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Chun Zhang

Author ID
u875
ORCID
-
Links
(found by gpt-5.6-luna on jul 26 2026)
Most Frequent Institution
ETH Zurich
Pagerank
0.39476011
Overall Rank
98 | 99.55%
Paper Count
44

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 all 44 publications. Total citations include self and non-self citations.

Rank Title Year Venue Total Citations Pagerank
141 Relational Databases for Querying XML Documents: Limitations and Opportunities 1999 VLDB 57 0.00029191386
167 On Supporting Containment Queries in Relational Database Management Systems 2001 SIGMOD 57 0.00027156235
243 Automating Physical Database Design in a Parallel Database 2002 SIGMOD 52 0.00023296011
377 Storing and Querying Ordered XML Using a Relational Database System 2002 SIGMOD 50 0.00019634591
569 Incremental Knowledge Base Construction Using DeepDive 2015 VLDB 45 0.00016212139
656 Materialization Optimizations for Feature Selection Workloads 2014 SIGMOD 46 0.00015052106
897 Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms 2019 VLDB 27 0.00013162662
1,169 DimmWitted: A Study of Main-Memory Statistical Analytics 2014 VLDB 25 0.00011690039
1,744 Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions 2021 VLDB 22 9.7253583e-05
1,793 System RX: One Part Relational, One Part XML 2005 SIGMOD 25 9.6149082e-05
2,031 Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads 2018 VLDB 16 9.1414653e-05
2,196 Heterogeneity-aware Distributed Parameter Servers 2017 SIGMOD 23 8.8807201e-05
2,596 Brainwash: A Data System for Feature Engineering 2013 CIDR 23 8.2258492e-05
2,614 Statistical Learning Techniques for Costing XML Queries 2005 VLDB 8 8.2023561e-05
3,256 Towards Demystifying Serverless Machine Learning Training 2021 SIGMOD 9 7.4732677e-05
3,340 VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition 2021 VLDB 11 7.3886578e-05
3,486 HUNTER: An Online Cloud Database Hybrid Tuning System for Personalized Requirements 2022 SIGMOD 19 7.2428834e-05
3,520 MLog: Towards Declarative In-Database Machine Learning 2017 VLDB 12 7.2180592e-05
4,046 Towards High-Throughput Gibbs Sampling at Scale: A Study across Storage Managers 2013 SIGMOD 9 6.8182709e-05
4,403 Extracting Databases from Dark Data with DeepDive 2016 SIGMOD 8 6.6033854e-05
4,772 xFraud: Explainable Fraud Transaction Detection 2022 VLDB 4 6.4110103e-05
4,891 Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-Precision Learning 2019 VLDB 10 6.3508222e-05
5,736 Federated Matrix Factorization with Privacy Guarantee 2022 VLDB 6 5.995594e-05
6,011 BAGUA: Scaling up Distributed Learning with System Relaxations 2022 VLDB 4 5.8975241e-05
6,259 ColumnML: Column-Store Machine Learning with On-The-Fly Data Transformation 2019 VLDB 13 5.815406e-05
6,464 Towards General and Efficient Online Tuning for Spark 2023 VLDB 7 5.759941e-05
6,474 In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle 2022 SIGMOD 5 5.7555547e-05
6,776 An Experimental Evaluation of SimRank-based Similarity Search Algorithms 2017 VLDB 4 5.6690965e-05
6,902 DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines 2022 CIDR 6 5.6365602e-05
7,047 GeoDeepDive: Statistical Inference using Familiar Data-Processing Languages 2013 SIGMOD 2 5.5973924e-05
7,227 WindTunnel: Towards Differentiable ML Pipelines Beyond a Single Model 2022 VLDB 5 5.5647576e-05
7,765 Ease.ml/ci and Ease.ml/meter in Action: Towards Data Management for Statistical Generalization 2019 VLDB 4 5.4400458e-05
7,911 MLBench: Benchmarking Machine Learning Services Against Human Experts 2018 VLDB 3 5.4124754e-05
8,298 Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale 2022 VLDB 4 5.3437127e-05
8,435 SHiFT: An Efficient, Flexible Search Engine for Transfer Learning 2023 VLDB 2 5.3161281e-05
9,474 Ease.ml in Action: Towards Multi-tenant Declarative Learning Services 2018 VLDB 4 5.1581396e-05
9,889 DimBoost: Boosting Gradient Boosting Decision Tree to Higher Dimensions 2018 SIGMOD 8 5.1020145e-05
10,027 Opportunities for Data Management Research in the Era of Horizontal AI/ML 2019 VLDB 1 5.0817642e-05
11,868 Screening Native ML Pipelines with “ArgusEyes” 2022 CIDR 3 4.9605343e-05
11,986 Ease.ML: A Lifecycle Management System for MLDev and MLOps 2021 CIDR 0 4.9605343e-05
12,154 Ease.ml/snoopy in Action: Towards Automatic Feasibility Analysis for Machine Learning Application Development 2020 VLDB 1 4.9605343e-05
12,220 doppioDB 2.0: Hardware Techniques for Improved Integration of Machine Learning into Databases 2019 VLDB 1 4.9605343e-05
12,345 LDA*: A Robust and Large-scale Topic Modeling System 2017 VLDB 5 4.9605343e-05
12,759 Multiple Feature Fusion for Social Media Applications 2010 SIGMOD 0 4.9605343e-05

Frequent Co-authors

Co-authored at least 5 papers.

Co-author Shared Papers Rank Pagerank
Wentao Wu 11 198 0.26327851
Bin Cui 9 34 0.63906194
Christopher Ré 7 62 0.50335594
Jiawei Jiang 7 446 0.14127966
Ji Liu 5 2,064 0.039319261
Bojan Karlaš 5 2,118 0.038505621
Cedric Renggli 5 2,303 0.036339594