Dan He 和丹

Contact Information

Email: d.he@uq.edu.au   shhedan1229@gmail.com

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

Google Scholar Homepage

Publications

• "A Survey and Experimental Study on Neural Trajectory-User Linking Models." Hua Shi, Dan He, Fengmei Jin*, Wen Hua, Jiwon Kim, Qilin Wang, Xiaofang Zhou.  IEEE Transactions on Knowledge and Data Engineering (TKDE), accepted in August 2025.

• "Detecting bus stop congestion and bus bunching using citywide bus GPS data: A Brisbane case study ", Junyan Liu, Dan He*, Zetong Zhang, Jiwon Kim,  Australia Transport Research Forum (ATRF) 2025.

• "Reflective LLM Prompt Optimisation for Interpreting GNN Predictions in Traffic Forecasting", Zetong Zhang, Jiwon Kim*, Dan He, Mehmet Yildirimoglu, 2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC 2025).

• "Activity-aware Urban Area Embedding with Contrastive Learning", Gen Li, Tao Feng, Dan He, Li Yan and Jiwon Kim. Transportation Research Part C: Emerging Technologies, accepted in Jun 2025.

• "Dynamic Route Optimization with Multi-Category Constraints for POIs Visit", Jiajia Li, Chunhui Liu, Dan He, Lei Li, Xiaofang Zhou, and Rui Zhu. IEEE Transactions on Intelligent Transportation System (IEEE T-ITS), accepted in November 2024.

• "Efficient Algorithms for Approximate k-Radius Coverage Query on Large-Scale Road Networks", Xiaocui Li, Dan He, Xinyu Zhang*.  IEEE Transactions on Intelligent Transportation System (IEEE T-ITS), accepted in November 2024.

• "M2NN: Multi-task Multi-view Neural Network Using Congestion Heatmap Imagery for Incident Prediction on Road Segments", Thanh Tran, Dan He, Jiwon Kim and Mark Hickman. TRC-30: 30th Anniversary of Transportation Research Part C: Emerging Technologies, 2024.

• "EGNN-AD: An Effective Graph Neural Network-based Approach for Anomaly Detection on Edge-Attributed Graphs", Hewen Wang, Bryan Hooi, Dan He, Juncheng Liu. and Xiaokui Xiao, The International Conference on Database Systems for Advanced Applications (DASFAA) 2024.

• "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.

• "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.

• "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 T-ITS), accepted in September 2022.

• "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

1. (COMP3506/7505) Data Structures and Algorithms (Guest Lecturer)  Sep. - Oct. 2020

2. (INFS4205/7205) Advance Techniques for High Dimensional Data (Guest Lecturer)  May 2020, April 2024

Teaching Assistant

• University of Queensland

1. Advance Techniques for High Dimensional Data                                     Feb. 2018 - Jun. 2018

2. Data Mining                                                                                              Jul. 2017 - Nov. 2017

3. Data Structure and Algorithms                                                                Jul. 2016 - Nov. 2016

4. Spatial and Multimedia Database                                                            Feb. 2016 - Jun. 2016

• Peking University

1. Computer Architecture: A Quantitative Approach                                   Mar. 2014 - Jun. 2014

Research Assistant

1. 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

Hobbies

• Badminton