Ruiyuan Li (李瑞远)
Name: Ruiyuan Li (李瑞远)
Affiliation: College of Computer Science, Chongqing University
Title: Associate Professor
Email: ruiyuan.li at cqu.edu.cn
Address: Information Technology Research Building, Huxi Cumpus, Chongqing University, China
Research Interests: Database, AI4DB, Big Data, Spatio-Temporal Data Management and Mining, Distributed Computing, Urban Computing
Teaching: Database Systems (Stand-out Class), Foundation of Programming
[中文版] [Google Scholar] [DBLP] [Homepage in Chongqing University]
Dr. Ruiyuan Li is an associate professor with the College of Computer Science, Chongqing University, China. He was selected as the most polular teacher among students. He was the Head of Spatio-Temporal Data Group in JD Intelligent Cities Research, leading the research and development of JUST (JD Urban Spatio-Temporal data engine). Before joining JD, he had interned in Microsoft Research Asia from 2014 to 2017. He received the B.E. and M.S. degrees from Wuhan University, China in 2013 and 2016, respectively, and the Ph.D. degree from Xidian University, China in 2020, under the supervisor of IEEE Fellow and ACM Distinguished Scientist Yu Zheng. His research focuses on Spatio-temporal Data Management and Mining, Distributed Computing, and Urban Computing. He has published more than 40 refereed papers (including 20+ CCF A papers) that contribute to 2700+ Google Scholar Citations, and applied for over 40 Chinese patents. One of his patents got the China Patent Excellence Award. He received the Excellent Doctoral Dissertation Award of Shaanxi Computer Society in 2020 and Excellent Doctoral Dissertatioin Award of Chinese Institute of Electronics in 2022. He won the third prize in CCF Natural Science because of his contribution to spatio-temporal data management and mining. He is a senior member of CCF (China Computer Federation), Outstanding Technical Committee on Databases of CCF, and Technical Committee on Pervasive Computing of CCF. He is a reviewer of several top-level conferences and journals. JUST system, which he was responsible for, has been successfully deployed in many national projects of China.
The greatest advantage of Dr. Ruiyuan Li is that he enjoys the experiences in both of top universities and big enterprises. Whether you are interested in academic research or preparing to work in industry, you can feel free to contact him.
There are annually 3~5 postgraduate places opening for dedicated, diligent, down-to-earth and self-motivated students majoring in computer science, GIS or other related majors!
Education Experience
2016.09 - 2020.08 Ph.D. Computer Science and Technology Xidian University, China
2013.09 - 2016.06 Master Computer Software and Theory Wuhan University, China
2009.09 - 2013.06 Bachelor Computer Science and Technology Wuhan University, China
Work Experience
2021.10 - Now Associate Professor Chongqing University, China
2018.01 - 2021.10 Researcher/Head of Spatio-Temporal Data Group JD Intelligent Cities Research, China
2014.07 - 2018.01 Research Intern Microsoft Research Asia
Recent News
2024.11.07: Our survey paper about compression of time series was accepted by Journal of Software (CCF A)!
2024.09.28: I won the third prize in CCF Natural Science
2024.09.19: I am promoted to a CCF Senior Member
2024.09.15: One paper about spatio-temporal data management is accept by Data Science and Engineering.
2024.07.24: One paper about AI4DB is accepted by IEEE Transactions on Big Data!
2023.12.01: One co-authored paper is accepted by ICDE 2024!
2023.09.28: One co-authored paper is accepted by TIST!
2023.08.05: One co-authored paper is accepted by CIKM 2023!
2023.07.25: Congratulations to Zechao Chen who is awarded as an outstanding student in DBS!
2023.02.28: My doctoral dissertation is honored with Excellent Doctoral Dissertation Award by Chinese Institute of Electronics!
2023.01.16: Our paper about floating-point compression is accepted by VLDB 2023!
2022.12.17: Our paper about traffic forecasting is accepted by TKDE!
