Data+AI Group @ NTU


Our research lies at the intersection of Data Management and Artificial Intelligence.


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We are the Data+AI Group at Nanyang Technological University (NTU). Our research focuses on Data management and AI, bridging the gap between data management and artificial intelligence. We explore two main directions: DB4AI (Database for AI) and AI4DB (AI for Database).

Data + AI
DB4AI
Semantic Queries & Data Agent
Hybrid Search
Multimodal LSM Storage
Real-time AI‑powered Multimodal Analytics System: ARCADE
AI4DB
Query Optimization
ML-enhanced Indexes
Query Representation Learning

Our research spans various topics:

  • DB4AI:
    • Semantic Queries & Data Agent
    • Hybrid Search
    • Multimodal LSM Storage
  • AI4DB:
    • Query Optimization
    • ML-enhanced Indexes
    • Query Representation Learning

Latest News

Paper on Query Plan Representation accepted at PVLDB 2026

TATA: An Efficient Framework for Task Transfer in Query Plan Representation. Yue Zhao, Songsong Mo, Gao Cong.
Jan 30, 2026 1 min read
Paper on Query Plan Representation accepted at PVLDB 2026
Paper on Learned Index for Trajectory Data accepted at SIGMOD 2025

BT-Tree: A Reinforcement Learning Based Index for Big Trajectory Data. Tu Gu, Kaiyu Feng, Jingyi Yang, Gao Cong, Long Cheng, Rui Zhang.
Jun 1, 2025 1 min read
Paper on Learned Index for Trajectory Data accepted at SIGMOD 2025
Paper on LLM-enhanced Query Rewrite accepted at PVLDB 2025

LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency. Zhaodonghui Li, Haitao Yuan, Huiming Wang, Gao Cong, Lidong Bing.
Jan 1, 2025 1 min read
Paper on LLM-enhanced Query Rewrite accepted at PVLDB 2025
Paper on Parametric Query Optimization accepted at PVLDB 2025

RankPQO: Learning-to-Rank for Parametric Query Optimization. Songsong Mo, Yue Zhao, Zhifeng Bao, Quanqing Xu, Chuanhui Yang, Gao Cong.
Jan 1, 2025 1 min read
Paper on Parametric Query Optimization accepted at PVLDB 2025
Tutorial on ML4DB accepted at SIGMOD 2024

Congratulations to Yang Jingyi and Zhao Yue for publishing the tutorial “Machine Learning for Databases: Foundations, Paradigms, and Open problems” at SIGMOD 2024.
May 2, 2024 1 min read
Tutorial on ML4DB accepted at SIGMOD 2024
Evaluation Paper on Query Plan Representation accepted at VLDB 2024

Congratulations to Zhao Yue and Li Zhaodonghui for publishing the paper “A Comparative Study and Component Analysis of Query Plan Representation Techniques in ML4DB Studies” at VLDB 2024.
May 1, 2024 2 min read
Evaluation Paper on Query Plan Representation accepted at VLDB 2024
Paper on learned R-tree packing accepted at SIGMOD 2024

Congratulations to Jingyi for publishing the paper “PLATON: Top-down R-tree Packing with Learned Partition Policy” at SIGMOD 2024.
Aug 26, 2023 1 min read
Paper on learned R-tree packing accepted at SIGMOD 2024
Paper on multi-query optimization accepted at SIGMOD 2024

Congratulations to Songsong, Yile for publishing the paper “Lemo: A Cache-Enhanced Learned Optimizer for Concurrent Queries” at SIGMOD 2024.
Aug 26, 2023 2 min read
Paper on multi-query optimization accepted at SIGMOD 2024
Paper on selectivity estimation for set-valued data accepted at SIGMOD 2024

Congratulations to Zizhong for publishing the paper “Selectivity Estimation for Queries Containing Predicates over Set-Valued Attributes” at SIGMOD 2024.
Aug 26, 2023 1 min read
Paper on selectivity estimation for set-valued data accepted at SIGMOD 2024
Paper on Learned Space-Filling Curve accepted at VLDB 2023

Congratulations to Jiangneng for publishing the paper “Towards Designing and Learning Piecewise Space-Filling Curves” at VLDB 2023.
May 1, 2023 1 min read
Paper on Learned Space-Filling Curve accepted at VLDB 2023
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