Songyu Ke

According to our database, Songyu Ke authored at least 10 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

VQGG: Generating Adaptive Graphs for Traffic Forecasting via a Vector-Quantized Graph Generator.

Songyu Ke, Chenyu Wu, Jinjin Guo, Junbo Zhang, Yu Zheng

Proceedings of the International Joint Conference on Neural Networks, 2024

GSDI: Spatio-Temporal Contrastive Learning for Geo-Sensory Data Inference.

Songyu Ke, Yuxuan Liang, Xiuwen Yi, Junbo Zhang, Yu Zheng

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

AutoSTG⁺: An automatic framework to discover the optimal network for spatio-temporal graph prediction.

Songyu Ke, Zheyi Pan, Tianfu He, Yuxuan Liang, Junbo Zhang, Yu Zheng

Artif. Intell., May, 2023

Spatio-Temporal Contrastive Self-Supervised Learning for POI-level Crowd Flow Inference.

Songyu Ke, Ting Li, Li Song, Yanping Sun, Qintian Sun, Junbo Zhang, Yu Zheng

CoRR, 2023

AirFormer: Predicting Nationwide Air Quality in China with Transformers.

Yuxuan Liang, Yutong Xia, Songyu Ke, Yiwei Wang, Qingsong Wen, Junbo Zhang, Yu Zheng, Roger Zimmermann

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Gas-Theft Suspect Detection Among Boiler Room Users: A Data-Driven Approach.

Xiuwen Yi, Xiaodu Yang, Yanyong Huang, Songyu Ke, Junbo Zhang, Tianrui Li, Yu Zheng

IEEE Trans. Knowl. Data Eng., 2022

Efficient Spatio-Temporal Randomly Wired Neural Networks for Traffic Forecasting.

Li Song, Kainan Bao, Songyu Ke, Chunyang Li, Junbo Zhang, Yu Zheng

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

2021

AutoSTG: Neural Architecture Search for Predictions of Spatio-Temporal Graph✱.

Zheyi Pan, Songyu Ke, Xiaodu Yang, Yuxuan Liang, Yong Yu, Junbo Zhang, Yu Zheng

Proceedings of the WWW '21: The Web Conference 2021, 2021

Robust Spatio-Temporal Purchase Prediction via Deep Meta Learning.

Huiling Qin, Songyu Ke, Xiaodu Yang, Haoran Xu, Xianyuan Zhan, Yu Zheng

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2018

GeoMAN: Multi-level Attention Networks for Geo-sensory Time Series Prediction.

Yuxuan Liang, Songyu Ke, Junbo Zhang, Xiuwen Yi, Yu Zheng

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018