Kai Zeng

According to our database, Kai Zeng authored at least 50 papers between 2010 and 2024.

Collaborative distances:

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

2024

Adversarial Graph Neural Network for Multivariate Time Series Anomaly Detection.

Bolong Zheng, Lingfeng Ming, Kai Zeng, Mengtao Zhou, Xinyong Zhang, Tao Ye, Bin Yang, Xiaofang Zhou, Christian S. Jensen

IEEE Trans. Knowl. Data Eng., December, 2024

2023

Tempura: a general cost-based optimizer framework for incremental data processing (Journal Version).

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

VLDB J., November, 2023

BASE: Bridging the Gap between Cost and Latency for Query Optimization.

Xu Chen, Zhen Wang, Shuncheng Liu, Yaliang Li, Kai Zeng, Bolin Ding, Jingren Zhou, Han Su, Kai Zheng

Proc. VLDB Endow., 2023

LEON: A New Framework for ML-Aided Query Optimization.

Xu Chen, Haitian Chen, Zibo Liang, Shuncheng Liu, Jinghong Wang, Kai Zeng, Han Su, Kai Zheng

Proc. VLDB Endow., 2023

Quiver: Supporting GPUs for Low-Latency, High-Throughput GNN Serving with Workload Awareness.

Zeyuan Tan, Xiulong Yuan, Congjie He, Man-Kit Sit, Guo Li, Xiaoze Liu, Baole Ai, Kai Zeng, Peter R. Pietzuch, Luo Mai

CoRR, 2023

Learned Index with Dynamic $\epsilon$.

Daoyuan Chen, Wuchao Li, Yaliang Li, Bolin Ding, Kai Zeng, Defu Lian, Jingren Zhou

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Efficient Cardinality and Cost Estimation with Bidirectional Compressor-based Ensemble Learning.

Zibo Liang, Xu Chen, Yan Zhao, Jiandong Xie, Kai Zeng, Kai Zheng

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Banyan: A Scoped Dataflow Engine for Graph Query Service.

Li Su, Xiaoming Qin, Zichao Zhang, Rui Yang, Le Xu, Indranil Gupta, Wenyuan Yu, Kai Zeng, Jingren Zhou

Proc. VLDB Endow., 2022

Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing.

Chenghao Lyu, Qi Fan, Fei Song, Arnab Sinha, Yanlei Diao, Wei Chen, Li Ma, Yihui Feng, Yaliang Li, Kai Zeng, Jingren Zhou

Proc. VLDB Endow., 2022

One Size Does Not Fit All: A Bandit-Based Sampler Combination Framework with Theoretical Guarantees.

Jinglin Peng, Bolin Ding, Jiannan Wang, Kai Zeng, Jingren Zhou

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

A Unified Transferable Model for ML-Enhanced DBMS.

Ziniu Wu, Pei Yu, Peilun Yang, Rong Zhu, Yuxing Han, Yaliang Li, Defu Lian, Kai Zeng, Jingren Zhou

Proceedings of the 12th Conference on Innovative Data Systems Research, 2022

2021

FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation.

Rong Zhu, Ziniu Wu, Yuxing Han, Kai Zeng, Andreas Pfadler, Zhengping Qian, Jingren Zhou, Bin Cui

Proc. VLDB Endow., 2021

Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation.

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

Proc. VLDB Endow., 2021

GraphScope: A Unified Engine For Big Graph Processing.

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

Proc. VLDB Endow., 2021

A Pluggable Learned Index Method via Sampling and Gap Insertion.

Yaliang Li, Daoyuan Chen, Bolin Ding, Kai Zeng, Jingren Zhou

CoRR, 2021

MicroRec: Efficient Recommendation Inference by Hardware and Data Structure Solutions.

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

Proceedings of the Fourth Conference on Machine Learning and Systems, 2021

Lane Change Scheduling for Autonomous Vehicle: A Prediction-and-Search Framework.

Shuncheng Liu, Han Su, Yan Zhao, Kai Zeng, Kai Zheng

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

FleetRec: Large-Scale Recommendation Inference on Hybrid GPU-FPGA Clusters.

Wenqi Jiang, Zhenhao He, Shuai Zhang, Kai Zeng, Liang Feng, Jiansong Zhang, Tongxuan Liu, Yong Li, Jingren Zhou, Ce Zhang, Gustavo Alonso

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

REPOSE: Distributed Top-k Trajectory Similarity Search with Local Reference Point Tries.

Bolong Zheng, Lianggui Weng, Xi Zhao, Kai Zeng, Xiaofang Zhou, Christian S. Jensen

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Distributed Recommendation Inference on FPGA Clusters.

Yu Zhu, Zhenhao He, Wenqi Jiang, Kai Zeng, Jingren Zhou, Gustavo Alonso

Proceedings of the 31st International Conference on Field-Programmable Logic and Applications, 2021

PATROL: A Velocity Control Framework for Autonomous Vehicle via Spatial-Temporal Reinforcement Learning.

Zhi Xu, Shuncheng Liu, Ziniu Wu, Xu Chen, Kai Zeng, Kai Zheng, Han Su

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

AutoML: From Methodology to Application.

Yaliang Li, Zhen Wang, Yuexiang Xie, Bolin Ding, Kai Zeng, Ce Zhang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Tempura: A General Cost-Based Optimizer Framework for Incremental Data Processing.

