Kai Zeng

Affiliations:
  • University of California, Berkeley, CA, USA
  • University of California, Los Angeles, USA


According to our database1, Kai Zeng authored at least 48 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2023
Tempura: a general cost-based optimizer framework for incremental data processing (Journal Version).
VLDB J., November, 2023

BASE: Bridging the Gap between Cost and Latency for Query Optimization.
Proc. VLDB Endow., 2023

LEON: A New Framework for ML-Aided Query Optimization.
Proc. VLDB Endow., 2023

Quiver: Supporting GPUs for Low-Latency, High-Throughput GNN Serving with Workload Awareness.
CoRR, 2023

Learned Index with Dynamic $\epsilon$.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Efficient Cardinality and Cost Estimation with Bidirectional Compressor-based Ensemble Learning.
Proceedings of the IEEE International Conference on Data Mining, 2023

2022
Banyan: A Scoped Dataflow Engine for Graph Query Service.
Proc. VLDB Endow., 2022

Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing.
Proc. VLDB Endow., 2022

One Size Does Not Fit All: A Bandit-Based Sampler Combination Framework with Theoretical Guarantees.
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.
Proceedings of the 12th Conference on Innovative Data Systems Research, 2022

2021
FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation.
Proc. VLDB Endow., 2021

Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation.
Proc. VLDB Endow., 2021

GraphScope: A Unified Engine For Big Graph Processing.
Proc. VLDB Endow., 2021

A Pluggable Learned Index Method via Sampling and Gap Insertion.
CoRR, 2021

MicroRec: Efficient Recommendation Inference by Hardware and Data Structure Solutions.
Proceedings of the Fourth Conference on Machine Learning and Systems, 2021

Lane Change Scheduling for Autonomous Vehicle: A Prediction-and-Search Framework.
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.
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.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Distributed Recommendation Inference on FPGA Clusters.
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.
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.
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.
Proc. VLDB Endow., 2020

Alibaba Hologres: A Cloud-Native Service for Hybrid Serving/Analytical Processing.
Proc. VLDB Endow., 2020

Hybrid route recommendation with taxi and shared bicycles.
Distributed Parallel Databases, 2020

MicroRec: Accelerating Deep Recommendation Systems to Microseconds by Hardware and Data Structure Solutions.
CoRR, 2020

Tempura: A General Cost Based Optimizer Framework for Incremental Data Processing (Extended Version).
CoRR, 2020

Grosbeak: A Data Warehouse Supporting Resource-Aware Incremental Computing.
Proceedings of the 2020 International Conference on Management of Data, 2020

DeepQT : Learning Sequential Context for Query Execution Time Prediction.
Proceedings of the Database Systems for Advanced Applications, 2020

2018
Chi: A Scalable and Programmable Control Plane for Distributed Stream Processing Systems.
Proc. VLDB Endow., 2018

2016
iOLAP: Managing Uncertainty for Efficient Incremental OLAP.
Proceedings of the 2016 International Conference on Management of Data, 2016

PerNav: A Route Summarization Framework for Personalized Navigation.
Proceedings of the 2016 International Conference on Management of Data, 2016

Extending Relational Query Languages for Data Streams.
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.
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.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

Groupwise analytics via adaptive MapReduce.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

2014
Approximation and Search Optimization on Massive Data Bases and Data Streams.
PhD thesis, 2014

STMaker - A System to Make Sense of Trajectory Data.
Proc. VLDB Endow., 2014

The analytical bootstrap: a new method for fast error estimation in approximate query processing.
Proceedings of the International Conference on Management of Data, 2014

ABS: a system for scalable approximate queries with accuracy guarantees.
Proceedings of the International Conference on Management of Data, 2014

2013
High-performance complex event processing over hierarchical data.
ACM Trans. Database Syst., 2013

A Distributed Graph Engine for Web Scale RDF Data.
Proc. VLDB Endow., 2013

Graph Queries in a Next-Generation Datalog System.
Proc. VLDB Endow., 2013

Complex pattern matching in complex structures: The XSeq approach.
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.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

2012
Early Accurate Results for Advanced Analytics on MapReduce.
Proc. VLDB Endow., 2012

High-performance complex event processing over XML streams.
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.
Proc. VLDB Endow., 2010

K*SQL: a unifying engine for sequence patterns and XML.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010


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