DB for AI Group
Publications
28 publications · Most recent first
- SLO-Driven Dual-Budget Scheduling for Cache-Enabled RAG ServingICDE, 2027.
- PACE-GNN: Cost-Aware Progressive Graph Granularity Scheduling for Faster Convergence in GNN TrainingICDE, 2027.
- Mil: Cost-guided Minimum Makespan Scheduling for Applications of Multiple LLMsVLDB, 2026.
- Efficient GNN Training on Giant Graphs with Collective Batching and SchedulingVLDB, 2026.
- Graph Neural Network Training: From Data Management PerspectiveSpringer Singapore, 2026.
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- Apt-Serve: Adaptive Request Scheduling on Hybrid Cache for Scalable LLM Inference ServingSIGMOD, 2025.
- Faster Convergence in Mini-batch Graph Neural Networks Training with Pseudo Full Neighborhood CompensationVLDB, 2025.
- Distributed Truss Decomposition over Large Directed GraphsThe VLDB Journal, 2025.
- STile: Searching Hybrid Sparse Formats for Sparse Deep Learning Operators AutomaticallySIGMOD, 2024.
- SIMPLE: Efficient Temporal Graph Neural Network Training at Scale with Dynamic Data PlacementSIGMOD, 2024.
- ETC: Efficient Training of Temporal Graph Neural Networks over Large-scale Dynamic GraphsVLDB, 2024.
- DAHA: Accelerating GNN Training with Data and Hardware Aware Execution PlanningVLDB, 2024.
- Efficient Training of Graph Neural Networks on Large GraphsVLDB Tutorial, 2024.
- Efficient Index for Temporal Core Queries over Bipartite GraphsVLDB, 2024.
- Positive Communities on Signed Graphs That Are Not Echo Chambers: A Clique-Based ApproachICDE, 2024.
- Orca: Scalable Temporal Graph Neural Network Training with Theoretical GuaranteesSIGMOD, 2023.
- DUCATI: A Dual-Cache Training System for Graph Neural Networks on Giant Graphs with the GPUSIGMOD, 2023.
- SSIN: Self-Supervised Learning for Rainfall Spatial InterpolationSIGMOD, 2023.
- Zebra: When Temporal Graph Neural Networks Meet Temporal Personalized PageRankVLDB, 2023.
- Maximal D-truss Search in Dynamic Directed GraphsVLDB, 2023.
- Narrow the Input Mismatch in Deep Graph Neural Network DistillationKDD, 2023.
- Butterfly counting and bitruss decomposition on uncertain bipartite graphsThe VLDB Journal, 2023.
- Rainfall Spatial Interpolation with Graph Neural NetworksDASFAA, 2023.
- Camel: Managing Data for Efficient Stream LearningSIGMOD, 2022.
- ETO: Accelerating Optimization of DNN Operators by High-Performance Tensor Program ReuseVLDB, 2022.
- Sancus: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural NetworksVLDB, 2022.
- Feature-Oriented Sampling for Fast and Scalable GNN TrainingICDM, 2022.
- CC-GNN: A Community and Contraction-based Graph Neural NetworkICDM, 2022.