Overview
Availability
- Professor Zhifeng Bao is:
- Available for supervision
Works
Search Professor Zhifeng Bao’s works on UQ eSpace
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
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
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
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
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
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
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
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
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
2020
Conference Publication
Online Anomalous Trajectory Detection with Deep Generative Sequence Modeling
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
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
2020
Conference Publication
Spatial object recommendation with hints: when spatial granularity matters
Luo, Hui, Zhou, Jingbo, Bao, Zhifeng, Li, Shuangli, Culpepper, J. Shane, Ying, Haochao, Liu, Hao and Xiong, Hui (2020). Spatial object recommendation with hints: when spatial granularity matters. 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Virtual, 25-30 July 2020. New York, NY, United States: ACM. doi: 10.1145/3397271.3401090
2019
Conference Publication
Querying Continuous Recurrent Convoys of Interest
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
2019
Journal Article
Incorporating word attention with convolutional neural networks for abstractive summarization
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
2019
Journal Article
ITAA : an intelligent trajectory-driven outdoor advertising deployment assistant
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
Funding
Current funding
Supervision
Availability
- Professor Zhifeng Bao is:
- Available for supervision
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