Dr. Jingbo Xu

I am a staff engineer at Institute for Intelligent Computing, Alibaba. I have been working at Alibaba since 2018. My experience at Alibaba included a joint postdoctoral research position with Alibaba and Peking University from 2019 to 2021, under the guidance of Dr. Jingren Zhou and Prof. Wenxin Li. Before joining Alibaba, I co-founded 7Bridges Ltd., a graph computing startup that was acquired by Alibaba in 2018. Prior to that, I obtained my PhD from the University of Edinburgh in 2017, supervised by Prof. Wenfei Fan, and received a master's degree from Beihang University in 2013. My expertise lies in graph computing, data processing, and distributed systems. Currently, I am focusing on the open-source project GraphScope, a comprehensive system for large-scale graph computing.

Publications [Google Scholar] [dblp]

Papers

GraphScope Flex: LEGO-like Graph Computing Stack [ PDF | BibTex ]
ACM SIGMOD Conference on Management of Data (SIGMOD), industry, 2024.
Tao He, Shuxian Hu, Longbin Lai, Dongze Li, Neng Li, Xue Li, Lexiao Liu, Xiaojian Luo, Binqing Lyu, Ke Meng, Sijie Shen, Li Su, Lei Wang, Jingbo Xu, Wenyuan Yu, Weibin Zeng, Lei Zhang, Siyuan Zhang, Jingren Zhou, Xiaoli Zhou, Diwen Zhu
Unicron: Economizing Self-Healing LLM Training at Scale [ arxiv ]
arXiv preprint arXiv:2401.00134.
Tao He, Xue Li, Zhibin Wang, Kun Qian, Jingbo Xu, Wenyuan Yu, Jingren Zhou
Enhancing Data Lakes with GraphAr: Efficient Graph Data Management with a Specialized Storage Scheme [ arxiv ]
arXiv preprint arXiv:2312.09577.
Xue Li, Weibin Zeng, Zhibin Wang, Diwen Zhu, Jingbo Xu, Wenyuan Yu, Jingren Zhou
Dynamic Graph Sampling Service for Real-time GNN Inference at Scale [ PDF | Poster ]
The 18th ACM SIGOPS EuroSys, extended abstract, 2023. Best Poster Award.
Jie Sun, Li Su, Wenting Shen, Zichao Zhang, Zuocheng Shi, Jingbo Xu, Yong Li, Wenyuan Yu, Zeke Wang, Fei Wu, Jingren Zhou.
GraphScope Flex: A Graph Computing Stack with LEGO-Like Modularity [ PDF | Poster ]
The 18th ACM SIGOPS EuroSys, extended abstract, 2023.
Ye Cao, Tao He, Shuxian Hu, Longbin Lai, Dongze Li, Neng Li, Xue Li, Xiaojian Luo, Bingqing Lyu, Ke Meng, Li Su, Qian Tao, Lei Wang, Jingbo Xu, Wenyuan Yu, Weibin Zeng, Lei Zhang, Siyuan Zhang, Zichao Zhang, Jingren Zhou, Xiaoli Zhou, Diwen Zhu.
GraphScope: A One-Stop Large Graph Processing System [ PDF | BibTex ]
The 47th International Conference on Very Large Data Bases (VLDB), demo, 2021.
Jingbo Xu, Zhanning Bai, Wenfei Fan, Longbin Lai, Xue Li, Zhao Li, Zhengping Qian, Lei Wang, Yanyan Wang, Wenyuan Yu, Jingren Zhou.
GraphScope: A Unified Engine for Big Graph Processing [ PDF | BibTex ]
The 47th International Conference on Very Large Data Bases (VLDB), industry, 2021.
Wenfei Fan, Tao He, Longbin Lai, Xue Li, Yong Li, Zhao Li, Zhengping Qian, Chao Tian, Lei Wang, Jingbo Xu, Youyang Yao, Qiang Yin, Wenyuan Yu, Jingren Zhou, Diwen Zhu, Rong Zhu.
Adaptive Asynchronous Parallelization of Graph Algorithms [ PDF | BibTex ]
ACM Transactions on Database Systems (TODS) 45(2): 6:1-6:45 (invited), 2020.
Wenfei Fan, Ping Lu, Wenyuan Yu, Jingbo Xu, Qiang Yin, Xiaojian Luo, Jingren Zhou, and Ruochun Jin.
Adaptive Asynchronous Parallelization of Graph Algorithms [ PDF | BibTex | Poster ]
ACM SIGMOD Conference on Management of Data (SIGMOD), 2018.
Wenfei Fan, Ping Lu, Xiaojian Lou, Jingbo Xu, Qiang Yin, Wenyuan Yu, and Ruiqi Xu
Parallelizing Sequential Graph Computations [ PDF | BibTex ]
ACM Transactions on Database Systems (TODS) 43(4): 18:1-18:39 (invited).
Wenfei Fan, Wenyuan Yu, Jingbo Xu, Jingren Zhou, Xiaojian Luo, Ping Lu, Qiang Yin, Yang Cao, and Ruiqi Xu
From Think Parallel to Think Sequential [ PDF | BibTex ]
SIGMOD Record 47(1): 15-22, 2018. SIGMOD 2017 Research Highlight Award.
Wenfei Fan, Yang Cao, Jingbo Xu , Wenyuan Yu, Yinghui Wu, Chao Tian, Jiaxin Jiang, and Bohan Zhang
GRAPE: Conducting Parallel Graph Computations without Developing Parallel Algorithms [PDF|BibTex]
IEEE Data Engineering Bulletin. 40(3): 30-41, 2017. (Invited)
Wenfei Fan, Jingbo Xu, Xiaojian Luo, Yinghui Wu, Wenyuan Yu, and Ruiqi Xu
GRAPE: Parallelizing Sequential Graph Computations [ PDF | BibTex ]
The 43rd International Conference on Very Large Data Bases (VLDB), demo, 2017. Best Demo Award.
Wenfei Fan, Jingbo Xu , Yinghui Wu, Wenyuan Yu, Jiaxin Jiang
Parallelizing Sequential Graph Computations [ PDF | BibTex | Poster ]
ACM SIGMOD Conference on Management of Data (SIGMOD), 2017. Best Paper Award.
Wenfei Fan, Jingbo Xu, Yinghui Wu, Wenyuan Yu, Jiaxin Jiang, Zeyu Zheng, Bohan Zhang, Yang Cao, Chao Tian.
Functional Dependencies for Graphs [ PDF | BibTex | Poster ]
ACM SIGMOD Conference on Management of Data (SIGMOD), 2016.
Wenfei Fan, Yinghui Wu, Jingbo Xu
Adding Counting Quantifiers to Graph Patterns [ PDF | BibTex | Poster ]
ACM SIGMOD Conference on Management of Data (SIGMOD), 2016.
Wenfei Fan, Yinghui Wu, Jingbo Xu
Association Rules with Graph Patterns [ PDF | BibTex ]
The 41st International Conference on Very Large Data Bases (VLDB), 2015.
Wenfei Fan, Xin Wang, Yinghui Wu, Jingbo Xu
Optimizing Pipe-like Mashup Execution for Improving Resource Utilization [ PDF | BibTex ]
The 5th IEEE International Conference on Service-Oriented Computing and Applications (SOCA), 2012.
Jingbo Xu, Hailong Sun, Xu Wang, Xudong Liu, Richong Zhang

