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Kai Zeng 0002
Person information
- affiliation: University of California, Berkeley, CA, USA
- affiliation: University of California, Los Angeles, USA
Other persons with the same name
- Kai Zeng — disambiguation page
- Kai Zeng 0001 — George Mason University, Department of Electrical and Computer Engineering, Fairfax, VA, USA (and 3 more)
- Kai Zeng 0003 — University of Waterloo, Canada
- Kai Zeng 0004 — University of Iowa, Department of Biomedical Engineering, Iowa City, IA, USA
- Kai Zeng 0005 — University of Electronic Science and Technology of China, Chengdu, China
- Kai Zeng 0006 — Kagawa University, Takamatsu, Japan
- Kai Zeng 0007 — Guizhou Institute of Technology, Guiyang, China
- Kai Zeng 0008 — Central South University, College of Mechanical and Electrical Engineering, Changsha, China
- Kai Zeng 0009 — China University of Mining and Technology, Xuzhou, China
- Kai Zeng 0010 — Hunan University, Changsha, China
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2020 – today
- 2024
- [j19]Bolong Zheng, Lingfeng Ming, Kai Zeng, Mengtao Zhou, Xinyong Zhang, Tao Ye, Bin Yang, Xiaofang Zhou, Christian S. Jensen:
Adversarial Graph Neural Network for Multivariate Time Series Anomaly Detection. IEEE Trans. Knowl. Data Eng. 36(12): 7612-7626 (2024) - 2023
- [j18]Xu Chen, Zhen Wang, Shuncheng Liu, Yaliang Li, Kai Zeng, Bolin Ding, Jingren Zhou, Han Su, Kai Zheng:
BASE: Bridging the Gap between Cost and Latency for Query Optimization. Proc. VLDB Endow. 16(8): 1958-1966 (2023) - [j17]Xu Chen, Haitian Chen, Zibo Liang, Shuncheng Liu, Jinghong Wang, Kai Zeng, Han Su, Kai Zheng:
LEON: A New Framework for ML-Aided Query Optimization. Proc. VLDB Endow. 16(9): 2261-2273 (2023) - [j16]Zuozhi Wang, Kai Zeng, Botong Huang, Wei Chen, Xiaozong Cui, Bo Wang, Ji Liu, Liya Fan, Dachuan Qu, Zhenyu Hou, Tao Guan, Chen Li, Jingren Zhou:
Tempura: a general cost-based optimizer framework for incremental data processing (Journal Version). VLDB J. 32(6): 1315-1342 (2023) - [c24]Zibo Liang, Xu Chen, Yan Zhao, Jiandong Xie, Kai Zeng, Kai Zheng:
Efficient Cardinality and Cost Estimation with Bidirectional Compressor-based Ensemble Learning. ICDM 2023: 388-397 - [c23]Daoyuan Chen, Wuchao Li, Yaliang Li, Bolin Ding, Kai Zeng, Defu Lian, Jingren Zhou:
Learned Index with Dynamic $\epsilon$. ICLR 2023 - [e1]Rajesh Bordawekar, Cinzia Cappiello, Vasilis Efthymiou, Lisa Ehrlinger, Vijay Gadepally, Sainyam Galhotra, Sandra Geisler, Sven Groppe, Le Gruenwald, Alon Y. Halevy, Hazar Harmouch, Oktie Hassanzadeh, Ihab F. Ilyas, Ernesto Jiménez-Ruiz, Sanjay Krishnan, Tirthankar Lahiri, Guoliang Li, Jiaheng Lu, Wolfgang Mauerer, Umar Farooq Minhas, Felix Naumann, M. Tamer Özsu, El Kindi Rezig, Kavitha Srinivas, Michael Stonebraker, Satyanarayana R. Valluri, Maria-Esther Vidal, Haixun Wang, Jiannan Wang, Yingjun Wu, Xun Xue, Mohamed Zaït, Kai Zeng:
Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28 - September 1, 2023. CEUR Workshop Proceedings 3462, CEUR-WS.org 2023 [contents] - [i12]Zeyuan Tan, Xiulong Yuan, Congjie He, Man-Kit Sit, Guo Li, Xiaoze Liu, Baole Ai, Kai Zeng, Peter R. Pietzuch, Luo Mai:
Quiver: Supporting GPUs for Low-Latency, High-Throughput GNN Serving with Workload Awareness. CoRR abs/2305.10863 (2023) - 2022
