 Embracing Large Language Models in Traffic Flow ForecastingAnnual Meeting of the Association for Computational Linguistics (ACL), 2024 |
 AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal ForecastingKnowledge Discovery and Data Mining (KDD), 2024 |
 Networkwide Traffic State Forecasting Using Exogenous Information: A
Multi-Dimensional Graph Attention-Based ApproachTransportation Research Record (TRR), 2023 |
 BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural
NetworksIEEE International Conference on Data Engineering (ICDE), 2023 |
 Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban
Computing: A SurveyIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023 |
 INCREASE: Inductive Graph Representation Learning for Spatio-Temporal
KrigingThe Web Conference (WWW), 2023 |
 Projective Ranking-based GNN Evasion AttacksIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022 |
