Dr. Boyu Ruan

Post-Doctoral Fellow


The Department of Computer Science and Engineering

The Hong Kong University of Science and Technology


Email: boyuruan@ust.hk

General

Boyu Ruan is currently a post-doctoral fellow at the Department of Computer Science and Engineering (CSE), The Hong Kong University of Science and Technology (HKUST). He received his PhD degree from School of Information Technology and Electrical Engineering (ITEE) at The University of Queensland (UQ) under the advision of Prof. Xiaofang Zhou, Dr. Junhao Gan, and Dr. Wen Hua in 2022.  He received his bachelor degree at Tshinghua University in 2015.

Research Interests

His current research interest is on efficient algorithms for massive data.

Publications

"Efficient Frequency-Based Randomization for Spatial Trajectories Under Differential Privacy"

IEEE Transactions on Knowledge and Data Engineering (TKDE) (2023)


"Autonomous anomaly detection on traffic flow time series with reinforcement learning"

Transportation Research Part C: Emerging Technologies (2023)


"Automatic traffic flow anomaly detection with reinforcement learning"

Transportation Research Board Annual Meeting (2023)


"Threshold-free Anomaly Detection on Traffic Flow Data with Reinforcement Learning"

Australia Transport Research Forum (2022)


"Frequency-based randomization for guaranteeing differential privacy in spatial trajectories"

2022 IEEE 38th International Conference on Data Engineering (ICDE)


"Dynamic Structural Clustering on Graphs"

SIGMOD (2021): 1491-1503


"Incremental preference adjustment: a graph-theoretical approach"

The VLDB Journal. 2020 Nov;29(6):1475-500. 


"Efficient and robust data augmentation for trajectory analytics: a similarity-based approach." 

World Wide Web (2019): 1-27.


Origin-Destination Trajectory Diversity Analysis: Efficient Top-k Diversified Search

2018 19th IEEE International Conference on Mobile Data Management (MDM), 135-144


Trajectory Set Similarity Measure: An EMD-Based Approach

Australasian Database Conference (2018): 28-40 


Decomposition-Based Approximation of Time Series Data with Max-Error Guarantees 

Australasian Database Conference (2018): 71-82