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2023

Journal Article

Dynamic ridesharing with minimal regret: towards an enhanced engagement among three stakeholders

Wang, Tingting, Luo, Hui, Bao, Zhifeng and Duan, Lei (2023). Dynamic ridesharing with minimal regret: towards an enhanced engagement among three stakeholders. IEEE Transactions on Knowledge and Data Engineering, 35 (4), 3712-3726. doi: 10.1109/tkde.2022.3141368

Dynamic ridesharing with minimal regret: towards an enhanced engagement among three stakeholders

2023

Journal Article

A Query Optimizer for Range Queries over Multi-Attribute Trajectories

Xu, Jianqiu, Lu, Hua and Bao, Zhifeng (2023). A Query Optimizer for Range Queries over Multi-Attribute Trajectories. ACM Transactions on Intelligent Systems and Technology, 14 (1) 12, 1-28. doi: 10.1145/3555811

A Query Optimizer for Range Queries over Multi-Attribute Trajectories

2022

Journal Article

Differentially Private Triangle Counting in Large Graphs

Ding, Xiaofeng, Sheng, Shujun, Zhou, Huajian, Zhang, Xiaodong, Bao, Zhifeng, Zhou, Pan and Jin, Hai (2022). Differentially Private Triangle Counting in Large Graphs. IEEE Transactions on Knowledge and Data Engineering, 34 (11), 5278-5292. doi: 10.1109/tkde.2021.3052827

Differentially Private Triangle Counting in Large Graphs

2022

Journal Article

Towards an Optimal Bus Frequency Scheduling: When the Waiting Time Matters

Mo, Songsong, Bao, Zhifeng, Zheng, Baihua and Peng, Zhiyong (2022). Towards an Optimal Bus Frequency Scheduling: When the Waiting Time Matters. IEEE Transactions on Knowledge and Data Engineering, 34 (9), 4484-4498. doi: 10.1109/tkde.2020.3036573

Towards an Optimal Bus Frequency Scheduling: When the Waiting Time Matters

2022

Journal Article

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

Gao, Guangliang, Bao, Zhifeng, Cao, Jie, Qin, A. K. and Sellis, Timos (2022). Location-Centered House Price Prediction: A Multi-Task Learning Approach. ACM Transactions on Intelligent Systems and Technology, 13 (2), 1-25. doi: 10.1145/3501806

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

2021

Journal Article

AOI-shapes: An Efficient Footprint Algorithm to Support Visualization of User-defined Urban Areas of Interest

Li, Mingzhao, Bao, Zhifeng, Choudhury, Farhana, Samet, Hanan, Duckham, Matt and Sellis, Timos (2021). AOI-shapes: An Efficient Footprint Algorithm to Support Visualization of User-defined Urban Areas of Interest. ACM Transactions on Interactive Intelligent Systems, 11 (3-4), 1-32. doi: 10.1145/3431817

AOI-shapes: An Efficient Footprint Algorithm to Support Visualization of User-defined Urban Areas of Interest

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

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

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

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

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

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

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

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

Journal Article

A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges

Tedjopurnomo, David Alexander, Bao, Zhifeng, Zheng, Baihua, Choudhury, Farhana and Qin, A. K. (2020). A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges. IEEE Transactions on Knowledge and Data Engineering, 1544-1561. doi: 10.1109/tkde.2020.3001195

A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges