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, 32 (3), 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
Zhu, Zichun, He, Dan, Hua, Wen, Kim, Jiwon and Shi, Hua (2023). Map-matching on Wireless Traffic Sensor Data with a Sequence-to-Sequence Model. IEEE. doi: 10.1109/mdm58254.2023.00048
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