Journal Articles
He, Dan, Kim, Jiwon, Shi, Hua and Ruan, Boyu (2023). Autonomous anomaly detection on traffic flow time series with reinforcement learning. Transportation Research Part C: Emerging Technologies, 150 104089, 1-21. doi: 10.1016/j.trc.2023.104089
He, Dan, Zhou, Thomas, Zhou, Xiaofang and Kim, Jiwon (2022). An efficient algorithm for maximum trajectory coverage query with approximation guarantee. IEEE Transactions on Intelligent Transportation Systems, PP (99), 1-13. doi: 10.1109/tits.2022.3207499
Li, Jiajia, Ni, Cancan, He, Dan, Li, Lei, Xia, Xiufeng and Zhou, Xiaofang (2022). Efficient kNN query for moving objects on time-dependent road networks. The VLDB Journal, 1-20. doi: 10.1007/s00778-022-00758-w
He, Dan, Wang, Sibo, Zhou, Xiaofang and Cheng, Reynold (2021). GLAD: a grid and labeling framework with scheduling for conflict-aware kNN queries. IEEE Transactions on Knowledge and Data Engineering, 33 (4) 8845640, 1-1. doi: 10.1109/tkde.2019.2942585
He, Dan, Wang, Sibo, Ruan, Boyu, Zheng, Bolong and Zhou, Xiaofang (2019). Efficient and robust data augmentation for trajectory analytics: a similarity-based approach. World Wide Web, 23 (1), 361-387. doi: 10.1007/s11280-019-00695-9
Conference Papers
Chao, Pingfu, He, Dan, Li, Lei, Zhang, Mengxuan and Zhou, Xiaofang (2021). Efficient Trajectory Contact Query Processing. 26th International Conference, DASFAA 2021, Taipei, Taiwan, 11–14 April 2021. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-73194-6_44
Xu, Yehong, He, Dan, Chao, Pingfu, Kim, Jiwon, Hua, Wen and Zhou, Xiaofang (2020). Route reconstruction using low-quality bluetooth readings. 28th International Conference on Advances in Geographic Information Systems, Online, 3 - 6 November 2020. New York NY, United States: Association for Computing Machinery. doi: 10.1145/3397536.3422224
Li, Mengqi, He, Dan and Zhou, Xiaofang (2020). Efficient kNN Search with occupation in large-scale on-demand ride-hailing. 31st Australasian Database Conference, ADC 2020, Melbourne, VIC, Australia, 3–7 February, 2020. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-39469-1_3
He, Dan, Wang, Sibo, Zhou, Xiaofang and Cheng, Reynold (2019). An efficient framework for correctness-aware kNN queries on road networks. 35th International Conference on Data Engineering (ICDE 2019), Macao, Macao, 8-11 April 2019. New York, NY, United States: IEEE Computer Society. doi: 10.1109/ICDE.2019.00118
He, Dan, Ruan, Boyu, Zheng, Bolong and Zhou, Xiaofang (2018). Origin-destination trajectory diversity analysis: efficient top-k diversified search. 19th IEEE International Conference on Mobile Data Management, MDM 2018, Aalborg University, Aalborg, Denmark, 26-28 June 2018. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers Inc.. doi: 10.1109/MDM.2018.00030
Peixoto, Douglas Alves, Zhou, Xiaofang, Hung, Nguyen Quoc Viet, He, Dan and Stantic, Bela (2018). A system for spatial-temporal trajectory data integration and representation. 23rd International Conference on Database Systems for Advanced Applications, DASFAA 2018, Gold Coast, QLD, Australia, 21-24 May 2018. Heidelberg, Germany: Springer Verlag. doi: 10.1007/978-3-319-91458-9_53
He, Dan, Ruan, Boyu, Zheng, Bolong and Zhou, Xiaofang (2018). Trajectory set similarity measure: An EMD-based approach. 29th Australasian Database Conference, ADC 2018, Gold Coast, QLD, Australia, 24-27 May 2018. Heidelberg, Germany: Springer Verlag. doi: 10.1007/978-3-319-92013-9_3
Chao, Pingfu, He, Dan, Sadiq, Shazia, Zheng, Kai and Zhou, Xiaofang (2017). A performance study on large-scale data analytics using disk-based and in-memory database systems. 2017 IEEE International Conference on Big Data and Smart Computing, BigComp 2017, Jeju, South Korea, 13 - 16 February 2017. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/BIGCOMP.2017.7881706
Huang, Mingkai, He, Dan, Liu, Xianhua, Tan, Mingxing and Cheng, Xu (2015). An energy-efficient branch prediction with grouped global history. 44th Annual International Conference on Parallel Processing Workshops (ICPPW), Beijing, China, 1-4 September 2015. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icpp.2015.23
Thesis
He, Dan (2020). Efficient quality-aware spatiotemporal data analytics. PhD Thesis, School of Information Technology and Electrical Engineering, The University of Queensland. doi: 10.14264/uql.2020.659