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2021

Journal Article

Dynamic ridesharing in peak travel periods

Luo, Hui, Bao, Zhifeng, Choudhury, Farhana M. and Culpepper, J. Shane (2021). Dynamic ridesharing in peak travel periods. IEEE Transactions on Knowledge and Data Engineering, 33 (7) 8937731, 2888-2902. doi: 10.1109/tkde.2019.2961341

Dynamic ridesharing in peak travel periods

2021

Conference Publication

Minimizing the Regret of an Influence Provider

Zhang, Yipeng, Li, Yuchen, Bao, Zhifeng, Zheng, Baihua and Jagadish, H. V. (2021). Minimizing the Regret of an Influence Provider. SIGMOD/PODS '21: International Conference on Management of Data, Online, 20 - 25 June 2021. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3448016.3457257

Minimizing the Regret of an Influence Provider

2021

Conference Publication

Public Transport Planning : When Transit Network Connectivity Meets Commuting Demand

Wang, Sheng, Sun, Yuan, Musco, Christopher and Bao, Zhifeng (2021). Public Transport Planning : When Transit Network Connectivity Meets Commuting Demand. SIGMOD/PODS '21: International Conference on Management of Data, Online, 20 - 25 June 2021. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3448016.3457247

Public Transport Planning : When Transit Network Connectivity Meets Commuting Demand

2021

Conference Publication

Towards Efficient Motif-based Graph Partitioning: An Adaptive Sampling Approach

Huang, Shixun, Li, Yuchen, Bao, Zhifeng and Li, Zhao (2021). Towards Efficient Motif-based Graph Partitioning: An Adaptive Sampling Approach. 2021 IEEE 37th International Conference on Data Engineering (ICDE), Chania, Greece, 19-22 April 2021. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icde51399.2021.00052

Towards Efficient Motif-based Graph Partitioning: An Adaptive Sampling Approach

2021

Journal Article

A survey on trajectory data management, analytics, and learning

Wang, Sheng, Bao, Zhifeng, Culpepper, J. Shane and Cong, Gao (2021). A survey on trajectory data management, analytics, and learning. ACM Computing Surveys, 54 (2) 39, 1-36. doi: 10.1145/3440207

A survey on trajectory data management, analytics, and learning

2021

Journal Article

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

Lan, Hai, Bao, Zhifeng and Peng, Yuwei (2021). A Survey on Advancing the DBMS Query Optimizer: Cardinality Estimation, Cost Model, and Plan Enumeration. Data Science and Engineering, 6 (1), 86-101. doi: 10.1007/s41019-020-00149-7

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

2021

Journal Article

A Framework to Support Continuous Range Queries over Multi-Attribute Trajectories

Xu, Jianqiu, Bao, Zhifeng and Lu, Hua (2021). A Framework to Support Continuous Range Queries over Multi-Attribute Trajectories. IEEE Transactions on Knowledge and Data Engineering, 35 (2), 1119-1133. doi: 10.1109/tkde.2021.3100650

A Framework to Support Continuous Range Queries over Multi-Attribute Trajectories

2021

Journal Article

How Context or Knowledge Can Benefit Healthcare Question Answering

Wang, Xiaoli, Luo, Feng, Wu, Qingfeng and Bao, Zhifeng (2021). How Context or Knowledge Can Benefit Healthcare Question Answering. IEEE Transactions on Knowledge and Data Engineering, 35 (1), 575-588. doi: 10.1109/tkde.2021.3090253

How Context or Knowledge Can Benefit Healthcare Question Answering

2020

Journal Article

Towards an Efficient Weighted Random Walk Domination

Mo, Songsong, Bao, Zhifeng, Zhang, Ping and Peng, Zhiyong (2020). Towards an Efficient Weighted Random Walk Domination. Proceedings of the Vldb Endowment, 14 (4), 560-572. doi: 10.14778/3436905.3436915

Towards an Efficient Weighted Random Walk Domination

2020

Conference Publication

An Index Advisor Using Deep Reinforcement Learning

Lan, Hai, Bao, Zhifeng and Peng, Yuwei (2020). An Index Advisor Using Deep Reinforcement Learning. CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Online, 19 - 23 October 2020. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3340531.3412106

An Index Advisor Using Deep Reinforcement Learning

2020

Journal Article

On the efficiency of K-means clustering : evaluation, optimization, and algorithm selection

