Monotonicity of fixation probability of evolutionary dynamics on complex networks. - Shaolin Tan; Jinhu Lu; Xinghuo Yu 001; David J. Hill 001 (IECON, 2012)

Exploring evolutionary dynamics in a class of structured populations. - Shaolin Tan; Jinhu Lu; Xinghuo Yu 001; David J. Hill 001 (ISCAS, 2012)

Characterizing the impact of selection on the evolution of cooperation in complex networks. - Shasha Feng; Shaolin Tan; Jinhu Lu (IEEE Congress on Evolutionary Computation, 2014)

Exploring strategy selection in populations via a continuous evolutionary game dynamics. - Shaolin Tan; Jinhu Lu; Yu Hu 014; Maciej J. Ogorzalek (ISCAS, 2014)

Towards A Theoretical Framework for Analysis and Intervention of Random Drift on General Networks. - Shaolin Tan; Jinhu Lu; David John Hill (IEEE Trans. Autom. Control., 2015)

Synchronizing nonlinear complex networks via switching disconnected topology. - Yao Chen 003; Wenwu Yu; Shaolin Tan; Henghui Zhu (Autom., 2016)

Convergence analysis of discrete-time consensus algorithm with both self and transmission delays. - Yao Chen 003; Fangfei Li; Bo Hou; Shaolin Tan; Henghui Zhu (J. Frankl. Inst., 2016)

Emerging Behavioral Consensus of Evolutionary Dynamics on Complex Networks. - Shaolin Tan; Jinhu Lü; Zongli Lin (SIAM J. Control. Optim., 2016)

Analysis and Control of Networked Game Dynamics via A Microscopic Deterministic Approach. - Shaolin Tan; Yaonan Wang 001; Jinhu Lu (IEEE Trans. Autom. Control., 2016)

A Unified Tractable Approach for Random Drifts on Dynamical Networks. - Shaolin Tan; Yaonan Wang 001; Yao Chen 003 (IEEE Trans. Circuits Syst. II Express Briefs, 2016)

Evolutionary Dynamics of Collective Behavior Selection and Drift: Flocking, Collapse, and Oscillation. - Shaolin Tan; Yaonan Wang 001; Yao Chen 003; Zhen Wang (IEEE Trans. Cybern., 2017)

Graphical Nash Equilibria and Replicator Dynamics on Complex Networks. - Shaolin Tan; Yaonan Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

A payoff-based learning approach for Nash equilibrium seeking in continuous potential games. - Shaolin Tan; Yaonan Wang 001 (Neurocomputing, 2022)

Distributed Population Dynamics for Searching Generalized Nash Equilibria of Population Games With Graphical Strategy Interactions. - Shaolin Tan; Yaonan Wang 001; Athanasios V. Vasilakos (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Consensus-Based Multipopulation Game Dynamics for Distributed Nash Equilibria Seeking and Optimization. - Shaolin Tan; Zhihong Fang; Yaonan Wang 001; Jinhu Lü (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Elementary Subgraph Features for Link Prediction With Neural Networks. - Zhihong Fang; Shaolin Tan; Yaonan Wang 001; Jinhu Lü (IEEE Trans. Knowl. Data Eng., 2023)

An Augmented Game Approach for Design and Analysis of Distributed Learning Dynamics in Multiagent Games. - Shaolin Tan; Zhihong Fang; Yaonan Wang 001; Jinhu Lü (IEEE Trans. Cybern., 2023)

On the convergence of distributed projected gradient play with heterogeneous learning rates in monotone games. - Shaolin Tan; Ye Tao 003; Maopeng Ran; Hao Liu (Syst. Control. Lett., 2023)

Erratum to "Distributed Population Dynamics for Searching Generalized Nash Equilibria of Population Games With Graphical Strategy Interactions". - Shaolin Tan; Yaonan Wang 001; Athanasios V. Vasilakos (IEEE Trans. Syst. Man Cybern. Syst., 2023)

A timestamp-based log-linear algorithm for solving locally-informed multi-agent finite games. - Zhe Li 050; Changdi Liu; Shaolin Tan; Yubai Liu (Expert Syst. Appl., 2024)

A timestamp-based Nesterov's accelerated projected gradient method for distributed Nash equilibrium seeking in monotone games. - Nian Liu; Shaolin Tan; Ye Tao 003; Jinhu Lü (Syst. Control. Lett., 2024)

Adversarial Examples Against WiFi Fingerprint-Based Localization in the Physical World. - Jiakai Wang; Ye Tao 003; Yichi Zhang; Wanting Liu; Yusheng Kong; Shaolin Tan; Rongen Yan; Xianglong Liu 001 (IEEE Trans. Inf. Forensics Secur., 2024)

A Necessary and Sufficient Condition Beyond Monotonicity for Convergence of the Gradient Play in Continuous Games. - Shaolin Tan; Jinhu Lü (IEEE Trans. Syst. Man Cybern. Syst., 2024)

A Timestamp-Based Inertial Best-Response Dynamics for Distributed Nash Equilibrium Seeking in Weakly Acyclic Games. - Shaolin Tan; Zhihong Fang; Yaonan Wang 001; Jinhu Lü (IEEE Trans. Neural Networks Learn. Syst., 2024)

A timestamp-based projected gradient play for distributed Nash equilibrium seeking in monotone games. - Shaolin Tan (Autom., 2024)

Utility Decoupling for Distributed Nash Equilibrium Seeking in Weakly Acyclic Games. - Shaolin Tan; Guang Yang 031; Haibo Gu; Kexin Liu; Jinhu Lü (IEEE Trans. Syst. Man Cybern. Syst., 2024)

A Signed Subgraph Encoding Approach via Linear Optimization for Link Sign Prediction. - Zhihong Fang; Shaolin Tan; Yaonan Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Adaptive non-cooperative differential games with a regulator. - Nian Liu; Shaolin Tan; Ye Tao 003; Jinhu Lü (Autom., 2025)

Backtracing Byzantine attacks in distributed average consensus networks: A gated graph neural network approach with graph reconstruction. - Xinliang Wang; Shaolin Tan; Ye Tao 003; Nian Liu; Bing Li; Suixiang Gao (Eng. Appl. Artif. Intell., 2025)

CBWF+: Collaboratively Enhanced Lightweight Circular-Boundary-Based WiFi Fingerprinting. - Ye Tao 003; Shaolin Tan; Rongen Yan; Nian Liu; Wei Wang 016; Jinhu Lü (IEEE Internet Things J., 2025)

HyperSAT: Unsupervised Hypergraph Neural Networks for Weighted MaxSAT Problems. - Qiyue Chen; Shaolin Tan; Suixiang Gao; Jinhu Lü (CoRR, 2025)