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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
0.39504494
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 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 0.0002928095
166 On Supporting Containment Queries in Relational Database Management Systems 2001 SIGMOD 57 0.00027241844
243 Automating Physical Database Design in a Parallel Database 2002 SIGMOD 52 0.00023349603
374 Storing and Querying Ordered XML Using a Relational Database System 2002 SIGMOD 50 0.00019698564
579 Incremental Knowledge Base Construction Using DeepDive 2015 VLDB 44 0.00016083582
654 Materialization Optimizations for Feature Selection Workloads 2014 SIGMOD 46 0.00015096817
894 Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms 2019 VLDB 27 0.00013206323
1,167 DimmWitted: A Study of Main-Memory Statistical Analytics 2014 VLDB 25 0.0001172597
1,784 System RX: One Part Relational, One Part XML 2005 SIGMOD 25 9.6466168e-05
1,848 Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions 2021 VLDB 21 9.5075544e-05
2,040 Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads 2018 VLDB 16 9.1477132e-05
2,186 Heterogeneity-aware Distributed Parameter Servers 2017 SIGMOD 23 8.8916253e-05
2,587 Brainwash: A Data System for Feature Engineering 2013 CIDR 23 8.2523942e-05
2,625 Statistical Learning Techniques for Costing XML Queries 2005 VLDB 8 8.206615e-05
3,242 Towards Demystifying Serverless Machine Learning Training 2021 SIGMOD 9 7.4967268e-05
3,332 VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition 2021 VLDB 11 7.4130985e-05
3,487 HUNTER: An Online Cloud Database Hybrid Tuning System for Personalized Requirements 2022 SIGMOD 19 7.2603973e-05
3,524 MLog: Towards Declarative In-Database Machine Learning 2017 VLDB 12 7.2303094e-05
4,029 Towards High-Throughput Gibbs Sampling at Scale: A Study across Storage Managers 2013 SIGMOD 9 6.840359e-05
4,395 Extracting Databases from Dark Data with DeepDive 2016 SIGMOD 8 6.6175689e-05
4,754 xFraud: Explainable Fraud Transaction Detection 2022 VLDB 4 6.4322795e-05
4,881 Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-Precision Learning 2019 VLDB 10 6.368585e-05
5,722 Federated Matrix Factorization with Privacy Guarantee 2022 VLDB 6 6.015485e-05
5,999 BAGUA: Scaling up Distributed Learning with System Relaxations 2022 VLDB 4 5.9170896e-05
6,249 ColumnML: Column-Store Machine Learning with On-The-Fly Data Transformation 2019 VLDB 13 5.8343283e-05
6,453 Towards General and Efficient Online Tuning for Spark 2023 VLDB 7 5.7790502e-05
6,460 In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle 2022 SIGMOD 5 5.7746493e-05
6,757 An Experimental Evaluation of SimRank-based Similarity Search Algorithms 2017 VLDB 4 5.6879037e-05
6,883 DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines 2022 CIDR 6 5.6552024e-05
7,026 GeoDeepDive: Statistical Inference using Familiar Data-Processing Languages 2013 SIGMOD 2 5.6157971e-05
7,751 Ease.ml/ci and Ease.ml/meter in Action: Towards Data Management for Statistical Generalization 2019 VLDB 4 5.4580922e-05
7,873 WindTunnel: Towards Differentiable ML Pipelines Beyond a Single Model 2022 VLDB 4 5.4339503e-05
7,894 MLBench: Benchmarking Machine Learning Services Against Human Experts 2018 VLDB 3 5.4304318e-05
8,283 Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale 2022 VLDB 4 5.3613692e-05
8,418 SHiFT: An Efficient, Flexible Search Engine for Transfer Learning 2023 VLDB 2 5.3337649e-05
9,447 Ease.ml in Action: Towards Multi-tenant Declarative Learning Services 2018 VLDB 4 5.1752522e-05
9,853 DimBoost: Boosting Gradient Boosting Decision Tree to Higher Dimensions 2018 SIGMOD 8 5.1188938e-05
9,992 Opportunities for Data Management Research in the Era of Horizontal AI/ML 2019 VLDB 1 5.0986198e-05
11,824 Screening Native ML Pipelines with “ArgusEyes” 2022 CIDR 3 4.9769913e-05
11,942 Ease.ML: A Lifecycle Management System for MLDev and MLOps 2021 CIDR 0 4.9769913e-05
12,110 Ease.ml/snoopy in Action: Towards Automatic Feasibility Analysis for Machine Learning Application Development 2020 VLDB 1 4.9769913e-05
12,177 doppioDB 2.0: Hardware Techniques for Improved Integration of Machine Learning into Databases 2019 VLDB 1 4.9769913e-05
12,302 LDA*: A Robust and Large-scale Topic Modeling System 2017 VLDB 5 4.9769913e-05
12,716 Multiple Feature Fusion for Social Media Applications 2010 SIGMOD 0 4.9769913e-05

Frequent Co-authors

Co-authored at least 5 papers.

Co-author Shared Papers Rank Pagerank
Wentao Wu 11 197 0.26347611
Bin Cui 9 36 0.63258316
Christopher Ré 7 63 0.50355869
Jiawei Jiang 7 445 0.1412278
Ji Liu 5 2,058 0.039371801
Bojan Karlaš 5 2,129 0.038442041
Cedric Renggli 5 2,294 0.036399823