Kai Zeng

64 papers A* 11A 3B 1Journal 35Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
LEON
VLDB J.
Xu Chen, Ximu Zeng, Yuze Wang, Zibo Liang, Kai Zeng, Han Su, Kai Zheng
2025 J jnl
A Unified Model for Cardinality Estimation by Learning from Data and Queries via Sum-Product Networks.
CoRR
Jiawei Liu, Ju Fan, Tongyu Liu, Kai Zeng, Jiannan Wang, Quehuan Liu, Tao Ye, Nan Tang
2025 J jnl
Agamotto: Scheduling of Deadline-Oriented Incremental Query Execution under Uncertain Resource Price.
Proc. VLDB Endow.
Botong Huang, Lianggui Weng, Wei Chen, Zuozhi Wang, Kai Zeng, Chen Li, Yihui Feng, Bolin Ding, Jingren Zhou
2025 A* conf
Anomaly Diagnosis with Siamese Discrepancy Networks in Distributed Cloud Databases.
ICDE
Lingsen Yan, Bolong Zheng, Junjie Qing, Wenlong You, Tingyang Chen, Zhi Xu, Shuncheng Liu, Kai Zeng, Tao Ye, Xiaofang Zhou
2025 A* conf
Compatible Unsupervised Anomaly Detection with Multi-Perspective Spatio-Temporal Learning.
ICDE
Tingyang Chen, Bolong Zheng, Shuncheng Liu, Zhujiong Fan, Zhi Xu, Lingsen Yan, Kai Zeng, Tao Ye, Xiaofang Zhou
2025 J jnl
Optimizing Block Skipping for High-Dimensional Data with Learned Adaptive Curve.
Proc. ACM Manag. Data
Xu Chen, Shuncheng Liu, Tong Yuan, Tao Ye, Kai Zeng, Han Su, Kai Zheng
2024 J jnl
Adversarial Graph Neural Network for Multivariate Time Series Anomaly Detection.
IEEE Trans. Knowl. Data Eng.
Bolong Zheng, Lingfeng Ming, Kai Zeng, Mengtao Zhou, Xinyong Zhang, Tao Ye, Bin Yang, Xiaofang Zhou, Christian S. Jensen
2023 J jnl
BASE: Bridging the Gap between Cost and Latency for Query Optimization.
Proc. VLDB Endow.
Xu Chen, Zhen Wang, Shuncheng Liu, Yaliang Li, Kai Zeng, Bolin Ding, Jingren Zhou, Han Su, Kai Zheng
2023 A* conf
Efficient Cardinality and Cost Estimation with Bidirectional Compressor-based Ensemble Learning.
ICDM
Zibo Liang, Xu Chen, Yan Zhao, Jiandong Xie, Kai Zeng, Kai Zheng
2023 — ed.
Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28 - September 1, 2023.
VLDB Workshops
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
2023 J jnl
LEON: A New Framework for ML-Aided Query Optimization.
Proc. VLDB Endow.
Xu Chen, Haitian Chen, Zibo Liang, Shuncheng Liu, Jinghong Wang, Kai Zeng, Han Su, Kai Zheng
2023 A* conf
Learned Index with Dynamic $\epsilon$.
ICLR
Daoyuan Chen, Wuchao Li, Yaliang Li, Bolin Ding, Kai Zeng, Defu Lian, Jingren Zhou
2023 J jnl
Quiver: Supporting GPUs for Low-Latency, High-Throughput GNN Serving with Workload Awareness.
CoRR
Zeyuan Tan, Xiulong Yuan, Congjie He, Man-Kit Sit, Guo Li, Xiaoze Liu, Baole Ai, Kai Zeng, Peter R. Pietzuch, Luo Mai
2023 J jnl
Tempura: a general cost-based optimizer framework for incremental data processing (Journal Version).
VLDB J.
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
2022 A conf
A Unified Transferable Model for ML-Enhanced DBMS.
CIDR
Ziniu Wu, Pei Yu, Peilun Yang, Rong Zhu, Yuxing Han, Yaliang Li, Defu Lian, Kai Zeng, Jingren Zhou
2022 J jnl
Banyan: A Scoped Dataflow Engine for Graph Query Service.
CoRR
Li Su, Xiaoming Qin, Zichao Zhang, Rui Yang, Le Xu, Indranil Gupta, Wenyuan Yu, Kai Zeng, Jingren Zhou
2022 J jnl
Banyan: A Scoped Dataflow Engine for Graph Query Service.
Proc. VLDB Endow.
Li Su, Xiaoming Qin, Zichao Zhang, Rui Yang, Le Xu, Indranil Gupta, Wenyuan Yu, Kai Zeng, Jingren Zhou
2022 J jnl
Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing.
