Hill
Monotonicity of fixation probability of evolutionary dynamics on complex networks. IECON (2012)