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

Proc. VLDB Endow., 2020

Alibaba Hologres: A Cloud-Native Service for Hybrid Serving/Analytical Processing.

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

Proc. VLDB Endow., 2020

Hybrid route recommendation with taxi and shared bicycles.

Hao Zhou, Yan Zhao, Junhua Fang, Xuanhao Chen, Kai Zeng

Distributed Parallel Databases, 2020

FSPN: A New Class of Probabilistic Graphical Model.

Ziniu Wu, Rong Zhu, Andreas Pfadler, Yuxing Han, Jiangneng Li, Zhengping Qian, Kai Zeng, Jingren Zhou

CoRR, 2020

MicroRec: Accelerating Deep Recommendation Systems to Microseconds by Hardware and Data Structure Solutions.

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

CoRR, 2020

Tempura: A General Cost Based Optimizer Framework for Incremental Data Processing (Extended Version).

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

CoRR, 2020

Grosbeak: A Data Warehouse Supporting Resource-Aware Incremental Computing.

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

Proceedings of the 2020 International Conference on Management of Data, 2020

DeepQT : Learning Sequential Context for Query Execution Time Prediction.

Jingxiong Ni, Yan Zhao, Kai Zeng, Han Su, Kai Zheng

Proceedings of the Database Systems for Advanced Applications, 2020

2018

Chi: A Scalable and Programmable Control Plane for Distributed Stream Processing Systems.

Luo Mai, Kai Zeng, Rahul Potharaju, Le Xu, Steve Suh, Shivaram Venkataraman, Paolo Costa, Terry Kim, Saravanam Muthukrishnan, Vamsi Kuppa, Sudheer Dhulipalla, Sriram Rao

Proc. VLDB Endow., 2018

2016

iOLAP: Managing Uncertainty for Efficient Incremental OLAP.

Kai Zeng, Sameer Agarwal, Ion Stoica

Proceedings of the 2016 International Conference on Management of Data, 2016

PerNav: A Route Summarization Framework for Personalized Navigation.

Yaguang Li, Han Su, Ugur Demiryurek, Bolong Zheng, Kai Zeng, Cyrus Shahabi

Proceedings of the 2016 International Conference on Management of Data, 2016

Extending Relational Query Languages for Data Streams.

Nikolay Laptev, Barzan Mozafari, Hamid Mousavi, Hetal Thakkar, Haixun Wang, Kai Zeng, Carlo Zaniolo

Proceedings of the Data Stream Management - Processing High-Speed Data Streams, 2016

2015

G-OLA: Generalized On-Line Aggregation for Interactive Analysis on Big Data.

Kai Zeng, Sameer Agarwal, Ankur Dave, Michael Armbrust, Ion Stoica

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

Making sense of trajectory data: A partition-and-summarization approach.

Han Su, Kai Zheng, Kai Zeng, Jiamin Huang, Shazia Wasim Sadiq, Nicholas Jing Yuan, Xiaofang Zhou

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

Groupwise analytics via adaptive MapReduce.

Liping Peng, Vuk Ercegovac, Kai Zeng, Peter J. Haas, Andrey Balmin, Yannis Sismanis

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

2014

Approximation and Search Optimization on Massive Data Bases and Data Streams.

Kai Zeng

PhD thesis, 2014

STMaker - A System to Make Sense of Trajectory Data.

Han Su, Kai Zheng, Kai Zeng, Jiamin Huang, Xiaofang Zhou

Proc. VLDB Endow., 2014

The analytical bootstrap: a new method for fast error estimation in approximate query processing.

Kai Zeng, Shi Gao, Barzan Mozafari, Carlo Zaniolo

Proceedings of the International Conference on Management of Data, 2014

ABS: a system for scalable approximate queries with accuracy guarantees.

Kai Zeng, Shi Gao, Jiaqi Gu, Barzan Mozafari, Carlo Zaniolo

Proceedings of the International Conference on Management of Data, 2014

2013

High-performance complex event processing over hierarchical data.

Barzan Mozafari, Kai Zeng, Loris D'Antoni, Carlo Zaniolo

ACM Trans. Database Syst., 2013

A Distributed Graph Engine for Web Scale RDF Data.

Kai Zeng, Jiacheng Yang, Haixun Wang, Bin Shao, Zhongyuan Wang

Proc. VLDB Endow., 2013

Graph Queries in a Next-Generation Datalog System.

Alexander Shkapsky, Kai Zeng, Carlo Zaniolo

Proc. VLDB Endow., 2013

Complex pattern matching in complex structures: The XSeq approach.

Kai Zeng, Mohan Yang, Barzan Mozafari, Carlo Zaniolo

Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

Very fast estimation for result and accuracy of big data analytics: The EARL system.

Nikolay Laptev, Kai Zeng, Carlo Zaniolo

Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

2012

Early Accurate Results for Advanced Analytics on MapReduce.

Nikolay Laptev, Kai Zeng, Carlo Zaniolo

Proc. VLDB Endow., 2012

High-performance complex event processing over XML streams.

Barzan Mozafari, Kai Zeng, Carlo Zaniolo

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

2010

From Regular Expressions to Nested Words: Unifying Languages and Query Execution for Relational and XML Sequences.

Barzan Mozafari, Kai Zeng, Carlo Zaniolo

Proc. VLDB Endow., 2010

K*SQL: a unifying engine for sequence patterns and XML.

Barzan Mozafari, Kai Zeng, Carlo Zaniolo

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010