Wang, Sheng, Sun, Yuan and Bao, Zhifeng (2020). On the efficiency of K-means clustering : evaluation, optimization, and algorithm selection. Proceedings of the VLDB Endowment, 14 (2), 163-175. doi: 10.14778/3425879.3425887

On the efficiency of K-means clustering : evaluation, optimization, and algorithm selection

2020

Journal Article

Querying recurrent convoys over trajectory data

Yadamjav, Munkh-Erdene, Bao, Zhifeng, Zheng, Baihua, Choudhury, Farhana M. and Samet, Hanan (2020). Querying recurrent convoys over trajectory data. ACM Transactions on Intelligent Systems and Technology, 11 (5) 59, 1-24. doi: 10.1145/3400730

Querying recurrent convoys over trajectory data

2020

Journal Article

Differentially private publication of streaming trajectory data

Ding, Xiaofeng, Zhou, Wenxiang, Sheng, Shujun, Bao, Zhifeng, Choo, Kim-Kwang Raymond and Jin, Hai (2020). Differentially private publication of streaming trajectory data. Information Sciences, 538, 159-175. doi: 10.1016/j.ins.2020.05.058

Differentially private publication of streaming trajectory data

2020

Conference Publication

Efficient mining of outlying sequence patterns for analyzing outlierness of sequence data

Wang, Tingting, Duan, Lei, Dong, Guozhu and Bao, Zhifeng (2020). Efficient mining of outlying sequence patterns for analyzing outlierness of sequence data. 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), London, England, 19-23 August 2018. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3399671

Efficient mining of outlying sequence patterns for analyzing outlierness of sequence data

2020

Journal Article

IMO : a toolbox for simulating and querying "infected" moving objects

Xu, Jianqiu, Lu, Hua and Bao, Zhifeng (2020). IMO : a toolbox for simulating and querying "infected" moving objects. Proceedings of the VLDB Endowment, 13 (12), 2825-2828. doi: 10.14778/3415478.3415485

IMO : a toolbox for simulating and querying "infected" moving objects

2020

Journal Article

FASTS : a satisfaction-boosting bus scheduling assistant

Mo, Songsong, Bao, Zhifeng, Zheng, Baihua and Peng, Zhiyong (2020). FASTS : a satisfaction-boosting bus scheduling assistant. Proceedings of the VLDB Endowment, 13 (12), 2873-2876. doi: 10.14778/3415478.3415497

FASTS : a satisfaction-boosting bus scheduling assistant

2020

Journal Article

Towards an Optimal Outdoor Advertising Placement : When a Budget Constraint Meets Moving Trajectories

Zhang, Ping, Bao, Zhifeng, Li, Yuchen, Li, Guoliang, Zhang, Yipeng and Peng, Zhiyong (2020). Towards an Optimal Outdoor Advertising Placement : When a Budget Constraint Meets Moving Trajectories. ACM Transactions on Knowledge Discovery from Data, 14 (5), 1-32. doi: 10.1145/3350488

Towards an Optimal Outdoor Advertising Placement : When a Budget Constraint Meets Moving Trajectories

2020

Conference Publication

Effective Travel Time Estimation: When Historical Trajectories over Road Networks Matter

Yuan, Haitao, Li, Guoliang, Bao, Zhifeng and Feng, Ling (2020). Effective Travel Time Estimation: When Historical Trajectories over Road Networks Matter. SIGMOD/PODS '20: International Conference on Management of Data, Portland, OR United States, 14 - 19 June 2020. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3318464.3389771

Effective Travel Time Estimation: When Historical Trajectories over Road Networks Matter

2020

Journal Article

Interactive resource recommendation with optimization by tag association and significance analysis

Xie, Qing, Zhu, Yajie, Xiong, Feng, Li, Lin, Bao, Zhifeng and Liu, Yongjian (2020). Interactive resource recommendation with optimization by tag association and significance analysis. Neurocomputing, 391, 210-219. doi: 10.1016/j.neucom.2018.12.082

Interactive resource recommendation with optimization by tag association and significance analysis

2020

Conference Publication

HQADeepHelper: A Deep Learning System for Healthcare Question Answering

Luo, Feng, Wang, Xiaoli, Wu, Qingfeng, Liang, Jiaying, Qiu, Xueliang and Bao, Zhifeng (2020). HQADeepHelper: A Deep Learning System for Healthcare Question Answering. WWW '20: The Web Conference 2020, Taipei, Taiwan, 20 - 24 April 2020. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3366424.3383539

HQADeepHelper: A Deep Learning System for Healthcare Question Answering