| 983 |
Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation |
2022 |
VLDB |
80 |
0.00012677179 |
| 1,046 |
Parallel Subgraph Listing in a Large-Scale Graph |
2014 |
SIGMOD |
32 |
0.00012315969 |
| 1,903 |
Cold Filter: A Meta-Framework for Faster and More Accurate Stream Processing |
2018 |
SIGMOD |
19 |
9.383454e-05 |
| 2,009 |
FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation |
2021 |
VLDB |
51 |
9.1813272e-05 |
| 2,020 |
VF2Boost: Very Fast Vertical Federated Gradient Boosting for Cross-Enterprise Learning |
2021 |
SIGMOD |
14 |
9.1641863e-05 |
| 2,196 |
Heterogeneity-aware Distributed Parameter Servers |
2017 |
SIGMOD |
23 |
8.8807201e-05 |
| 2,525 |
HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework |
2022 |
VLDB |
22 |
8.3302991e-05 |
| 2,572 |
ResTune: Resource Oriented Tuning Boosted by Meta-Learning for Cloud Databases |
2021 |
SIGMOD |
39 |
8.2581875e-05 |
| 2,720 |
Exploiting Matrix Dependency for Efficient Distributed Matrix Computation |
2015 |
SIGMOD |
12 |
8.0778267e-05 |
| 2,779 |
Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation |
2022 |
VLDB |
34 |
8.0085666e-05 |
| 3,324 |
BlindFL: Vertical Federated Machine Learning without Peeking into Your Data |
2022 |
SIGMOD |
10 |
7.4111459e-05 |
| 3,340 |
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition |
2021 |
VLDB |
11 |
7.3886578e-05 |
| 3,520 |
MLog: Towards Declarative In-Database Machine Learning |
2017 |
VLDB |
12 |
7.2180592e-05 |
| 3,878 |
Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization |
2021 |
VLDB |
8 |
6.9334452e-05 |
| 3,887 |
SketchML: Accelerating Distributed Machine Learning with Data Sketches |
2018 |
SIGMOD |
15 |
6.9277708e-05 |
| 3,972 |
PQCache: Product Quantization-based KVCache for Long Context LLM Inference |
2025 |
SIGMOD |
8 |
6.8744954e-05 |
| 3,996 |
BurstSketch: Finding Bursts in Data Streams |
2021 |
SIGMOD |
8 |
6.8528809e-05 |
| 4,101 |
Towards Dynamic and Safe Configuration Tuning for Cloud Databases |
2022 |
SIGMOD |
23 |
6.7930727e-05 |
| 4,320 |
An Efficient Similarity Search Framework for SimRank over Large Dynamic Graphs |
2015 |
VLDB |
10 |
6.6519974e-05 |
| 4,356 |
Challenging the Long Tail Recommendation |
2012 |
VLDB |
8 |
6.630005e-05 |
| 4,560 |
LogGP: A Log-based Dynamic Graph Partitioning Method |
2014 |
VLDB |
4 |
6.523673e-05 |
| 4,647 |
TencentRec: Real-time Stream Recommendation in Practice |
2015 |
SIGMOD |
7 |
6.4724938e-05 |
| 4,685 |
Supporting Frequent Updates in R-Trees: A Bottom-Up Approach |
2003 |
VLDB |
10 |
6.4533027e-05 |
| 4,731 |
Efficient Cohesive Subgraphs Detection in Parallel |
2014 |
SIGMOD |
7 |
6.4313179e-05 |
| 4,800 |
Tornado: A System For Real-Time Iterative Analysis Over Evolving Data |
2016 |
SIGMOD |
9 |
6.3942642e-05 |
| 4,961 |
Heterogeneity-Aware Distributed Machine Learning Training via Partial Reduce |
2021 |
SIGMOD |
14 |
6.3246342e-05 |
| 4,974 |
HET-GMP: A Graph-based System Approach to Scaling Large Embedding Model Training |
2022 |
SIGMOD |
12 |
6.3196773e-05 |
| 5,011 |
Galvatron: Efficient Transformer Training over Multiple GPUs Using Automatic Parallelism |
2023 |
VLDB |
15 |
6.3030066e-05 |
| 5,098 |
DBPA: A Benchmark for Transactional Database Performance Anomalies |
2023 |
SIGMOD |
4 |
