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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
0.38848524
Overall Rank
97 | 99.54%
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 0.00040759404
193 On Supporting Containment Queries in Relational Database Management Systems 2001 SIGMOD 0.00035591171
285 Automating Physical Database Design in a Parallel Database 2002 SIGMOD 0.00028978423
447 Storing and Querying Ordered XML Using a Relational Database System 2002 SIGMOD 0.00022927245
668 Incremental Knowledge Base Construction Using DeepDive 2015 VLDB 0.00018428925
758 Materialization Optimizations for Feature Selection Workloads 2014 SIGMOD 0.00017053915
1,044 DimmWitted: A Study of Main-Memory Statistical Analytics 2014 VLDB 0.00014465007
1,293 Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms 2019 VLDB 0.00012749902
1,393 Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads 2018 VLDB 0.00012223372
1,946 Heterogeneity-aware Distributed Parameter Servers 2017 SIGMOD 9.9983926e-05
2,066 System RX: One Part Relational, One Part XML 2005 SIGMOD 9.64571e-05
2,308 Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions 2021 VLDB 9.0634287e-05
2,667 Statistical Learning Techniques for Costing XML Queries 2005 VLDB 8.3444649e-05
2,795 Towards Demystifying Serverless Machine Learning Training 2021 SIGMOD 8.1135606e-05
2,845 VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition 2021 VLDB 8.0301674e-05
2,919 Brainwash: A Data System for Feature Engineering 2013 CIDR 7.9017482e-05
3,598 xFraud: Explainable Fraud Transaction Detection 2022 VLDB 6.932342e-05
3,961 MLog: Towards Declarative In-Database Machine Learning 2017 VLDB 6.5824022e-05
4,079 Towards High-Throughput Gibbs Sampling at Scale: A Study across Storage Managers 2013 SIGMOD 6.4621024e-05
4,105 Extracting Databases from Dark Data with DeepDive 2016 SIGMOD 6.4409563e-05
4,377 HUNTER: An Online Cloud Database Hybrid Tuning System for Personalized Requirements 2022 SIGMOD 6.2331947e-05
5,124 Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-Precision Learning 2019 VLDB 5.6747536e-05
5,730 BAGUA: Scaling up Distributed Learning with System Relaxations 2022 VLDB 5.3476346e-05
5,784 Federated Matrix Factorization with Privacy Guarantee 2022 VLDB 5.3259797e-05
6,400 ColumnML: Column-Store Machine Learning with On-The-Fly Data Transformation 2019 VLDB 5.0739311e-05
6,489 Towards General and Efficient Online Tuning for Spark 2023 VLDB 5.0373773e-05
6,573 In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle 2022 SIGMOD 5.0009513e-05
6,727 GeoDeepDive: Statistical Inference using Familiar Data-Processing Languages 2013 SIGMOD 4.9444508e-05
6,823 An Experimental Evaluation of SimRank-based Similarity Search Algorithms 2017 VLDB 4.9098643e-05
7,138 Ease.ml/ci and Ease.ml/meter in Action: Towards Data Management for Statistical Generalization 2019 VLDB 4.8164681e-05
7,303 DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines 2022 CIDR 4.7632836e-05
7,419 MLBench: Benchmarking Machine Learning Services Against Human Experts 2018 VLDB 4.7302312e-05
7,717 WindTunnel: Towards Differentiable ML Pipelines Beyond a Single Model 2022 VLDB 4.6641687e-05
8,183 SHiFT: An Efficient, Flexible Search Engine for Transfer Learning 2023 VLDB 4.5615358e-05
9,115 Ease.ml in Action: Towards Multi-tenant Declarative Learning Services 2018 VLDB 4.3886513e-05
9,196 Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale 2022 VLDB 4.3723457e-05
9,471 DimBoost: Boosting Gradient Boosting Decision Tree to Higher Dimensions 2018 SIGMOD 4.3300949e-05
9,636 Opportunities for Data Management Research in the Era of Horizontal AI/ML 2019 VLDB 4.3070106e-05
11,312 Screening Native ML Pipelines with “ArgusEyes” 2022 CIDR 4.1905499e-05
11,434 Ease.ML: A Lifecycle Management System for MLDev and MLOps 2021 CIDR 4.1905499e-05
11,611 Ease.ml/snoopy in Action: Towards Automatic Feasibility Analysis for Machine Learning Application Development 2020 VLDB 4.1905499e-05
11,681 doppioDB 2.0: Hardware Techniques for Improved Integration of Machine Learning into Databases 2019 VLDB 4.1905499e-05
11,803 LDA*: A Robust and Large-scale Topic Modeling System 2017 VLDB 4.1905499e-05
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Frequent Co-authors

Co-authored at least 5 papers.

Co-author Shared Papers Rank Pagerank
Wentao Wu 11 222 0.23115071
Bin Cui 8 39 0.57499304
Christopher Ré 7 62 0.50159228
Jiawei Jiang 7 457 0.1283657
Ji Liu 5 1,972 0.03867749
Bojan Karlaš 5 2,149 0.036031863
Cedric Renggli 5 2,327 0.033712624