2022.11.18: Our proposal is funded by China Postdoctoral Science Foundation!
2022.11.02: Our paper is accepted by TITS!
2022.09.08: Our proposal is funded by NSFC Youth Program (No. 62202070)!
Students Supervised
Masters
2024: Ruyun Lu, Xiaolong Xu, Tianyu Huang, Sainan Su
2023: Jiajun Li, Minghui Zhu
2022: Zheng Li, Xiang He, Yangyang Sun
Undergraduates
2023: Chengcong Hong, Qihao Shen, Yuheng Wu, Yutao Bai, Ruyi Yuan, Wenwan Duan, Ran Mo
2022: You Shang, Yi Xu, Yansheng Gao, Mingxing Liu, Weiyan Wang
2021: Yongxin Tang, Zechao Chen, Zijian Zhang, Shuxiang Gou
2020 (graduated): Yi Wu (UIUC), Wenhui Li (Harbin Institute of Technology), Yingying Sun (Sun Yat-Sen University)
Selected Published Papers (*Corresponding Author)
2024
Minghui Zhu, Zheng Li, Ruiyuan Li*, Chao Chen, Yu Zheng. Survey of Floating-point Time Series Compression. Ruan Jian Xue Bao/Journal of Software. (朱明辉，李政，李瑞远*，陈超，郑宇. 浮点时序数据压缩综述. 软件学报) (CCF A)
Ruiyuan Li, Xiang He, Yingying Sun, Jun Jiang, You Shang, Guanyao Li, Chao Chen. Spatio-Temporal Keyword Query Processing Based on Key-Value Stores. Data Science and Engineering. 2024. (CCF C)
Hang Wu, Bo Wang, Ming Zhang, Guanyao Li, Ruiyuan Li, Yang Liu. CUPID: An efficient spatio-temporal data engine. Future Generation Computer Systems, 2024, 161: 531-544.
Ruiyuan Li, Jiajun Li, Minxin Zhou, Rubin Wang, Huajun He, Chao Chen, Jie Bao, Yu Zheng. Learning-Based Distributed Spatio-Temporal k Nearest Neighbors Join. IEEE Transactions on Big Data. (TBD, CCF C)
Yangyang Sun, Fei Meng, Ruiyuan Li*, Yongxin Tang, Chao Chen, Jiang Zhong. Streaming Trajectory Segmentation Based on Stay-Point Detection (Short Paper). in 29th International Conference on Database Systems for Advanced Applications. (DASFAA 2024, CCF B)
Fuqiang Gu, Jiarui Dou, Mingyan Li, Xianlei Long, Songtao Guo, Chao Chen, Kai Liu, Xianlong Jiao, Ruiyuan Li. EventAugment: Learning Augmentation Policies from Asynchronous Event-based Data. IEEE Transactions on Cognitive and Developmental Systems.
