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Chun Zhang

Author ID
875
ORCID
-
Links
(found by gpt-5.6-luna on jul 26 2026)
Most Frequent Institution
ETH Zurich
Pagerank
0.39794411
Overall Rank
95 | 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 44 of 44 publications.

Rank Title Year Venue Pagerank
137 Relational Databases for Querying XML Documents: Limitations and Opportunities 1999 VLDB 0.00029877792
163 On Supporting Containment Queries in Relational Database Management Systems 2001 SIGMOD 0.00027839792
246 Automating Physical Database Design in a Parallel Database 2002 SIGMOD 0.00023457421
362 Storing and Querying Ordered XML Using a Relational Database System 2002 SIGMOD 0.00020125068
579 Incremental Knowledge Base Construction Using DeepDive 2015 VLDB 0.00016217563
640 Materialization Optimizations for Feature Selection Workloads 2014 SIGMOD 0.00015409494
1,066 Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms 2019 VLDB 0.00012333161
1,150 DimmWitted: A Study of Main-Memory Statistical Analytics 2014 VLDB 0.00011943462
1,744 System RX: One Part Relational, One Part XML 2005 SIGMOD 9.868841e-05
2,029 Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads 2018 VLDB 9.2843642e-05
2,147 Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions 2021 VLDB 9.0831495e-05
2,162 Heterogeneity-aware Distributed Parameter Servers 2017 SIGMOD 9.0581831e-05
2,589 Statistical Learning Techniques for Costing XML Queries 2005 VLDB 8.371643e-05
2,604 Brainwash: A Data System for Feature Engineering 2013 CIDR 8.3524514e-05
3,169 Towards Demystifying Serverless Machine Learning Training 2021 SIGMOD 7.6715222e-05
3,272 VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition 2021 VLDB 7.5775321e-05
3,490 MLog: Towards Declarative In-Database Machine Learning 2017 VLDB 7.3667971e-05
3,587 HUNTER: An Online Cloud Database Hybrid Tuning System for Personalized Requirements 2022 SIGMOD 7.2829345e-05
3,952 Towards High-Throughput Gibbs Sampling at Scale: A Study across Storage Managers 2013 SIGMOD 6.9967272e-05
4,410 Extracting Databases from Dark Data with DeepDive 2016 SIGMOD 6.717496e-05
4,666 xFraud: Explainable Fraud Transaction Detection 2022 VLDB 6.577136e-05
4,798 Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-Precision Learning 2019 VLDB 6.5024772e-05
5,588 Federated Matrix Factorization with Privacy Guarantee 2022 VLDB 6.1564686e-05
5,876 BAGUA: Scaling up Distributed Learning with System Relaxations 2022 VLDB 6.0557672e-05
6,143 ColumnML: Column-Store Machine Learning with On-The-Fly Data Transformation 2019 VLDB 5.9622615e-05
6,339 In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle 2022 SIGMOD 5.907165e-05
6,344 Towards General and Efficient Online Tuning for Spark 2023 VLDB 5.9060457e-05
6,634 An Experimental Evaluation of SimRank-based Similarity Search Algorithms 2017 VLDB 5.8182573e-05
6,881 GeoDeepDive: Statistical Inference using Familiar Data-Processing Languages 2013 SIGMOD 5.7469874e-05
7,160 DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines 2022 CIDR 5.6855887e-05
7,609 Ease.ml/ci and Ease.ml/meter in Action: Towards Data Management for Statistical Generalization 2019 VLDB 5.5841767e-05
7,746 WindTunnel: Towards Differentiable ML Pipelines Beyond a Single Model 2022 VLDB 5.5531058e-05
7,763 MLBench: Benchmarking Machine Learning Services Against Human Experts 2018 VLDB 5.5500928e-05
8,244 SHiFT: An Efficient, Flexible Search Engine for Transfer Learning 2023 VLDB 5.4587712e-05
9,265 Ease.ml in Action: Towards Multi-tenant Declarative Learning Services 2018 VLDB 5.2965435e-05
9,290 Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale 2022 VLDB 5.2910774e-05
9,672 DimBoost: Boosting Gradient Boosting Decision Tree to Higher Dimensions 2018 SIGMOD 5.2386185e-05
9,799 Opportunities for Data Management Research in the Era of Horizontal AI/ML 2019 VLDB 5.2181013e-05
11,509 Screening Native ML Pipelines with “ArgusEyes” 2022 CIDR 5.093636e-05
11,629 Ease.ML: A Lifecycle Management System for MLDev and MLOps 2021 CIDR 5.093636e-05
11,802 Ease.ml/snoopy in Action: Towards Automatic Feasibility Analysis for Machine Learning Application Development 2020 VLDB 5.093636e-05
11,871 doppioDB 2.0: Hardware Techniques for Improved Integration of Machine Learning into Databases 2019 VLDB 5.093636e-05
11,999 LDA*: A Robust and Large-scale Topic Modeling System 2017 VLDB 5.093636e-05
12,419 Multiple Feature Fusion for Social Media Applications 2010 SIGMOD 5.093636e-05
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Frequent Co-authors

Co-authored at least 5 papers.

Co-author Shared Papers Rank Pagerank
Wentao Wu 11 212 0.25100912
Bin Cui 9 38 0.61587613
Christopher Ré 7 63 0.50506981
Jiawei Jiang 7 435 0.14268204
Ji Liu 5 2,017 0.039654945
Bojan Karlaš 5 2,099 0.038554969
Cedric Renggli 5 2,244 0.036820836