Contact Information
Education Background
2016 - 2020, Ph.D. Candidate, Data Science, University of Queensland (UQ)
Supervisors: Prof. Xiaofang Zhou, Prof. Sibo Wang
2012-2015, M.S., Computer Science, Peking University (PKU)
Supervisor: Prof. Xu Cheng
2008-2012, B.S., Information Security, University of Science and Technology Beijing (USTB)
Research Interest
Spatial-temporal data management and data mining
High-Performance query processing on spatial-temporal database management
Intelligent transportation systems
Traffic prediction with spatial-temporal data
Publications
"MSGNN: A Multi-structured Graph Neural Network Model for Real-time Incident Prediction in Large Traffic Networks", Thanh Tran, Dan He, Jiwon Kim and Mark Hickman. Transportation Research Part C: Emerging Technologies, accepted in September 2023.
"On-line Reinforcement Learning Framework for Real-time Traffic Anomaly Detection", Dan He, Jiwon Kim, Hua Shi and Thanh Tran. Australia Transport Research Forum (ATRF) 2023.
"Trajectory-user linking with a deep neural network", Hua Shi, Dan He, Jiwon Kim and Thanh Tran. Australia Transport Research Forum (ATRF) 2023.
"Area-wide Traffic Incident Duration Prediction: A Multi-task Learning Approach", Thanh Tran, Dan He, Jiwon Kim and Mark Hickman. Australia Transport Research Forum (ATRF) 2023.
"Map-matching on Wireless Traffic Sensor Data with a Sequence-to-Sequence Model", Zichun Zhu, Dan He, Wen Hua, Jiwon Kim, Hua Shi. IEEE International Conference on Mobile Data Management (MDM) 2023.
" Autonomous Anomaly Detection on Traffic Flow Time-series with Reinforcement Learning", Dan He, Jiwon Kim, Hua Shi, Boyu Ruan, Transportation Research Part C: Emerging Technologies, accepted in March 2023.
"Heterogeneous Region Embedding with Prompt Learning", Silin Zhou, Dan He, Lisi Chen, Shuo Shang, Peng Han, Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI) 2023.
"Automatic Traffic Flow Anomaly Detection with Reinforcement Learning", Dan He, Jiwon Kim, Boyu Ruan, Hua Shi. Transportation Research Board Annual Meeting (TRB Annual Meeting) 2023.
"MSGNN: A Multi-structured Graph Neural Network Model for Real-time Incident Prediction in Large Traffic Networks", Thanh Tran, Dan He, Jiwon Kim and Mark Hickman. Transportation Research Board Annual Meeting (TRB Annual Meeting) 2023.
"An Efficient Algorithm for Maximum Trajectory Coverage Query with Approximation Guarantee", Dan He, Thomas Zhou, Xiaofang Zhou. Jiwon Kim. IEEE Transactions on Intelligent Transportation System (IEEE ITS), accepted in September 2022.
"Finding Top-k Optimal Routes with Collective Spatial Keywords on Road Networks", Jiajia Li, Xing Xiong, Lei Li*, Dan He, Chuanyu Zong, Xiaofang Zhou. IEEE International Conference on Data Engineering (ICDE) 2023, to appear.
"Threshold-free Anomaly Detection on Traffic Flow Data with Reinforcement Learning", Dan He, Boyu Ruan, Jiwon Kim, Hua Shi. Australia Transport Research Forum (ATRF) 2022.
"Online Traffic Incident Prediction with Hybrid Graph-based Neural Network and Continual Learning", Thanh Tran, Dan He*, Jiwon Kim and Mark Hickman. Australia Transport Research Forum (ATRF) 2022.
"Efficient kNN Query for Moving Objects on Time-Dependent Road Networks", Jiajia Li, Cancan Ni, Dan He*, Lei Li, Xiufeng Xia, Xiaofang Zhou. Very Large Data Bases (VLDB) Journal, accepted in June 2022.
"Data-driven traffic incident prediction with hybrid graph-based neural network", Thanh Tran, Dan He, Jiwon Kim and Mark Hickman. Australia Transport Research Forum (ATRF) 2021.
"Efficient Trajectory Contact Query Processing", Pingfu Chao, Dan He, Lei Li, Mengxuan Zhang, and Xiaofang Zhou. The International Conference on Database Systems for Advanced Applications (DASFAA) 2021.
"Route Reconstruction on Low-quality Bluetooth Readings", Yehong Xu, Dan He*, Pingfu Chao, Jiwon Kim, Wen Hua and Xiaofang Zhou. International Conference on Advances in Geographic Information Systems SIGSPATIAL 2020.
