Publications

2025

  1. Knowledge Routing in Decentralized Learning
    Ahmed M. Abdelmoniem, and Yuchen Zhao
    IEEE Intelligent Systems, 2025

2024

  1. Low-Energy On-Device Personalization for MCUs
    Yushan Huang, Ranya Aloufi, Xavier Cadet, and 3 more authors
    In Proceedings of 2024 IEEE/ACM Symposium on Edge Computing, Rome, Italy, 2024
  2. Towards Low-Energy Adaptive Personalization for Resource-Constrained Devices
    Yushan Huang, Josh Millar, Yuxuan Long, and 2 more authors
    In Proceedings of the 4th Workshop on Machine Learning and Systems, Athens, Greece, Apr 2024
  3. Analyzing Entropy Features in Time-Series Data for Pattern Recognition in Neurological Conditions
    Yushan Huang, Yuchen Zhao, Alexander Capstick, and 3 more authors
    Artificial Intelligence in Medicine, Apr 2024

2023

  1. Auditing AI Systems: A Metadata Approach
    Carl Adams, Mohsen Eslamnejad, Anita Khadka, and 3 more authors
    In Artificial Intelligence XL, Apr 2023
  2. (Poster) Effective Abnormal Activity Detection on Multivariate Time Series Healthcare Data
    Mengjia Niu, Yuchen Zhao, and Hamed Haddadi
    In Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, Madrid, Spain, Oct 2023
  3. (Preprint) Information Theory Inspired Pattern Analysis for Time-series Data
    Yushan Huang, Yuchen Zhao, Alexander Capstick, and 3 more authors
    Oct 2023
  4. PRISM: Privacy Preserving Healthcare Internet of Things Security Management
    Savvas Hadjixenophontos, Anna Maria Mandalari, Yuchen Zhao, and 1 more author
    In Proceedings of the 2023 IEEE Symposium on Computers and Communications, Gammarth, Tunisia, Jul 2023

2022

  1. Using Entropy Measures for Monitoring the Evolution of Activity Patterns
    Yushan Huang, Yuchen Zhao, Hamed Haddadi, and 1 more author
    In Proceedings of the 2022 IEEE World Forum on Internet of Things, Yokohama, Japan, Oct 2022
  2. Multimodal Federated Learning on IoT Data
    Yuchen Zhao, Payam Barnaghi, and Hamed Haddadi
    In Proceedings of the 2022 IEEE/ACM 7th International Conference on Internet-of-Things Design and Implementation, Milan, Italy, May 2022
  3. Towards Battery-Free Machine Learning and Inference in Underwater Environments
    Yuchen Zhao, Sayed Saad Afzal, Waleed Akbar, and 5 more authors
    In Proceedings of the 23rd Annual International Workshop on Mobile Computing Systems and Applications, Tempe, Arizona, Mar 2022
  4. Using Metrics Suites to Improve the Measurement of Privacy in Graphs
    Yuchen Zhao, and Isabel Wagner
    IEEE Transactions on Dependable and Secure Computing (TDSC), Jan 2022
    (first published on 13 Mar 2020)

2021

  1. (Preprint) Semi-supervised Federated Learning for Activity Recognition
    Yuchen Zhao, Hanyang Liu, Honglin Li, and 2 more authors
    Jan 2021
    arXiv:2011.00851
  2. (Poster) Designing A Clinically Applicable Deep Recurrent Model to Identify Neuropsychiatric Symptoms in People Living with Dementia Using In-Home Monitoring Data
    Francesca Palermo, Honglin Li, Alexander Capstick, and 6 more authors
    In NeurIPS ’21 Workshop - Bridging the Gap: From Machine Learning Research to Clinical Practice, Jan 2021
    arXiv:2110.09868

2020

  1. Privacy-Preserving Activity and Health Monitoring on Databox
    Yuchen Zhao, Hamed Haddadi, Severin Skillman, and 2 more authors
    In Proceedings of the Third ACM International Workshop on Edge Systems, Analytics and Networking, Heraklion, Greece, Apr 2020
  2. Understanding the Use of Narrative Patterns by Novice Data Storytellers
    Tom Blount, Laura Koesten, Yuchen Zhao, and 1 more author
    In Proceedings of the 4th International Conference on Computer-Human Interaction Research and Applications, Apr 2020

2019

  1. Structured and Uncertainty-Aware Data Storytelling
    Yuchen Zhao, Tom Blount, Laura Koesten, and 1 more author
    In CHI ’19 Workshop on HCI for Accurate, Impartial and Transparent Journalism: Challenges and Solutions, Glasgow, UK, May 2019
  2. On the Strength of Privacy Metrics for Vehicular Communication
    Yuchen Zhao, and Isabel Wagner
    IEEE Transactions on Mobile Computing (TMC), Feb 2019
    (first published on 03 May 2018)

2018

  1. Poster: Evaluating Privacy Metrics for Graph Anonymization and De-Anonymization
    Yuchen Zhao, and Isabel Wagner
    In Proceedings of the 2018 on Asia Conference on Computer and Communications Security, Incheon, Republic of Korea, Feb 2018

2017

  1. Recommending Privacy Preferences in Location-sharing Services
    Yuchen Zhao
    University of St Andrews, Jun 2017

2016

  1. A Robust Reputation-Based Location-Privacy Recommender System Using Opportunistic Networks
    Yuchen Zhao, Juan Ye, and Tristan Henderson
    In Proceedings of the 8th EAI International Conference on Mobile Computing, Applications and Services, Cambridge, Great Britain, Jun 2016
  2. The Effect of Privacy Concerns on Privacy Recommenders
    Yuchen Zhao, Juan Ye, and Tristan Henderson
    In Proceedings of the 21st International Conference on Intelligent User Interfaces, Sonoma, California, USA, Mar 2016
  3. Usable Privacy in Location-Sharing Services
    Yuchen Zhao
    In Companion Publication of the 21st International Conference on Intelligent User Interfaces, Sonoma, California, USA, Mar 2016

2014

  1. Privacy-Aware Location Privacy Preference Recommendations
    Yuchen Zhao, Juan Ye, and Tristan Henderson
    In Proceedings of the 11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, London, United Kingdom, Dec 2014
  2. (Poster) Recommending Location Privacy Preferences in Ubiquitous Computing
    Yuchen Zhao, Juan Ye, and Tristan Henderson
    In Proceedings of the 7th ACM Conference on Security and Privacy in Wireless and Mobile Networks, Oxford, United Kingdom, Jul 2014