Shaolin Tan

46 papers A* 1A 1B 1C 3Journal 40
YearRankTypeTitle / Venue / Authors
2026 J jnl
Collaborative filtering enhanced subgraph embedding for link direction and sign prediction.
Neurocomputing
Zhihong Fang, Shaolin Tan, Zhe Li, Qiu Fang, Yao Chen
2026 J jnl
FastFI: Enhancing API Call-Site Robustness in Microservice-Based Systems with Fault Injection.
CoRR
Yuzhen Tan, Jian Wang, Shuaiyu Xie, Bing Li, Yunqing Yong, Neng Zhang, Shaolin Tan
2026 J jnl
LCWF: Low-Overhead Collaborative WiFi Fingerprint Localization Considering Devices Heterogeneity.
IEEE Trans. Netw. Sci. Eng.
Ye Tao, Shaolin Tan, Rongen Yan, Nian Liu, Qing Gao, Jinhu Lü
2026 J jnl
Lightweight Log-Linear Learning With Neighborhood Search for Equilibrium Selection in Finite Potential Games.
IEEE Trans. Syst. Man Cybern. Syst.
Zhe Li, Changdi Liu, Shaolin Tan, Wei Wang
2026 J jnl
Random Walk Based Hierarchical Collaborative Filtering for Directed Network Embedding.
IEEE Trans. Netw. Sci. Eng.
Zhihong Fang, Shaolin Tan, Yao Chen, Hui Liu
2026 J jnl
Role-Based One-Hop Neighborhood Representation for Link Sign Prediction in Signed Directed Networks.
IEEE Trans. Artif. Intell.
Zhihong Fang, Shaolin Tan, Qiu Fang, Zhe Li, Qing Gao
2026 A* conf
Subgraph Encoding with Bicentric Sphere Node Labeling and Pooling for Link Prediction.
AAAI
Zhihong Fang, Shaolin Tan, Qiu Fang, Zhe Li, Qing Gao
2025 J jnl
A Distributed Nesterov's Approach for Fast Nash Equilibrium Seeking in Noncooperative Games.
J. Syst. Sci. Complex.
Shaolin Tan
2025 J jnl
A Non-Markovian Game Approach on Labeled Attack Graphs for Security Decision-Making in Industrial Control Systems.
IEEE Trans. Inf. Forensics Secur.
Yiqun Yue, Shaolin Tan, Ye Tao, Nian Liu, Jinhu Lü
2025 J jnl
Adaptive non-cooperative differential games with a regulator.
Autom.
Nian Liu, Shaolin Tan, Ye Tao, Jinhu Lü
2025 J jnl
Backtracing Byzantine attacks in distributed average consensus networks: A gated graph neural network approach with graph reconstruction.
Eng. Appl. Artif. Intell.
Xinliang Wang, Shaolin Tan, Ye Tao, Nian Liu, Bing Li, Suixiang Gao
2025 J jnl
CBWF+: Collaboratively Enhanced Lightweight Circular-Boundary-Based WiFi Fingerprinting.
IEEE Internet Things J.
Ye Tao, Shaolin Tan, Rongen Yan, Nian Liu, Wei Wang, Jinhu Lü
2025 J jnl
Deception in Target Defense Game With Unknown Attackers Speed Within a Continuous Range.
IEEE Trans. Aerosp. Electron. Syst.
Xiangkai Wu, Wei Wang, Shaolin Tan
2025 J jnl
Federated anomaly detection based on collaborative pre-trained generative models in smart manufacturing.
J. Frankl. Inst.
Jiayi Fan, Shaolin Tan, Haibo Gu, Zhenqian Wang, Jinhu Lü
2025 J jnl
HyperSAT: Unsupervised Hypergraph Neural Networks for Weighted MaxSAT Problems.
CoRR
Qiyue Chen, Shaolin Tan, Suixiang Gao, Jinhu Lü
2025 J jnl
Optimal Adaptive Control of Linear Stochastic Systems With Quadratic Cost Function.
IEEE Trans. Autom. Control.
Nian Liu, Cheng Zhao, Shaolin Tan, Jinhu Lü
2025 J jnl
Optimizing Superdiffusion of Multiplex Networks Based on Spectral Graph Theory.
IEEE Trans. Syst. Man Cybern. Syst.
Hui Liu, Shiqi Dai, Junhao Zhao, Xiaoqun Wu, Shaolin Tan, Guanrong Chen, Zhigang Zeng, Jinhu Lü
2025 A conf
Safe APG: Accelerated Policy Gradient Algorithm for Secure Policy Updating in Reinforcement Learning.
ECAI
Jianan Lin, Yao Chen, Zhengyang Ji, Meng Yuan, Bo Hou, Shaolin Tan
2024 J jnl
A Necessary and Sufficient Condition Beyond Monotonicity for Convergence of the Gradient Play in Continuous Games.
IEEE Trans. Syst. Man Cybern. Syst.
Shaolin Tan, Jinhu Lü
2024 J jnl
A Signed Subgraph Encoding Approach via Linear Optimization for Link Sign Prediction.
IEEE Trans. Neural Networks Learn. Syst.
Zhihong Fang, Shaolin Tan, Yaonan Wang
2024 J jnl
A Timestamp-Based Inertial Best-Response Dynamics for Distributed Nash Equilibrium Seeking in Weakly Acyclic Games.
IEEE Trans. Neural Networks Learn. Syst.
Shaolin Tan, Zhihong Fang, Yaonan Wang, Jinhu Lü
2024 J jnl
A timestamp-based Nesterov's accelerated projected gradient method for distributed Nash equilibrium seeking in monotone games.
