Kaiyu Feng

Name: Feng Kaiyu
Discipline:
Title: Associate Professor
Contact number:
E-mail:
Address: Personal Information
Feng Kaiyu, Ph.D., Associate Professor, doctoral supervisor, School of Computer Science, Beijing Institute of Technology, winner of National Natural Science Foundation Outstanding Youth Science Fund (Overseas). He received his bachelor's degree from Beijing University of Aeronautics and Astronautics in 2012 and his doctorate degree from Nanyang Technological University in Singapore in 2018. From 2018 to 2021, he served as research fellow and Research Assistant Professor at Nanyang Technological University, Singapore. In 2022, he joined the School of Computer Science, Beijing Institute of Technology. His research interests include graph data mining, social network analysis, spatial data management and mining. Published many papers in CCF recommended Class A conferences such as VLDB, SIGMOD, ICDE, WWW, and CCF recommended Class A journals such as TKDE, and served as program committee member of international conferences for many times, including SIGIR, KDD, ICDE, WSDM, CIKM, and reviewer of international journals. Including TKDE, VLDB Journal, TODS, SIGSPATIAL, Information Science, etc.
Enrollment plan: 1 doctoral student and 2 ~ 4 master students are enrolled every year.
Personal homepage: https://fengkaiyu.github.io/ < br >

Research Direction
Graph Data Mining, Social Network Analysis, Spatial Data Management and Mining

Personal Information
Feng Kaiyu, Ph.D., Associate Professor, doctoral supervisor, School of Computer Science, Beijing Institute of Technology, winner of National Natural Science Foundation Outstanding Youth Science Fund (Overseas). He received his bachelor's degree from Beijing University of Aeronautics and Astronautics in 2012 and his doctorate degree from Nanyang Technological University in Singapore in 2018. From 2018 to 2021, he served as research fellow and Research Assistant Professor at Nanyang Technological University, Singapore. In 2022, he joined the School of Computer Science, Beijing Institute of Technology. His research interests include graph data mining, social network analysis, spatial data management and mining. Published many papers in CCF recommended Class A conferences such as VLDB, SIGMOD, ICDE, WWW, and CCF recommended Class A journals such as TKDE, and served as program committee member of international conferences for many times, including SIGIR, KDD, ICDE, WSDM, CIKM, and reviewer of international journals. Including TKDE, VLDB Journal, TODS, SIGSPATIAL, Information Science, etc.
Enrollment plan: 1 doctoral student and 2 ~ 4 master students are enrolled every year.
Personal homepage: https://fengkaiyu.github.io/ < br >

Personal Information
Feng Kaiyu, Ph.D., Associate Professor, doctoral supervisor, School of Computer Science, Beijing Institute of Technology, winner of National Natural Science Foundation Outstanding Youth Science Fund (Overseas). He received his bachelor's degree from Beijing University of Aeronautics and Astronautics in 2012 and his doctorate degree from Nanyang Technological University in Singapore in 2018. From 2018 to 2021, he served as research fellow and Research Assistant Professor at Nanyang Technological University, Singapore. In 2022, he joined the School of Computer Science, Beijing Institute of Technology. His research interests include graph data mining, social network analysis, spatial data management and mining. Published many papers in CCF recommended Class A conferences such as VLDB, SIGMOD, ICDE, WWW, and CCF recommended Class A journals such as TKDE, and served as program committee member of international conferences for many times, including SIGIR, KDD, ICDE, WSDM, CIKM, and reviewer of international journals. Including TKDE, VLDB Journal, TODS, SIGSPATIAL, Information Science, etc.
Enrollment plan: 1 doctoral student and 2 ~ 4 master students are enrolled every year.
Personal homepage: https://fengkaiyu.github.io/ < br >

代表性学术成果
Example-based spatial pattern matching
Yue Chen, Kaiyu Feng, Gao Cong, Han Mao Kiah
Proceeding of the VLDB Endowment, 2022

ABC: Attribute bipartite co-clustering
Junghoon Kim, Kaiyu Feng, Gao Cong, Diwen Zhu, Wenyuan Yu, Chunyan Miao
Proceeding of the VLDB Endowment, 2022

A knowledge-enriched ensemble method for word embedding and multi-sense embedding
Lanting Fang, Yong Luo, Kaiyu Feng, Kaiqi Zhao, Aiqun Hu
IEEE Transactions on Knowledge and Data Engineering, 2022

Densely connected user community and location cluster search in location-based social networks.
Junghoon, Tao Guo, Kaiyu Feng, Gao Cong, Arijit Khan, Farhana M. Choudhury.
Proceedings of the 2020 ACM SIGMOD international conference of Management of data

Finding attribute-aware similar regions for data analysis.
Kaiyu Feng, Gao Cong, Christian S. Jensen, Tao Guo
Proceedings of the VLDB Endowment, 2019

SURGE: Continuous detection of bursty regions over a stream of spatial objects
Kaiyu Feng, Tao Guo, Gao Cong, Sourav S. Bhowmick, Shuai Ma.
IEEE Transactions on Knowledge and Data Engineering, 2019

Knowledge-enhanced ensemble learning for word embeddings.
Lanting Fang, Yong Luo, Kaiyu Feng, Kaiqi Zhao, Aiqun Hu.
The World Wide Web Conference 2019

SURGE: Continuous detection of bursty regions over a stream of spatial objects.
Kaiyu Feng, Tao Guo, Gao Cong, Sourav S. Bhowmick, Shuai Ma.
IEEE 34th International Conference on Data Engineering, 2018

Efficient selection of geospatial data on maps for interactive visualized exploration.
Tao Guo, Kaiyu Feng, Gao Cong, Zhifeng Bao.
Proceedings of the 2018 ACM SIGMOD international conference on Management of data

Proxies for shortest path and distance queries.
Shuai Ma, Kaiyu Feng, Jianxin Li, Haixun Wang, Gao Cong, Jinpeng Huai.
IEEE 33rd International Conference on Data Engineering 2017 (Extended abstract)

A system for region search and exploration.
Kaiyu feng, kaiqi zhao, yiding liu, gao cong.
Proceedings of the VLDB Endowment, 2016 (Demonstration)

Proxies for shortest path and distance quries.
Shuai Ma, Kaiyu Feng, Jianxin Li, Haixun Wang, Gao Cong, Jinpeng Huai.
IEEE Transactions on Knowledge and Data Engineering, 2016

Towards best region search for data exploration.
Kaiyu Feng, Gao Cong, Sourav S. Bhowmick, Wen-chih Peng, Chunyan Miao.
Proceedings of the 2016 ACM SIGMOD international conference on Management of data

Querying and mining geo-textual data for exploration: Challenges and opportunities.
Gao Cong, Kaiyu Feng, Kaiqi Zhao.
IEEE 32nd International Conference on Data Engineering Workshop, 2016

In search of influential event organizers in online social networks.
Kaiyu Feng, Gao Cong, Sourav S. Bhowmick, Shuai Ma.
Proceedings of the 2014 ACM SIGMOD international conference on Management of data
所获奖励