Paper Publications

• [1]1.Kun Wang, Zhengyang Zhou, Xu Wang, Pengkun Wang, Qi Fang, Yang Wang*, A2DJP: A Two Graph-based Component Fused Learning Framework for Urban Anomaly Distribution and Duration Joint-Prediction., IEEE Transactions on Knowledge and Data Engineering, (TKDE), 2022..
• [2]2.Pengkun Wang, Chaochao Zhu, Xu Wang, Zhengyang Zhou, Guang Wang, Yang Wang*, Inferring Intersection Traffic Patterns with Sparse Video Surveillance Information: An ST-GAN method., IEEE Transactions on Vehicular Technology, (TVT), 2022..
• [3]3.Wenjie Du, Lianliang Chen, Haoran Wang, Ziyang Shan, Zhengyang Zhou, Wenwei Li, Yang Wang*, Deciphering Urban Traffic Impacts on Air Quality by Deep Learning and Emission Inventor, Journal of Environmental Sciences, (JESC), 2022..
• [4]4.Yudong Zhang, Binwu Wang, Ziyang Shan, Zhengyang Zhou, Yang Wang*, CMT-Net: A Mutual Transition Aware Framework for Taxicab Pick-ups and Drop-offs Co-Prediction, ACM International Conference on Web Search and Data Mining, (WSDM), 2022..
• [5]5.Pengkun Wang, Chuancai Ge, Zhengyang Zhou, Xu Wang, Yuantao Li, Yang Wang*, Joint Gated Co-attention Based Multi-modal Networks for Subregion House Price Prediction, IEEE Transactions on Knowledge and Data Engineering, (TKDE), 2021..
• [6]6.Zhengyang Zhou, Yang Wang*, Xike Xie, Lei Qiao, Yuantao Li, STUaNet: Understanding Uncertainty in Spatiotemporal Collective Human Mobility, 30th The Web Conference, (WWW), 2021..
• [7]7.Zhengyang Zhou, Yang Wang*, Xike Xie, Lianliang Chen, Chaochao Zhu, Foresee Urban Sparse Traffic Accidents: A Spatiotemporal Multi-Granularity Perspective, IEEE Transactions on Knowledge and Data Engineering, (TKDE), 2021..
• [8]8.kangjia Shao, Yang Wang*, Zhengyang Zhou, Xike Xie, Guang Wang, TrajForesee: How limited detailed trajectories enhance large-scale sparse information to predict vehicle trajectories?, IEEE 37th International Conference on Data Engineering, (ICDE), 2021..
• [9]9.Ting Wang, Xike Xie*, Xin Cao, Torben Bach Pedersen, Yang Wang, Mingjun Xiao, On Efficient and Scalable Time-Continous Spatial Crowdsourcing, IEEE 37th International Conference on Data Engineering, (ICDE), 2021..
• [10]10.Yang Wang*, Zhengyang Zhou, Kai Liu, Xike Xie, Wenhua Li, Large-Scale Intelligent Taxicab Scheduling: A Distributed and Future-Aware Approach, IEEE Transactions on Vehicular Technology, (TVT), 2020..