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2021 Journal Article A Framework to Support Continuous Range Queries over Multi-Attribute TrajectoriesXu, 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 |
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2021 Journal Article How Context or Knowledge Can Benefit Healthcare Question AnsweringWang, 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 |
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2020 Journal Article Towards an Efficient Weighted Random Walk DominationMo, 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 |
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2020 Conference Publication An Index Advisor Using Deep Reinforcement LearningLan, 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 |
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2020 Journal Article On the efficiency of K-means clustering : evaluation, optimization, and algorithm selectionWang, 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 |
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2020 Journal Article Querying recurrent convoys over trajectory dataYadamjav, 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 |
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2020 Journal Article Differentially private publication of streaming trajectory dataDing, 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 |
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2020 Conference Publication Efficient mining of outlying sequence patterns for analyzing outlierness of sequence dataWang, 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 |
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2020 Journal Article IMO : a toolbox for simulating and querying "infected" moving objectsXu, 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 |
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2020 Journal Article FASTS : a satisfaction-boosting bus scheduling assistantMo, 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 |
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2020 Journal Article Towards an Optimal Outdoor Advertising Placement : When a Budget Constraint Meets Moving TrajectoriesZhang, 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 |
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2020 Conference Publication Effective Travel Time Estimation: When Historical Trajectories over Road Networks MatterYuan, 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 |
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2020 Journal Article Interactive resource recommendation with optimization by tag association and significance analysisXie, 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 |
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2020 Conference Publication HQADeepHelper: A Deep Learning System for Healthcare Question AnsweringLuo, 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 |
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2020 Conference Publication Online Anomalous Trajectory Detection with Deep Generative Sequence ModelingLiu, 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 |
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2020 Journal Article A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and ChallengesTedjopurnomo, 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 |
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2020 Conference Publication Spatial object recommendation with hints: when spatial granularity mattersLuo, 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 |
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2019 Conference Publication Querying Continuous Recurrent Convoys of InterestYadamjav, 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 |
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2019 Journal Article Incorporating word attention with convolutional neural networks for abstractive summarizationYuan, 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 |
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2019 Journal Article ITAA : an intelligent trajectory-driven outdoor advertising deployment assistantZhang, 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 |
