| 2025 | CIKM | Spatio-Temporal Forecasting under Open-World Missingness with Adaptive Mixture-of-Experts. | Chenyu Wu, Zhipeng Ma, Junbo Zhang, Songyu Ke, Yu Zheng |
| 2024 | IJCNN | GSDI: Spatio-Temporal Contrastive Learning for Geo-Sensory Data Inference. | Songyu Ke, Yuxuan Liang, Xiuwen Yi, Junbo Zhang, Yu Zheng |
| 2024 | IJCNN | VQGG: Generating Adaptive Graphs for Traffic Forecasting via a Vector-Quantized Graph Generator. | Songyu Ke, Chenyu Wu, Jinjin Guo, Junbo Zhang, Yu Zheng |
| 2023 | AAAI | 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 |
| 2022 | ICDM | Efficient Spatio-Temporal Randomly Wired Neural Networks for Traffic Forecasting. | Li Song, Kainan Bao, Songyu Ke, Chunyang Li, Junbo Zhang, Yu Zheng |
| 2021 | AAAI | Robust Spatio-Temporal Purchase Prediction via Deep Meta Learning. | Huiling Qin, Songyu Ke, Xiaodu Yang, Haoran Xu, Xianyuan Zhan, Yu Zheng |
| 2021 | WWW | AutoSTG: Neural Architecture Search for Predictions of Spatio-Temporal Graph✱. | Zheyi Pan, Songyu Ke, Xiaodu Yang, Yuxuan Liang, Yong Yu, Junbo Zhang, Yu Zheng |
| 2018 | IJCAI | GeoMAN: Multi-level Attention Networks for Geo-sensory Time Series Prediction. | Yuxuan Liang, Songyu Ke, Junbo Zhang, Xiuwen Yi, Yu Zheng |