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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
0.39513236
Overall Rank
97 | 99.56%
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 44 of 44 publications.

Rank Title Year Venue Pagerank
141 Relational Databases for Querying XML Documents: Limitations and Opportunities 1999 VLDB 0.00029294114
166 On Supporting Containment Queries in Relational Database Management Systems 2001 SIGMOD 0.00027254612
243 Automating Physical Database Design in a Parallel Database 2002 SIGMOD 0.00023358891
374 Storing and Querying Ordered XML Using a Relational Database System 2002 SIGMOD 0.00019707844
579 Incremental Knowledge Base Construction Using DeepDive 2015 VLDB 0.00016086569
654 Materialization Optimizations for Feature Selection Workloads 2014 SIGMOD 0.0001510357
894 Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms 2019 VLDB 0.00013212578
1,167 DimmWitted: A Study of Main-Memory Statistical Analytics 2014 VLDB 0.00011729888
1,784 System RX: One Part Relational, One Part XML 2005 SIGMOD 9.6511778e-05
1,847 Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions 2021 VLDB 9.5120573e-05
2,036 Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads 2018 VLDB 9.1520279e-05
2,184 Heterogeneity-aware Distributed Parameter Servers 2017 SIGMOD 8.8958335e-05
2,586 Brainwash: A Data System for Feature Engineering 2013 CIDR 8.2560072e-05
2,625 Statistical Learning Techniques for Costing XML Queries 2005 VLDB 8.2089383e-05
3,240 Towards Demystifying Serverless Machine Learning Training 2021 SIGMOD 7.5002772e-05
3,331 VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition 2021 VLDB 7.4166095e-05
3,486 HUNTER: An Online Cloud Database Hybrid Tuning System for Personalized Requirements 2022 SIGMOD 7.2636102e-05
3,524 MLog: Towards Declarative In-Database Machine Learning 2017 VLDB 7.2337006e-05
4,029 Towards High-Throughput Gibbs Sampling at Scale: A Study across Storage Managers 2013 SIGMOD 6.8419186e-05
4,393 Extracting Databases from Dark Data with DeepDive 2016 SIGMOD 6.620281e-05
4,751 xFraud: Explainable Fraud Transaction Detection 2022 VLDB 6.4353259e-05
4,879 Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-Precision Learning 2019 VLDB 6.3715334e-05
5,721 Federated Matrix Factorization with Privacy Guarantee 2022 VLDB 6.018334e-05
5,997 BAGUA: Scaling up Distributed Learning with System Relaxations 2022 VLDB 5.9198921e-05
6,246 ColumnML: Column-Store Machine Learning with On-The-Fly Data Transformation 2019 VLDB 5.8370793e-05
6,450 Towards General and Efficient Online Tuning for Spark 2023 VLDB 5.7817872e-05
6,458 In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle 2022 SIGMOD 5.7773842e-05
6,752 An Experimental Evaluation of SimRank-based Similarity Search Algorithms 2017 VLDB 5.6905975e-05
6,878 DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines 2022 CIDR 5.657878e-05
7,025 GeoDeepDive: Statistical Inference using Familiar Data-Processing Languages 2013 SIGMOD 5.6184467e-05
7,745 Ease.ml/ci and Ease.ml/meter in Action: Towards Data Management for Statistical Generalization 2019 VLDB 5.4606673e-05
7,868 WindTunnel: Towards Differentiable ML Pipelines Beyond a Single Model 2022 VLDB 5.4365239e-05
7,888 MLBench: Benchmarking Machine Learning Services Against Human Experts 2018 VLDB 5.4330038e-05
8,277 Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale 2022 VLDB 5.3639084e-05
8,411 SHiFT: An Efficient, Flexible Search Engine for Transfer Learning 2023 VLDB 5.336291e-05
9,438 Ease.ml in Action: Towards Multi-tenant Declarative Learning Services 2018 VLDB 5.1777033e-05
9,846 DimBoost: Boosting Gradient Boosting Decision Tree to Higher Dimensions 2018 SIGMOD 5.121318e-05
9,983 Opportunities for Data Management Research in the Era of Horizontal AI/ML 2019 VLDB 5.1010346e-05
11,818 Screening Native ML Pipelines with “ArgusEyes” 2022 CIDR 4.9793485e-05
11,936 Ease.ML: A Lifecycle Management System for MLDev and MLOps 2021 CIDR 4.9793485e-05
12,104 Ease.ml/snoopy in Action: Towards Automatic Feasibility Analysis for Machine Learning Application Development 2020 VLDB 4.9793485e-05
12,171 doppioDB 2.0: Hardware Techniques for Improved Integration of Machine Learning into Databases 2019 VLDB 4.9793485e-05
12,296 LDA*: A Robust and Large-scale Topic Modeling System 2017 VLDB 4.9793485e-05
12,710 Multiple Feature Fusion for Social Media Applications 2010 SIGMOD 4.9793485e-05
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Frequent Co-authors

Co-authored at least 5 papers.

Co-author Shared Papers Rank Pagerank
Wentao Wu 11 197 0.26349094
Bin Cui 9 36 0.63271572
Christopher Ré 7 63 0.50362508
Jiawei Jiang 7 445 0.14126124
Ji Liu 5 2,056 0.039381114
Bojan Karlaš 5 2,126 0.038451136
Cedric Renggli 5 2,292 0.036408435