个人简介
阮思捷，博士，预聘助理教授、特别副研究员，硕士生导师。分别于2017年和2022年取得西安电子科技大学学士和博士学位。博士期间国家公派新加坡南洋理工大学联合培养，曾先后在微软亚洲研究院及京东智能城市研究院实习。主要研究方向为时空数据挖掘与管理、城市计算。在TKDE、KDD、AAAI、ICDE、WWW等国际著名期刊或会议上发表论文30余篇，含CCF A类论文近20篇，其中以第一作者发表CCF A类论文7篇。指导论文获地理信息领域顶会SIGSPATIAL最佳演示论文奖。参与国家重点研发计划、国家自然科学基金重点项目、面上项目5项，申请或授权专利12项。受邀担任AAAI、KDD、TIST等13个国际高水平会议或期刊的审稿人。
Education
Ph.D. in Computer Science, School of Computer Science and Technology, Xidian University 2017.9 - 2022.6
Advisor: Prof. Yu Zheng
Visiting Ph.D. Student in Computer Science, School of Computer Science and Engineering, Nanyang Technological University 2021.9 - 2022.4
Advisor: Asst. Prof. Cheng Long
B.Eng. in Computer Science, Excellent Class, School of Computer Science and Technology, Xidian University 2013.8 - 2017.7
Advisor: Assoc. Prof. Zhongyuan Jiang
Working Experiences
Assistant Professor, School of Computer Science and Technology, Beijing Institute of Technology 2022.7 - Present
Research Intern, JD Intelligent Cities Research, JD Group 2018.1 - 2021.6
Mentor: Dr. Jie Bao
Teaching Assistant, School of Computer Science and Technology, Xidian University 2017.9 - 2017.11
Research Intern, Urban Computing Group, Microsoft Research Asia 2016.7 - 2017.8
Mentor: Dr. Jie Bao
Honors and Awards
[2023] Science and Technology Progress Award, Chinese Institue of Command and Control, 1st Place
[2022] ACM SIGSPATIAL China Doctoral Dissertation Award, ACM SIGSPATIAL China, 1st Place
[2022] Outstanding Graduates, Education Department of Shaanxi Province, 1%
[2021] Graduate Presidential Award Candidate, Xidian University, 0.1%
[2021] Best Demo Paper Award, ACM SIGSPATIAL, 1/27
[2021] The 3rd Prize in JD Outstanding Patent, JD Group, 4/436
[2020] State Scholarship Fund, China Scholarship Council
[2020] Outstanding Graduate Student, Xidian University
[2020] National Scholarship, Ministry of Education of P.R.C.
[2020] Student Travel Grants, KDD 2020
[2020] Student Travel Grants, AAAI 2020
[2020] The 2nd Prize in "TanSuo" Cup Patent Compitition, JD Digits, 2/434
[2019] The 2nd Prize in JDD Hackathon, JD Digits, 2/238
[2018] The 4th Prize in Global Optimization Challenge, JD Logistics, 4/46
[2018] Outstanding Intern, JD iCity
[2017] Best Demo Paper Award Runners-up, ACM SIGSPATIAL
[2017] National Scholarship, Ministry of Education of P.R.C.
[2017] Outstanding Graduates, Xidian University
[2016] National Scholarship, Ministry of Education of P.R.C.
承担科研情况
国家重点研发计划，国家中心城市数据管控与知识萃取技术和系统应用，2019-2022，在研，参与
国家自然科学基金委面上项目，面向空间运动对象的位置推荐技术研究，2020-2023，在研，参与
国家自然科学基金委面上项目，基于时空大数据的人群关联性智能分析，2021-2024，在研，参与
国家自然科学基金委-浙江省人民政府联合基金重点项目，城市多源异构数据的关联建模与可视化分析，2017-2020，结题，参与
国家自然科学基金委面上项目，基于大数据的城市级别人流预测和影响评估，2017-2020，结题，参与
近期论文
查看导师新发文章
（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）
A Novel Approach for Company Real Workplace Identification via E-commercial Data (Short Paper) Huimin Ren,?Sijie Ruan*, Ye Yuan, Yanhua Li*, Jie Bao, Tianfu He, Huajun He, Chuishi Meng and Yu Zheng in Proceedings of the 31st ACM International Conference on Advances in Geographical Information Systems (SIGSPATIAL'23), 2023.
A Survey of Urban Geographic Information Inference Driven by Crowdsourced Spatio-Temporal Data (in Chinese) Sijie Ruan, Keqin Xiong, Shuliang Wang, Jing Geng, Jie Bao and Yu Zheng in?Acta Electronica Sinica, 2023.
Urban Geospatial Entity Discovery and Understanding Driven by Crowdsourced Trajectory Data Sijie Ruan in ACM Turing Award Celebration Conference - China (ACM TURC'23), 2023.
