Zhifeng Bao

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RMIT University

Spatial Object Recommendation with Hints: When Spatial Granularity Matters

Existing spatial object recommendation algorithms generally treat object...
01/08/2021 ∙ by Hui Luo, et al. ∙ 8 ∙ share

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A Survey on Advancing the DBMS Query Optimizer: Cardinality Estimation, Cost Model, and Plan Enumeration

Query optimizer is at the heart of the database systems. Cost-based opti...
01/05/2021 ∙ by Hai Lan, et al. ∙ 0 ∙ share

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

This paper presents a thorough evaluation of the existing methods that a...
10/13/2020 ∙ by Sheng Wang, et al. ∙ 0 ∙ share

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Dynamic Ridesharing in Peak Travel Periods

In this paper, we study a variant of the dynamic ridesharing problem wit...
04/06/2020 ∙ by Hui Luo, et al. ∙ 0 ∙ share

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Temporal Network Representation Learning via Historical Neighborhoods Aggregation

Network embedding is an effective method to learn low-dimensional repres...
03/30/2020 ∙ by Shixun Huang, et al. ∙ 0 ∙ share

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A Survey on Trajectory Data Management, Analytics, and Learning

Recent advances in sensor and mobile devices have enabled an unprecedent...
03/25/2020 ∙ by Sheng Wang, et al. ∙ 0 ∙ share

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Bus Frequency Optimization: When Waiting Time Matters in User Satisfaction

Reorganizing bus frequency to cater for the actual travel demand can sav...
03/23/2020 ∙ by Songsong Mo, et al. ∙ 0 ∙ share

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Crowdsourced Collective Entity Resolution with Relational Match Propagation

Knowledge bases (KBs) store rich yet heterogeneous entities and facts. E...
02/21/2020 ∙ by Jiacheng Huang, et al. ∙ 0 ∙ share

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Location-Centered House Price Prediction: A Multi-Task Learning Approach

Accurate house prediction is of great significance to various real estat...
01/07/2019 ∙ by Guangliang Gao, et al. ∙ 0 ∙ share

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Trajectory-driven Influential Billboard Placement

In this paper we propose and study the problem of trajectory-driven infl...
02/06/2018 ∙ by Ping Zhang, et al. ∙ 0 ∙ share

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Zhifeng Bao

Featured Co-authors

Hao Liu

Hui Xiong

Wei Hu

Sheng Wang

Ping Zhang

Jie Cao

Yuzhong Qu

Guoliang Li

Yuchen Li

Yipeng Zhang

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Spatial Object Recommendation with Hints: When Spatial Granularity Matters

A Survey on Advancing the DBMS Query Optimizer: Cardinality Estimation, Cost Model, and Plan Enumeration

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

Dynamic Ridesharing in Peak Travel Periods

Temporal Network Representation Learning via Historical Neighborhoods Aggregation

A Survey on Trajectory Data Management, Analytics, and Learning

Bus Frequency Optimization: When Waiting Time Matters in User Satisfaction

Crowdsourced Collective Entity Resolution with Relational Match Propagation

Location-Centered House Price Prediction: A Multi-Task Learning Approach

Trajectory-driven Influential Billboard Placement