Sai Wu

Venues

Frequent coauthors

Papers

1. Adda: An Agent-Driven in-Database Feature Generation System
   SIGMOD 2026 ·

   Zhenyu Li

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2. An Invariant Latent Space Perspective on Language Model Inversion
   AAAI 2026 ·

   Wentao Ye

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3. Corpus-Centric Learning for Zero-Shot Table Retrieval
   SIGIR 2026 ·

   Zhou He

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4. Enhancing Reinforcement Learning for Radiology Report Generation with Evidence-aware Rewards and Self-correcting Preference Learning
   ACL 2026 ·

   Qin Zhou

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5. FlareDTDG: Harnessing Temporal Recency for Scalable Discrete-Time Dynamic Graph Training
   VLDB 2026 ·

   Wenjie Huang

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6. IncreQueryFusion: On-demand Data Fusion Framework in Dynamic Data Lakes
   VLDB 2026 ·

   Wenhao Liu

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7. Learner-Tailored Program Repair: A Solution Generator with Iterative Edit-Driven Retrieval Enhancement
   AAAI 2026 ·

   Zhenlong Dai

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8. QBridge: Bridging Natural Language and SQL via Gold Query Rewriting with Agentic Refinement
   ACL 2026 ·

   Zhensheng Luo

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9. A Demonstration of QueryArtisan: Real-Time Data Lake Analysis via Dynamically Generated Data Manipulation Code
   VLDB 2025 ·

   Wenhao Liu

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10. Adda: Towards Efficient in-Database Feature Generation via LLM-based Agents
    SIGMOD 2025 ·

    Kuan Lu

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11. Bridging the Semantic Gap Between Text and Table: A Case Study on NL2SQL
    ICLR 2025 ·

    Lin Long

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12. CoLA: Model Collaboration for Log-based Anomaly Detection
    VLDB 2025 ·

    Xuhang Zhu

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13. CycSeq: Leveraging Cyclic Data Generation for Accurate Perturbation Prediction in Single-Cell RNA-Seq
    IJCAI 2025 ·

    Yicheng Liu

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14. DualGuard: A Parameter Space Transformation Approach for Bidirectional Defense in Split-Based LLM Fine-Tuning
    ACL 2025 ·

    Zihan Liu

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15. Effective and Efficient Distributed Temporal Graph Learning through Hotspot Memory Sharing
    VLDB 2025 ·

    Longjiao Zhang

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16. Learnable Retrieval Enhanced Visual-Text Alignment and Fusion for Radiology Report Generation
    ICCV 2025 ·

    Qin Zhou

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17. Less Is More: Adaptive Program Repair with Bug Localization and Preference Learning
    AAAI 2025 ·

    Zhenlong Dai

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18. Mining Platoon Patterns from Traffic Videos
    VLDB 2025 ·

    Yijun Bei

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19. MorphingDB: A Task-Centric AI-Native DBMS for Model Management and Inference
    SIGMOD 2025 · Sai Wu
20. POLO: An LLM-Powered Project-Level Code Performance Optimization Framework
    IJCAI 2025 ·

    Jiameng Bai

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21. RLOMM: An Efficient and Robust Online Map Matching Framework with Reinforcement Learning
    SIGMOD 2025 ·

    Minxiao Chen

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22. SALoM: Structure Aware Temporal Graph Networks with Long-Short Memory Updater
    NeurIPS 2025 ·

    Hanwen Liu

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23. Semantic-guided Masked Mutual Learning for Multi-modal Brain Tumor Segmentation with Arbitrary Missing Modalities
    AAAI 2025 ·

    Guoyan Liang

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24. Twisted Twin: A Collaborative and Competitive Memory Management Approach in HTAP Systems
    VLDB 2025 ·

    Jiani Yang

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25. T²DR: A Two-Tier Deficiency-Resistant Framework for Incomplete Multimodal Learning
    ACL 2025 ·

    Han Lin

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26. Enhancing LLM Reasoning via Vision-Augmented Prompting
    NeurIPS 2024 ·

    Ziyang Xiao

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27. In Situ Neural Relational Schema Matcher
    ICDE 2024 ·

    Xingyu Du

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28. Locating What You Need: Towards Adapting Diffusion Models to OOD Concepts In-the-Wild
    NeurIPS 2024 ·

    Jianan Yang

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29. Predictive and Near-Optimal Sampling for View Materialization in Video Databases
    SIGMOD 2024 ·

    Yanchao Xu

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30. QueryArtisan: Generating Data Manipulation Codes for Ad-hoc Analysis in Data Lakes
    VLDB 2024 ·

    Xiu Tang

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31. Revisiting CNNs for Trajectory Similarity Learning
    VLDB 2024 ·

    Zhihao Chang

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32. Sampling-Resilient Multi-Object Tracking
    AAAI 2024 ·

    Zepeng Li

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33. Towards Cross-Table Masked Pretraining for Web Data Mining
    WWW 2024 ·

    Chao Ye

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