Arcanum: Detecting and Evaluating the Privacy Risks of Browser Extensions on Web Pages and Web Content.
Proceedings of the 33rd USENIX Security Symposium, 2024
Crawling to the Top: An Empirical Evaluation of Top List Use.
Proceedings of the Passive and Active Measurement - 25th International Conference, 2024
Trimming Mobile Applications for Bandwidth-Challenged Networks in Developing Regions.
IEEE Trans. Mob. Comput., 2023
Building an Open, Robust, and Stable Voting-Based Domain Top List.
Proceedings of the 31st USENIX Security Symposium, 2022
Deep Graph Convolutional Networks for Incident-Driven Traffic Speed Prediction.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
"How do urban incidents affect traffic speed?" A Deep Graph Convolutional Network for Incident-driven Traffic Speed Prediction.
CoRR, 2019
We Know Your Preferences in New Cities: Mining and Modeling the Behavior of Travelers.
IEEE Commun. Mag., 2018
LBSLab: A User Data Collection System in Mobile Environments.
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Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018
Understanding user activity patterns of the Swarm app: a data-driven study.
Proceedings of the Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, 2017