- [j15]Li Su, Xiaoming Qin, Zichao Zhang, Rui Yang, Le Xu, Indranil Gupta, Wenyuan Yu, Kai Zeng, Jingren Zhou:
Banyan: A Scoped Dataflow Engine for Graph Query Service. Proc. VLDB Endow. 15(10): 2045-2057 (2022) - [j14]Chenghao Lyu, Qi Fan, Fei Song, Arnab Sinha, Yanlei Diao, Wei Chen, Li Ma, Yihui Feng, Yaliang Li, Kai Zeng, Jingren Zhou:
Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing. Proc. VLDB Endow. 15(11): 3098-3111 (2022) - [c22]Ziniu Wu, Pei Yu, Peilun Yang, Rong Zhu, Yuxing Han, Yaliang Li, Defu Lian, Kai Zeng, Jingren Zhou:
A Unified Transferable Model for ML-Enhanced DBMS. CIDR 2022 - [c21]Jinglin Peng, Bolin Ding, Jiannan Wang, Kai Zeng, Jingren Zhou:
One Size Does Not Fit All: A Bandit-Based Sampler Combination Framework with Theoretical Guarantees. SIGMOD Conference 2022: 531-544 - [i11]Li Su, Xiaoming Qin, Zichao Zhang, Rui Yang, Le Xu, Indranil Gupta, Wenyuan Yu, Kai Zeng, Jingren Zhou:
Banyan: A Scoped Dataflow Engine for Graph Query Service. CoRR abs/2202.12530 (2022) - [i10]Chenghao Lyu, Qi Fan, Fei Song, Arnab Sinha, Yanlei Diao, Wei Chen, Li Ma, Yihui Feng, Yaliang Li, Kai Zeng, Jingren Zhou:
Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing. CoRR abs/2207.02026 (2022) - 2021
- [j13]Rong Zhu, Ziniu Wu, Yuxing Han, Kai Zeng, Andreas Pfadler, Zhengping Qian, Jingren Zhou, Bin Cui:
FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation. Proc. VLDB Endow. 14(9): 1489-1502 (2021) - [j12]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, Kai Zeng, Kun Zhao, Jingren Zhou, Diwen Zhu, Rong Zhu:
GraphScope: A Unified Engine For Big Graph Processing. Proc. VLDB Endow. 14(12): 2879-2892 (2021) - [j11]Yuxing Han, Ziniu Wu, Peizhi Wu, Rong Zhu, Jingyi Yang, Liang Wei Tan, Kai Zeng, Gao Cong, Yanzhao Qin, Andreas Pfadler, Zhengping Qian, Jingren Zhou, Jiangneng Li, Bin Cui:
Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation. Proc. VLDB Endow. 15(4): 752-765 (2021) - [c20]Zhi Xu, Shuncheng Liu, Ziniu Wu, Xu Chen, Kai Zeng, Kai Zheng, Han Su:
PATROL: A Velocity Control Framework for Autonomous Vehicle via Spatial-Temporal Reinforcement Learning. CIKM 2021: 2271-2280 - [c19]Yaliang Li, Zhen Wang, Yuexiang Xie, Bolin Ding, Kai Zeng, Ce Zhang:
AutoML: From Methodology to Application. CIKM 2021: 4853-4856 - [c18]Yu Zhu, Zhenhao He, Wenqi Jiang, Kai Zeng, Jingren Zhou, Gustavo Alonso:
Distributed Recommendation Inference on FPGA Clusters. FPL 2021: 279-285 - [c17]Bolong Zheng, Lianggui Weng, Xi Zhao, Kai Zeng, Xiaofang Zhou, Christian S. Jensen:
REPOSE: Distributed Top-k Trajectory Similarity Search with Local Reference Point Tries. ICDE 2021: 708-719 - [c16]Wenqi Jiang, Zhenhao He, Shuai Zhang, Kai Zeng, Liang Feng, Jiansong Zhang, Tongxuan Liu, Yong Li, Jingren Zhou, Ce Zhang, Gustavo Alonso:
FleetRec: Large-Scale Recommendation Inference on Hybrid GPU-FPGA Clusters. KDD 2021: 3097-3105 - [c15]Shuncheng Liu, Han Su, Yan Zhao, Kai Zeng, Kai Zheng:
Lane Change Scheduling for Autonomous Vehicle: A Prediction-and-Search Framework. KDD 2021: 3343-3353 - [c14]Wenqi Jiang, Zhenhao He, Shuai Zhang, Thomas B. Preußer, Kai Zeng, Liang Feng, Jiansong Zhang, Tongxuan Liu, Yong Li, Jingren Zhou, Ce Zhang, Gustavo Alonso:
MicroRec: Efficient Recommendation Inference by Hardware and Data Structure Solutions. MLSys 2021 - [i9]Yaliang Li, Daoyuan Chen, Bolin Ding, Kai Zeng, Jingren Zhou:
A Pluggable Learned Index Method via Sampling and Gap Insertion. CoRR abs/2101.00808 (2021) - [i8]Bolong Zheng, Lianggui Weng, Xi Zhao, Kai Zeng, Xiaofang Zhou, Christian S. Jensen:
REPOSE: Distributed Top-k Trajectory Similarity Search with Local Reference Point Tries. CoRR abs/2101.08929 (2021) - [i7]Ziniu Wu, Peilun Yang, Pei Yu, Rong Zhu, Yuxing Han, Yaliang Li, Defu Lian, Kai Zeng, Jingren Zhou:
A Unified Transferable Model for ML-Enhanced DBMS. CoRR abs/2105.02418 (2021) - [i6]Yuxing Han, Ziniu Wu, Peizhi Wu, Rong Zhu, Jingyi Yang, Liang Wei Tan, Kai Zeng, Gao Cong, Yanzhao Qin, Andreas Pfadler, Zhengping Qian, Jingren Zhou, Jiangneng Li, Bin Cui:
Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation. CoRR abs/2109.05877 (2021) - 2020
- [j10]Hao Zhou, Yan Zhao, Junhua Fang, Xuanhao Chen, Kai Zeng:
Hybrid route recommendation with taxi and shared bicycles. Distributed Parallel Databases 38(3): 563-583 (2020) - [j9]Xiaowei Jiang, Yuejun Hu, Yu Xiang, Guangran Jiang, Xiaojun Jin, Chen Xia, Weihua Jiang, Jun Yu, Haitao Wang, Yuan Jiang, Jihong Ma, Li Su, Kai Zeng:
Alibaba Hologres: A Cloud-Native Service for Hybrid Serving/Analytical Processing. Proc. VLDB Endow. 13(12): 3272-3284 (2020) - [j8]Zuozhi Wang, Kai Zeng, Botong Huang, Wei Chen, Xiaozong Cui, Bo Wang, Ji Liu, Liya Fan, Dachuan Qu, Zhenyu Hou, Tao Guan, Chen Li, Jingren Zhou:
Tempura: A General Cost-Based Optimizer Framework for Incremental Data Processing. Proc. VLDB Endow. 14(1): 14-27 (2020) - [c13]Jingxiong Ni, Yan Zhao, Kai Zeng, Han Su, Kai Zheng:
DeepQT : Learning Sequential Context for Query Execution Time Prediction. DASFAA (3) 2020: 188-203 - [c12]Zuozhi Wang, Kai Zeng, Botong Huang, Wei Chen, Xiaozong Cui, Bo Wang, Ji Liu, Liya Fan, Dachuan Qu, Zhenyu Hou, Tao Guan, Chen Li, Jingren Zhou:
Grosbeak: A Data Warehouse Supporting Resource-Aware Incremental Computing. SIGMOD Conference 2020: 2797-2800 - [i5]Zuozhi Wang, Kai Zeng, Botong Huang, Wei Chen, Xiaozong Cui, Bo Wang, Ji Liu, Liya Fan, Dachuan Qu, Zhenyu Hou, Tao Guan, Chen Li, Jingren Zhou:
Tempura: A General Cost Based Optimizer Framework for Incremental Data Processing (Extended Version). CoRR abs/2009.13631 (2020) - [i4]Wenqi Jiang, Zhenhao He, Shuai Zhang, Thomas B. Preußer, Kai Zeng, Liang Feng, Jiansong Zhang, Tongxuan Liu, Yong Li, Jingren Zhou, Ce Zhang, Gustavo Alonso:
MicroRec: Accelerating Deep Recommendation Systems to Microseconds by Hardware and Data Structure Solutions. CoRR abs/2010.05894 (2020) - [i3]Ziniu Wu, Rong Zhu, Andreas Pfadler, Yuxing Han, Jiangneng Li, Zhengping Qian, Kai Zeng, Jingren Zhou:
FSPN: A New Class of Probabilistic Graphical Model. CoRR abs/2011.09020 (2020) - [i2]Rong Zhu, Ziniu Wu, Yuxing Han, Kai Zeng, Andreas Pfadler, Zhengping Qian, Jingren Zhou, Bin Cui:
FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation. CoRR abs/2011.09022 (2020)
2010 – 2019
- 2018
- [j7]Luo Mai, Kai Zeng, Rahul Potharaju, Le Xu, Steve Suh, Shivaram Venkataraman, Paolo Costa, Terry Kim, Saravanam Muthukrishnan, Vamsi Kuppa, Sudheer Dhulipalla, Sriram Rao:
Chi: A Scalable and Programmable Control Plane for Distributed Stream Processing Systems. Proc. VLDB Endow. 11(10): 1303-1316 (2018) - 2016
- [c11]Kai Zeng, Sameer Agarwal, Ion Stoica:
iOLAP: Managing Uncertainty for Efficient Incremental OLAP. SIGMOD Conference 2016: 1347-1361 - [c10]Yaguang Li, Han Su, Ugur Demiryurek, Bolong Zheng, Kai Zeng, Cyrus Shahabi:
