| 334 |
An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning
|
2019 |
SIGMOD |
0.00020875082 |
| 1,061 |
Are We Ready For Learned Cardinality Estimation?
|
2021 |
VLDB |
0.00012369764 |
| 1,749 |
PaxosStore: High-availability Storage Made Practical in WeChat
|
2017 |
VLDB |
9.8395185e-05 |
| 1,959 |
VF2Boost: Very Fast Vertical Federated Gradient Boosting for Cross-Enterprise Learning
|
2021 |
SIGMOD |
9.4090198e-05 |
| 2,485 |
HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework
|
2022 |
VLDB |
8.5145736e-05 |
| 2,620 |
Fauce: Fast and Accurate Deep Ensembles with Uncertainty for Cardinality Estimation
|
2021 |
VLDB |
8.3363963e-05 |
| 2,873 |
Query Driven-Graph Neural Networks for Community Search: From Non-Attributed, Attributed, to Interactive Attributed
|
2022 |
VLDB |
8.0099557e-05 |
| 3,237 |
BlindFL: Vertical Federated Machine Learning without Peeking into Your Data
|
2022 |
SIGMOD |
7.6089416e-05 |
| 3,283 |
A Learned Sketch for Subgraph Counting
|
2021 |
SIGMOD |
7.56675e-05 |
| 3,423 |
Computing Graph Edit Distance via Neural Graph Matching
|
2023 |
VLDB |
7.4260662e-05 |
| 3,587 |
HUNTER: An Online Cloud Database Hybrid Tuning System for Personalized Requirements
|
2022 |
SIGMOD |
7.2829345e-05 |
| 3,850 |
Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization
|
2021 |
VLDB |
7.0742748e-05 |
| 4,083 |
SketchML: Accelerating Distributed Machine Learning with Data Sketches
|
2018 |
SIGMOD |
6.9160949e-05 |
| 4,110 |
Spitfire: A Three-Tier Buffer Manager for Volatile and Non-Volatile Memory
|
2021 |
SIGMOD |
6.8948348e-05 |
| 4,440 |
The Art of Latency Hiding in Modern Database Engines
|
2024 |
VLDB |
6.7049797e-05 |
| 4,529 |
TencentRec: Real-time Stream Recommendation in Practice
|
2015 |
SIGMOD |
6.6446748e-05 |
| 4,578 |
PLIN: A Persistent Learned Index for Non-Volatile Memory with High Performance and Instant Recovery
|
2023 |
VLDB |
6.6210545e-05 |
| 4,956 |
Heterogeneity-Aware Distributed Machine Learning Training via Partial Reduce
|
2021 |
SIGMOD |
6.4290135e-05 |
| 5,345 |
PS2: Parameter Server on Spark
|
2019 |
SIGMOD |
6.2586047e-05 |
| 5,362 |
Mariana: Tencent Deep Learning Platform and its Applications
|
2014 |
VLDB |
6.2481421e-05 |
| 5,374 |
Hereditary Cohesive Subgraphs Enumeration on Bipartite Graphs: The Power of Pivot-based Approaches
|
2023 |
SIGMOD |
6.2418958e-05 |
| 5,589 |
An Experimental Evaluation of Large Scale GBDT Systems
|
2019 |
VLDB |
6.1559057e-05 |
| 5,653 |
UNIFY: Unified Index for Range Filtered Approximate Nearest Neighbors Search
|
2025 |
VLDB |
6.1332953e-05 |
| 6,344 |
Towards General and Efficient Online Tuning for Spark
|
2023 |
VLDB |
5.9060457e-05 |
| 6,415 |
Influence Maximization in Real-World Closed Social Networks
|
2023 |
VLDB |
5.8830469e-05 |
| 6,433 |
ALG: Fast and Accurate Active Learning Framework for Graph Convolutional Networks
|
2021 |
SIGMOD |
5.8801048e-05 |
| 6,575 |
TencentCLS: The Cloud Log Service with High Query Performances
|
2022 |
VLDB |
5.8369845e-05 |
| 6,628 |
ConnectorX: Accelerating Data Loading From Databases to Dataframes
|
2022 |
VLDB |
5.8197537e-05 |
| 6,803 |
OUTRE: An OUT-of-core De-REdundancy GNN Training Framework for Massive Graphs within A Single Machine
|
2024 |
VLDB |
5.7684339e-05 |
| 6,874 |
SALI: A Scalable Adaptive Learned Index Framework based on Probability Models
|
2023 |
SIGMOD |
5.7489487e-05 |
| 7,133 |
A Lightweight and Efficient Temporal Database Management System in TDSQL
|
2019 |
VLDB |
5.6949498e-05 |
| 7,173 |
CompressDB: Enabling Efficient Compressed Data Direct Processing for Various Databases
|
2022 |
SIGMOD |
5.6830655e-05 |
| 7,578 |
Minimum Strongly Connected Subgraph Collection in Dynamic Graphs
|
2024 |
VLDB |
5.5927377e-05 |
| 7,686 |
TDSQL: Tencent Distributed Database System
|
2024 |
VLDB |
5.5676271e-05 |
| 8,034 |
Angel-PTM: A Scalable and Economical Large-scale Pre-training System in Tencent
|
2023 |
VLDB |
5.502946e-05 |
| 8,707 |
Set-valued Data Publication with Local Privacy: Tight Error Bounds and Efficient Mechanisms
|
2020 |
VLDB |
5.3804383e-05 |
| 8,715 |
Efficient Black-box Checking of Snapshot Isolation in Databases
|
2023 |
VLDB |
5.3777365e-05 |
| 8,832 |
Online Schema Evolution is (Almost) Free for Snapshot Databases
|
2023 |
VLDB |
5.36029e-05 |
| 8,869 |
A Distributed System for Large-scale n-gram Language Models at Tencent
|
2019 |
VLDB |
5.3543688e-05 |
| 8,907 |
Scheduling Data Processing Pipelines for Incremental Training on MLP-based Recommendation Models
|
2025 |
SIGMOD |
5.3483178e-05 |
| 9,130 |
A Hybrid Approach to Integrating Deterministic and Non-deterministic Concurrency Control in Database Systems
|
2025 |
VLDB |
5.318565e-05 |
| 9,131 |
TED: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database
|
2023 |
SIGMOD |
5.3184767e-05 |
| 9,242 |
Managing Conflicting Interests of Stakeholders in Influencer Marketing
|
2023 |
SIGMOD |
5.2993405e-05 |
| 9,471 |
Efficient and Accurate SimRank-based Similarity Joins: Experiments, Analysis, and Improvement
|
2024 |
VLDB |
5.2634238e-05 |
| 9,506 |
FluidKV: Seamlessly Bridging the Gap between Indexing Performance and Memory-Footprint on Ultra-Fast Storage
|
2024 |
VLDB |
5.258497e-05 |
| 9,672 |
DimBoost: Boosting Gradient Boosting Decision Tree to Higher Dimensions
|
2018 |
SIGMOD |
5.2386185e-05 |
| 9,880 |
MEMO: Fine-grained Tensor Management For Ultra-long Context LLM Training
|
2025 |
SIGMOD |
5.2040783e-05 |
| 10,014 |
TxnSails: Achieving Serializable Transaction Scheduling with Self-Adaptive Isolation Level Selection
|
2025 |
VLDB |
5.1770751e-05 |
| 10,105 |
SCompression: Enhancing Database Knob Tuning Efficiency Through Slice-Based OLTP Workload Compression
|
2025 |
VLDB |
5.1435736e-05 |
| 10,114 |
Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local Updates
|
2022 |
VLDB |
5.1319012e-05 |