Gao Cong

Latest

• TATA: An Efficient Framework for Task Transfer in Query Plan Representation
• ARCADE: A Real-Time Data System for Hybrid and Continuous Query Processing across Diverse Data Modalities
• FDABench: A Benchmark for Data Agents on Analytical Queries over Heterogeneous Data
• MAAdvisor: Zero-Shot Index Advisor using Multi-Agent LLMs
• BT-Tree: A Reinforcement Learning Based Index for Big Trajectory Data
• CAMAL: Optimizing LSM-trees via Active Learning
• DEG: Efficient Hybrid Vector Search Using the Dynamic Edge Navigation Graph
• NEXT: A New Secondary Index Framework for LSM-based Data Storage
• GeoBloom: Revisiting Lightweight Models for Geographic Information Retrieval
• LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency
• RankPQO: Learning-to-Rank for Parametric Query Optimization
• Machine Learning for Databases: Foundations, Paradigms, and Open problems
• A Comparative Study and Component Analysis of Query Plan Representation Techniques in ML4DB Studies
• Lemo: A Cache-Enhanced Learned Optimizer for Concurrent Queries
• PLATON: Top-down R-tree Packing with Learned Partition Policy
• Selectivity Estimation for Queries Containing Predicates over Set-Valued Attributes
• The RLR-Tree: A Reinforcement Learning Based R-Tree for Spatial Data
• Learned Index Benefits: Machine Learning Based Index Performance Estimation
• Towards Designing and Learning Piecewise Space-Filling Curves
• SAM: Database Generation from Query Workloads with Supervised Autoregressive Models
• QueryFormer: a tree transformer model for query plan representation
• Unsupervised Selectivity Estimation by Integrating Gaussian Mixture Models and an Autoregressive Model
• A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation