Guanli Liu

According to our database, Guanli Liu authored at least 14 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

CoLSE: A Lightweight and Robust Hybrid Learned Model for Single-Table Cardinality Estimation using Joint CDF.

Lankadinee Rathuwadu, Guanli Liu, Christopher Leckie, Renata Borovica-Gajic

CoRR, December, 2025

Benchmarking RL-Enhanced Spatial Indices Against Traditional, Advanced, and Learned Counterparts.

Guanli Liu, Renata Borovica-Gajic, Hai Lan, Zhifeng Bao

CoRR, December, 2025

DriftBench: Defining and Generating Data and Query Workload Drift for Benchmarking.

Guanli Liu, Renata Borovica-Gajic

CoRR, October, 2025

Priming at Scale: An Evaluation of Using AI to Generate Primes for Mobile Readers.

Namrata Srivastava, Jennifer Healey, Rajiv Jain, Guanli Liu, Ying Ma, Borano Llana, Dragan Gasevic, Tilman Dingler, Shaun Wallace

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025

LLM-Enhanced Processing of Complex Spatial Queries.

Ruiyi Hao, Guanli Liu, Renata Borovica-Gajic

Proceedings of the Databases Theory and Applications, 2025

Advancing Spatial Keyword Queries: From Filters to Unified Vector Embeddings.

Kaan Gocmen, Guanli Liu, Renata Borovica-Gajic

Proceedings of the Databases Theory and Applications, 2025

2024

Efficient Cost Modeling of Space-filling Curves.

Guanli Liu, Lars Kulik, Christian S. Jensen, Tianyi Li, Renata Borovica-Gajic, Jianzhong Qi

Proc. VLDB Endow., September, 2024

2023

Learning Spatial Indices Efficiently.

Guanli Liu

PhD thesis, 2023

Efficient Cost Modeling of Space-filling Curves.

Guanli Liu, Lars Kulik, Christian S. Jensen, Tianyi Li, Jianzhong Qi

CoRR, 2023

Efficient Index Learning via Model Reuse and Fine-tuning.

Guanli Liu, Jianzhong Qi, Lars Kulik, Kazuya Soga, Renata Borovica-Gajic, Benjamin I. P. Rubinstein

Proceedings of the 39th IEEE International Conference on Data Engineering, ICDE 2023, 2023

Efficiently Learning Spatial Indices.

Guanli Liu, Jianzhong Qi, Christian S. Jensen, James Bailey, Lars Kulik

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2021

A Lazy Approach for Efficient Index Learning.

Guanli Liu, Lars Kulik, Xingjun Ma, Jianzhong Qi

CoRR, 2021

2020

Effectively Learning Spatial Indices.

Jianzhong Qi, Guanli Liu, Christian S. Jensen, Lars Kulik

Proc. VLDB Endow., 2020

2017

The Moving K Diversified Nearest Neighbor Query.

Yu Gu, Guanli Liu, Jianzhong Qi, Hongfei Xu, Ge Yu, Rui Zhang

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017