Huajun He, Zihang Xu, Ruiyuan Li, Jie Bao, Tianrui Li, Yu Zheng. TMan: A High-Performance Trajectory Data Management System Based on Key-value Stores[C]//2024 IEEE 40th International Conference on Data Engineering (ICDE). IEEE, 2024. (ICDE 2024, CCF A)
2023
JIANG Jun, LI Wen-hui, ZAHNG Liang, WANG Shan-min, LI Rui-yuan*. ShadowDB: A SQL engine based traffic-split system for full-link stress test[J]. Computer Engineering & Science, 2023, 45(12): 2165-2174 (In Chinese). (姜俊, 李文慧, 张亮, 王善民, 李瑞远*. ShadowDB：基于SQL引擎的全链路压力测试分流系统[J]. 计算机工程与科学, 2023, 45(12): 2165-2174) (CCF B)
Jie Zhao, Chao Chen, Wanyi Zhang, Ruiyuan Li, Fuqiang Gu, Songtao Guo, Jun Luo, Yu Zheng. Coupling Makes Better: An Intertwined Newral Network for Taxi and Ridesourcing Demand Co-Prediction. IEEE Transactions on Intelligent Transportation Systems. (TITS, CCF B)
Jie Chen, Tong Liu, Ruiyuan Li. Region Profile Enhanced Urban Spatio-Temporal Prediction via Adaptive Meta Learning. In 32th ACM International Conference on Information and Knowledge Management. (CIKM 2023, CCF B)
Ruiyuan Li, Zheng Li, Yi Wu, Chao Chen, Yu Zheng. Elf: Erasing-based Lossless Floating-Point Compression[C]//in The 49th International Conference on Very Large Data Bases, PVLDB, 16(7): 1763 - 1776, 2023. (Code)(Poster)(Slides) (VLDB 2023, CCF A)
2022
Guanyao Li, Shuhan Zhong, Xingdong Deng, Letian Xiang, S.-H. Gary Chan, Ruiyuan Li, Yang Liu, Ming Zhang, Chih-Chieh Hung, Wen-Chih Peng. A Lightweight and Accurate Spatial-Temporal Transformer for Traffic Forecasting. IEEE Transactions on Knowledge and Data Engineering. (TKDE, CCF A)
Chao Chen, Lujia Li, Mingyan Li, Ruiyuan Li, Zhu Wang, Fei Wu, Chaocan Xiang. cuRL: A Generic Framework for Bi-Criteria Optimum Path-Finding Based on Deep Reinforcement Learning. IEEE Transactions on Intelligent Transportation Systems. (TITS, CCF B)
Fuqiang Gu, Yong Lee, Yuan Zhuang, You Li, Jingbin Liu, Fagnwen Yu, Xuke Hu, Ruiyuan Li, Chao Chen. MDOE: A Novel Event Representation By Considering the Magnitude and Density of Events. IEEE Robotics and Automation Letters. (RA-L)
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[C]//Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery & Data Mining. 2022 (ACM KDD 2022, CCF A)
Ruiyuan Li, Liang Zhang, Juan Pan, Junwen Liu, Peng Wang, Nianjun Sun, Shanmin Wang, Chao Chen, Fuqiang Gu, Songtao Guo. Apache ShardingSphere: A Holistic and Pluggable Platform for Data Sharding[C]//2022 IEEE 38th International Conference on Data Engineering (ICDE). IEEE, 2022. (ICDE 2022, CCF A) [Slides_Ch][Slides_En][Video_Ch]
Huajun He, Ruiyuan Li, Sijie Ruan, Tianfu He, Jie Bao, Tianrui Li, Yu Zheng. TraSS: Efficient Trajectory Similarity Search Based on Key-Value DataStores[C]//2022 IEEE 38th International Conference on Data Engineering (ICDE). IEEE, 2022. (ICDE 2022, CCF A)
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[C]//2022 IEEE 38th International Conference on Data Engineering (ICDE). IEEE, 2022. (ICDE 2022, CCF A)
