Brief Bio
Xiuwen Yi (易修文) is currently a Data Scientist at JD Intelligent Cities Research. He got his Ph.D. degree in Computer Science and Technology from Southwest Jiaotong University in 2018. He was a Postdoctoral Researcher at JD & Tsinghua University during 2019-2020, a visiting scholar at Penn State University during 2017-2018, and a research intern at Microsoft Research Asia during 2014-2017. His research interests include Spatio-Temporal Data Intelligence, Deep Learning, and Urban Computing. He has published 30+ referred publications at prestigious international conferences and journals (with 3,500+ citations). Also, he is experienced in building real-world AI applications, consisting of UrbanAir, CityTraffic, GasTheft, SmartHeat, EventCommand, ScenicBrain, EpidemicShield. He was selected into the Beijing Nova Program (2021).
Education
Ph.D. in Computer Science and Technology, Southwest Jiaotong University, 2013 – 2018
Supervised by Prof. Tianrui Li & Prof. Yu Zheng
B.S. in Software Engineering, Southwest Jiaotong University, 2009 – 2013
Mao Yisheng Honors Class
Work Experiences
Research Publications
- Dekang Qi, Xiuwen Yi*, Chengjie Guo, Yanyong Huang, Junbo Zhang, Tianrui Li, Yu Zheng. Spatio-Temporal Consistency Enhanced Differential Network for Interpretable Indoor Temperature Prediction. In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024).
- Lusheng Pan, Xiuwen Yi*, Chun Cheng, Yanyong Huang, Yu Zheng. Neural clustering and ranking approach for gas-theft suspect detection. Human-Centric Intelligent Systems (HCIN 2023).
- Zhewen Duan, Xiuwen Yi*, Peng Li, Dekang Qi, Yexin Li, Haoran Xu, Yanyong Huang, Junbo Zhang, Yu Zheng. Multi-Memory enhanced Separation Network for Indoor Temperature Prediction. In Proceedings of the 27th International Conference on Database Systems for Advanced Applications (DASFAA 2022).
- 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 Transactions on Knowledge and Data Engineering (IEEE TKDE 2021).
- Xiaodu Yang, Xiuwen Yi*, Shun Chen, Sijie Ruan, Junbo Zhang, Yu Zheng, Tianrui Li. You Are How You Use: Catching Gas Theft Suspects among Diverse Restaurant Users. In Proceedings of the 25th ACM International Conference on Information and Knowledge Management (CIKM 2020).
- Xiuwen Yi, Zhewen Duan, Ting Li, Ruiyuan Li, Junbo Zhang, Tianrui Li, Yu Zheng. Predicting Fine-Grained Air Quality Based on Deep Neural Networks. IEEE Transactions on Big Data (IEEE TBD 2020).
- Xiuwen Yi, Zhewen Duan, Ting Li, Tianrui Li, Junbo Zhang, Yu Zheng. CityTraffic: Modeling Citywide Traffic via Neural Memorization and Generalization Approach. In Proceedings of the 24th ACM International Conference on Information and Knowledge Management (CIKM 2019).
- Xiuwen Yi, Junbo Zhang, Zhaoyuan Wang, Tianrui Li, Yu Zheng. Deep Distributed Fusion Network for Air Quality Prediction. In Proceedings of the 24th SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2018).
- Xiuwen Yi, Yu Zheng, Junbo Zhang, Tianrui Li. ST-MVL: Filling Missing Values in Geo-sensory Time Series Data. In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI 2016).
- 易修文, 李天瑞, 张钧波, 滕飞. 不同MapReduce运行系统的性能测试与分析. 计算机科学, 2015.
Industry Systems
UrbanAir
UrbanAir system has been deployed with the Ministry of Environmental Protection of China, where the prediction accuracy have 22% improvements comparing with the official predictions from Beijing municipal environmental monitoring center
CityTraffic
CityTraffic system has been deployed with the big data demonstration center in Guiyang, providing real-time city-wide traffic speed and volume information. The system is implemented with a parallel big data modeling architecture
GasTheft
GasTheft system has been deployed with the Beijing Gas Group Company, detecting suspects of gas-theft using data-driven approaches for reducing the quantity difference between supply and marketing
SmartHeat
SmartHeating system has been deployed with the Tianjin Energy Investment Company and hotels, optimizing cold and hot supply for saving energy
