Bin Wu
  • Bio
  • Papers
  • Publications
    • PolarStore: High-Performance Data Compression for Large-Scale Cloud-Native Databases
    • Andromeda: Debugging Database Performance Issues with Retrieval-Augmented Large Language Models
    • Anser: Adaptive Information Sharing Framework of AnalyticDB
    • Lindorm TSDB: A Cloud-Native Time-Series Database for Large-Scale Monitoring Systems
    • Active Sampling for Sparse Table by Bayesian Optimization with Adaptive Resolution
    • OneShotSTL: One-Shot Seasonal-Trend Decomposition for Online Time Series Anomaly Detection and Forecasting
    • ShapleyIQ: Influence Quantification by Shapley Values for Performance Debugging of Microservices
    • CatSQL: Towards Real World Natural Language to SQL Applications
    • Learning-Based Query Optimization for Multi-Probe Approximate Nearest Neighbor Search
    • Releasing Private Data for Numerical Queries
    • Cquirrel: Continuous Query Processing over Acyclic Relational Schemas
    • Weighted Distinct Sampling: Cardinality Estimation for SPJ Queries
    • AnalyticDB-V: A Hybrid Analytical Engine Towards Query Fusion for Structured and Unstructured Data
    • Wander Join and XDB: Online Aggregation via Random Walks
    • Deep Meta-Learning: Learning to Learn in the Concept Space
    • Wander Join and XDB: Online Aggregation via Random Walks
    • Counting Triangles in Large Graphs by Random Sampling
    • Wander Join: Online Aggregation for Joins
    • Wander Join: Online Aggregation via Random Walks
    • Correlative Multi-Label Multi-Instance Image Annotation
    • Multi-Kernel Multi-Label Learning with Max-Margin Concept Network
  • Posts
  • Recent & Upcoming Talks

Active Sampling for Sparse Table by Bayesian Optimization with Adaptive Resolution

Apr 1, 2023·
Xiao He
,
Jian Tan
,
Bin Wu
,
Feifei Li
,
Xinping Zhang
,
Gaozhong Liang
,
Jinfeng Xu
· 0 min read
publication
Last updated on Apr 1, 2023
← Lindorm TSDB: A Cloud-Native Time-Series Database for Large-Scale Monitoring Systems Aug 1, 2023
OneShotSTL: One-Shot Seasonal-Trend Decomposition for Online Time Series Anomaly Detection and Forecasting Apr 1, 2023 →

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