CoRR
Chenghao Lyu, Qi Fan, Fei Song, Arnab Sinha, Yanlei Diao, Wei Chen, Li Ma, Yihui Feng, Yaliang Li, Kai Zeng, Jingren Zhou
2022 J jnl
Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing.
Proc. VLDB Endow.
Chenghao Lyu, Qi Fan, Fei Song, Arnab Sinha, Yanlei Diao, Wei Chen, Li Ma, Yihui Feng, Yaliang Li, Kai Zeng, Jingren Zhou
2022 — conf
One Size Does Not Fit All: A Bandit-Based Sampler Combination Framework with Theoretical Guarantees.
SIGMOD Conference
Jinglin Peng, Bolin Ding, Jiannan Wang, Kai Zeng, Jingren Zhou
2021 J jnl
A Pluggable Learned Index Method via Sampling and Gap Insertion.
CoRR
Yaliang Li, Daoyuan Chen, Bolin Ding, Kai Zeng, Jingren Zhou
2021 J jnl
A Unified Transferable Model for ML-Enhanced DBMS.
CoRR
Ziniu Wu, Peilun Yang, Pei Yu, Rong Zhu, Yuxing Han, Yaliang Li, Defu Lian, Kai Zeng, Jingren Zhou
2021 A conf
AutoML: From Methodology to Application.
CIKM
Yaliang Li, Zhen Wang, Yuexiang Xie, Bolin Ding, Kai Zeng, Ce Zhang
2021 J jnl
Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation.
CoRR
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
2021 J jnl
Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation.
Proc. VLDB Endow.
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
2021 B conf
Distributed Recommendation Inference on FPGA Clusters.
FPL
Yu Zhu, Zhenhao He, Wenqi Jiang, Kai Zeng, Jingren Zhou, Gustavo Alonso
2021 J jnl
FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation.
Proc. VLDB Endow.
Rong Zhu, Ziniu Wu, Yuxing Han, Kai Zeng, Andreas Pfadler, Zhengping Qian, Jingren Zhou, Bin Cui
2021 A* conf
FleetRec: Large-Scale Recommendation Inference on Hybrid GPU-FPGA Clusters.
KDD
Wenqi Jiang, Zhenhao He, Shuai Zhang, Kai Zeng, Liang Feng, Jiansong Zhang, Tongxuan Liu, Yong Li, Jingren Zhou, Ce Zhang, Gustavo Alonso
2021 J jnl
GraphScope: A Unified Engine For Big Graph Processing.
Proc. VLDB Endow.
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
2021 A* conf
Lane Change Scheduling for Autonomous Vehicle: A Prediction-and-Search Framework.
KDD
Shuncheng Liu, Han Su, Yan Zhao, Kai Zeng, Kai Zheng
2021 — conf
MicroRec: Efficient Recommendation Inference by Hardware and Data Structure Solutions.
MLSys
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
2021 A conf
PATROL: A Velocity Control Framework for Autonomous Vehicle via Spatial-Temporal Reinforcement Learning.
CIKM
Zhi Xu, Shuncheng Liu, Ziniu Wu, Xu Chen, Kai Zeng, Kai Zheng, Han Su
2021 A* conf
REPOSE: Distributed Top-k Trajectory Similarity Search with Local Reference Point Tries.
ICDE
Bolong Zheng, Lianggui Weng, Xi Zhao, Kai Zeng, Xiaofang Zhou, Christian S. Jensen
2021 J jnl
REPOSE: Distributed Top-k Trajectory Similarity Search with Local Reference Point Tries.
CoRR
Bolong Zheng, Lianggui Weng, Xi Zhao, Kai Zeng, Xiaofang Zhou, Christian S. Jensen
2020 J jnl
Alibaba Hologres: A Cloud-Native Service for Hybrid Serving/Analytical Processing.
Proc. VLDB Endow.
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
2020 — conf
DeepQT : Learning Sequential Context for Query Execution Time Prediction.
DASFAA (3)
Jingxiong Ni, Yan Zhao, Kai Zeng, Han Su, Kai Zheng
2020 J jnl
FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation.
CoRR
Rong Zhu, Ziniu Wu, Yuxing Han, Kai Zeng, Andreas Pfadler, Zhengping Qian, Jingren Zhou, Bin Cui
2020 J jnl
FSPN: A New Class of Probabilistic Graphical Model.
CoRR
Ziniu Wu, Rong Zhu, Andreas Pfadler, Yuxing Han, Jiangneng Li, Zhengping Qian, Kai Zeng, Jingren Zhou
2020 — conf
Grosbeak: A Data Warehouse Supporting Resource-Aware Incremental Computing.
SIGMOD Conference
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
2020 J jnl
Hybrid route recommendation with taxi and shared bicycles.
Distributed Parallel Databases
Hao Zhou, Yan Zhao, Junhua Fang, Xuanhao Chen, Kai Zeng
2020 J jnl
MicroRec: Accelerating Deep Recommendation Systems to Microseconds by Hardware and Data Structure Solutions.