Thesis

GRAPE: Parallel Graph Query Engine [ PDF ]
A Dissertation for PhD, the University of Edinburgh, 2017.
Supervised by Prof. Wenfei Fan
Research and Implementation of High Performance Mashup Runtime Engine [ PDF ]
A Dissertation for the Degree of Master, Beihang University, 2012.
Supervised by Prof. Xudong Liu

Experiences

2018.11 ~ Current, Alibaba Group, Beijing.

R&D on large-scale graph processing. Recently, I am working on the project GraphScope.
GraphScope is a unified distributed graph computing platform that provides a one-stop environment for performing diverse graph operations on a cluster of computers through a user-friendly Python interface. It makes multi-staged processing of large-scale graph data simple. The analytical engine of GraphScope is derived from GRAPE. GraphScope is open sourced on Dec. 2020 at github. Welcome to join forces with us to build the next generation graph system!

2019.3 ~ 2021.3, Peking University, Beijing.

Worked as a postdoctoral researcher of Peking University (jointly with Alibaba).
Researched on the theories, systems, and applications of graph processing in big data.

2011.9 ~ 2013.8, Tencent Research & WeChat(Intern), Beijing.

developed an iOS app named QQVision, a Google Lens like app, to recognize texts and objects in photos. Its feature was integrated to Scan（扫一扫）in WeChat app.
developed the PoC for featured Shake（摇一摇）in WeChat, to recognize TV and music. The feature was deployed in the 2015 CCTV Spring Festival Gala for audience interaction and achieved a remarkable success.

Selected Honors

2023, ACM SIGOPS EuroSys'2023 Best Poster Award
2017, ACM SIGMOD Research Highlight Award
2017, ACM SIGMOD'2017 Best Paper Award
2017, VLDB Endowment VLDB'2017 Best Demo Award
2014, China Scholarship Council(CSC) Scholarship
2013, China National Scholarship for Graduate, First Prize
2012, Beihang University, School Graduation Thesis Award
2011, Beihang University Student Scholarship, First Prize
2010, Beihang University Student Scholarship, Second Prize
2009, Zhejiang Province Collegiate Advanced Mathematics Contest, First Prize
2009, Alibaba Inc. Scholarship in Zhejiang University of Technology

Others

My hobbies are photography and travelling. Welcome to visit my gallery.

Jingbo Xu | 徐静波