Publications

You can also find my articles on my Google Scholar profile.

Feature-driven Hybrid Attention Learning for Accurate Water Quality Prediction

Published in Expert Systems with Applications (ESWA), 2025

We propose a hybrid model that combines linguistic feature selection with dual attention mechanisms to achieve state-of-the-art water quality prediction accuracy across spatiotemporal scales.

Recommended citation: X. Yao, Z. Xu, T. Ren, and X.-J. Zeng, "Feature-driven Hybrid Attention Learning for Accurate Water Quality Prediction," Expert Systems with Applications, vol. 276, 127160, 2025.
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Bottom-Up Reputation Promotes Cooperation with Multi-Agent Reinforcement Learning

Published in Autonomous Agents and Multiagent Systems (AMMAS), 2025

This paper introduces a novel bottom-up reputation learning method to enhance cooperation in multi-agent reinforcement learning.

Recommended citation: T. Ren, X. Yao, Y. Li, and X.-J. Zeng, "Bottom-Up Reputation Promotes Cooperation with Multi-Agent Reinforcement Learning," Autonomous Agents and Multiagent Systems (AMMAS), 2025.
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Temporal Interaction and its Role in the Evolution of Cooperation

Published in Physical Review E (PRE), 2024

We show that intermediate interaction frequencies and localized synchronization enhance cooperation in social dilemmas by balancing engagement and inactivity and fostering cooperative clusters.

Recommended citation: Y. He, T. Ren, X.-J. Zeng, H. Liang, L. Yu, and J. Zheng, "Temporal Interaction and Its Role in the Evolution of Cooperation," Physical Review E, vol. 110, no. 2, pp. 024210, Aug. 2024.
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Enhancing Cooperation through Selective Interaction and Long-term Experiences in Multi-Agent Reinforcement Learning

Published in International Joint Conference on Artificial Intelligence (IJCAI), 2024

This paper explores how agents can learn both interaction strategies and dilemma-solving tactics from their long-term experiences.

Recommended citation: T. Ren and X.J. Zeng, "Enhancing Cooperation through Selective Interaction and Long-term Experiences in Multi-Agent Reinforcement Learning," International Joint Conference on Artificial Intelligence (IJCAI). Jeju, Korea (2024).
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Reputation-based Interaction Promotes Cooperation with Reinforcement Learning

Published in IEEE Transactions on Evolutionary Computation (TEVC), 2023

We introduce an adaptive interaction mechanism using reinforcement learning to study how artificial agents self-organize and adapt their connections in social dilemmas.

Recommended citation: T. Ren and X.J. Zeng, "Reputation-based Interaction Promotes Cooperation with Reinforcement Learning," IEEE Transactions on Evolutionary Computation, vol. 28, no. 4, pp. 1177-1188, 2024.
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Promoting Cooperation through Dynamic Trustworthiness in Spatial Public Goods Games

Published in Applied Mathematics and Computation, 2023

This study explores the role of dynamic trustworthiness in promoting cooperation, focusing on strategy updates and cooperative cluster formation.

Recommended citation: M. Zhang, T. Ren, X.-J. Zeng, and J. Li, "Promoting Cooperation through Dynamic Trustworthiness in Spatial Public Goods Games," Applied Mathematics and Computation, vol. 479, p. 128903, Oct. 2024, doi: 10.1016/j.amc.2024.128903.
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Evolution of Cooperation in Public Goods Games with Dynamic Resource Allocation: A Fairness Preference Perspective

Published in Applied Mathematics and Computation, 2023

This study examines the evolution of cooperation in public goods games with dynamic resource allocation, emphasizing a fairness preference perspective.

Recommended citation: Y. Huang, T. Ren, J. Zheng, W. Liu and M. Zhang, “Evolution of Cooperation in Public Goods Games with Dynamic Resource Allocation: A Fairness Preference Perspective,” Applied Mathematics and Computation, vol. 445, p. 127844, 2023.
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Evolution dynamics with the switching strategy of punishment and expulsion in the spatial public goods game

Published in New Journal of Physics, 2023

The study explores cooperation evolution in dynamic resource allocation public goods games from a fairness preference standpoint.

Recommended citation: S. Zhuo, J. Liu, T. Ren and J. Sun, “Evolution dynamics with the switching strategy of punishment and expulsion in the spatial public goods game,” New Journal of Physics, vol. 24, p. 123020, 2022.
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Incentive strategy models of household waste separation based on cost uncertainties: A perspective of social networks

Published in Journal of Cleaner Production, 2022

This paper aims to model individual interactions and incentive strategies for improving public awareness of household waste separation in China, using robust optimization techniques to account for uncertainty.

Recommended citation: G. Ma, T. Ren, J. Zheng, T. Ding and J. Liu, “Incentive strategy models of household waste separation based on cost uncertainties: A perspective of social networks,” Journal of Cleaner Production, vol. 363, p. 132429, 2022.
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Evolution of cooperation in public goods games with segregated networks and periodic invasion

Published in Physica A: Statistical Mechanics and its Application, 2022

The study introduces a segregation strategy that prompts individuals to sever unfavorable ties in social networks, incurring some cost, and then randomly rewires cooperative individuals.

Recommended citation: J. Zheng, Y. Jie, T. Ren and Y. Huang, “Evolution of cooperation in public goods games with segregated networks and periodic invasion,” Physica A: Statistical Mechanics and its Applications, vol. 596, p. 127191, 2022.
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Evolutionary dynamics in the spatial public goods game with tolerance-based expulsion and cooperation

Published in Chaos, Solitons & Fractals, 2021

We propose a tolerance-based expulsion mechanism in a social game, which triggers expulsion when the number of defectors exceeds a tolerance threshold.

Recommended citation: T. Ren and J. Zheng, “Evolutionary dynamics in the spatial public goods game with tolerance-based expulsion and cooperation,” Chaos, Solitons & Fractals, vol. 151, p. 111241, 2021.
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The emergence and implementation of pool exclusion in spatial public goods game with heterogeneous ability-to-pay

Published in Applied Mathematics and Computation, 2021

The paper investigates how dynamic cost and individual ability-to-pay affect cooperation when using social exclusion as a sanction in a public goods game.

Recommended citation: J. Zheng, T. Ren, G. Ma and J. Dong, “The emergence and implementation of pool exclusion in spatial public goods game with heterogeneous ability-to-pay,” Applied Mathematics and Computation, vol. 394, p. 125835, 2021.
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Low-carbon technology collaborative innovation in industrial cluster with social exclusion: An evolutionary game theory perspective

Published in Chaos: An Interdisciplinary Journal of Nonlinear Science, 2021

This study employs a game model with a social exclusion mechanism to drive low-carbon technology collaboration in industrial clusters.

Recommended citation: K. Zhou and T. Ren, “Low-carbon technology collaborative innovation in industrial cluster with social exclusion: An evolutionary game theory perspective,” Chaos: An Interdisciplinary Journal of Nonlinear Science, vol. 31, 2021.
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Tianyu Ren

Publications