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Professor Zhifeng Bao

Professor
School of Electrical Engineering and Computer Science
+61 7 344 38734
zhifeng.bao@uq.edu.au
View researcher profile

Publications

Journal Articles (17)
Conference Papers (15)

Journal Articles

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
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
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
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
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
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
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
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
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
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
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
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
Yuan, Chengzhe, Bao, Zhifeng, Sanderson, Mark and Tang, Yong (2019). Incorporating word attention with convolutional neural networks for abstractive summarization. World Wide Web, 23 (1), 267-287. doi: 10.1007/s11280-019-00709-6
Zhang, Yipeng, Bao, Zhifeng, Mo, Songsong, Li, Yuchen and Zhou, Yanghao (2019). ITAA : an intelligent trajectory-driven outdoor advertising deployment assistant. Proceedings of the VLDB Endowment, 12 (12), 1790-1793. doi: 10.14778/3352063.3352067
Sun, Ji, Shang, Zeyuan, Li, Guoliang, Deng, Dong and Bao, Zhifeng (2019). Balance-aware distributed string similarity-based query processing system. Proceedings of the VLDB Endowment, 12 (9), 961-974. doi: 10.14778/3329772.3329774
Xie, Qing, Xiong, Feng, Han, Tian, Liu, Yongjian, Li, Lin and Bao, Zhifeng (2018). Interactive resource recommendation algorithm based on tag information. World Wide Web-Internet and Web Information Systems, 21 (6), 1655-1673. doi: 10.1007/s11280-018-0532-y
Shen, Yao, Bao, Zhifeng, Qin, Xiaolin and Shen, Jian (2017). Adaptive task scheduling strategy in cloud: when energy consumption meets performance guarantee. World Wide Web-Internet and Web Information Systems, 20 (2), 155-173. doi: 10.1007/s11280-016-0382-4

Conference Papers

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
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
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
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
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
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
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
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
Liu, Yiding, Zhao, Kaiqi, Cong, Gao and Bao, Zhifeng (2020). Online Anomalous Trajectory Detection with Deep Generative Sequence Modeling. 2020 IEEE 36th International Conference on Data Engineering (ICDE), Dallas, TX United States, 20-24 April 2020. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icde48307.2020.00087
Yadamjav, Munkh-Erdene, Bao, Zhifeng, Choudhury, Farhana M., Samet, Hanan and Zheng, Baihua (2019). Querying Continuous Recurrent Convoys of Interest. SIGSPATIAL '19: 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, Chicago, IL United States, 5 - 8 November 2019. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3347146.3359083
Zhang, Yipeng, Li, Yuchen, Bao, Zhifeng, Mo, Songsong and Zhang, Ping (2019). Optimizing Impression Counts for Outdoor Advertising. WSDM '19: The Twelfth ACM International Conference on Web Search and Data Mining, Melbourne, VIC Australia, 11 - 15 February 2019. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3292500.3330829
Wang, Xiaoli, Wang, Rongzhen, Bao, Zhifeng, Liang, Jiayin and Lu, Wei (2019). Effective Medical Archives Processing Using Knowledge Graphs. SIGIR '19: The 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, Paris, France, 21 - 25 July 2019. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3331184.3331350
Wang, Sheng, Shen, Yunzhuang, Bao, Zhifeng and Qin, Xiaolin (2019). Intelligent Traffic Analytics : From Monitoring to Controlling. WSDM '19: The Twelfth ACM International Conference on Web Search and Data Mining, Melbourne, VIC Australia, 11 - 15 February 2019. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3289600.3290615
Li, Mingzhao, Bao, Zhifeng, Choudhury, Farhana and Sellis, Timos (2019). Interactive Visualization of Urban Areas of Interest : A Parameter-Free and Efficient Footprint Method. WSDM '19: The Twelfth ACM International Conference on Web Search and Data Mining, Melbourne, VIC Australia, 11 - 15 February 2019. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3289600.3290612
Xu, Jianqiu, Bao, Zhifeng and Lu, Hua (2019). Continuous range queries over multi-attribute trajectories. IEEE 35th International Conference on Data Engineering (ICDE), Macau, Peoples Republic of China, 8-11 April 2019. Piscataway, NJ, United States: IEEE. doi: 10.1109/ICDE.2019.00154
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