Database Paper Browser

Back to authors

Chun Zhang

Author ID
875
ORCID
-
Links
(found by gpt-5.2 on feb 8th, 2026)
Most Frequent Institution
Swiss Federal Institute of Technology Zurich
Pagerank
0.38899732
Overall Rank
95 | 99.56%
Paper Count
43

Affiliation Timeline

Incoming Non-self Citations Over Time

Total yearly non-self incoming citations across all papers by this author.

Publications by Paper Pagerank

Showing 43 of 43 publications.

Rank Title Year Venue Pagerank
153 Relational Databases for Querying XML Documents: Limitations and Opportunities 1999 VLDB 0.00040784455
193 On Supporting Containment Queries in Relational Database Management Systems 2001 SIGMOD 0.00035610321
285 Automating Physical Database Design in a Parallel Database 2002 SIGMOD 0.0002899128
446 Storing and Querying Ordered XML Using a Relational Database System 2002 SIGMOD 0.00022925415
667 Incremental Knowledge Base Construction Using DeepDive 2015 VLDB 0.00018440557
761 Materialization Optimizations for Feature Selection Workloads 2014 SIGMOD 0.00017053783
1,044 DimmWitted: A Study of Main-Memory Statistical Analytics 2014 VLDB 0.00014475229
1,298 Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms 2019 VLDB 0.00012758104
1,391 Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads 2018 VLDB 0.0001223506
1,942 Heterogeneity-aware Distributed Parameter Servers 2017 SIGMOD 0.00010012691
2,069 System RX: One Part Relational, One Part XML 2005 SIGMOD 9.6329563e-05
2,302 Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions 2021 VLDB 9.0668832e-05
2,665 Statistical Learning Techniques for Costing XML Queries 2005 VLDB 8.3498101e-05
2,791 Towards Demystifying Serverless Machine Learning Training 2021 SIGMOD 8.1206618e-05
2,839 VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition 2021 VLDB 8.0378978e-05
2,915 Brainwash: A Data System for Feature Engineering 2013 CIDR 7.9078385e-05
3,600 xFraud: Explainable Fraud Transaction Detection 2022 VLDB 6.9315684e-05
3,958 MLog: Towards Declarative In-Database Machine Learning 2017 VLDB 6.5897636e-05
4,077 Towards High-Throughput Gibbs Sampling at Scale: A Study across Storage Managers 2013 SIGMOD 6.4678697e-05
4,106 Extracting Databases from Dark Data with DeepDive 2016 SIGMOD 6.4456184e-05
4,399 HUNTER: An Online Cloud Database Hybrid Tuning System for Personalized Requirements 2022 SIGMOD 6.2225151e-05
5,084 In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle 2022 SIGMOD 5.7091191e-05
5,123 Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-Precision Learning 2019 VLDB 5.6796998e-05
5,720 BAGUA: Scaling up Distributed Learning with System Relaxations 2022 VLDB 5.3527734e-05
5,775 Federated Matrix Factorization with Privacy Guarantee 2022 VLDB 5.3310992e-05
6,404 ColumnML: Column-Store Machine Learning with On-The-Fly Data Transformation 2019 VLDB 5.0786954e-05
6,722 GeoDeepDive: Statistical Inference using Familiar Data-Processing Languages 2013 SIGMOD 4.9491521e-05
6,789 An Experimental Evaluation of SimRank-based Similarity Search Algorithms 2017 VLDB 4.9251746e-05
6,871 Towards General and Efficient Online Tuning for Spark 2023 VLDB 4.8997004e-05
7,138 Ease.ml/ci and Ease.ml/meter in Action: Towards Data Management for Statistical Generalization 2019 VLDB 4.8216981e-05
7,306 DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines 2022 CIDR 4.7678574e-05
7,420 MLBench: Benchmarking Machine Learning Services Against Human Experts 2018 VLDB 4.7347751e-05
7,719 WindTunnel: Towards Differentiable ML Pipelines Beyond a Single Model 2022 VLDB 4.6686188e-05
8,182 SHiFT: An Efficient, Flexible Search Engine for Transfer Learning 2023 VLDB 4.5659133e-05
9,117 Ease.ml in Action: Towards Multi-tenant Declarative Learning Services 2018 VLDB 4.3928617e-05
9,192 Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale 2022 VLDB 4.3765131e-05
9,469 DimBoost: Boosting Gradient Boosting Decision Tree to Higher Dimensions 2018 SIGMOD 4.3342363e-05
9,637 Opportunities for Data Management Research in the Era of Horizontal AI/ML 2019 VLDB 4.3111161e-05
11,310 Screening Native ML Pipelines with “ArgusEyes” 2022 CIDR 4.1945683e-05
11,431 Ease.ML: A Lifecycle Management System for MLDev and MLOps 2021 CIDR 4.1945683e-05
11,607 Ease.ml/snoopy in Action: Towards Automatic Feasibility Analysis for Machine Learning Application Development 2020 VLDB 4.1945683e-05
11,676 doppioDB 2.0: Hardware Techniques for Improved Integration of Machine Learning into Databases 2019 VLDB 4.1945683e-05
11,795 LDA*: A Robust and Large-scale Topic Modeling System 2017 VLDB 4.1945683e-05
Previous Page 1 / 1 Next

Frequent Co-authors

Co-authored at least 5 papers.

Co-author Shared Papers Rank Pagerank
Wentao Wu 11 220 0.23170945
Bin Cui 8 39 0.57512049
Christopher Ré 7 60 0.50138748
Jiawei Jiang 7 646 0.096364619
Ji Liu 5 1,904 0.039176746
Bojan Karlaš 5 2,105 0.036046827
Cedric Renggli 5 2,239 0.034209968