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Points-of-Interest Relationship Inference with Spatial-enriched Graph Neural Networks


Feb 28, 2022
Yile Chen, Xiucheng Li, Gao Cong, Cheng Long, Zhifeng Bao, Shang Liu, Wanli Gu, Fuzheng Zhang

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Spatial Object Recommendation with Hints: When Spatial Granularity Matters


Jan 08, 2021
Hui Luo, Jingbo Zhou, Zhifeng Bao, Shuangli Li, J. Shane Culpepper, Haochao Ying, Hao Liu, Hui Xiong

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* SIGIR Conference (2020) 781-790 

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


Jan 05, 2021
Hai Lan, Zhifeng Bao, Yuwei Peng

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* This paper was accepted by Data Science and Engineering (DSEJ) in Dec, 2020 

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


Oct 27, 2020
Sheng Wang, Yuan Sun, Zhifeng Bao

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* PVLDB, 14(2): 163 - 175, 2021 
* accepted to VLDB 2021; this is a technical report with five-page appendix 

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Temporal Network Representation Learning via Historical Neighborhoods Aggregation


Mar 30, 2020
Shixun Huang, Zhifeng Bao, Guoliang Li, Yanghao Zhou, J. Shane Culpepper

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* 28 Pages, published in 2020 IEEE International Conference on Data Engineering (ICDE 2020) 

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Crowdsourced Collective Entity Resolution with Relational Match Propagation


Feb 21, 2020
Jiacheng Huang, Wei Hu, Zhifeng Bao, Yuzhong Qu

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* Accepted by the 36th IEEE International Conference on Data Engineering (ICDE 2020) 

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


Jan 07, 2019
Guangliang Gao, Zhifeng Bao, Jie Cao, A. K. Qin, Timos Sellis, Fellow, IEEE, Zhiang Wu

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* Submitted to IEEE TKDE 

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