Full list of publications:
Selected recent publications:
Vector Databases (VectorDB @NTU).
- Practical and Asymptotically Optimal Quantization of High-Dimensional Vectors in Euclidean Space for ANN Search (SIGMOD'25)
- SymphonyQG: Towards Symphonious Integration of Quantization and Graph for ANN Search (SIGMOD'25)
- iRangeGraph: Improvising Range-dedicated Graphs for Range-filtering Nearest Neighbor Search (SIGMOD'25)
- DEG: Efficient Hybrid Vector Search Using the Dynamic Edge Navigation Graph (SIGMOD'25)
- High-Dimensional Vector Quantization: General Framework, Recent Advances, and Future Directions (IEEE DE Bulletin (Sep'24))
- RaBitQ: Quantizing High-Dimensional Vectors with a Theoretical Error Bound for ANN Search (SIGMOD'24)
- High-Dimensional ANN Search: with Reliable and Efficient Distance Comparison Operations (SIGMOD'23)
Machine Learning (on spatial data, time series and graphs).
- Towards Cross-Modality Modeling for Time Series Analytics: A Survey in the LLM Era (IJCAI'25)
- Generative Human Trajectory Recovery via Embedding-Space Conditional Diffusion (ICML'25)
- Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation (ICDE'25)
- TimeCMA: Towards LLM-Empowered Time Series Forecasting via Cross-Modality Alignment (AAAI'25)
- KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy (AAAI'25)
- HHGT: Hierarchical Heterogeneous Graph Transformer for Heterogeneous Graph Representation Learning (WSDM'25)
- AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction (ICLR'24)
- Spatial-Temporal Large Language Model for Traffic Prediction (MDM'24)
Data Management and Mining (on spatial data, time series and graphs).
- Fast Maximum Common Subgraph Search: A Redundancy-Reduced Backtracking Approach (SIGMOD'25)
- BT-Tree: A Reinforcement Learning Based Index for Big Trajectory Data (SIGMOD'25)
- Fast Maximal Quasi-clique Enumeration: A Pruning and Branching Co-Design Approach (SIGMOD'24)
- Efficient k-Clique Listing: An Edge-Oriented Branching Strategy (SIGMOD'24)
- Collectively Simplifying Trajectories in a Database: A Query Accuracy Driven Approach (ICDE'24)
- The RLR-Tree: A Reinforcement Learning Based R-Tree for Spatial Data (SIGMOD'23)
- Maximum k-Biplex Search on Bipartite Graphs: A Symmetric-BK Branching Approach (SIGMOD'23)
- Towards Designing and Learning Piecewise Space-Filling Curves (VLDB'23)
- Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning (ICDE'23)