Sijie Ruan

Name: Ruan Sijie
Discipline: Computer Science and Technology
Title: Pre-appointed Assistant Professor, Special Associate Researcher
Contact number:
E-mail: sjruan@bit.edu.cn
Address: 3rd Floor, Training Building, Beijing Institute of Technology, Haidian District, Beijing Personal Information
Ruan Sijie, Ph.D., pre-appointed Assistant Professor, Special Associate Researcher, Master Supervisor. He received his bachelor's degree and Doctor's degree from Xidian University in 2017 and 2022 respectively. During the doctoral period, he was jointly trained by Nanyang Technological University, Singapore, and has interned in Microsoft Research Asia and Jingdong Smart City Research Institute. His research interests include spatio-temporal data mining and management, and urban computing. He has published more than 30 papers in TKDE, KDD, AAAI, ICDE, WWW and other internationally renowned journals or conferences, including nearly 20 CCF Class A papers, of which 7 CCF Class A papers were published as the first author. The supervised paper won the SIGSPATIAL Best Presentation Paper Award in the field of geographic information. Participated in the national key research and development program, National Natural Science Foundation key projects, surface projects 5, applied for or authorized patents 12. Invited to serve as a reviewer for 13 international high-level conferences or journals such as AAAI, KDD and TIST.
News: We plan to recruit 3-4 master students every year. We welcome hard-working, practical and self-driven students majoring in computer science, geographic information and other related majors.
Personal Homepage: http://www.sjruan.me/

Research Direction
Spatiotemporal data Mining and management, urban computing, spontaneous geographic information, Artificial Intelligence

Personal Information
Ruan Sijie, Ph.D., pre-appointed Assistant Professor, Special Associate Researcher, Master Supervisor. He received his bachelor's degree and Doctor's degree from Xidian University in 2017 and 2022 respectively. During the doctoral period, he was jointly trained by Nanyang Technological University, Singapore, and has interned in Microsoft Research Asia and Jingdong Smart City Research Institute. His research interests include spatio-temporal data mining and management, and urban computing. He has published more than 30 papers in TKDE, KDD, AAAI, ICDE, WWW and other internationally renowned journals or conferences, including nearly 20 CCF Class A papers, of which 7 CCF Class A papers were published as the first author. The supervised paper won the SIGSPATIAL Best Presentation Paper Award in the field of geographic information. Participated in the national key research and development program, National Natural Science Foundation key projects, surface projects 5, applied for or authorized patents 12. Invited to serve as a reviewer for 13 international high-level conferences or journals such as AAAI, KDD and TIST.
News: We plan to recruit 3-4 master students every year. We welcome hard-working, practical and self-driven students majoring in computer science, geographic information and other related majors.
Personal Homepage: http://www.sjruan.me/

Personal Information
Ruan Sijie, Ph.D., pre-appointed Assistant Professor, Special Associate Researcher, Master Supervisor. He received his bachelor's degree and Doctor's degree from Xidian University in 2017 and 2022 respectively. During the doctoral period, he was jointly trained by Nanyang Technological University, Singapore, and has interned in Microsoft Research Asia and Jingdong Smart City Research Institute. His research interests include spatio-temporal data mining and management, and urban computing. He has published more than 30 papers in TKDE, KDD, AAAI, ICDE, WWW and other internationally renowned journals or conferences, including nearly 20 CCF Class A papers, of which 7 CCF Class A papers were published as the first author. The supervised paper won the SIGSPATIAL Best Presentation Paper Award in the field of geographic information. Participated in the national key research and development program, National Natural Science Foundation key projects, surface projects 5, applied for or authorized patents 12. Invited to serve as a reviewer for 13 international high-level conferences or journals such as AAAI, KDD and TIST.
News: We plan to recruit 3-4 master students every year. We welcome hard-working, practical and self-driven students majoring in computer science, geographic information and other related majors.
Personal Homepage: http://www.sjruan.me/

代表性学术成果
1. Sijie Ruan, Cheng Long, Zhipeng Ma, Jie Bao, Tianfu He, Ruiyuan Li, Yiheng Chen, Shengnan Wu, Yu Zheng. Service Time Prediction for Delivery Tasks via Spatial Meta-Learning. [KDD’22] (CCF A).
2. Sijie Ruan, Cheng Long, Xiaodu Yang, Tianfu He, Ruiyuan Li, Jie Bao, Yiheng Chen, Shengnan Wu, Jiangtao Cui, Yu Zheng. Discovering Actual Delivery Locations from Mis-Annotated Couriers’ Trajectories. [ICDE’22] (CCF A).
3. Sijie Ruan, Xi Fu, Cheng Long, Zi Xiong, Jie Bao, Ruiyuan Li, Yiheng Chen, Shengnan Wu, Yu Zheng. Filling Delivery Time Automatically Based on Couriers’ Trajectories. [TKDE] (CCF A), 2021.
4. Yue Hu, Sijie Ruan*, Yuting Ni, Huajun He, Jie Bao, Ruiyuan Li, Yu Zheng. SALON: A Universal Stay Point-Based Location Analysis Platform (Demo Paper). [SIGSPATIAL’21] (Best Demo Paper Award).
5. Sijie Ruan, Cheng Long, Jie Bao, Chunyang Li, Zisheng Yu, Ruiyuan Li, Yuxuan Liang, Tianfu He, Yu Zheng. Learning to Generate Maps from Trajectories. [AAAI'20] (CCF A).
6. Sijie Ruan, Zi Xiong, Cheng Long, Yiheng Chen, Jie Bao, Tianfu He, Ruiyuan Li, Shengnan Wu, Zhongyuan Jiang, Yu Zheng. Doing in One Go: Delivery Time Inference Based on Couriers’ Trajectories. [KDD’20] (CCF A).
7. Sijie Ruan, Jie Bao, Yuxuan Liang, Ruiyuan Li, Tianfu He, Chuishi Meng, Yanhua Li, Yingcai Wu, Yu Zheng. Dynamic Public Resource Allocation Based on Human Mobility Prediction. [IMWUT/UbiComp’20] (CCF A).
8. Sijie Ruan, Ruiyuan Li, Jie Bao, Tianfu He, Yu Zheng. CloudTP: A Cloud-based Flexible Trajectory Preprocessing Framework (Demo Paper). [ICDE’18] (CCF A).
所获奖励