Foreign Member of the Chinese Academy of Sciences,2019.

Fellow of the Royal Society, 2018.

Member of the Academia Europaea , 2017.

Fellow of the ACM , 2012.

Wenfei Fan is a Foreign Member of the Chinese Academy of Sciences, a Fellow of the Royal Society (FRS), a Member of the Academia Europaea (MAE), a Fellow of the Royal Society of Edinburgh (FRSE), and a Fellow of the ACM. He is the second FRS from mainland China and is the only Chinese among more than 30 fellows in the field of computer science. He is also one of the two scholars who have collected major awards from all four leading international database theory and systems conferences (SIGMOD/PODS, VLDB, ICDE) in the history of database research, with more than one award from PODS, VLDB and ICDE. He is the recipient of 18 international awards, including the Roger Needham Award 2008 and the Royal Society Wolfson Fellowship 2018.

Academician Fan has made fundamental contributions to both foundations and practice of database management (cf. Royal Society). He is recognized for opening up the field of constraints for semi-structured data, reshaping the field of data quality, and initiating the formal approach to scalable querying of big data.

His proposed theory of bounded evaluation has helped companies of limited resources overcome limitations of conventional database systems and build capacity for big data analysis.He led the design and development of GRAPE, a parallel graph query engine, which advocates a parallel model based on a simultaneous fixed-point computation in terms of partial and incremental evaluation, for parallelizing sequential graph computations. The GRAPE-based product GraphScope in collaboration with Alibaba has now become a popular open-source system on Github. At SICS, he is leading the development of three systems, namely YanshanDB, Rock and FishingTown, for big data analytics, data cleaning and association analyses, targeting the volume, variety, velocity, veracity and value of big data.

• Parallelizing Sequential Graph Computations

ACM Transactions on Database Systems (TODS 2018)

WenfeiFan, JingboXu, WenyuanYu, JingrenZhou, XiaojianLuo, PingLu, QiangYin, YangCao, RuiqiXu

• Dependencies for Graphs

ACM Transactions on Database Systems (TODS 2019)

WenfeiFan, PingLu

• Deducing Certain Fixes to Graphs

International Conference on Very Large Data Bases (VLDB 2019),Aug 26-30, 2019, Los Angeles, USA

WenfeiFan, PingLu, ChaoTian, JingrenZhou

• Dynamic Scaling for Parallel Graph Computations

International Conference on Very Large Data Bases (VLDB 2019),Aug 26-30, 2019, Los Angeles, USA

WenfeiFan, ChunmingHu, MuyangLiu, PingLu, QiangYin, JingrenZhou

• Block as a Value for SQL over NoSQL

International Conference on Very Large Data Bases (VLDB 2019),Aug 26-30, 2019, Los Angeles, USA

YangCao, WenfeiFan, andTengfeiYuan

• Dependencies for Graphs: Challenges and Opportunities

ACM Journal of Data and Information Quality（JDIQ）

WenfeiFan

• Making Big Data Small

Royal Society A: Mathematical, physical and engineering sciences

WenfeiFan

• Extending Graph Patterns with Conditions

GraceFan, WenfeiFan, YuanhaoLi, PingLu, ChaoTian, JingrenZhou

ACM Conference on Management of Data（SIGMOD 2020）, June 14-19, 2020, Portland Oregon, USA

• Application Driven Graph Partitioning

ACM Conference on Management of Data（SIGMOD 2020）, June 14-19, 2020, Portland Oregon, USA

WenfeiFan, RuochunJin, MuyangLiu, PingLu, XiaojianLuo, RuiqiXu, QiangYin, WenyuanYu, andJingrenZhou

• Incrementalization of Graph Partitioning Algorithms

International Conference on Very Large Data Bases (VLDB 2020), Aug 31- Sept 4, 2020, Tokyo, Japan

WenfeiFan, MuyangLiu, ChaoTian, RuiqiXu, andJingrenZhou

• Catching Numeric Inconsistencies in Graphs

ACM Transactions on Database Systems (TODS 2020)

WenfeiFan, XueliLiu, PingLu, andChaoTian

• Querying Shared Data with Security Heterogeneity

ACM Conference on Management of Data（SIGMOD 2020）, June 14-19, 2020, Portland Oregon, USA

YangCao, WenfeiFan, YanghaoWang, andKeYi

• Adaptive Asynchronous Parallelization of Graph Algorithms

ACM Transactions on Database Systems (TODS 2020)

WenfeiFan, PingLu, JingboXu, WenyuanYu, QiangYin, XiaojianLuo, JingrenZhou, andRuochunJin

• Discovering Graph Functional Dependencies

ACM Transactions on Database Systems (TODS 2020)

WenfeiFan, ChunmingHu, XueliLiu, andPingLu

• Unifying Logic Rules and Machine Learning for Entity Enhancing

SCIENCE CHINA Information Sciences (SCIS 2020)

WenfeiFan, PingLu, andChaoTian

• Bounded Evaluation: Querying Big Data with Bounded Resources

International Journal of Automation and Computing (IJAC)

YangCao, WenfeiFan, TengfeiYuan

• Graph Algorithms: Parallelization and Scalability

SCIENCE CHINA Information Sciences (SCIS 2020)

WenfeiFan, KunHe, QianLi, andYueWang

• Capturing Associations in Graphs

International Conference on Very Large Data Bases (VLDB 2020), Aug 31- Sept 4, 2020, Tokyo, Japan

WenfeiFan, RuochunJin, MuyangLiu, PingLu, ChaoTian, JingrenZhou

• Making Graphs Compact by Lossless Contraction

ACM Conference on Management of Data（SIGMOD 2021）,June 20-25,2021,Xi’an, Shaanxi, China

WenFeiFan, YuanHaoLi, MuYangLiu, CanLu

• Incrementalizing Graph Algorithms

ACM Conference on Management of Data（SIGMOD 2021）,June 20-25,2021,Xi’an, Shaanxi, China

WenfeiFan, ChaoTian, RuiqiXu, QiangYin, WenyuanYu, JingrenZhou

• Parallel Discrepancy Detection and Incremental Detection

International Conference on Very Large Data Bases (VLDB 2021), Aug 16- 20, 2021, Copenhagen, Denmark

Wenfei Fan, Chao Tian, Yanghao Wang, Qiang Yin

• Graph Algorithms with Partition Transparency

IEEE Transactions on Knowledge and Data Engineering（TKDE 2021）

Wenfei Fan, Muyang Liu, Ping Lu, and Qiang Yin

• GraphScope: A unified engine for big graph processing

International Conference on Very Large Data Bases (VLDB 2021)

Wenfei Fan,Longbin Lai,Xueli，Yong Li,Zhao Li,Zhengping Qian,Chao Tian,Lei Wang,Jingbo Xu,Youyang Yao,Qiang Yin,Wenyuan Yu,Kai Zeng,Kun Zhao,Jingren Zhou,Diwen Zhu,and Rongzhu

• GraphScope: A One-Stop Large Graph Processing System

International Conference on Very Large Data Bases (VLDB 2021)

Zhanning Bai, Wenfei Fan, Longbin Lai, Xue Li, Zhao Li, Zhengping Qian, Lei Wang, Yanyan Wang, Jingbo Xu, Wenyuan Yu, Kai Zeng, Jingren Zhou