张凯 - 复旦大学 - 计算机科学技术学院

个人简介

Dr. Kai Zhang is an Associate Professor at Fudan University. He received his Ph.D. degree from University of Science and Technology of China in 2016. Before joining Fudan in Oct. 2017, he was a Research Fellow at National University of Singapore from Oct. 2016 to Oct. 2017. He was a Visiting Scholar at The Ohio State University from Sep. 2013 to Sep. 2015.

研究领域

His research areas include Database Systems, Networked Systems, Parallel and Distributed Computing.

近期论文

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RTScan: Efficient Scan with Ray Tracing Cores . Yangming Lv, Ziming Wang, Kai Zhang, Zhenying He, Yinan Jing and X. Sean Wang. Proceedings of 50th International Conference on Very Large Databases (VLDB), 2024. MWP: Multi-Window Parallel Evaluation of Regular Path Queries on Streaming Graphs . Siyuan Zhang, Zhenying He, Yinan Jing, Kai Zhang and X. Sean Wang. Proceedings of the 39 th ACM International Conference on Management of Data (SIGMOD), 2024. MetaSQL: A Generate-then-Rank Framework for Natural Language to SQL Translation . Yuankai Fan, Zhenying He, Tonghui Ren, Can Huang, Yinan Jing, Kai Zhang, X.Sean Wang. IEEE International Conference on Data Engineering (ICDE), 2024. Learning-based Sample Tuning for Approximate Query Processing in Interactive Data Exploration . Hanbing Zhang, Yinan Jing, Zhenying He, Kai Zhang and X.Sean Wang. IEEE Transactions on Knowledge and Data Engineering (TKDE), Accepted. CLIC: An Extensible and Efficient Cross-Platform Data Analytics System . Qixiang Chen, Zhijun Chen, Kai Zhang and X. Sean Wang. IEEE Transactions on Parallel and Distributed Systems(TPDS), 2023. BlinkViz: Fast and Scalable Approximate Visualization on Very Large Datasets using Neural-Enhanced Mixed Sum-Product Networks . Yimeng Qiao, Yinan Jing, Hanbing Zhang, Zhenying He, Kai Zhang and X. Sean Wang. The Web Conference(WWW), April 30 - May 4, 2023. Gaviss: Boosting the Performance of GPU-Accelerated NFV Systems via Data Sharing . Liangchen Guo, Kai Zhang, X. Sean Wang. IEEE Transactions on Parallel and Distributed Systems(TPDS), 2022. Chunk-Level Password Guessing: Towards Modeling Refined Password Composition Representations. Ming Xu, Chuanwang Wang, Jitao Yu, Junjie Zhang, Kai Zhang, Weili Han. Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security(CCS), November 15-19, 2021. TransPCFG:Transferring the Grammars From Short Passwords to Guess Long Passwords Effectively. Weili Han, Ming Xu, Junjie Zhang, Chuanwang Wang, Kai Zhang, X. Sean Wang. IEEE Transactions on Information Forensics and Security (TIFS), 16: 451-465, 2021. BinDex: A Two-Layered Index for Fast and Robust Scans. Linwei Li, Kai Zhang, Jiading Guo, Wen He, Zhenying He, Yinan Jing, Weili Han, X. Sean Wang. Proceedings of the 39th ACM International Conference on Management of Data (SIGMOD), Portland OR, USA, June 14-19, 2020. An Agile Sample Maintenance Approach for Agile Analytics. Hanbing Zhang, Yazhong Zhang, Zhenying He, Yinan Jing, Kai Zhang, X. Sean Wang. Proceedings of the 36th IEEE International Conference on Data Engineering (ICDE), Dallas TX, USA, April 20-24, 2020. Understanding and Optimizing Conjunctive Predicates under Memory-Efficient Storage Layouts. Zeke Wang, Xue Liu, Kai Zhang, Haihang Zhou, Bingsheng He. IEEE Transactions on Knowledge and Data Engineering (TKDE). G-NET: Effective GPU Sharing in NFV Systems. Kai Zhang, Bingsheng He, Jiayu Hu, Zeke Wang, Bei Hua, Jiayi Meng, Lishan Yang. Proceedings of the 15th USENIX Symposium on Networked Systems Design and Implementation (NSDI), Renton WA, USA, April 9-11, 2018. Hebe: An Order-obliviousness and High-performance Execution Scheme for Conjunctive Predicates. Zeke Wang, Kai Zhang, Haihang Zhou, Xue Liu, Bingsheng He. Proceedings of the 34th IEEE International Conference on Data Engineering (ICDE short paper), Paris, France, April 16-20, 2018. A Distributed In-Memory Key-Value Store System on Heterogeneous CPU–GPU Cluster. Kai Zhang, Kaibo Wang, Yuan Yuan, Lei Guo, Rubao Li, Xiaodong Zhang, Bingsheng He, Jiayu Hu, Bei Hua. The International Journal on Very Large Data Bases (VLDB Journal), Volume 26 Number 5, Pages 729-750, October 2017. DIDO: Dynamic Pipelines for In-Memory Key-Value Stores on Coupled CPU-GPU Architectures. Kai Zhang, Jiayu Hu, Bingsheng He, Bei Hua. Proceedings of the 33rd IEEE International Conference on Data Engineering (ICDE), San Diego, California, USA, April 19-22, 2017. Mega-KV: A Case for GPUs to Maximize the Throughput of In-Memory Key-Value Stores. Kai Zhang, Kaibo Wang, Yuan Yuan, Lei Guo, Rubao Lee, and Xiaodong Zhang. Proceedings of the VLDB Endowment, Vol. 8, Issue. 11. July 2015. (presented in the 41th International Conference on Very Large Data Bases (VLDB), Hawaii, USA, August 31 - September 4, 2015) Hetero-DB: The Next Generation High-Performance Database System on Heterogeneous Computing and Storage Hardware. Kai Zhang, Feng Chen, Xiaoning Ding, Yin Huai, Rubao Lee, Tian Luo, Kaibo Wang, Yuan Yuan, and Xiaodong Zhang. Journal of Computer Science and Technology (JCST), Volume 30, Issue 4, pages 657-678, July 2015. A Holistic Approach to Build Real-time Stream Processing System with GPU. Kai Zhang, Jiayu Hu, Bei Hua. Journal of Parallel and Distributed Systems (JPDC), Volume 83 Issue C, Pages 44-57, September 2015. Concurrent analytical query processing with GPUs. Kaibo Wang, Kai Zhang, Yuan Yuan, Siyuan Ma, Rubao Lee, Xiaoning Ding, and Xiaodong Zhang. Proceedings of the VLDB Endowment, Vol. 7, Issue. 11. July 2014. (presented in the 40th International Conference on Very Large Data Bases (VLDB), Hangzhou, China, September 1-5, 2014.)