activity
20122023
most citedA Survey on Advancing the DBMS Query Optimizer: Cardinality Estimation, Cost Model, and Plan Enumeration

97 citations · 339 across the 18 of their papers we have counts for

collaborators
Showing 2020Show all

6 papers · 1 filter

cs.DB2020★ 40 cited

On the Efficiency of K-Means Clustering: Evaluation, Optimization, and Algorithm Selection

Sheng Wang, Yuan Sun, Zhifeng Bao

This paper presents a thorough evaluation of the existing methods that accelerate Lloyd's algorithm for fast k-means clustering. To do so, we analyze the pruning mechanisms of exis…

cs.DB2020★ 25 cited

Dynamic Ridesharing in Peak Travel Periods

Hui Luo, Zhifeng Bao, Farhana M. Choudhury +1

In this paper, we study a variant of the dynamic ridesharing problem with a specific focus on peak hours: Given a set of drivers and rider requests, we aim to match drivers to each…

cs.LG2020★ 1 cited

Temporal Network Representation Learning via Historical Neighborhoods Aggregation

Shixun Huang, Zhifeng Bao, Guoliang Li +2

Network embedding is an effective method to learn low-dimensional representations of nodes, which can be applied to various real-life applications such as visualization, node class…

cs.SI2020★ 5 cited

Bus Frequency Optimization: When Waiting Time Matters in User Satisfaction

Songsong Mo, Zhifeng Bao, Baihua Zheng +1

Reorganizing bus frequency to cater for the actual travel demand can save the cost of the public transport system significantly. Many, if not all, existing studies formulate this a…

cs.DB2020★ 26 cited

A Survey on Trajectory Data Management, Analytics, and Learning

Sheng Wang, Zhifeng Bao, J. Shane Culpepper +1

Recent advances in sensor and mobile devices have enabled an unprecedented increase in the availability and collection of urban trajectory data, thus increasing the demand for more…

cs.DB2020★ 1 cited

Crowdsourced Collective Entity Resolution with Relational Match Propagation

Jiacheng Huang, Wei Hu, Zhifeng Bao +1

Knowledge bases (KBs) store rich yet heterogeneous entities and facts. Entity resolution (ER) aims to identify entities in KBs which refer to the same real-world object. Recent stu…