SAInf: Stay Area Inference of Vehicles using Surveillance Camera Records Zhipeng Ma, Chuishi Meng, Huimin Ren,?Sijie Ruan, Jie Bao, Xiaoting Wang, Tianrui Li and Yu Zheng in Proceedings of the 29th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'23), 2023.
Traffic Speed Imputation with Spatio-Temporal Attentions and Cycle-Perceptual Training Qianxiong Xu,?Sijie Ruan, Cheng Long, Liang Yu and Chen Zhang in Proceedings of the 31st ACM International Conference on Information and Knowledge Management (CIKM'22), 2022.
Service Time Prediction for Delivery Tasks via Spatial Meta-Learning Sijie Ruan, Cheng Long, Zhipeng Ma, Jie Bao, Tianfu He, Ruiyuan Li, Yiheng Chen, Shengnan Wu and Yu Zheng in Proceedings of the 28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'22), 2022.
Modeling Trajectories with Multi-task Learning (Short Paper) Kaijun Liu,?Sijie Ruan, Qianxiong Xu, Cheng Long, Nan Hu, Nan Xiao, Liang Yu and Sinno Pan in Proceedings of the 23rd IEEE International Conference on Mobile Data Management (MDM'22), 2022.
Discovering Actual Delivery Locations from Mis-Annotated Couriers’ Trajectories Sijie Ruan, Cheng Long, Xiaodu Yang, Tianfu He, Ruiyuan Li, Jie Bao, Yiheng Chen, Shengnan Wu, Jiangtao Cui and Yu Zheng in Proceedings of the 38th IEEE International Conference on Data Engineering (ICDE'22), 2022.
TraSS: Efficient Trajectory Similarity Search Based on Key-Value Data Stores Huajun He, Ruiyuan Li,?Sijie Ruan, Tianfu He, Jie Bao, Tianrui Li and Yu Zheng in Proceedings of the 38th IEEE International Conference on Data Engineering (ICDE'22), 2022.
Distributed Spatio-Temporal k Nearest Neighbors Join Ruiyuan Li, Rubin Wang, Junwen Liu, Zisheng Yu, Huajun He, Tianfu He,?Sijie Ruan, Jie Bao, Chao Chen, Fuqiang Gu, Liang Hong and Yu Zheng in Proceedings of the 29th ACM International Conference on Advances in Geographical Information Systems (SIGSPATIAL'21), 2021.
SALON: A Universal Stay Point-Based Location Analysis Platform (Demo Paper)?Best Demo Paper Award Yue Hu,?Sijie Ruan*, Yuting Ni, Huajun He, Jie Bao*, Ruiyuan Li and Yu Zheng in Proceedings of the 29th ACM International Conference on Advances in Geographical Information Systems (SIGSPATIAL'21), 2021.
ICFinder: A Ubiquitous Approach to Detecting Illegal Hazardous Chemical Facilities with Truck Trajectories (Short Paper) Zheng Zhu, Huimin Ren,?Sijie Ruan, Boyang Han, Jie Bao, Ruiyuan Li, Yanhua Li and Yu Zheng in Proceedings of the 29th ACM International Conference on Advances in Geographical Information Systems (SIGSPATIAL'21), 2021.
POI Alias Discovery in E-commerce Delivery Address Data using User Check-ins (Short Paper) Tianfu He, Guochun Chen, Chuishi Meng, Huajun He, Zheyi Pan, Yexin Li,?Sijie Ruan, Huimin Ren, Ye Yuan, Ruiyuan Li, Junbo Zhang, Jie Bao, Hui He and Yu Zheng in Proceedings of the 29th ACM International Conference on Advances in Geographical Information Systems (SIGSPATIAL'21), 2021.
Filling Delivery Time Automatically Based on Couriers' Trajectories Sijie Ruan, Xi Fu, Cheng Long, Zi Xiong, Jie Bao, Ruiyuan Li, Yiheng Chen, Shengnan Wu and Yu Zheng in IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021.
TLDS: A Transfer-Learning-Based Delivery Station Location Selection Pipeline Chenyu Hou, Bin Cao,?Sijie Ruan?and Jing Fan in ACM Transactions on Intelligent Systems and Technology (TIST), 2021.
MTrajRec: Map-Constrained Trajectory Recovery via Seq2Seq Multi-task Learning Huimin Ren,?Sijie Ruan, Yanhua Li, Jie Bao, Chuishi Meng, Ruiyuan Li and Yu Zheng in Proceedings of the 27th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'21), 2021.
TrajMesa: A Distributed NoSQL-Based Trajectory Data Management System Ruiyuan Li, Huajun He, Rubin Wang,?Sijie Ruan, Tianfu He, Jie Bao, Junbo Zhang, Liang Hong and Yu Zheng in IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021.
