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Xiaokui Xiao

Nanyang Technological University, Singapore

43 papers at tracked venues · 42 at CORE A* · active 2024–2026

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Venues

VLDB ×17SIGMOD ×7SIGKDD ×5WWW ×5ICDE ×4AAAI ×1CIKM ×1ICLR ×1NeurIPS ×1SIGIR ×1

Frequent coauthors

Yanlei Diao
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Keke Huang
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Yangfan Jiang
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Jianxin Wei
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Hewen Wang
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Bin Xiang
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Yiqian Huang
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Yuan Qiu
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Xi Zhao
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Xingguang Chen
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Baofu Han
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Zhaofeng Li
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Papers

  1. Accurate Table Question Answering with Accessible LLMs
    ICDE 2026 ·
    Yangfan Jiang
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  2. DP-S4S: Accurate and Scalable Select-Join-Aggregate Query Processing with User-Level Differential Privacy
    SIGMOD 2026 ·
    Yuan Qiu
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  3. Enhancing Graph-based Approximate Maximum Inner Product Search via Norm-Adaptive Partitioning
    SIGMOD 2026 ·
    Xi Zhao
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  4. Front Matter
    VLDB 2026 ·
    Yanlei Diao
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  5. Front Matter
    VLDB 2026 ·
    Yanlei Diao
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  6. Front Matter
    VLDB 2026 ·
    Yanlei Diao
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  7. Front Matter
    VLDB 2026 ·
    Yanlei Diao
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  8. Front Matter
    VLDB 2026 ·
    Yanlei Diao
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  9. Generalized Entity Matching with Adaptivity via Large Language Models
    SIGMOD 2026 ·
    Xingguang Chen
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  10. On Self-Designing Learned Indexes
    SIGMOD 2026 ·
    Baofu Han
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  11. SaGD: A Node-Level Differentially Private Graph Learning Framework with Sensitivity-Aware Gradient Descent
    WWW 2026 ·
    Jianxin Wei
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  12. Unifying Diversity and Fairness in Re-ranking via Economic Growth Theory
    WWW 2026 ·
    Zhaofeng Li
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  13. A Framework for Evaluating AI Agents in Open-Ended Conversations via Scripted Simulation
    SIGKDD 2025 ·
    Clarice Wang
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  14. Advances in Designing Scalable Graph Neural Networks: The Perspective of Graph Data Management
    SIGMOD 2025 ·
    Ningyi Liao
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  15. Front Matter
    VLDB 2025 ·
    Yanlei Diao
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  16. Front Matter
    VLDB 2025 ·
    Yanlei Diao
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  17. Front Matter
    VLDB 2025 ·
    Yanlei Diao
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  18. Front Matter
    VLDB 2025 ·
    Yanlei Diao
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  19. GCON: Differentially Private Graph Convolutional Network via Objective Perturbation
    ICDE 2025 ·
    Jianxin Wei
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  20. GegenNet: Spectral Convolutional Neural Networks for Link Sign Prediction in Signed Bipartite Graphs
    CIKM 2025 ·
    Hewen Wang
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  21. Hyperparametric Influence Minimization: Feature-Driven Intervention Beyond Blocking
    SIGKDD 2025 ·
    Bin Xiang
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  22. Hyperparametric Robust and Dynamic Influence Maximization
    AAAI 2025 ·
    Arkaprava Saha
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  23. KET-RAG: A Cost-Efficient Multi-Granular Indexing Framework for Graph-RAG
    SIGKDD 2025 ·
    Yiqian Huang
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  24. NeurStore: Efficient In-database Deep Learning Model Management System
    SIGMOD 2025 ·
    Siqi Xiang
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  25. PrivPetal: Relational Data Synthesis via Permutation Relations
    SIGMOD 2025 ·
    Kuntai Cai
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  26. ThriftLLM: On Cost-Effective Selection of Large Language Models for Classification Queries
    VLDB 2025 ·
    Keke Huang
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  27. Towards Learning on Vertically Partitioned Data with Distributed Differential Privacy
    ICDE 2025 ·
    Ergute Bao
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  28. You Are What You Bought: Generating Customer Personas for E-commerce Applications
    SIGIR 2025 ·
    Yimin Shi
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  29. A Benchmark Study of Deep-RL Methods for Maximum Coverage Problems over Graphs
    VLDB 2024 ·
    Zhicheng Liang
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  30. AAA: an Adaptive Mechanism for Locally Differential Private Mean Estimation
    VLDB 2024 ·
    Fei Wei
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  31. Calibrating Noise for Group Privacy in Subsampled Mechanisms
    VLDB 2024 ·
    Yangfan Jiang
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  32. Effective Edge-wise Representation Learning in Edge-Attributed Bipartite Graphs
    SIGKDD 2024 ·
    Hewen Wang
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  33. Efficient and Effective Algorithms for A Family of Influence Maximization Problems with A Matroid Constraint
    VLDB 2024 ·
    Yiqian Huang
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  34. Graph Computation with Adaptive Granularity
    ICDE 2024 ·
    Ruiqi Xu
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  35. Information Diffusion Meets Invitation Mechanism
    WWW 2024 ·
    Shiqi Zhang
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  36. Optimal Batched Best Arm Identification
    NeurIPS 2024 ·
    Tianyuan Jin
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  37. Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach
    WWW 2024 ·
    Keke Huang
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  38. Performance-Based Pricing of Federated Learning via Auction
    VLDB 2024 ·
    Zitao Li
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  39. Predicting Cascading Failures with a Hyperparametric Diffusion Model
    SIGKDD 2024 ·
    Bin Xiang
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  40. Scalable Continuous-time Diffusion Framework for Network Inference and Influence Estimation
    WWW 2024 ·
    Keke Huang
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  41. Scalable and Effective Implicit Graph Neural Networks on Large Graphs
    ICLR 2024 ·
    Juncheng Liu
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  42. Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs
    VLDB 2024 ·
    Yizheng Zhu
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  43. Sharing Information with Differential Privacy: A Database Perspective
    VLDB 2024 · Xiaokui Xiao