| 8,197 |
Angel-PTM: A Scalable and Economical Large-scale Pre-training System in Tencent |
2023 |
VLDB |
5.3794747e-05 |
| 8,251 |
SDP_PIPE: A Semi-Decentralized Framework for Heterogeneity-aware Pipeline-parallel Training |
2023 |
VLDB |
5.3687311e-05 |
| 8,277 |
Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale |
2022 |
VLDB |
5.3639084e-05 |
| 8,477 |
TreeSensing: Linearly Compressing Sketches with Flexibility |
2023 |
SIGMOD |
5.3332727e-05 |
| 8,538 |
Hunting Temporal Bumps in Graphs with Dynamic Vertex Properties |
2022 |
SIGMOD |
5.3203262e-05 |
| 8,603 |
Scapin: Scalable Graph Structure Perturbation by Augmented Influence Maximization |
2023 |
SIGMOD |
5.3049212e-05 |
| 8,692 |
Finding Group Steiner Trees in Graphs with both Vertex and Edge Weights |
2021 |
VLDB |
5.2905577e-05 |
| 8,702 |
Community Level Diffusion Extraction |
2015 |
SIGMOD |
5.2905577e-05 |
| 8,812 |
FlexMoE: Scaling Large-scale Sparse Pre-trained Model Training via Dynamic Device Placement |
2023 |
SIGMOD |
5.2722828e-05 |
| 8,911 |
A Temporal Context-Aware Model for User Behavior Modeling in Social Media Systems |
2014 |
SIGMOD |
5.2559789e-05 |
| 8,927 |
Contorting High Dimensional Data for Efficient Main Memory KNN Processing |
2003 |
SIGMOD |
5.2559789e-05 |
| 9,700 |
Experimental Analysis of Large-scale Learnable Vector Storage Compression |
2024 |
VLDB |
5.1381949e-05 |
| 9,734 |
CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models |
2024 |
SIGMOD |
5.1349531e-05 |
| 9,846 |
DimBoost: Boosting Gradient Boosting Decision Tree to Higher Dimensions |
2018 |
SIGMOD |
5.121318e-05 |
| 10,042 |
MEMO: Fine-grained Tensor Management For Ultra-long Context LLM Training |
2025 |
SIGMOD |
5.0921006e-05 |
| 10,075 |
TeRec: A Temporal Recommender System Over Tweet Stream |
2013 |
VLDB |
5.085027e-05 |
| 10,084 |
ContTune: Continuous Tuning by Conservative Bayesian Optimization for Distributed Stream Data Processing Systems |
2023 |
VLDB |
5.0830849e-05 |
| 10,342 |
Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local Updates |
2022 |
VLDB |
5.0167904e-05 |
| 10,577 |
Hydraulis: Balancing Large Transformer Model Training via Co-designing Parallel Strategies and Data Assignment |
2026 |
SIGMOD |
4.9793485e-05 |
| 10,781 |
QA-GraphRAG: Query-Adaptive Plug-and-Play Retrieval Integration for Graph-based Retrieval-Augmented Generation |
2026 |
VLDB |
4.9793485e-05 |
| 10,874 |
BBC: Improving Large-k Approximate Nearest Neighbor Search with a Bucket-based Result Collector |
2026 |
VLDB |
4.9793485e-05 |
| 10,887 |
MFTune: An Efficient Multi-fidelity Framework for Spark SQL Configuration Tuning |
2026 |
VLDB |
4.9793485e-05 |
| 11,189 |
Malleus: Straggler-Resilient Hybrid Parallel Training of Large-scale Models via Malleable Data and Model Parallelization |
2025 |
SIGMOD |
4.9793485e-05 |
| 11,282 |
LobRA: Multi-tenant Fine-tuning over Heterogeneous Data |
2025 |
VLDB |
4.9793485e-05 |
| 11,324 |
PS-MI: Accurate, Efficient, and Private Data Valuation in Vertical Federated Learning |
2025 |
VLDB |
4.9793485e-05 |
| 11,501 |
NPA: Improving Large-scale Graph Neural Networks with Non-parametric Attention |
2024 |
SIGMOD |
4.9793485e-05 |
| 11,871 |
MinMax Sampling: A Near-optimal Global Summary for Aggregation in the Wide Area |
2022 |
SIGMOD |
4.9793485e-05 |
| 12,127 |
Hunting Multiple Bumps in Graphs |
2020 |
VLDB |
4.9793485e-05 |
| 12,296 |
LDA*: A Robust and Large-scale Topic Modeling System |
2017 |
VLDB |
4.9793485e-05 |
| 12,342 |
Real-time Video Recommendation Exploration |
2016 |
SIGMOD |
4.9793485e-05 |
| 12,710 |
Multiple Feature Fusion for Social Media Applications |
2010 |
SIGMOD |
4.9793485e-05 |
| 13,778 |
EdgeDIPN: a Unified Deep Intent Prediction Network Deployed at the Edge |
2021 |
VLDB |
- |