6.2631174e-05 |
| 5,304 |
An Efficient Transfer Learning Based Configuration Adviser for Database Tuning |
2024 |
VLDB |
15 |
6.1758143e-05 |
| 5,454 |
PS2: Parameter Server on Spark |
2019 |
SIGMOD |
8 |
6.1077156e-05 |
| 5,534 |
SiriusBI: A Comprehensive LLM-Powered Solution for Data Analytics in Business Intelligence |
2025 |
VLDB |
2 |
6.0766545e-05 |
| 5,738 |
An Experimental Evaluation of Large Scale GBDT Systems |
2019 |
VLDB |
8 |
5.9951855e-05 |
| 5,956 |
Operation-Aware Buffer Management in Flash-based Systems |
2011 |
SIGMOD |
4 |
5.9167319e-05 |
| 6,315 |
Memory-Aware Framework for Efficient Second-Order Random Walk on Large Graphs |
2020 |
SIGMOD |
5 |
5.7968933e-05 |
| 6,464 |
Towards General and Efficient Online Tuning for Spark |
2023 |
VLDB |
7 |
5.759941e-05 |
| 6,478 |
ALG: Fast and Accurate Active Learning Framework for Graph Convolutional Networks |
2021 |
SIGMOD |
6 |
5.7547004e-05 |
| 6,693 |
Reliable Data Distillation on Graph Convolutional Network |
2020 |
SIGMOD |
9 |
5.6909845e-05 |
| 6,752 |
A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning |
2023 |
SIGMOD |
6 |
5.6733557e-05 |
| 6,776 |
An Experimental Evaluation of SimRank-based Similarity Search Algorithms |
2017 |
VLDB |
4 |
5.6690965e-05 |
| 6,862 |
Towards Unified Ad-hoc Data Processing |
2014 |
SIGMOD |
2 |
5.6458401e-05 |
| 6,875 |
OUTRE: An OUT-of-core De-REdundancy GNN Training Framework for Massive Graphs within A Single Machine |
2024 |
VLDB |
3 |
5.6433573e-05 |
| 7,204 |
On-Off Sketch: A Fast and Accurate Sketch on Persistence |
2021 |
VLDB |
3 |
5.5717429e-05 |
| 7,279 |
An I/O-Efficient Disk-based Graph System for Scalable Second-Order Random Walk of Large Graphs |
2022 |
VLDB |
3 |
5.551099e-05 |
| 7,553 |
Effective Variation Management for Pseudo Periodical Streams |
2007 |
SIGMOD |
1 |
5.48019e-05 |
| 7,657 |
Stingy Sketch: A Sketch Framework for Accurate and Fast Frequency Estimation |
2022 |
VLDB |
6 |
5.456693e-05 |
| 7,895 |
Double-Anonymous Sketch: Achieving Top-K-fairness for Finding Global Top-K Frequent Items |
2023 |
SIGMOD |
3 |
5.4152499e-05 |
| 8,040 |
LadderFilter: Filtering Infrequent Items with Small Memory and Time Overhead |
2023 |
SIGMOD |
3 |
5.3857229e-05 |
| 8,060 |
JoinSketch: A Sketch Algorithm for Accurate and Unbiased Inner-Product Estimation |
2023 |
SIGMOD |
4 |
5.382134e-05 |
| 8,201 |
Towards Designing and Learning Piecewise Space-Filling Curves |
2023 |
VLDB |
5 |
5.3623066e-05 |
| 8,220 |
Angel-PTM: A Scalable and Economical Large-scale Pre-training System in Tencent |
2023 |
VLDB |
5 |
5.3591486e-05 |
| 8,228 |
SDP_PIPE: A Semi-Decentralized Framework for Heterogeneity-aware Pipeline-parallel Training |
2023 |
VLDB |
3 |
5.3581744e-05 |
| 8,298 |
Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale |
2022 |
VLDB |
4 |
5.3437127e-05 |
| 8,499 |
TreeSensing: Linearly Compressing Sketches with Flexibility |
2023 |
SIGMOD |
3 |
5.3131213e-05 |
| 8,563 |
Hunting Temporal Bumps in Graphs with Dynamic Vertex Properties |
2022 |
SIGMOD |
2 |
5.3002237e-05 |
| 8,628 |
Scapin: Scalable Graph Structure Perturbation by Augmented Influence Maximization |
2023 |
SIGMOD |
3 |
5.2848769e-05 |
| 8,720 |
Finding Group Steiner Trees in Graphs with both Vertex and Edge Weights |