Li Ruiyuan, Zhu Haowen, Wang Rubin, Chen Chao, Zheng Yu. Fast and Distributed Map-Matching Based on Contraction Hierarchies[J]. Journal of Computer Research and Development, 2022, 59(2): 342-361 (in Chinese). (李瑞远，朱浩文，王如斌，陈超，郑宇. 基于路网层次收缩的快速分布式地图匹配算法[J]. 计算机研究与发展, 2022, 59(2): 342-361) (CCF A) (EI: 20220711630582)
Yu Zisheng, Li Ruiyuan*, Guo Yang, Jiang Zhongyuan, Bao Jie, Zheng Yu. Distributed Time Series Similarity Search Method Based on Key-value Data Stores. Ruan Jian Xue Bao/Journal of Software, 2022, 33(3): 950-967 (in Chinese). (俞自生, 李瑞远*, 郭阳, 蒋忠元, 鲍捷, 郑宇. 基于键值存储的分布式时序相似性搜索方法. 软件学报, 2022, 33(3): 950-967) (CCF A, NDBC 2021萨师煊优秀学生论文奖)
WANG Ru-bin, LI Rui-yuan*, HE Hua-jun, LIU Tong, LI Tian-rui. Distributed Distance Join Algorithm for Massive Spatial Data[J]. Computer Science, 2022, 49(1): 95-100 (in Chinese). (王如斌, 李瑞远*, 何华均, 刘通, 李天瑞. 面向海量空间数据的分布式距离连接算法[J]. 计算机科学, 2022, 49(1): 95-100) (CCF B)
2021
Yuan Sui, Ruiyuan Li*, Xu Wang, Jun Liu, Juncheng Tang. JUST-Studio: A Platform for Spatio-Temporal Data Map Designing and Application Building[C]//International Conference on Web Information Systems Engineering. Springer, Cham, 2021: 536-546. (Demo Paper, WISE 2021, CCF C) (System)
Ruiyuan Li, Rubin Wang, Junwen Liu, Zisheng Yu, Huajun He, Tianfu He, Sijie Ruan, Jie Bao, Chao Chen, Fuqiang Gu, Liang Hong, Yu Zheng. Distributed Spatio-Temporal k Nearest Neighbors Join[C]//Proceedings of the 29th International Conference on Advances in Geographic Information Systems. 2021: 435-445. (ACM SIGSPATIAL 2021) (System) (Slides) (Video) (EI: 20214711186153)
Huajun He, Ruiyuan Li*, Jie Bao, Tianrui Li, Yu Zheng. JUST-Traj: A Distributed and Holistic Trajectory Data Management System[C]//Proceedings of the 29th International Conference on Advances in Geographic Information Systems. 2021: 403-406. (Demo Paper, ACM SIGSPATIAL 2021) (System) (EI: 20214711186146)
Yue Hu, Sijie Ruan, Yuting Ni, Huajun He, Jie Bao, Ruiyuan Li and Yu Zheng. SALON: A Universal Stay Point-Based Location Analysis Platform[C]//Proceedings of the 29th International Conference on Advances in Geographic Information Systems. 2021: 407-410. (Demo paper, ACM SIGSPATIAL 2021, Best Demo Award!) (System) (EI: 20214711186147)
Zheng Zhu, Huimin Ren, Sijie Ruan, Boyang Han, Jie Bao, Ruiyuan Li, Yanhua Li and Yu Zheng. ICFinder: A Ubiquitous Approach to Detecting Illegal Hazardous Chemical Facilities with Truck Trajectories[C]//Proceedings of the 29th International Conference on Advances in Geographic Information Systems. 2021: 37-40. (Short Paper, ACM SIGSPATIAL 2021) (EI: 20214711186096)
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. POI Alias Discovery in E-commerce Delivery Address Data using User Check-ins (Short Paper). in Proceedings of the 29th ACM International Conference on Advances in Geographical Information Systems (ACM SIGSPATIAL 2021)
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. IEEE Transactions on Knowledge and Data Engineering. (TKDE, CCF A) (EI: 20213210750857)
Huimin Ren, Sijie Ruan, Yanhua Li, Jie Bao, Chuishi Meng, Ruiyuan Li, Yu Zheng. MTrajRec: Map-Constrained Trajectory Recovery via Seq2Seq Multi-task Learning[C]//Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining. 2021: 1410-1419. (KDD 2021, CCF A) (EI: 20213810905467)
