28 citations · 109 across the 32 of their papers we have counts for
34 papers
Learning to cooperate in a changing world: How caring about the future promotes cooperation across scales
Yuxin Geng, Xingru Chen, Xin Wang +4
In social dilemmas, individuals need to forgo short-term temptations to achieve synergistic collective outcomes through cooperation. Previous work has examined mechanisms through w…
Topology-induced Operators Reveal Complementary Graph Representations without Training
Meng Qin, Jinqiang Cui, Hongwei Zheng +2
Graph representation learning has largely focused on designing increasingly sophisticated models to transform graph topology into vector representations, or embeddings. However, th…
Control of Harmful Information Spreading on Adaptive Higher-Order Networks via Group Dissolution
Longzhao Liu, Zhihao Han, Xingru Chen +4
Curbing harmful information contagion remains a critical challenge, motivating platform-level interventions such as group dissolution to sever transmission chains. However, in prac…
Toward Annotation-Efficient Continuous Emotion Arousal Quantification via Group-Level EEG Dynamic Neural Synchrony
Guandong Pan, Yaqian Yang, Shi Chen +4
Continuous emotional arousal quantification remains bottlenecked by time-consuming and labor-intensive manual annotation. This work investigates group-level EEG dynamic neural sync…
Immunization on Temporal Higher-Order Networks
Zhihao Han, Longzhao Liu, Xin Wang +3
Network immunization is a powerful tool for controlling contagion processes ranging from infectious diseases to misinformation diffusion. While prior works have focused on pairwise…
Identifying vulnerable nodes for hypergraph dismantling via higher-order competition dynamics
Yajing Hao, Longzhao Liu, Xin Wang +3
Network dismantling aims to identify a node removal sequence that can rapidly destroy network connectivity, which is an important problem for understanding the structural fragility…
Emergent dilemma and periodic oscillation in the nonlinear interplay between epidemic and behavior
Longzhao Liu, Hongwei Zheng, Yajing Hao +3
Human behaviors, particularly non-pharmaceutical interventions (NPIs), are dynamically coupled with epidemic spreading. While prior studies mainly assume a linear interplay, real-w…
Stereotyping by strategy standing diversifies cooperation patterns in indirect reciprocity
Ming Wei, Xin Wang, Wenqiang Zhu +4
Indirect reciprocity explains how cooperation evolves through social reputations. People observe others, assign reputations, and condition their future actions on these assignments…
Replacing Parameters with Preferences: Federated Alignment of Heterogeneous Vision-Language Models
Shule Lu, Yujing Wang, Hainan Zhang +5
Vision-Language Models (VLMs) have broad potential in privacy-sensitive domains such as healthcare and finance, yet strict data-sharing constraints render centralized training infe…
Indirect reciprocity beyond pairwise interactions
Ming Wei, Xin Wang, Junyu Lu +5
Cooperation in groups underpins collective responses to challenges from climate governance to public goods provision, yet how moral evaluation sustains it remains poorly understood…
Reinforcement learning with reputation-based adaptive exploration promotes cooperation
An Li, Wenqiang Zhu, Chaoqian Wang +5
Reinforcement learning provides a framework for studying how individuals adjust their behavior through repeated interaction and feedback in social dilemmas. In Q-learning, explorat…
Replacing Parameters with Preferences: Federated Alignment of Heterogeneous Vision-Language Models
Shule Lu, Yujing Wang, Hainan Zhang +5
VLMs have broad potential in privacy-sensitive domains such as healthcare and finance, yet strict data-sharing constraints render centralized training infeasible. FL mitigates this…
Indirect Reciprocity with Environmental Feedback
Yishen Jiang, Xin Wang, Ming Wei +4
Indirect reciprocity maintains cooperation in stranger societies by mapping individual behaviors onto reputation signals via social norms. Existing theoretical frameworks assume st…
Stable-RAG: Mitigating Retrieval-Permutation-Induced Hallucinations in Retrieval-Augmented Generation
Qianchi Zhang, Hainan Zhang, Liang Pang +2
Retrieval-Augmented Generation (RAG) has become a key paradigm for reducing factual hallucinations in Large Language Models (LLMs), yet little is known about how the order of retri…
Emergence, Evolution and Manipulation of Swing Voters in Presidential Election
Ziqian Liu, Xin Wang, Junyu Lu +3
Political polarization, fueled by public discourse and echo chambers, threatens the foundation of democratic elections. However, traditional one-dimensional opinion models -- assum…
Nonlinear Public Goods Game in Dynamical Environments
Yishen Jiang, Xin Wang, Wenqiang Zhu +4
The evolutionary mechanisms of cooperative behavior represent a fundamental topic in complex systems and evolutionary dynamics. Real-world collective interactions, particularly in…
Toward a Realistic Encoding Model of Auditory Affective Understanding in the Brain
Guandong Pan, Yaqian Yang, Shi Chen +4
In affective neuroscience and emotion-aware AI, understanding how complex auditory stimuli drive emotion arousal dynamics remains unresolved. This study introduces a computational…
HyFedRAG: A Federated Retrieval-Augmented Generation Framework for Heterogeneous and Privacy-Sensitive Data
Cheng Qian, Hainan Zhang, Yongxin Tong +2
Centralized RAG pipelines struggle with heterogeneous and privacy-sensitive data, especially in distributed healthcare settings where patient data spans SQL, knowledge graphs, and…
Higher-order network adaptivity: co-evolution of higher-order structure and spreading dynamics
Longzhao Liu, Hongwei Zheng, Zhihao Han +2
The co-evolution of structure and dynamics, known as adaptivity, is a fundamental property in various systems and drives diverse emergent behaviors. However, the adaptivity in prev…
Evolution of cooperation and competition in multilayer networks
Wenqiang Zhu, Xin Wang, Chaoqian Wang +5
Cooperation and competition coexist and coevolve in natural and social systems. Cooperation generates resources, which in turn, drive non-cooperative competition to secure individu…
ContribChain: A Stress-Balanced Blockchain Sharding Protocol with Node Contribution Awareness
Xinpeng Huang, Wanqing Jie, Shiwen Zhang +8
Existing blockchain sharding protocols have focused on eliminating imbalanced workload distributions. However, even with workload balance, disparities in processing capabilities ca…
CodeBC: A More Secure Large Language Model for Smart Contract Code Generation in Blockchain
Lingxiang Wang, Hainan Zhang, Qinnan Zhang +4
Large language models (LLMs) excel at generating code from natural language instructions, yet they often lack an understanding of security vulnerabilities. This limitation makes it…
Learning to Erase Private Knowledge from Multi-Documents for Retrieval-Augmented Large Language Models
Yujing Wang, Jinwen Chen, Hainan Zhang +5
Retrieval-Augmented Generation (RAG) is a promising technique for applying LLMs to proprietary domains. However, retrieved documents may contain sensitive knowledge, posing risks o…
Know Your Account: Double Graph Inference-based Account De-anonymization on Ethereum
Shuyi Miao, Wangjie Qiu, Hongwei Zheng +6
The scaled Web 3.0 digital economy, represented by decentralized finance (DeFi), has sparked increasing interest in the past few years, which usually relies on blockchain for token…