| 9,651 |
How Can We Train Deep Learning Models Across Clouds and Continents? An Experimental Study
|
2024 |
VLDB |
5.1453267e-05 |
| 9,687 |
DPDPU: Data Processing with DPUs
|
2025 |
CIDR |
5.1408809e-05 |
| 9,741 |
LES3: Learning-based Exact Set Similarity Search
|
2021 |
VLDB |
5.1349531e-05 |
| 9,761 |
Approximate Joins: Concepts and Techniques
|
2005 |
VLDB |
5.1349531e-05 |
| 9,882 |
PNUTS to Sherpa: Lessons from Yahoo!’s Cloud Database
|
2019 |
VLDB |
5.117064e-05 |
| 10,210 |
Blocker and Matcher Can Mutually Benefit: A Co-Learning Framework for Low-Resource Entity Resolution
|
2024 |
VLDB |
5.0596605e-05 |
| 10,308 |
Fast Approximate Computation of Statistics on Views
|
2006 |
SIGMOD |
5.0400722e-05 |
| 10,329 |
Distributed Stream KNN Join
|
2021 |
SIGMOD |
5.0333462e-05 |
| 10,389 |
Weighted Fourier Factorizations: Optimal Gaussian Noise for Differentially Private Marginal and Product Queries
|
2026 |
PODS |
4.9793485e-05 |
| 10,450 |
Epoch-based Optimistic Concurrency Control in Geo-replicated Databases
|
2026 |
SIGMOD |
4.9793485e-05 |
| 10,507 |
Sublime: Sublinear Error & Space for Unbounded Skewed Streams
|
2026 |
SIGMOD |
4.9793485e-05 |
| 10,515 |
Understanding the Impact of Data Noise in Federated Learning: [Experiments & Analysis]
|
2026 |
SIGMOD |
4.9793485e-05 |
| 10,518 |
Zeno Filter: To Infinity in Tiny Steps
|
2026 |
SIGMOD |
4.9793485e-05 |
| 10,615 |
Aeris Filter: A Strongly and Monotonically Adaptive Range Filter
|
2026 |
SIGMOD |
4.9793485e-05 |
| 10,785 |
MGI: A Communication Framework for Data Processing in Massive GPU Infrastructures
|
2026 |
VLDB |
4.9793485e-05 |
| 10,807 |
dpKernels: Harvesting DPU Compute Resources for Data-path Efficiency in Cloud Data Processing
|
2026 |
VLDB |
4.9793485e-05 |
| 10,815 |
CRAFT: Corpus Relatedness Analysis Using Fourier Transforms
|
2026 |
VLDB |
4.9793485e-05 |
| 10,862 |
Fugue: Online Elasticity for Distributed Stateful Stream Processing
|
2026 |
VLDB |
4.9793485e-05 |
| 10,871 |
Efficient GPU-Accelerated Adaptive Minimum Cost Seed Selection
|
2026 |
VLDB |
4.9793485e-05 |
| 10,878 |
Can we trust LLM Self-Explanations for Entity Resolution?
|
2026 |
VLDB |
4.9793485e-05 |
| 10,882 |
Efficient GPU-Accelerated Local Subgraph Counting
|
2026 |
VLDB |
4.9793485e-05 |
| 10,912 |
Tuning the Lookahead Distance for PostgreSQL Asynchronous IO
|
2026 |
VLDB |
4.9793485e-05 |
| 11,030 |
How Can Quantum Computing and Databases Meet "in Practice"? From Algorithms to Systems
|
2026 |
VLDB |
4.9793485e-05 |
| 11,098 |
Towards Practical FPRAS for #NFA: Exploiting the Power of Dependence
|
2025 |
PODS |
4.9793485e-05 |
| 11,160 |
RTS+: Reliable Text to SQL
|
2025 |
SIGMOD |
4.9793485e-05 |
| 11,218 |
WeShap: Weak Supervision Source Evaluation with Shapley Values
|
2025 |
VLDB |
4.9793485e-05 |
| 11,230 |
Cabinet: Dynamically Weighted Consensus Made Fast
|
2025 |
VLDB |
4.9793485e-05 |
| 11,273 |
Asymmetric Linearizable Local Reads
|
2025 |
VLDB |
4.9793485e-05 |
| 11,320 |
Making CRDTs Not So Eventual
|
2025 |
VLDB |
4.9793485e-05 |
| 11,349 |
Environmental Footprints of Query Processing: A Vision for Sustainable Database Architectures
|
2025 |
VLDB |
4.9793485e-05 |
| 11,439 |
How Reliable Are Streams? End-to-End Processing-Guarantee Validation and Performance Benchmarking of Stream Processing Systems
|
2025 |
VLDB |
4.9793485e-05 |
| 11,487 |
A faster FPRAS for #NFA
|
2024 |
PODS |
4.9793485e-05 |
| 11,529 |
Unstructured Data Fusion for Schema and Data Extraction
|
2024 |
SIGMOD |
4.9793485e-05 |
| 11,596 |
Optimizing Video Queries with Declarative Clues
|
2024 |
VLDB |
4.9793485e-05 |
| 11,676 |
Templating Shuffles
|
2023 |
CIDR |
4.9793485e-05 |
| 11,697 |
How To Optimize My Blockchain? A Multi-Level Recommendation Approach
|
2023 |
SIGMOD |
4.9793485e-05 |
| 11,845 |
AutoMon: Automatic Distributed Monitoring for Arbitrary Multivariate Functions
|
2022 |
SIGMOD |
4.9793485e-05 |
| 11,849 |
FILA: Online Auditing of Machine Learning Model Accuracy under Finite Labelling Budget
|
2022 |
SIGMOD |
4.9793485e-05 |
| 11,906 |
CERTEM: Explaining and Debugging Black-box Entity Resolution Systems with CERTA
|
2022 |
VLDB |
4.9793485e-05 |
| 11,988 |
Shahin: Faster Algorithms for Generating Explanations for Multiple Predictions
|
2021 |
SIGMOD |
4.9793485e-05 |
| 12,150 |
Top-k Queries over Digital Traces
|
2019 |
SIGMOD |
4.9793485e-05 |
| 12,337 |
BART in Action: Error Generation and Empirical Evaluations of Data-Cleaning Systems
|
2016 |
SIGMOD |
4.9793485e-05 |
| 12,432 |
Gain Control over your Integration Evaluations
|
2015 |
VLDB |
4.9793485e-05 |
| 12,436 |
S+EPPs: Construct and Explore Bisimulation Summaries, plus Optimize Navigational Queries; all on Existing SPARQL Systems
|
2015 |
VLDB |
4.9793485e-05 |
| 12,476 |
DGFIndex for Smart Grid: Enhancing Hive with a Cost-Effective Multidimensional Range Index
|
2014 |
VLDB |
4.9793485e-05 |
| 12,741 |
Peer coordination through distributed triggers
|
2010 |
VLDB |
4.9793485e-05 |
| 12,753 |
An Access Cost-Aware Approach for Object Retrieval over Multiple Sources
|
2010 |
VLDB |
4.9793485e-05 |
| 12,791 |
Optimizing I/O-Intensive Transactions in Highly Interactive Applications
|
2009 |
SIGMOD |
4.9793485e-05 |
| 12,805 |
Linkage Query Writer
|
2009 |
VLDB |
4.9793485e-05 |
| 12,827 |
Distribution-based Microdata Anonymization
|
2009 |
VLDB |
4.9793485e-05 |