Ruiyuan Li, Huajun He, Rubin Wang, Sijie Ruan, Tianfu He, Jie Bao, Junbo Zhang, Liang Hong, Yu Zheng. TrajMesa: A Distributed NoSQL-Based Trajectory Data Management System. IEEE Transactions on Knowledge and Data Engineering. 2021, 35(1): 1013-1027. (TKDE, CCF A) (EI: 20212010370830, SCI: 000895445500072)
2020
Xiuwen Yi, Zhewen Duan, Ruiyuan Li, Junbo Zhang, Tianrui Li, Yu Zheng. Predicting Fine-Grained Air Quality Based on Deep Neural Networks. IEEE Transactions on Big Data. (TBD, CCF C)
Sijie Ruan, Zi Xiong, Cheng Long, Yiheng Chen, Jie Bao, Tianfu He, Ruiyuan Li, Shengnan Wu, Zhongyuan Jiang, and Yu Zheng. Doing in One Go: Delivery Time Inference Based on Couriers' Trajectories.[C]//Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. 2020: 2813-2821. (KDD 2020, CCF A) (EI: 20203709168432)
Ruiyuan Li, Jie Bao, Huajun He, Sijie Ruan, Tianfu He, Liang Hong, Zhongyuan Jiang, Yu Zheng. Discovering Real-time Reachable Area using Trajectory Connections[C]//International Conference on Database Systems for Advanced Applications. Springer, Cham, 2020: 36-53. (DASFAA 2020, CCF B) [System] [Slides] [MP4] (EI: 20204109321019)
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[J]. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2020, 4(1): 1-22. (UbiComp 2020, CCF A) (EI: 20201308359432)
Tianfu He, Jie Bao, Ruiyuan Li, Sijie Ruan, Yanhua Li, Song Li, Hui He, Yu Zheng. What is the Human Mobility in a City? Transfer Mobility Knowledge Across Cities[C]//Proceedings of The Web Conference 2020. 2020: 1355-1365. (WWW 2020, CCF A) (Slides)
Ruiyuan Li, Huajun He, Rubin Wang, Yuchuan Huang, Junwen Liu, Sijie Ruan, Tianfu He, Jie Bao, Yu Zheng. JUST: JD Urban Spatio-Temporal Data Engine[C]//2020 IEEE 36th International Conference on Data Engineering (ICDE). IEEE, 2020: 1558-1569. (ICDE 2020, CCF A) (Slides) (EI: 20202308794054) [System]
Sijie Ruan, Cheng Long, Jie Bao, Chunyang Li, Zisheng Yu, Ruiyuan Li, Yuxuan Liang, Tianfu He, Yu Zheng. Learning to Generate Maps from Trajectories[C]//Proceedings of the AAAI conference on artificial intelligence. 2020, 34(01): 890-897. (AAAI 2020, CCF A) (Slides)
Ruiyuan Li, Huajun He, Rubin Wang, Sijie Ruan, Yuan Sui, Jie Bao, Yu Zheng. TrajMesa: A Distributed NoSQL Storage Engine for Big Trajectory Data[C]//2020 IEEE 36th International Conference on Data Engineering (ICDE). IEEE, 2020: 2002-2005. (Short Paper, ICDE 2020, CCF A) (Slides) (EI: 20202308794025) [System]
2019
Tianfu He, Jie Bao, Sijie Ruan, Ruiyuan Li, Yanhua Li, Hui He, Yu Zheng. Interactive Bike Lane Planning Using Sharing Bikes's Trajectories[J]. IEEE Transactions on Knowledge and Data Engineering, 2019, 32(8): 1529-1542. (TKDE, CCF A) (EI: 20203008963315; SCI: 000546878300007)
Ruiyuan Li, Sijie Ruan, Jie Bao, Yanhua Li, Yingcai Wu, Liang Hong, Yu Zheng. Efficient Path Query Processing over Massive Trajectories on the Cloud[J]. IEEE Transactions on Big Data, 2018, 6(1): 66-79. (TBD, CCF C) (EI: 20183705794374; SCI: 000521994000004)
2018
