Kankan Zhao

According to our database, Kankan Zhao authored at least 14 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Equilibrated Zeroth-Order Unrolled Deep Network for Parallel MR Imaging.

Zhuo-Xu Cui, Sen Jia, Jing Cheng, Qingyong Zhu, Yuanyuan Liu, Kankan Zhao, Ziwen Ke, Wenqi Huang, Haifeng Wang, Yanjie Zhu, Leslie Ying, Dong Liang

IEEE Trans. Medical Imaging, December, 2023

A Comprehensive Survey on Database Management System Fuzzing: Techniques, Taxonomy and Experimental Comparison.

Xiyue Gao, Zhuang Liu, Jiangtao Cui, Hui Li, Hui Zhang, Kewei Wei, Kankan Zhao

CoRR, 2023

One Size Cannot Fit All: a Self-Adaptive Dispatcher for Skewed Hash Join in Shared-nothing RDBMSs.

Jinxin Yang, Hui Li, Yiming Si, Hui Zhang, Kankan Zhao, Kewei Wei, Wenlong Song, Yingfan Liu, Jiangtao Cui

CoRR, 2023

Scaling Machine Learning with an Efficient Hybrid Distributed Framework.

Kankan Zhao, Youfang Leng, Hui Zhang, Xiyu Gao

Proceedings of the Web Information Systems Engineering - WISE 2023, 2023

Scaling Machine Learning with a Ring-based Distributed Framework.

Kankan Zhao, Youfang Leng, Hui Zhang

Proceedings of the 2023 7th International Conference on Computer Science and Artificial Intelligence, 2023

2022

DBinsight: A Tool for Interactively Understanding the Query Processing Pipeline in RDBMSs.

Ying Rong, Hui Li, Kankan Zhao, Xiyue Gao, Jiangtao Cui

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Equilibrated Zeroth-Order Unrolled Deep Networks for Accelerated MRI.

Zhuo-Xu Cui, Jing Cheng, Qingyong Zhu, Yuanyuan Liu, Sen Jia, Kankan Zhao, Ziwen Ke, Wenqi Huang, Haifeng Wang, Yanjie Zhu, Dong Liang

CoRR, 2021

2020

A Distributed Coordinate Descent Algorithm for Learning Factorization Machine.

Kankan Zhao, Jing Zhang, Liangfu Zhang, Cuiping Li, Hong Chen

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

2018

CDSFM: A Circular Distributed SGLD-Based Factorization Machines.

Kankan Zhao, Jing Zhang, Liangfu Zhang, Cuiping Li, Hong Chen

Proceedings of the Database Systems for Advanced Applications, 2018

2017

Learning to context-aware recommend with hierarchical factorization machines.

Shaoqing Wang, Cuiping Li, Kankan Zhao, Hong Chen

Inf. Sci., 2017

Context-Aware Recommendations with Random Partition Factorization Machines.

Shaoqing Wang, Cuiping Li, Kankan Zhao, Hong Chen

Data Sci. Eng., 2017

2016

Random Partition Factorization Machines for Context-Aware Recommendations.

Shaoqing Wang, Cuilan Du, Kankan Zhao, Cuiping Li, Yangxi Li, Yang Zheng, Zheng Wang, Hong Chen

Proceedings of the Web-Age Information Management - 17th International Conference, 2016

Learn to Recommend Local Event Using Heterogeneous Social Networks.

Shaoqing Wang, Zheng Wang, Cuiping Li, Kankan Zhao, Hong Chen

Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

2015

CROWN: A Context-aware RecOmmender for Web News.

Shaoqing Wang, Benyou Zou, Cuiping Li, Kankan Zhao, Qiang Liu, Hong Chen

Proceedings of the 31st IEEE International Conference on Data Engineering, 2015