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2020 – today
- 2024
[c7]Songyu Ke, Yuxuan Liang, Xiuwen Yi, Junbo Zhang, Yu Zheng:
GSDI: Spatio-Temporal Contrastive Learning for Geo-Sensory Data Inference. IJCNN 2024: 1-8- [c6]Songyu Ke, Chenyu Wu, Jinjin Guo, Junbo Zhang, Yu Zheng:
VQGG: Generating Adaptive Graphs for Traffic Forecasting via a Vector-Quantized Graph Generator. IJCNN 2024: 1-8 - 2023
- [j2]Songyu Ke
, Zheyi Pan, Tianfu He, Yuxuan Liang, Junbo Zhang, Yu Zheng:
AutoSTG+: An automatic framework to discover the optimal network for spatio-temporal graph prediction. Artif. Intell. 318: 103899 (2023) - [c5]Yuxuan Liang, Yutong Xia, Songyu Ke, Yiwei Wang, Qingsong Wen, Junbo Zhang, Yu Zheng, Roger Zimmermann:
AirFormer: Predicting Nationwide Air Quality in China with Transformers. AAAI 2023: 14329-14337 - [i2]Songyu Ke, Ting Li, Li Song, Yanping Sun, Qintian Sun, Junbo Zhang, Yu Zheng:
Spatio-Temporal Contrastive Self-Supervised Learning for POI-level Crowd Flow Inference. CoRR abs/2309.03239 (2023) - 2022
- [j1]Xiuwen Yi, Xiaodu Yang, Yanyong Huang, Songyu Ke, Junbo Zhang, Tianrui Li, Yu Zheng:
Gas-Theft Suspect Detection Among Boiler Room Users: A Data-Driven Approach. IEEE Trans. Knowl. Data Eng. 34(12): 5796-5808 (2022) - [c4]Li Song, Kainan Bao, Songyu Ke, Chunyang Li, Junbo Zhang, Yu Zheng:
Efficient Spatio-Temporal Randomly Wired Neural Networks for Traffic Forecasting. ICDM (Workshops) 2022: 1-8 - [i1]Yuxuan Liang, Yutong Xia, Songyu Ke, Yiwei Wang, Qingsong Wen, Junbo Zhang, Yu Zheng, Roger Zimmermann:
AirFormer: Predicting Nationwide Air Quality in China with Transformers. CoRR abs/2211.15979 (2022) - 2021
- [c3]Huiling Qin, Songyu Ke, Xiaodu Yang, Haoran Xu, Xianyuan Zhan, Yu Zheng:
Robust Spatio-Temporal Purchase Prediction via Deep Meta Learning. AAAI 2021: 4312-4319 - [c2]Zheyi Pan, Songyu Ke, Xiaodu Yang, Yuxuan Liang, Yong Yu, Junbo Zhang, Yu Zheng:
AutoSTG: Neural Architecture Search for Predictions of Spatio-Temporal Graph✱. WWW 2021: 1846-1855
2010 – 2019
- 2018
- [c1]Yuxuan Liang, Songyu Ke, Junbo Zhang, Xiuwen Yi, Yu Zheng:
GeoMAN: Multi-level Attention Networks for Geo-sensory Time Series Prediction. IJCAI 2018: 3428-3434
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