33 citations · 49 across the 10 of their papers we have counts for
11 papers
Eco3S: Complex Socio-Economic System Simulation via Agent-Based Models
Shaopeng Wei, Yufei Cheng, Wenxi Sun +3
The rapid development of large language models (LLMs) has renewed interest in agent-based modeling (ABM). However, current LLM-based ABM research faces several key challenges: mode…
Group boarding for airplanes: benchmarking static policies and optimizing dynamic assignment with deep reinforcement learning
Minyu Shen, Weihua Gu, Junqi Ma +3
Improving boarding efficiency reduces airplane turnaround time and improves passenger experience. Airlines typically assign passengers to a few sequential boarding groups using sta…
Transferable Graph Condensation from the Causal Perspective
Huaming Du, Yijie Huang, Su Yao +10
The increasing scale of graph datasets has significantly improved the performance of graph representation learning methods, but it has also introduced substantial training challeng…
Graph Dimension Attention Networks for Enterprise Credit Assessment
Shaopeng Wei, Beni Egressy, Xingyan Chen +4
Enterprise credit assessment is critical for evaluating financial risk, and Graph Neural Networks (GNNs), with their advanced capability to model inter-entity relationships, are a…
Towards Optimal Customized Architecture for Heterogeneous Federated Learning with Contrastive Cloud-Edge Model Decoupling
Xingyan Chen, Tian Du, Mu Wang +5
Federated learning, as a promising distributed learning paradigm, enables collaborative training of a global model across multiple network edge clients without the need for central…
Graph Learning and Its Advancements on Large Language Models: A Holistic Survey
Shaopeng Wei, Jun Wang, Yu Zhao +6
Graph learning is a prevalent domain that endeavors to learn the intricate relationships among nodes and the topological structure of graphs. Over the years, graph learning has tra…
A Comprehensive Survey on Enterprise Financial Risk Analysis from Big Data and LLMs Perspective
Huaming Du, Cancan Feng, Yuqian Lei +5
Enterprise financial risk analysis aims at predicting the future financial risk of enterprises. Due to its wide and significant application, enterprise financial risk analysis has…
Combining Intra-Risk and Contagion Risk for Enterprise Bankruptcy Prediction Using Graph Neural Networks
Yu Zhao, Shaopeng Wei, Yu Guo +6
Predicting the bankruptcy risk of small and medium-sized enterprises (SMEs) is an important step for financial institutions when making decisions about loans. Existing studies in b…
Demand Forecasting in Bike-sharing Systems Based on A Multiple Spatiotemporal Fusion Network
Xiao Yan, Gang Kou, Feng Xiao +2
Bike-sharing systems (BSSs) have become increasingly popular around the globe and have attracted a wide range of research interests. In this paper, the demand forecasting problem i…
Distributed Linguistic Representations in Decision Making: Taxonomy, Key Elements and Applications, and Challenges in Data Science and Explainable Artificial Intelligence
Yuzhu Wu, Zhen Zhang, Gang Kou +5
Distributed linguistic representations are powerful tools for modelling the uncertainty and complexity of preference information in linguistic decision making. To provide a compreh…
Learning Spatiotemporal Features of Ride-sourcing Services with Fusion Convolutional Network
Feng Xiao, Dapeng Zhang, Gang Kou +1
To collectively forecast the demand for ride-sourcing services in all regions of a city, the deep learning approaches have been applied with commendable results. However, the local…