Dr Dan He
Postdoctoral Research Fellow
School of Civil Engineering
Researcher biography
2016 - 2020, Ph.D., Data Science, University of Queensland (UQ), Supervised by Prof. Xiaofang Zhou and Prof. Sibo Wang
Journal Articles
Shi, Hua, He, Dan, Jin, Fengmei, Hua, Wen, Kim, Jiwon, Wang, Qilin and Zhou, Xiaofang (2025). A survey and experimental study on neural trajectory-user linking models. IEEE Transactions on Knowledge and Data Engineering, 37 (12), 6782-6798. doi: 10.1109/TKDE.2025.3607902
Li, Gen, Feng, Tao, He, Dan, Yan, Li and Kim, Jiwon (2025). Activity-aware urban area embedding with contrastive learning for intelligent transportation systems applications. Transportation Research Part C: Emerging Technologies, 178 105252, 1-23. doi: 10.1016/j.trc.2025.105252
Li, Xiaocui, He, Dan and Zhang, Xinyu (2025). Efficient algorithms for approximate k-radius coverage query on large-scale road networks. Ieee Transactions On Intelligent Transportation Systems, 26 (2), 1631-1644. doi: 10.1109/TITS.2024.3510532
Li, Jiajia, Liu, Chunhui, He, Dan, Li, Lei, Zhou, Xiaofang and Zhu, Rui (2025). Dynamic route optimization with multi-category constraints for POIs visit. IEEE Transactions on Intelligent Transportation Systems, 26 (3), 3499-3512. doi: 10.1109/tits.2024.3520580
Tran, Thanh, He, Dan, Kim, Jiwon and Hickman, Mark (2023). MSGNN: A Multi-structured Graph Neural Network model for real-time incident prediction in large traffic networks. Transportation Research Part C: Emerging Technologies, 156 104354, 104354. doi: 10.1016/j.trc.2023.104354
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
Wang, Hewen, Hooi, Bryan, He, Dan, Liu, Juncheng and Xiao, Xiaokui (2024). EGNN-AD: An effective graph neural network-based approach for anomaly detection on edge-attributed graphs. 29th International Conference, DASFAA 2024, Gifu, Japan, 2-5 July 2024. Heidelberg, Germany: Springer. doi: 10.1007/978-981-97-5572-1_21
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. 24th IEEE International Conference on Mobile Data Management (MDM), Singapore, Singapore, 3-6 July 2023. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/mdm58254.2023.00048
Zhou, Silin, He, Dan, Chen, Lisi, Shang, Shuo and Han, Peng (2023). Heterogeneous region embedding with prompt learning. Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23), Washington, DC, United States, 7–14 February 2023. Washington, DC, United States: AAAI Press. doi: 10.1609/aaai.v37i4.25625
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
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
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
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