Gao Cong
Professor
Researches geospatial, textual and mobility data management, large-scale data mining and recommendation.
Gao Cong's lab at NTU works on data management & big data and recommendation, search & web. 66 papers since 2023, 50 at top venues, mostly SIGMOD and VLDB. 12 PhD students. 33 alumni, most often to Alibaba and Apple.
At a glance
- papers, 2023–2026
- 17/ year
- at T1 venues
- 76%
- PhD students
- 12
- MS students
- 0
- alumni listed
- 33
Papers by yearfrom the lab homepage, 2023–2026
- 15 papers2026 · T1 10 · collecting
- 23 papers2025 · T1 16
- 19 papers2024 · T1 15
- 9 papers2023 · T1 9
T1 venuesOtherVenues: SIGMOD, VLDB, ICDE, KDD, NeurIPS
Research focuspaper titles that use each topic's words
- Data management & big data13 papers
- Recommendation, search & web5 papers
- geospatial3 papers
- recommendation2 papers
- large-scale data0 papers
Paper list
From the lab homepage.
202615 papers
- ICDE (T1)ARCADE: A Real-Time Data System for Hybrid and Continuous Query Processing across Diverse Data Modalities
- SIGMOD (T1)Are Learned DBMS Components Robust to Workload Drift?
- ICDE (T1)CARROT: A Learned Cost-Constrained Retrieval Optimization System for RAG
- KDD (T1)CausalPOI: Spatio-Temporal Graph-Based Causal Modeling for Cold-Start POI Check-in Forecasting
- WWW (T1)Cross-city Time Series Forecasting with Retrieval-Augmented Large Language Models
- VLDB DemoDemonstrating TOFFEE: A Learned System for Synthesizing Data Agent Trajectories at Scale
- IEEE Transactions on Knowledge and Data Engineering (TKDE)Disentangling Dynamics: Advanced, Scalable and Explainable Imputation for Multivariate Time Series
- KDD (T1)FDABench: A Benchmark for Data Agents on Analytical Queries over Heterogeneous Data
- SIGMOD (T1)GoodTP: An Effective Data Selection Framework for Enhancing Trajectory Similarity Learning via Monte Carlo Tree Search
- SIGMOD DemoMULLER: A Multimodal Data Lake Format for Collaborative AI Data Workflows
- ICDE (T1)SOLAR: Efficient Spatial Queries on Real-time LSM-based Storage
- VLDB (T1)TATA: An Efficient Framework for Task Transfer in Query Plan Representation
202523 papers
- ACM Trans. Inf. Syst. 43(3): 73:1-73:30ARTS: A General and Efficient Multi-Task Self-Prompt Framework for Explainable Sequential Recommendation
- SIGMOD (T1)BT-Tree: A Reinforcement Learning Based Index for Big Trajectory Data
- SIGMOD (T1)CAMAL: Optimizing LSM-trees via Active Learning
- SIGMOD (T1)DEG: Efficient Hybrid Vector Search Using the Dynamic Edge Navigation Graph
- SIGMOD Conference Companion (Demo)Demonstrating MAST: An Efficient System for Point Cloud Data Analytics
- KDD (T1)Enhancing Large Language Models for Mobility Analytics with Semantic Location Tokenization
- IEEE Trans. Knowl. Data Eng. 37(1): 291-305Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis
- KDD (T1)Foundation Models for Spatio-Temporal Data Science: A Tutorial and Survey
- ICML (T1)FSTLLM: Spatio-Temporal LLM for Few Shot Time Series Forecasting
- VLDB (T1)GeoBloom: Revisiting Lightweight Models for Geographic Information Retrieval
- NeurIPS (T1)HubGT: Fast Graph Transformer with Decoupled Hierarchy Labeling
- VLDB J. 34(3)LIST: learning to index spatio-textual data for embedding based spatial keyword queries
202419 papers
- VLDB (T1)A Comparative Study and Component Analysis of Query Plan Representation Techniques in ML4DB Studies
- ICDE (T1)AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent Trajectory Prediction
- ICLR (T1)AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction
- CIKM (T1)City Foundation Models for Learning General Purpose Representations from OpenStreetMap
- ICDE (T1)Collectively Simplifying Trajectories in a Database: A Query Accuracy Driven Approach
- SIGMOD (T1)Lemo: A Cache-Enhanced Learned Optimizer for Concurrent Queries
- The WebMMPOI: A Multi-Modal Content-Aware Framework for POI Recommendations
- VLDB (T1)Nuhuo: An Effective Estimation Model for Traffic Speed Histogram Imputation on A Road Network
- CIKM (T1)On Evaluation Metrics for Diversity-enhanced Recommendations
- ACM Transactions on Spatial Algorithms and SystemsOn the opportunities and challenges of foundation models for geoai (vision paper)
- SIGMOD (T1)PLATON: Top-down R-tree Packing with Learned Partition Policy
- ICDE (T1)Quantum Algorithm for Maximum K-Plex Problem
20239 papers
- SIGMOD (T1)Effectiveness Perspectives and a Deep Relevance Model for Spatial Keyword Queries
- VLDB (T1)Learned Index Benefits: Machine Learning Based Index Performance Estimation
- SIGMOD (T1)Mining Geospatial Relationships from Text
- ICLR (T1)Multivariate Time-series Imputation with Disentangled Temporal Representations
- ICDE (T1)Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning
- SIGMOD (T1)The RLR-Tree: A Reinforcement Learning Based R-Tree for Spatial Data
- VLDB (T1)Towards Designing and Learning Piecewise Space-Filling Curves
- KDD (T1)Urban Region Representation Learning with OpenStreetMap Building Footprints
- SIGMOD (T1)WISK: A Workload-aware Learned Index for Spatial Keyword Queries
Where alumni went33 listed, 56% to industry
Industry 9Academia 7
Most often to
- Alibaba
- Apple
- Huawei
Also to
- Beijing University of Posts and Telecommunications Beijing
- Hong Kong Baptist University
- NUS
Apply to NTUFall 2027
Not announced yet
Computing and Data Science PhD
- Round
- Main
- Opens
- —
- GRE
- not required
- English
- TOEFL/IELTS
- Fee
- See program page
Not yet confirmed for this intake.
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