PerNav: A Route Summarization Framework for Personalized Navigation. SIGMOD Conference 2016: 2125-2128 - [p1]Nikolay Laptev, Barzan Mozafari, Hamid Mousavi, Hetal Thakkar, Haixun Wang, Kai Zeng, Carlo Zaniolo:
Extending Relational Query Languages for Data Streams. Data Stream Management 2016: 361-386 - 2015
- [c9]Han Su, Kai Zheng, Kai Zeng, Jiamin Huang, Shazia Wasim Sadiq, Nicholas Jing Yuan, Xiaofang Zhou:
Making sense of trajectory data: A partition-and-summarization approach. ICDE 2015: 963-974 - [c8]Liping Peng, Vuk Ercegovac, Kai Zeng, Peter J. Haas, Andrey Balmin, Yannis Sismanis:
Groupwise analytics via adaptive MapReduce. ICDE 2015: 1059-1070 - [c7]Kai Zeng, Sameer Agarwal, Ankur Dave, Michael Armbrust, Ion Stoica:
G-OLA: Generalized On-Line Aggregation for Interactive Analysis on Big Data. SIGMOD Conference 2015: 913-918 - 2014
- [b1]Kai Zeng:
Approximation and Search Optimization on Massive Data Bases and Data Streams. University of California, Los Angeles, USA, 2014 - [j6]Han Su, Kai Zheng, Kai Zeng, Jiamin Huang, Xiaofang Zhou:
STMaker - A System to Make Sense of Trajectory Data. Proc. VLDB Endow. 7(13): 1701-1704 (2014) - [c6]Kai Zeng, Shi Gao, Barzan Mozafari, Carlo Zaniolo:
The analytical bootstrap: a new method for fast error estimation in approximate query processing. SIGMOD Conference 2014: 277-288 - [c5]Kai Zeng, Shi Gao, Jiaqi Gu, Barzan Mozafari, Carlo Zaniolo:
ABS: a system for scalable approximate queries with accuracy guarantees. SIGMOD Conference 2014: 1067-1070 - 2013
- [j5]Kai Zeng, Jiacheng Yang, Haixun Wang, Bin Shao, Zhongyuan Wang:
A Distributed Graph Engine for Web Scale RDF Data. Proc. VLDB Endow. 6(4): 265-276 (2013) - [j4]Alexander Shkapsky, Kai Zeng, Carlo Zaniolo:
Graph Queries in a Next-Generation Datalog System. Proc. VLDB Endow. 6(12): 1258-1261 (2013) - [j3]Barzan Mozafari, Kai Zeng, Loris D'Antoni, Carlo Zaniolo:
High-performance complex event processing over hierarchical data. ACM Trans. Database Syst. 38(4): 21 (2013) - [c4]Nikolay Laptev, Kai Zeng, Carlo Zaniolo:
Very fast estimation for result and accuracy of big data analytics: The EARL system. ICDE 2013: 1296-1299 - [c3]Kai Zeng, Mohan Yang, Barzan Mozafari, Carlo Zaniolo:
Complex pattern matching in complex structures: The XSeq approach. ICDE 2013: 1328-1331 - 2012
- [j2]Nikolay Laptev, Kai Zeng, Carlo Zaniolo:
Early Accurate Results for Advanced Analytics on MapReduce. Proc. VLDB Endow. 5(10): 1028-1039 (2012) - [c2]Barzan Mozafari, Kai Zeng, Carlo Zaniolo:
High-performance complex event processing over XML streams. SIGMOD Conference 2012: 253-264 - [i1]Nikolay Laptev, Kai Zeng, Carlo Zaniolo:
Early Accurate Results for Advanced Analytics on MapReduce. CoRR abs/1207.0142 (2012) - 2010
- [j1]Barzan Mozafari, Kai Zeng, Carlo Zaniolo:
From Regular Expressions to Nested Words: Unifying Languages and Query Execution for Relational and XML Sequences. Proc. VLDB Endow. 3(1): 150-161 (2010) - [c1]Barzan Mozafari, Kai Zeng, Carlo Zaniolo:
K*SQL: a unifying engine for sequence patterns and XML. SIGMOD Conference 2010: 1143-1146
Coauthor Index
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last updated on 2024-12-02 21:27 CET by the dblp team
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