Selected Publications
Recent papers, grouped by topic and listed newest first. For the full list, see Google Scholar or DBLP.
Vector databases & ANN search
- RemoteANN: A Native Vector Search Engine for Cloud Object StoragearXiv'26
- RaBitQ-SSD: Split Codes and Pipelined I/O for SSD-Resident Vector SearcharXiv'26
- GPU-Native Approximate Nearest Neighbor Search with IVF-RaBitQ: Fast Index Build and Searchcode · in cuVSVLDB'26
- Revisiting RaBitQ and TurboQuant: A Symmetric Comparison of Methods, Theory, and ExperimentsVecDB@VLDB'26
- Efficient and Robust Out-Of-Distribution Vector Similarity Search with Cross-Distribution Monotonic GraphSIGMOD'26
- Practical and Asymptotically Optimal Quantization of High-Dimensional Vectors for ANN Search (Extended RaBitQ)SIGMOD'25
- SymphonyQG: Towards Symphonious Integration of Quantization and Graph for ANN SearchSIGMOD'25
- iRangeGraph: Improvising Range-dedicated Graphs for Range-filtering Nearest Neighbor SearchSIGMOD'25
- DEG: Efficient Hybrid Vector Search Using the Dynamic Edge Navigation GraphSIGMOD'25
- The RaBitQ LibrarycodeVecDB@ICML'25
- High-Dimensional Vector Quantization: General Framework, Recent Advances, and Future DirectionsIEEE DE Bulletin'24
- RaBitQ: Quantizing High-Dimensional Vectors with a Theoretical Error Bound for Approximate Nearest Neighbor SearchSIGMOD'24
- High-Dimensional Approximate Nearest Neighbor Search: with Reliable and Efficient Distance Comparison Operations (ADSampling)SIGMOD'23
Machine learning for spatial data, time series & graphs
- Towards Cross-Modality Modeling for Time Series Analytics: A Survey in the LLM EraIJCAI'25
- Generative Human Trajectory Recovery via Embedding-Space Conditional DiffusionICML'25
- Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge DistillationICDE'25
- TimeCMA: Towards LLM-Empowered Time Series Forecasting via Cross-Modality AlignmentAAAI'25
- KITS: Inductive Spatio-Temporal Kriging with Increment Training StrategyAAAI'25
- HHGT: Hierarchical Heterogeneous Graph Transformer for Heterogeneous Graph Representation LearningWSDM'25
- AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality PredictionICLR'24
- Spatial-Temporal Large Language Model for Traffic Prediction (ST-LLM)MDM'24
Data management & mining for spatial data, time series & graphs
- Fast Maximum Common Subgraph Search: A Redundancy-Reduced Backtracking ApproachSIGMOD'25
- BT-Tree: A Reinforcement Learning Based Index for Big Trajectory DataSIGMOD'25
- Fast Maximal Quasi-clique Enumeration: A Pruning and Branching Co-Design ApproachSIGMOD'24
- Efficient k-Clique Listing: An Edge-Oriented Branching StrategySIGMOD'24
- Collectively Simplifying Trajectories in a Database: A Query Accuracy Driven ApproachICDE'24
- The RLR-Tree: A Reinforcement Learning Based R-Tree for Spatial DataSIGMOD'23
- Maximum k-Biplex Search on Bipartite Graphs: A Symmetric-BK Branching ApproachSIGMOD'23
- Towards Designing and Learning Piecewise Space-Filling CurvesVLDB'23
- Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement LearningICDE'23