CoRR
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
2020 J jnl
Tempura: A General Cost Based Optimizer Framework for Incremental Data Processing (Extended Version).
CoRR
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
2020 J jnl
Tempura: A General Cost-Based Optimizer Framework for Incremental Data Processing.
Proc. VLDB Endow.
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
2018 J jnl
Chi: A Scalable and Programmable Control Plane for Distributed Stream Processing Systems.
Proc. VLDB Endow.
Luo Mai, Kai Zeng, Rahul Potharaju, Le Xu, Steve Suh, Shivaram Venkataraman, Paolo Costa, Terry Kim, Saravanam Muthukrishnan, Vamsi Kuppa, Sudheer Dhulipalla, Sriram Rao
2016 — ch.
Extending Relational Query Languages for Data Streams.
Data Stream Management
Nikolay Laptev, Barzan Mozafari, Hamid Mousavi, Hetal Thakkar, Haixun Wang, Kai Zeng, Carlo Zaniolo
2016 — conf
PerNav: A Route Summarization Framework for Personalized Navigation.
SIGMOD Conference
Yaguang Li, Han Su, Ugur Demiryurek, Bolong Zheng, Kai Zeng, Cyrus Shahabi
2016 — conf
iOLAP: Managing Uncertainty for Efficient Incremental OLAP.
SIGMOD Conference
Kai Zeng, Sameer Agarwal, Ion Stoica
2015 — conf
G-OLA: Generalized On-Line Aggregation for Interactive Analysis on Big Data.
SIGMOD Conference
Kai Zeng, Sameer Agarwal, Ankur Dave, Michael Armbrust, Ion Stoica
2015 A* conf
Groupwise analytics via adaptive MapReduce.
ICDE
Liping Peng, Vuk Ercegovac, Kai Zeng, Peter J. Haas, Andrey Balmin, Yannis Sismanis
2015 A* conf
Making sense of trajectory data: A partition-and-summarization approach.
ICDE
Han Su, Kai Zheng, Kai Zeng, Jiamin Huang, Shazia Sadiq, Nicholas Jing Yuan, Xiaofang Zhou
2014 — conf
ABS: a system for scalable approximate queries with accuracy guarantees.
SIGMOD Conference
Kai Zeng, Shi Gao, Jiaqi Gu, Barzan Mozafari, Carlo Zaniolo
2014 — —
Approximation and Search Optimization on Massive Data Bases and Data Streams.
Kai Zeng
2014 J jnl
STMaker - A System to Make Sense of Trajectory Data.
Proc. VLDB Endow.
Han Su, Kai Zheng, Kai Zeng, Jiamin Huang, Xiaofang Zhou
2014 — conf
The analytical bootstrap: a new method for fast error estimation in approximate query processing.
SIGMOD Conference
Kai Zeng, Shi Gao, Barzan Mozafari, Carlo Zaniolo
2013 J jnl
A Distributed Graph Engine for Web Scale RDF Data.
Proc. VLDB Endow.
Kai Zeng, Jiacheng Yang, Haixun Wang, Bin Shao, Zhongyuan Wang
2013 A* conf
Complex pattern matching in complex structures: The XSeq approach.
ICDE
Kai Zeng, Mohan Yang, Barzan Mozafari, Carlo Zaniolo
2013 J jnl
Graph Queries in a Next-Generation Datalog System.
Proc. VLDB Endow.
Alexander Shkapsky, Kai Zeng, Carlo Zaniolo
2013 J jnl
High-performance complex event processing over hierarchical data.
ACM Trans. Database Syst.
Barzan Mozafari, Kai Zeng, Loris D'Antoni, Carlo Zaniolo
2013 A* conf
Very fast estimation for result and accuracy of big data analytics: The EARL system.
ICDE
Nikolay Laptev, Kai Zeng, Carlo Zaniolo
2012 J jnl
Early Accurate Results for Advanced Analytics on MapReduce
CoRR
Nikolay Laptev, Kai Zeng, Carlo Zaniolo
2012 J jnl
Early Accurate Results for Advanced Analytics on MapReduce.
Proc. VLDB Endow.
Nikolay Laptev, Kai Zeng, Carlo Zaniolo
2012 — conf
High-performance complex event processing over XML streams.
SIGMOD Conference
Barzan Mozafari, Kai Zeng, Carlo Zaniolo
2010 J jnl
From Regular Expressions to Nested Words: Unifying Languages and Query Execution for Relational and XML Sequences.
Proc. VLDB Endow.
Barzan Mozafari, Kai Zeng, Carlo Zaniolo
2010 — conf
K*SQL: a unifying engine for sequence patterns and XML.
SIGMOD Conference
Barzan Mozafari, Kai Zeng, Carlo Zaniolo