You Are How You Use: Catching Gas Theft Suspects among Diverse Restaurant Users Xiaodu Yang, Xiuwen Yi, Shun Chen,?Sijie Ruan, Junbo Zhang, Yu Zheng and Tianrui Li in Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM'20), 2020.
Fine-Grained Urban Flow Inference Kun Ouyang, Yuxuan Liang, Ye Liu, Zekun Tong,?Sijie Ruan, Yu Zheng and David S. Rosenblum in IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020.
Doing in One Go: Delivery Time Inference Based on Couriers' Trajectories Sijie Ruan, Zi Xiong, Cheng Long, Yiheng Chen, Jie Bao, Tianfu He, Ruiyuan Li, Shengnan Wu, Zhongyuan Jiang and Yu Zheng in Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'20), 2020.
Discovering Real-time Reachable Area using Trajectory Connections Ruiyuan Li, Jie Bao, Huajun He,?Sijie Ruan, Tianfu He, Liang Hong, Zhongyuan Jiang and Yu Zheng in Proceedings of the 25th International Conference on Database Systems for Advanced Applications (DASFAA'20), 2020.
Dynamic Public Resource Allocation based on Human Mobility Prediction?[Code&Data] Sijie Ruan, Jie Bao, Yuxuan Liang, Ruiyuan Li, Tianfu He, Chuishi Meng, Yanhua Li, Yingcai Wu and Yu Zheng in Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/UbiComp'20), 2020.
What is the Human Mobility in a New City? Transfer Mobility Knowledge Across Cities Tianfu He, Jie Bao, Ruiyuan Li,?Sijie Ruan, Yanhua Li, Li Song, Hui He and Yu Zheng in Proceedings of the Web Conference 2020 (WWW'20), 2020.
JUST: JD Urban Spatio-Temporal Data Engine Ruiyuan Li, Huajun He, Rubin Wang, Yuchuan Huang, Junwen Liu,?Sijie Ruan, Tianfu He, Jie Bao and Yu Zheng in Proceedings of the 36th IEEE International Conference on Data Engineering (ICDE'20), 2020.
TrajMesa: A Distributed NoSQL Storage Engine for Big Trajectory Data (Short Paper) Ruiyuan Li, Huajun He, Rubin Wang,?Sijie Ruan, Yuan Sui, Jie Bao and Yu Zheng in Proceedings of the 36th IEEE International Conference on Data Engineering (ICDE'20), 2020.
Learning to Generate Maps from Trajectories Sijie Ruan, Cheng Long, Jie Bao, Chunyang Li, Zisheng Yu, Ruiyuan Li, Yuxuan Liang, Tianfu He and Yu Zheng in Proceedings of the 34th AAAI Conference (AAAI'20), 2020.
Effective Recycling Planning for Dockless Sharing Bikes Cong Zhang, Yanhua Li, Jie Bao,?Sijie Ruan, Tianfu He, Hui Lu, Zhihong Tian, Cong Liu, Chao Tian, Jianfeng Lin and Xianen Li in Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL'19), 2019.
UrbanFM: Inferring Fine-Grained Urban Flows?[Code] Yuxuan Liang, Kun Ouyang, Lin Jing,?Sijie Ruan, Ye Liu, Junbo Zhang and Yu Zheng in Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'19), 2019.
Interactive Bike Lane Planning using Sharing Bikes' Trajectories Tianfu He, Jie Bao,?Sijie Ruan, Ruiyuan Li, Yanhua Li, Hui He and Yu Zheng in IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019.
Efficient Path Query Processing over Massive Trajectories on the Cloud Ruiyuan Li,?Sijie Ruan, Jie Bao, Yanhua Li, Yingcai Wu, Liang Hong and Yu Zheng in IEEE Transactions on Big Data (TBD), 2018.
Detecting Illegal Vehicle Parking Events using Sharing Bikes' Trajectories Tianfu He, Jie Bao, Ruiyuan Li,?Sijie Ruan, Yanhua Li, Chao Tian and Yu Zheng in Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'18), 2018.
CloudTP: A Cloud-based Flexible Trajectory Preprocessing Framework (Demo Paper) Sijie Ruan, Ruiyuan Li, Jie Bao, Tianfu He and Yu Zheng in Proceedings of the 34th IEEE International Conference on Data Engineering (ICDE'18), 2018.
Querying Massive Trajectories by Path on the Cloud (Short Paper) Ruiyuan Li,?Sijie Ruan, Jie Bao, Yanhua Li, Yingcai Wu and Yu Zheng in Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL'17), 2017.
A Cloud-Based Trajectory Data Management System (Demo Paper)?Best Demo Paper Award Runners-up Ruiyuan Li,?Sijie Ruan, Jie Bao, Yu Zheng in Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL'17), 2017.
Planning Bike Lanes based on Sharing-Bikes' Trajectories Jie Bao, Tianfu He,?Sijie Ruan, Yanhua Li and Yu Zheng in Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'17), 2017.
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