Overview
Availability
- Professor Zhifeng Bao is:
- Available for supervision
Works
Search Professor Zhifeng Bao’s works on UQ eSpace
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
2021
Conference Publication
Robust Road Network Representation Learning : When Traffic Patterns Meet Traveling Semantics
Chen, Yile, Li, Xiucheng, Cong, Gao, Bao, Zhifeng, Long, Cheng, Liu, Yiding, Chandran, Arun Kumar and Ellison, Richard (2021). Robust Road Network Representation Learning : When Traffic Patterns Meet Traveling Semantics. CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Online, 1 - 5 November 2021. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3459637.3482293
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Funding
Current funding
Supervision
Availability
- Professor Zhifeng Bao is:
- Available for supervision
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Supervision history
Current supervision
-
Doctor Philosophy
Enhancing Effectiveness and Interpretability of Autonomous Agents for Complex Data Science Workflows Through Structured Domain Knowledge Integration
Principal Advisor
Other advisors: Professor Shane Culpepper, Dr Tingting Wang
Media
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