5 papers
LLM-Based Hierarchical Coordinated Control with Continuation-Aware Policy Learning
Changhong He, Jinda Gao, Xinkuan Liu +3
Coordinating multiple interacting units in complex engineering systems is challenging when system interactions are difficult to model, operational information is heterogeneous, and…
TimeFound: A Foundation Model for Time Series Forecasting
Congxi Xiao, Jingbo Zhou, Yixiong Xiao +3
We present TimeFound, an encoder-decoder transformer-based time series foundation model for out-of-the-box zero-shot forecasting. To handle time series data from various domains, T…
CHAT: Beyond Contrastive Graph Transformer for Link Prediction in Heterogeneous Networks
Shengming Zhang, Le Zhang, Jingbo Zhou +1
Link prediction in heterogeneous networks is crucial for understanding the intricacies of network structures and forecasting their future developments. Traditional methodologies of…
Labor Migration Modeling through Large-scale Job Query Data
Zhuoning Guo, Le Zhang, Hengshu Zhu +3
Accurate and timely modeling of labor migration is crucial for various urban governance and commercial tasks, such as local policy-making and business site selection. However, exis…
Convergence-aware Clustered Federated Graph Learning Framework for Collaborative Inter-company Labor Market Forecasting
Zhuoning Guo, Hao Liu, Le Zhang +3
Labor market forecasting on talent demand and supply is essential for business management and economic development. With accurate and timely forecasts, employers can adapt their re…