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  • Li F, Feng J, Yan H, et al. Crowd Flow Prediction for irregular Regions with Semantic Graph Attention Network[J]. ACM Transactions on Intelligent Systems and Technology (TIST), 2022. Link
  • Li H, Li X, Su L, et al. Deep Spatio-temporal Adaptive 3D Convolutional Neural Networks for Traffic Flow Prediction[J]. ACM Transactions on Intelligent Systems and Technology (TIST), 2022, 13(2): 1-21. Link
  • Lu Z, Lv W, Xie Z, et al. Graph Sequence Neural Network with an Attention Mechanism for Traffic Speed Prediction[J]. ACM Transactions on Intelligent Systems and Technology (TIST), 2022, 13(2): 1-24. Link
  • Lu B, Gan X, Jin H, et al. Make More Connections: Urban Traffic Flow Forecasting with Spatiotemporal Adaptive Gated Graph Convolution Network[J]. ACM Transactions on Intelligent Systems and Technology (TIST), 2022, 13(2): 1-25. Link
  • Wang S, Zhang M, Miao H, et al. Multivariate Correlation-aware Spatio-temporal Graph Convolutional Networks for Multi-scale Traffic Prediction[J]. ACM Transactions on Intelligent Systems and Technology (TIST), 2022, 13(3): 1-22. Link
  • Jiang R, Cai Z, Wang Z, et al. Predicting Citywide Crowd Dynamics at Big Events: A Deep Learning System[J]. ACM Transactions on Intelligent Systems and Technology (TIST), 2022, 13(2): 1-24. Link Code
  • Zhang Y, Li Y, Zhou X, et al. Urban Traffic Dynamics Prediction—A Continuous Spatial-temporal Meta-learning Approach[J]. ACM Transactions on Intelligent Systems and Technology (TIST), 2022, 13(2): 1-19. Link