Selected & Recent

Publications

Underlined name indicates corresponding/first author. For the complete and up-to-date list, see my Google Scholar and DBLP.

Missing Value Imputation in Tabular Data Lakes Unleashed: A Hybrid Approach

Feng Luo, Hai Lan, Hui Luo, Zhifeng Bao, J. Shane Culpepper, Shazia Sadiq, Xiaoli Wang · VLDBJ 2026
Benchmarking RL-Enhanced Spatial Indices Against Traditional, Advanced, and Learned Counterparts

Guanli Liu, Renata Borovica-Gajic, Hai Lan, Zhifeng Bao · ICDE 2026
AgenticScholar: Agentic Data Management with Pipeline Orchestration for Scholarly Corpora

Hai Lan, Tingting Wang, Zhifeng Bao, Guoliang Li, Daomin Ji, Ge Lee, Feng Luo, Zi Huang, Hailang Qiu, Gang Hua · SIGMOD 2026 · System
Practical Parameterized Query Optimization via Efficient Plan Reuse and List-wise Ranking

Hai Lan, Yang Yu, Zhifeng Bao, Zi Huang, Yuwei Peng · SIGMOD 2026
Cardinality Estimation for Similarity Search on High-Dimensional Data Objects: The Impact of Reference Objects

Hai Lan, Shixun Huang, Zhifeng Bao, Renata Borovica-Gajic · VLDB 2025
A Fully On-Disk Updatable Learned Index

Hai Lan, Zhifeng Bao, J. Shane Culpepper, Renata Borovica-Gajic, Yu Dong · ICDE 2024
Updatable Learned Indexes Meet Disk-Resident DBMS — From Evaluations to Design Choices

Hai Lan, Zhifeng Bao, J. Shane Culpepper, Renata Borovica-Gajic · SIGMOD 2023
VRE: A Versatile, Robust, and Economical Trajectory Data System

Hai Lan, Jiong Xie, Zhifeng Bao, Feifei Li, Wei Tian, Fang Wang, Sheng Wang, Ailin Zhang · VLDB 2022
A Survey on Advancing the DBMS Query Optimizer: Cardinality Estimation, Cost Model, and Plan Enumeration

Hai Lan, Zhifeng Bao, Yuwei Peng · Data Science and Engineering 2021
An Index Advisor Using Deep Reinforcement Learning

Hai Lan, Zhifeng Bao, Yuwei Peng · CIKM 2020 · Code

Full list on Google Scholar →