2021 |
VLDB |
3 |
5.2705676e-05 |
| 8,730 |
Community Level Diffusion Extraction |
2015 |
SIGMOD |
1 |
5.2705676e-05 |
| 8,833 |
FlexMoE: Scaling Large-scale Sparse Pre-trained Model Training via Dynamic Device Placement |
2023 |
SIGMOD |
5 |
5.2528075e-05 |
| 8,939 |
A Temporal Context-Aware Model for User Behavior Modeling in Social Media Systems |
2014 |
SIGMOD |
3 |
5.2361195e-05 |
| 8,955 |
Contorting High Dimensional Data for Efficient Main Memory KNN Processing |
2003 |
SIGMOD |
1 |
5.2361195e-05 |
| 9,737 |
Experimental Analysis of Large-scale Learnable Vector Storage Compression |
2024 |
VLDB |
4 |
5.1187805e-05 |
| 9,771 |
CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models |
2024 |
SIGMOD |
2 |
5.115551e-05 |
| 9,889 |
DimBoost: Boosting Gradient Boosting Decision Tree to Higher Dimensions |
2018 |
SIGMOD |
8 |
5.1020145e-05 |
| 10,016 |
MEMO: Fine-grained Tensor Management For Ultra-long Context LLM Training |
2025 |
SIGMOD |
2 |
5.0825892e-05 |
| 10,114 |
TeRec: A Temporal Recommender System Over Tweet Stream |
2013 |
VLDB |
3 |
5.0658135e-05 |
| 10,123 |
ContTune: Continuous Tuning by Conservative Bayesian Optimization for Distributed Stream Data Processing Systems |
2023 |
VLDB |
2 |
5.0638787e-05 |
| 10,376 |
Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local Updates |
2022 |
VLDB |
4 |
4.9979062e-05 |
| 10,410 |
StaleFlow: Staleness-Aware Data Management for Mitigating Data Skewness in Fully Disaggregated RL Post-Training |
2027 |
SIGMOD |
0 |
4.9605343e-05 |
| 10,650 |
Hydraulis: Balancing Large Transformer Model Training via Co-designing Parallel Strategies and Data Assignment |
2026 |
SIGMOD |
1 |
4.9605343e-05 |
| 10,852 |
QA-GraphRAG: Query-Adaptive Plug-and-Play Retrieval Integration for Graph-based Retrieval-Augmented Generation |
2026 |
VLDB |
0 |
4.9605343e-05 |
| 10,944 |
BBC: Improving Large-k Approximate Nearest Neighbor Search with a Bucket-based Result Collector |
2026 |
VLDB |
1 |
4.9605343e-05 |
| 10,957 |
MFTune: An Efficient Multi-fidelity Framework for Spark SQL Configuration Tuning |
2026 |
VLDB |
0 |
4.9605343e-05 |
| 11,257 |
Malleus: Straggler-Resilient Hybrid Parallel Training of Large-scale Models via Malleable Data and Model Parallelization |
2025 |
SIGMOD |
2 |
4.9605343e-05 |
| 11,346 |
LobRA: Multi-tenant Fine-tuning over Heterogeneous Data |
2025 |
VLDB |
2 |
4.9605343e-05 |
| 11,386 |
PS-MI: Accurate, Efficient, and Private Data Valuation in Vertical Federated Learning |
2025 |
VLDB |
0 |
4.9605343e-05 |
| 11,558 |
NPA: Improving Large-scale Graph Neural Networks with Non-parametric Attention |
2024 |
SIGMOD |
0 |
4.9605343e-05 |
| 11,921 |
MinMax Sampling: A Near-optimal Global Summary for Aggregation in the Wide Area |
2022 |
SIGMOD |
0 |
4.9605343e-05 |
| 12,177 |
Hunting Multiple Bumps in Graphs |
2020 |
VLDB |
2 |
4.9605343e-05 |
| 12,345 |
LDA*: A Robust and Large-scale Topic Modeling System |
2017 |
VLDB |
5 |
4.9605343e-05 |
| 12,391 |
Real-time Video Recommendation Exploration |
2016 |
SIGMOD |
1 |
4.9605343e-05 |
| 12,759 |
Multiple Feature Fusion for Social Media Applications |
2010 |
SIGMOD |
0 |
4.9605343e-05 |
| 13,823 |
EdgeDIPN: a Unified Deep Intent Prediction Network Deployed at the Edge |
2021 |
VLDB |
0 |
- |