Cheng Long
Associate Professor
Works on data management and mining, including high-dimensional vector search for retrieval-augmented generation, learned spatial data management and urban mobility mining.
Cheng Long's lab at NTU works on data management & big data, time series, anomaly & spatio-temporal data and learning theory & optimization. 28 papers since 2023. 8 PhD students. 14 alumni.
At a glance
- papers, 2023–2026
- 7/ year
- at T1 venues
- 0%
- PhD students
- 8
- MS students
- 0
- alumni listed
- 14
Papers by yearfrom the lab homepage, 2023–2026
- 3 papers2026 · T1 0 · collecting
- 13 papers2025 · T1 0
- 7 papers2024 · T1 0
- 5 papers2023 · T1 0
T1 venuesOther
Research focuspaper titles that use each topic's words
- Time series, anomaly & spatio-temporal data7 papers
- Learning theory & optimization6 papers
- Data management & big data2 papers
- data management0 papers
- management0 papers
Paper list
From the lab homepage.
20263 papers
- SIGMOD'26Efficient and Robust Out-Of-Distribution Vector Similarity Search with Cross-Distribution Monotonic Graph
- VLDB'26GPU-Native Approximate Nearest Neighbor Search with IVF-RaBitQ: Fast Index Build and Search
- VecDB@VLDB'26Revisiting RaBitQ and TurboQuant: A Symmetric Comparison of Methods, Theory, and Experiments
202513 papers
- SIGMOD'25BT-Tree: A Reinforcement Learning Based Index for Big Trajectory Data
- SIGMOD'25DEG: Efficient Hybrid Vector Search Using the Dynamic Edge Navigation Graph
- ICDE'25Efficient Multivariate Time Series Forecasting via Calibrated LMs with Privileged Knowledge Distillation
- SIGMOD'25Fast Maximum Common Subgraph Search: A Redundancy-Reduced Backtracking Approach
- ICML'25Generative Human Trajectory Recovery via Embedding-Space Conditional Diffusion
- WSDM'25HHGT: Hierarchical Heterogeneous Graph Transformer for Heterogeneous Graph Representation Learning
- SIGMOD'25iRangeGraph: Improvising Range-dedicated Graphs for Range-filtering Nearest Neighbor Search
- AAAI'25KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy
- SIGMOD'25Practical and Asymptotically Optimal Quantization of High-Dimensional Vectors for ANN Search
- SIGMOD'25SymphonyQG: Towards Symphonious Integration of Quantization and Graph for ANN Search
- VecDB@ICML'25The RaBitQ Library
- AAAI'25TimeCMA: Towards LLM-Empowered Time Series Forecasting via Cross-Modality Alignment
20247 papers
- ICLR'24AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction
- ICDE'24Collectively Simplifying Trajectories in a Database: A Query Accuracy Driven Approach
- SIGMOD'24Efficient k-Clique Listing: An Edge-Oriented Branching Strategy
- SIGMOD'24Fast Maximal Quasi-clique Enumeration: A Pruning and Branching Co-Design Approach
- IEEE DE Bulletin'24High-Dimensional Vector Quantization: General Framework, Recent Advances, and Future Directions
- SIGMOD'24RaBitQ: Quantizing High-Dimensional Vectors with a Theoretical Error Bound for ANN Search
- MDM'24Spatial-Temporal Large Language Model for Traffic Prediction
20235 papers
- SIGMOD'23High-Dimensional ANN Search: with Reliable and Efficient Distance Comparison Operations
- SIGMOD'23Maximum k-Biplex Search on Bipartite Graphs: A Symmetric-BK Branching Approach
- ICDE'23Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning
- SIGMOD'23The RLR-Tree: A Reinforcement Learning Based R-Tree for Spatial Data
- VLDB'23Towards Designing and Learning Piecewise Space-Filling Curves
Where alumni went14 listed
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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