| 514 |
An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning
|
2019 |
SIGMOD |
0.0002124895 |
| 1,577 |
PaxosStore: High-availability Storage Made Practical in WeChat
|
2017 |
VLDB |
0.00011285777 |
| 1,703 |
Are We Ready For Learned Cardinality Estimation?
|
2021 |
VLDB |
0.00010836769 |
| 1,895 |
VF2Boost: Very Fast Vertical Federated Gradient Boosting for Cross-Enterprise Learning
|
2021 |
SIGMOD |
0.00010180896 |
| 2,677 |
HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework
|
2022 |
VLDB |
8.3268401e-05 |
| 3,369 |
Query Driven-Graph Neural Networks for Community Search: From Non-Attributed, Attributed, to Interactive Attributed
|
2022 |
VLDB |
7.171452e-05 |
| 3,499 |
Fauce: Fast and Accurate Deep Ensembles with Uncertainty for Cardinality Estimation
|
2021 |
VLDB |
7.0376445e-05 |
| 3,506 |
BlindFL: Vertical Federated Machine Learning without Peeking into Your Data
|
2022 |
SIGMOD |
7.0291192e-05 |
| 3,752 |
Computing Graph Edit Distance via Neural Graph Matching
|
2023 |
VLDB |
6.7879009e-05 |
| 3,778 |
A Learned Sketch for Subgraph Counting
|
2021 |
SIGMOD |
6.7747398e-05 |
| 3,808 |
SketchML: Accelerating Distributed Machine Learning with Data Sketches
|
2018 |
SIGMOD |
6.7455428e-05 |
| 4,165 |
Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization
|
2021 |
VLDB |
6.3921956e-05 |
| 4,235 |
Spitfire: A Three-Tier Buffer Manager for Volatile and Non-Volatile Memory
|
2021 |
SIGMOD |
6.3342932e-05 |
| 4,263 |
Mariana: Tencent Deep Learning Platform and its Applications
|
2014 |
VLDB |
6.3106444e-05 |
| 4,399 |
HUNTER: An Online Cloud Database Hybrid Tuning System for Personalized Requirements
|
2022 |
SIGMOD |
6.2225151e-05 |
| 4,439 |
TencentRec: Real-time Stream Recommendation in Practice
|
2015 |
SIGMOD |
6.1885354e-05 |
| 4,964 |
PS2: Parameter Server on Spark
|
2019 |
SIGMOD |
5.7965988e-05 |
| 4,975 |
An Experimental Evaluation of Large Scale GBDT Systems
|
2019 |
VLDB |
5.79026e-05 |
| 5,312 |
The Art of Latency Hiding in Modern Database Engines
|
2024 |
VLDB |
5.5734224e-05 |
| 5,333 |
Heterogeneity-Aware Distributed Machine Learning Training via Partial Reduce
|
2021 |
SIGMOD |
5.5656575e-05 |
| 5,592 |
PLIN: A Persistent Learned Index for Non-Volatile Memory with High Performance and Instant Recovery
|
2023 |
VLDB |
5.4210633e-05 |
| 5,706 |
TencentCLS: The Cloud Log Service with High Query Performances
|
2022 |
VLDB |
5.3611566e-05 |
| 6,532 |
Hereditary Cohesive Subgraphs Enumeration on Bipartite Graphs: The Power of Pivot-based Approaches
|
2023 |
SIGMOD |
5.0245678e-05 |
| 6,541 |
ConnectorX: Accelerating Data Loading From Databases to Dataframes
|
2022 |
VLDB |
5.0216945e-05 |
| 6,625 |
ALG: Fast and Accurate Active Learning Framework for Graph Convolutional Networks
|
2021 |
SIGMOD |
4.9889819e-05 |
| 6,669 |
Influence Maximization in Real-World Closed Social Networks
|
2023 |
VLDB |
4.9677027e-05 |
| 6,871 |
Towards General and Efficient Online Tuning for Spark
|
2023 |
VLDB |
4.8997004e-05 |
| 6,980 |
OUTRE: An OUT-of-core De-REdundancy GNN Training Framework for Massive Graphs within A Single Machine
|
2024 |
VLDB |
4.8744298e-05 |
| 7,165 |
A Lightweight and Efficient Temporal Database Management System in TDSQL
|
2019 |
VLDB |
4.8130937e-05 |
| 7,429 |
CompressDB: Enabling Efficient Compressed Data Direct Processing for Various Databases
|
2022 |
SIGMOD |
4.7320139e-05 |
| 7,536 |
Angel-PTM: A Scalable and Economical Large-scale Pre-training System in Tencent
|
2023 |
VLDB |
4.7176331e-05 |
| 7,611 |
UNIFY: Unified Index for Range Filtered Approximate Nearest Neighbors Search
|
2025 |
VLDB |
4.6964271e-05 |
| 7,683 |
TDSQL: Tencent Distributed Database System
|
2024 |
VLDB |
4.6799361e-05 |
| 7,716 |
Minimum Strongly Connected Subgraph Collection in Dynamic Graphs
|
2024 |
VLDB |
4.6696364e-05 |
| 7,869 |
SALI: A Scalable Adaptive Learned Index Framework based on Probability Models
|
2023 |
SIGMOD |
4.6315248e-05 |
| 8,074 |
Set-valued Data Publication with Local Privacy: Tight Error Bounds and Efficient Mechanisms
|
2020 |
VLDB |
4.5918992e-05 |
| 8,737 |
Scheduling Data Processing Pipelines for Incremental Training on MLP-based Recommendation Models
|
2025 |
SIGMOD |
4.456315e-05 |
| 8,800 |
Efficient Black-box Checking of Snapshot Isolation in Databases
|
2023 |
VLDB |
4.4486165e-05 |
| 8,806 |
Online Schema Evolution is (Almost) Free for Snapshot Databases
|
2023 |
VLDB |
4.446517e-05 |
| 8,829 |
A Distributed System for Large-scale n-gram Language Models at Tencent
|
2019 |
VLDB |
4.4406886e-05 |
| 9,097 |
Managing Conflicting Interests of Stakeholders in Influencer Marketing
|
2023 |
SIGMOD |
4.3967784e-05 |
| 9,106 |
TED: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database
|
2023 |
SIGMOD |
4.3952103e-05 |
| 9,321 |
Efficient and Accurate SimRank-based Similarity Joins: Experiments, Analysis, and Improvement
|
2024 |
VLDB |
4.3556432e-05 |
| 9,362 |
FluidKV: Seamlessly Bridging the Gap between Indexing Performance and Memory-Footprint on Ultra-Fast Storage
|
2024 |
VLDB |
4.3503444e-05 |
| 9,469 |
DimBoost: Boosting Gradient Boosting Decision Tree to Higher Dimensions
|
2018 |
SIGMOD |
4.3342363e-05 |
| 9,661 |
MSQL+: A Plugin Toolkit for Similarity Search under Metric Spaces in Distributed Relational Database Systems
|
2018 |
VLDB |
4.3100374e-05 |
| 9,805 |
MEMO: Fine-grained Tensor Management For Ultra-long Context LLM Training
|
2025 |
SIGMOD |
4.2805224e-05 |
| 9,956 |
SCompression: Enhancing Database Knob Tuning Efficiency Through Slice-Based OLTP Workload Compression
|
2025 |
VLDB |
4.2373024e-05 |
| 9,966 |
Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local Updates
|
2022 |
VLDB |
4.2269436e-05 |
| 10,089 |
Hydraulis: Balancing Large Transformer Model Training via Co-designing Parallel Strategies and Data Assignment
|
2026 |
SIGMOD |
4.1945683e-05 |