"Efficient kNN Search with Occupation in Large-scale On-demand Ride-hailing", Mengqi Li, Dan He*, Xiaofang Zhou. Australasian Database Conference (ADC) 2020 (Best Student Paper Honorable Mention), presentation.
"GLAD: A Grid and Labeling Framework with Scheduling for Conflict-Aware kNN Queries ", Dan He, Sibo Wang, Xiaofang Zhou, Reynold Cheng. IEEE Transactions on Knowledge and Data Engineering (TKDE), accepted in September 2019.
"Efficient and Robust Data Augmentation for Trajectory Analytics: A Similarity-based Approach", Dan He, Sibo Wang*, Boyu Ruan, Bolong Zheng, Xiaofang Zhou. World Wide Web: Internet and Web Information Systems (WWW) Journal, accepted in May 2019.
"An Efficient Framework for Correctness-Aware kNN Queries on Road Networks", Dan He, Sibo Wang, Xiaofang Zhou, Reynold Cheng. IEEE International Conference on Data Engineering (ICDE) 2019, pp. 1298-1309.
"Origin-Destination Trajectory Diversity Analysis: Efficient Top-k Diversified Search", Dan He, Boyu Ruan, Bolong Zheng*, Xiaofang Zhou. IEEE International Conference on Mobile Data Management (MDM) 2018, pp. 1-10.
"Trajectory Set Similarity Measure: An EMD-Based Approach", Dan He, Boyu Ruan, Bolong Zheng, Xiaofang Zhou. Australasian Database Conference (ADC) 2018, pp. 28-40.
"A System for Spatial-Temporal Trajectory Data Integration and Representation", Douglas Alves Peixoto, Xiaofang Zhou, Nguyen Quoc Viet Hung, Dan He, Bela Stantic. The International Conference on Database Systems for Advanced Applications (DASFAA) 2018, pp. 807-812.
"A performance study on large-scale data analytics using disk-based and in-memory database systems", Pingfu Chao, Dan He, Shazia W. Sadiq, Kai Zheng, Xiaofang Zhou, IEEE International Conference on Big Data and Smart Computing (BigComp) 2017, pp. 247-254.
"An Energy-Efficient Branch Prediction with Grouped Global History", Mingkai Huang, Dan He, Xianhua Liu, Mingxing Tan, Xu Cheng, International Conference on Parallel Processing (ICPP) 2015, pp. 140-149.
* indicates the corresponding author ___ indicates equal contribution
Grants
Advance Queensland Women's Research Assistance Program (AQ WRAP), $26K, 2021-2022
Team
Dr. Boyu Ruan, Research Assistant, August 2021 - February 2022
Current PhD Supervision:
Zichun Zhu, Co-supervised PhD Candidate, April 2021 - present
Thanh Vo Tran, Co-supervised PhD Candidate, January 2021 - present
Academic Experience
Teaching
University of Queensland
(COMP3506/7505) Data Structures and Algorithms (Guest Lecturer) Sep. - Oct. 2020
(INFS4205/7205) Advance Techniques for High Dimensional Data (Guest Lecturer) May 2020
Teaching Assistant
University of Queensland
Advance Techniques for High Dimensional Data Feb. 2018 - Jun. 2018
Data Mining Jul. 2017 - Nov. 2017
Data Structure and Algorithms Jul. 2016 - Nov. 2016
Spatial and Multimedia Database Feb. 2016 - Jun. 2016
Peking University
Computer Architecture: A Quantitative Approach Mar. 2014 - Jun. 2014
Research Assistant
Chinese University of Hong Kong Mar. 2019 - Sep. 2019
Service
Program Committee Member of:
AAAI Conference on Artificial Intelligence (AAAI), 2021, 2022;
International Conference on Database Systems for Advanced Applications (DASFAA), 2021 - 2022;
Reviewer of Journals:
Transactions on Knowledge and Data Engineering (TKDE), 2020;
Neurocomputing, 2020 - 2021;
Data Science and Engineering (DSEJ), 2020;
Knowledge and Information Systems (KAIS), 2019-2020;
World Wide Web: Internet and Web Information Systems (WWWJ), 2020 - 2021;
Frontiers of Computer Science (FCS), 2020;
International Journal of Intelligent Transportation Systems Research, (IJIT), 2021;
Session Chair of:
Very Large Data Base (VLDB) 2020
Australia Transport Research Forum (ATRF) 2021
Awards
CORE ACSW Student Travel Award, Best Student Paper Honorable mention, 2020
Winner (1/42) of Best Presentation in DKE End of Year Workshop, 2018, UQ
Research High Degree Scholarship, 2016-2019, UQ
Postgraduate Scholarship, 2012-2015, PKU
Outstanding Graduate Award, 2012; People Scholarship, 2009-2011; Freshmen Scholarship, 2008, USTB