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VLDB 2026

A*

International Conference on Very Large Data Bases

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132
accepted papers
128
authors
August 31 - September 4, 2026
dates
USA
location

132 / 132 papers

  1. 1
    A Comparative Evaluation of Schema Subsetting for LLM-based NL-to-SQL over Large-Schema Databases
    Kyle Luoma
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  2. 2
    A Resource-centric Analysis and Optimization of NoSQL Workloads using Distressed Resource Volume Metric
    Gunika Verma
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  3. 3
    A Semantics-aware Approach for Graph Edit Distance Estimation over Knowledge Graphs
    Yingli Zhou
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  4. 4
    Abacus: A Cost-Based Optimizer for Semantic Operator Systems
    Matthew Russo
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  5. 5
    Active Data Lakes: Regaining Physical Data Independence Without Losing Interoperability
    Pascal Ginter
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  6. 6
    Aggregating maximal cliques in real-world graphs
    Noga Alon
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  7. 7
    ALER: An Active Learning Hybrid System for Efficient Entity Resolution
    Dimitrios Karapiperis
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  8. 8
    Anchored Maximum Communities over Large Directed Graphs
    Yang Huang
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  9. 9
    AQD: Online Adaptive Query Dispatcher for HTAP Databases
    Yang Wu
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  10. 10
    ArceKV: Towards Workload-driven LSM-compactions for Key-Value Store Under Dynamic Workloads
    Junfeng Liu
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  11. 11
    Auditing for Demographic Bias in Opaque Rankings
    Antonio Ferrara
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  12. 12
    Automated Tensor-Relational Decomposition for Large-Scale Sparse Tensor Computation
    Yuxin Tang
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  13. 13
    BaCon: Efficient Batch Processing of Counting Queries
    Yuxi Liu
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  14. 14
    Balancing the Blend: An Experimental Analysis of Trade-offs in Hybrid Search
    Mengzhao Wang
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  15. 15
    Bifrost: A Much Simpler Secure Two-Party Data Join Protocol for Secure Data Analytics
    Shuyu Chen
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  16. 16
    BookRAG: A Hierarchical Structure-aware Index-based Approach for Retrieval-Augmented Generation on Complex Documents
    Shu Wang
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  17. 17
    Breaking the Isolation-Freshness Trade-off: Joint Adaptive Storage Optimization for HTAP Systems
    Zhenghao Ding
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  18. 18
    BRIEF: Bi-level Coreset Selection for Efficient Instruction Tuning in LLMs
    Chaoyuan Shen
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  19. 19
    CAPS: Cost-Aware ML Pipeline Selection
    Antonios Kontaxakis
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  20. 20
    CEMR: An Effective Subgraph Matching Algorithm with Redundant Extension Elimination
    Linglin Yang
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  21. 21
    Characterizing Parallel Subgraph Matching Performance: A Systematic Study of Interactions, Scalability, and Enumeration
    Tao Yu
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  22. 22
    CIDER: Boosting Memory-Disaggregated Key-Value Stores with Pessimistic Synchronization
    Yuxuan Du
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  23. 23
    Compass: SLO-aware Query Planner for Compound AI Serving at Scale
    Banruo Liu
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  24. 24
    Continuous Query for Top-K Maximal Sum Intervals over Streaming Data
    Zhongshuai Zhang
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  25. 25
    Counting HyperGraphlets via Color Coding: a Quadratic Barrier and How to Break It
    Marco Bressan
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  26. 26
    CREST: Approximate k-Clique Counting in Real-World Networks via Refinement of Star-Based Sample Space
    Yehyun Nam
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  27. 27
    Database Views as Explanations for Relational Deep Learning
    Agapi Rissaki
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  28. 28
    DBAIOps: A Reasoning LLM-Enhanced Database Operation and Maintenance System using Knowledge Graphs
    Wei Zhou
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  29. 29
    DeXOR: Enabling XOR in Decimal Space for Streaming Lossless Compression of Floating-point Data
    Chuanyi Lv
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  30. 30
    Dinkel: State-Aware and Granular Framework for Validating Graph Databases
    Celine Wüst
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  31. 31
    Discovering Approximate Denial Constraints in Large Databases
    Albert Martin
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  32. 32
    Document-to-Database: Extraction Meets Relational Semantics
    Zhengxuan Zhang
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  33. 33
    Dynamic read \u0026 write optimization with TurtleKV
    Tony Astolfi
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  34. 34
    Efficient Banzhaf-Based Data Valuation for k-Nearest Neighbors Classification
    Guangyi Zhang
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  35. 35
    Efficient Cooperation-Aware Key and Value Management for LLM Inference
    Qiheng Sun
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  36. 36
    Efficient GNN Training on Giant Graphs with Collective Batching and Scheduling
    Xin Zhang
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  37. 37
    Efficient Temporal Subgraph Management: A New Interval Index
    Dian Ouyang
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  38. 38
    Efficient, Scalable, and Fair Locking on Disaggregated Memory with Decentralized Coordination
    Hanze Zhang
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  39. 39
    Enabling Index-free Adjacency in Oblivious Graph Processing with Delayed Duplications
    Weiqi Feng
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  40. 40
    FB*: A Compact Index for Efficient and Exact Density-based Clustering
    Bide Zhao
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  41. 41
    Finding Non-Redundant Simpson's Paradox in Multidimensional Data
    Yi Yang
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  42. 42
    FlareDTDG: Harnessing Temporal Recency for Scalable Discrete-Time Dynamic Graph Training
    Wenjie Huang
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  43. 43
    Front Matter
    Yanlei Diao
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  44. 44
    Front Matter
    Yanlei Diao
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  45. 45
    Front Matter
    Yanlei Diao
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  46. 46
    Front Matter
    Yanlei Diao
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  47. 47
    Front Matter
    Yanlei Diao
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  48. 48
    FutureLight: An Efficient Future Traffic Data-Driven Reinforcement Learning Framework for Traffic Signal Controls
    Zizhuo Xu
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  49. 49
    gMatch: Fine-Grained and Hardware-Efficient Subgraph Matching on GPUs
    Weitian Chen
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  50. 50
    HarborMaster: Rollback Detection for Trusted Distributed Computing
    Shubham Mishra
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