Shaolin Tan
Orcid: 0000-0001-6549-9760
According to our database1,
Shaolin Tan
authored at least 28 papers
between 2012 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
2012
2014
2016
2018
2020
2022
2024
0
1
2
3
4
5
6
7
8
9
1
8
5
2
1
1
5
1
2
2
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
CBWF+: Collaboratively Enhanced Lightweight Circular-Boundary-Based WiFi Fingerprinting.
IEEE Internet Things J., 2025
2024
A Signed Subgraph Encoding Approach via Linear Optimization for Link Sign Prediction.
IEEE Trans. Neural Networks Learn. Syst., October, 2024
IEEE Trans. Syst. Man Cybern. Syst., July, 2024
A timestamp-based projected gradient play for distributed Nash equilibrium seeking in monotone games.
Autom., February, 2024
A Timestamp-Based Inertial Best-Response Dynamics for Distributed Nash Equilibrium Seeking in Weakly Acyclic Games.
IEEE Trans. Neural Networks Learn. Syst., January, 2024
A Necessary and Sufficient Condition Beyond Monotonicity for Convergence of the Gradient Play in Continuous Games.
IEEE Trans. Syst. Man Cybern. Syst., 2024
Adversarial Examples Against WiFi Fingerprint-Based Localization in the Physical World.
IEEE Trans. Inf. Forensics Secur., 2024
A timestamp-based Nesterov's accelerated projected gradient method for distributed Nash equilibrium seeking in monotone games.
Syst. Control. Lett., 2024
A timestamp-based log-linear algorithm for solving locally-informed multi-agent finite games.
Expert Syst. Appl., 2024
2023
Erratum to "Distributed Population Dynamics for Searching Generalized Nash Equilibria of Population Games With Graphical Strategy Interactions".
IEEE Trans. Syst. Man Cybern. Syst., December, 2023
On the convergence of distributed projected gradient play with heterogeneous learning rates in monotone games.
Syst. Control. Lett., December, 2023
An Augmented Game Approach for Design and Analysis of Distributed Learning Dynamics in Multiagent Games.
IEEE Trans. Cybern., November, 2023
IEEE Trans. Knowl. Data Eng., April, 2023
Consensus-Based Multipopulation Game Dynamics for Distributed Nash Equilibria Seeking and Optimization.
IEEE Trans. Syst. Man Cybern. Syst., 2023
2022
Distributed Population Dynamics for Searching Generalized Nash Equilibria of Population Games With Graphical Strategy Interactions.
IEEE Trans. Syst. Man Cybern. Syst., 2022
A payoff-based learning approach for Nash equilibrium seeking in continuous potential games.
Neurocomputing, 2022
2020
IEEE Trans. Neural Networks Learn. Syst., 2020
2017
Evolutionary Dynamics of Collective Behavior Selection and Drift: Flocking, Collapse, and Oscillation.
IEEE Trans. Cybern., 2017
2016
IEEE Trans. Circuits Syst. II Express Briefs, 2016
Analysis and Control of Networked Game Dynamics via A Microscopic Deterministic Approach.
IEEE Trans. Autom. Control., 2016
SIAM J. Control. Optim., 2016
Convergence analysis of discrete-time consensus algorithm with both self and transmission delays.
J. Frankl. Inst., 2016
Autom., 2016
2015
Towards A Theoretical Framework for Analysis and Intervention of Random Drift on General Networks.
IEEE Trans. Autom. Control., 2015
2014
Exploring strategy selection in populations via a continuous evolutionary game dynamics.
Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014
Characterizing the impact of selection on the evolution of cooperation in complex networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
2012
Proceedings of the 2012 IEEE International Symposium on Circuits and Systems, 2012
Proceedings of the 38th Annual Conference on IEEE Industrial Electronics Society, 2012