97 citations · 339 across the 18 of their papers we have counts for
18 papers
Updatable Learned Indexes Meet Disk-Resident DBMS -- From Evaluations to Design Choices
Hai Lan, Zhifeng Bao, J. Shane Culpepper +1
Although many updatable learned indexes have been proposed in recent years, whether they can outperform traditional approaches on disk remains unknown. In this study, we revisit an…
Influence Maximization in Real-World Closed Social Networks
Shixun Huang, Wenqing Lin, Zhifeng Bao +1
In the last few years, many closed social networks such as WhatsAPP and WeChat have emerged to cater for people's growing demand of privacy and independence. In a closed social net…
Points-of-Interest Relationship Inference with Spatial-enriched Graph Neural Networks
Yile Chen, Xiucheng Li, Gao Cong +5
As a fundamental component in location-based services, inferring the relationship between points-of-interests (POIs) is very critical for service providers to offer good user exper…
Let Trajectories Speak Out the Traffic Bottlenecks
Hui Luo, Zhifeng Bao, Gao Cong +2
Traffic bottlenecks are a set of road segments that have an unacceptable level of traffic caused by a poor balance between road capacity and traffic volume. A huge volume of trajec…
Public Transport Planning: When Transit Network Connectivity Meets Commuting Demand
Sheng Wang, Yuan Sun, Christopher Musco +1
In this paper, we make a first attempt to incorporate both commuting demand and transit network connectivity in bus route planning (CT-Bus), and formulate it as a constrained optim…
Spatial Object Recommendation with Hints: When Spatial Granularity Matters
Hui Luo, Jingbo Zhou, Zhifeng Bao +5
Existing spatial object recommendation algorithms generally treat objects identically when ranking them. However, spatial objects often cover different levels of spatial granularit…
A Survey on Advancing the DBMS Query Optimizer: Cardinality Estimation, Cost Model, and Plan Enumeration
Hai Lan, Zhifeng Bao, Yuwei Peng
Query optimizer is at the heart of the database systems. Cost-based optimizer studied in this paper is adopted in almost all current database systems. A cost-based optimizer introd…
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…
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…
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…
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…
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…
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…
Location-Centered House Price Prediction: A Multi-Task Learning Approach
Guangliang Gao, Zhifeng Bao, Jie Cao +3
Accurate house prediction is of great significance to various real estate stakeholders such as house owners, buyers, investors, and agents. We propose a location-centered predictio…
Trajectory-driven Influential Billboard Placement
Ping Zhang, Zhifeng Bao, Yuchen Li +3
In this paper we propose and study the problem of trajectory-driven influential billboard placement: given a set of billboards (each with a location and a cost), a database of…
Reverse k Nearest Neighbor Search over Trajectories
Sheng Wang, Zhifeng Bao, J. Shane Culpepper +2
GPS enables mobile devices to continuously provide new opportunities to improve our daily lives. For example, the data collected in applications created by Uber or Public Transport…
Monitoring the Top-m Aggregation in a Sliding Window of Spatial Queries
Farhana M. Choudhury, Zhifeng Bao, J. Shane Culpepper +1
In this paper, we propose and study the problem of top-m rank aggregation of spatial objects in streaming queries, where, given a set of objects O, a stream of spatial queries (kNN…
Breaking Out The XML MisMatch Trap
Yong Zeng, Zhifeng Bao, Guoliang Li +2
In keyword search, when user cannot get what she wants, query refinement is needed and reason can be various. We first give a thorough categorization of the reason, then focus on s…