Syst. Control. Lett.
Nian Liu, Shaolin Tan, Ye Tao, Jinhu Lü
2024 J jnl
A timestamp-based log-linear algorithm for solving locally-informed multi-agent finite games.
Expert Syst. Appl.
Zhe Li, Changdi Liu, Shaolin Tan, Yubai Liu
2024 J jnl
A timestamp-based projected gradient play for distributed Nash equilibrium seeking in monotone games.
Autom.
Shaolin Tan
2024 J jnl
Adversarial Examples Against WiFi Fingerprint-Based Localization in the Physical World.
IEEE Trans. Inf. Forensics Secur.
Jiakai Wang, Ye Tao, Yichi Zhang, Wanting Liu, Yusheng Kong, Shaolin Tan, Rongen Yan, Xianglong Liu
2024 J jnl
Utility Decoupling for Distributed Nash Equilibrium Seeking in Weakly Acyclic Games.
IEEE Trans. Syst. Man Cybern. Syst.
Shaolin Tan, Guang Yang, Haibo Gu, Kexin Liu, Jinhu Lü
2023 J jnl
A Signed Subgraph Encoding Approach via Linear Optimization for Link Sign Prediction.
CoRR
Zhihong Fang, Shaolin Tan, Yaonan Wang
2023 J jnl
An Augmented Game Approach for Design and Analysis of Distributed Learning Dynamics in Multiagent Games.
IEEE Trans. Cybern.
Shaolin Tan, Zhihong Fang, Yaonan Wang, Jinhu Lü
2023 J jnl
Consensus-Based Multipopulation Game Dynamics for Distributed Nash Equilibria Seeking and Optimization.
IEEE Trans. Syst. Man Cybern. Syst.
Shaolin Tan, Zhihong Fang, Yaonan Wang, Jinhu Lü
2023 J jnl
Elementary Subgraph Features for Link Prediction With Neural Networks.
IEEE Trans. Knowl. Data Eng.
Zhihong Fang, Shaolin Tan, Yaonan Wang, Jinhu Lü
2023 J jnl
Erratum to "Distributed Population Dynamics for Searching Generalized Nash Equilibria of Population Games With Graphical Strategy Interactions".
IEEE Trans. Syst. Man Cybern. Syst.
Shaolin Tan, Yaonan Wang, Athanasios V. Vasilakos
2023 J jnl
On the convergence of distributed projected gradient play with heterogeneous learning rates in monotone games.
Syst. Control. Lett.
Shaolin Tan, Ye Tao, Maopeng Ran, Hao Liu
2022 J jnl
A payoff-based learning approach for Nash equilibrium seeking in continuous potential games.
Neurocomputing
Shaolin Tan, Yaonan Wang
2022 J jnl
Distributed Population Dynamics for Searching Generalized Nash Equilibria of Population Games With Graphical Strategy Interactions.
IEEE Trans. Syst. Man Cybern. Syst.
Shaolin Tan, Yaonan Wang, Athanasios V. Vasilakos
2020 J jnl
Graphical Nash Equilibria and Replicator Dynamics on Complex Networks.
IEEE Trans. Neural Networks Learn. Syst.
Shaolin Tan, Yaonan Wang
2017 J jnl
Evolutionary Dynamics of Collective Behavior Selection and Drift: Flocking, Collapse, and Oscillation.
IEEE Trans. Cybern.
Shaolin Tan, Yaonan Wang, Yao Chen, Zhen Wang
2016 J jnl
A Unified Tractable Approach for Random Drifts on Dynamical Networks.
IEEE Trans. Circuits Syst. II Express Briefs
Shaolin Tan, Yaonan Wang, Yao Chen
2016 J jnl
Analysis and Control of Networked Game Dynamics via A Microscopic Deterministic Approach.
IEEE Trans. Autom. Control.
Shaolin Tan, Yaonan Wang, Jinhu Lu
2016 J jnl
Convergence analysis of discrete-time consensus algorithm with both self and transmission delays.
J. Frankl. Inst.
Yao Chen, Fangfei Li, Bo Hou, Shaolin Tan, Henghui Zhu
2016 J jnl
Emerging Behavioral Consensus of Evolutionary Dynamics on Complex Networks.
SIAM J. Control. Optim.
Shaolin Tan, Jinhu Lü, Zongli Lin
2016 J jnl
Synchronizing nonlinear complex networks via switching disconnected topology.
Autom.
Yao Chen, Wenwu Yu, Shaolin Tan, Henghui Zhu
2015 J jnl
Towards A Theoretical Framework for Analysis and Intervention of Random Drift on General Networks.
IEEE Trans. Autom. Control.
Shaolin Tan, Jinhu Lu, David John Hill
2014 B conf
Characterizing the impact of selection on the evolution of cooperation in complex networks.
IEEE Congress on Evolutionary Computation
Shasha Feng, Shaolin Tan, Jinhu Lu
2014 C conf
Exploring strategy selection in populations via a continuous evolutionary game dynamics.
ISCAS
Shaolin Tan, Jinhu Lu, Yu Hu, Maciej J. Ogorzalek
2012 C conf
Exploring evolutionary dynamics in a class of structured populations.
ISCAS
Shaolin Tan, Jinhu Lu, Xinghuo Yu, David J. Hill
2012 C conf
Monotonicity of fixation probability of evolutionary dynamics on complex networks.
IECON
Shaolin Tan, Jinhu Lu, Xinghuo Yu, David J. Hill