Tianfu He, Jie Bao, Ruiyuan Li, Sijie Ruan, Yanhua Li, Chao Tian, Yu Zheng. Detecting Vehicle Illegal Parking Events using Sharing Bikes' Trajectories[C]//Proceedings of the 24th ACM SIGKDD international conference on knowledge discovery and data mining. 2018: 340-349. (KDD 2018, CCF A) (EI: 20183405705493)
Junbo Zhang, Yu Zheng, Dekang Qi, Ruiyuan Li, Xiuwen Yi, Tianrui Li. Predicting Citywide Crowd Flows Using Deep Spatio-Temporal Residual Networks[J]. Artificial Intelligence, 2018, 259: 147-166. (CCF A). (EI: 20181504993015; SCI: 000432512700006)
Li Ruiyuan, Hong Liang. Method for subgraph matching with inclusion degree. Ruan Jian Xue Bao/Journal of Software, 2018,29(6):1792-1812 (in Chinese). (李瑞远,洪亮. 基于包含度的子图匹配方法. 软件学报. 2018,29(6):1792-1812.) (CCF A) (EI: 20182805536524)
Sijie Ruan, Ruiyuan Li, Jie Bao, Tianfu He, Yu Zheng. CloudTP: A Cloud-based Flexible Trajectory Preprocessing Framework[C]//2018 IEEE 34th International Conference on Data Engineering (ICDE). IEEE, 2018: 1601-1604. (Demo Paper, ICDE 2018, CCF A). (EI: 20184806149230)
2017
Ruiyuan Li, Sijie Ruan, Jie Bao, Yanhua Li, Yingcai Wu and Yu Zheng. Querying Massive Trajectories by Path on the Cloud[C]//Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. 2017: 1-4. (Short Paper, ACM SIGSPATIAL 2017). [poster] (EI: 20180504684470)
Ruiyuan Li, Sijie Ruan, Jie Bao and Yu Zheng. A Cloud-based Trajectory Data Management System[C]//Proceedings of the 25th ACM SIGSPATIAL international conference on advances in geographic information systems. 2017: 1-4. (Demo Paper, ACM SIGSPATIAL 2017). (Best Demo Award Runners Up!) [poster] (EI: 20180504684489)
LI Rui-yuan, HONG Liang, ZENG Cheng. Cross-category Recommendation Based on Collaborative Filtering in Multi-level Biclusters. Journal of Chinese Computer Systems, 2017, 38(4): 657-663 (in Chinese). (李瑞远,洪亮,曾承. 多层聚簇中基于协同过滤的跨类推荐算法[J]. 小型微型计算机系统, 2017, 38(4): 657-663.)
Before
Jie Bao, Ruiyuan Li, Xiuwen Yi, Yu Zheng. Managing Massive Trajectories on the Cloud[C]//Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. 2016: 1-10. (ACM SIGSPATIAL 2016) (Slides) (EI: 20170503316408)
Junbo Zhang, Yu Zheng, Dekang Qi, Ruiyuan Li, Xiuwen Yi. DNN-Based Prediction Model for Spatial-Temporal Data[C]//Proceedings of the 24th ACM SIGSPATIAL international conference on advances in geographic information systems. 2016: 1-4. (Demo Paper, ACM SIGSPATIAL 2016) [Demo]. An extended version in arxiv: https://arxiv.org/abs/1701.02543, Chinese Version
Yu Zheng, Xiuwen Yi, Ming Li, Ruiyuan Li, Zhangqing Shan, Eric Chang, Tianrui Li. Forecasting Fine-Grained Air Quality Based on Big Data[C]//Proceedings of the 21th ACM SIGKDD international conference on knowledge discovery and data mining. 2015: 2267-2276. (KDD'15, CCF A). (EI: 20160301811492)
Community Service
Associate Managing Editor
Reviewer
TIST; Journal of Software(软件学报); TKDE
Program Committee Member:
ICDE 2023; ICDE 2025;
AAAI 2023;
KDD 2022~2025;
DASFAA2024; DASFAA2023; DASFAA2022; DASFAA 2021；
Operation
Wechat Official Accounts：Start_Lab
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