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2024 Conference Publication EGNN-AD: An effective graph neural network-based approach for anomaly detection on edge-attributed graphsWang, 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 |
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2023 Conference Publication Map-matching on wireless traffic sensor data with a sequence-to-sequence modelZhu, 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 |
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2023 Conference Publication Heterogeneous region embedding with prompt learningZhou, 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 |
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2021 Conference Publication Efficient Trajectory Contact Query ProcessingChao, 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 |
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2020 Conference Publication Route reconstruction using low-quality bluetooth readingsXu, 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 |
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2020 Conference Publication Efficient kNN Search with occupation in large-scale on-demand ride-hailingLi, 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 |
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2019 Conference Publication An efficient framework for correctness-aware kNN queries on road networksHe, 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 |
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2018 Conference Publication Origin-destination trajectory diversity analysis: efficient top-k diversified searchHe, 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 |
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2018 Conference Publication A system for spatial-temporal trajectory data integration and representationPeixoto, 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 |
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2018 Conference Publication Trajectory set similarity measure: An EMD-based approachHe, 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 |
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2017 Conference Publication A performance study on large-scale data analytics using disk-based and in-memory database systemsChao, 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 |
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2015 Conference Publication An energy-efficient branch prediction with grouped global historyHuang, 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 |
