Publications

2024

  1. Towards Low-Energy Adaptive Personalization for Resource-Constrained Devices
    Huang, Yushan, Millar, Josh, Long, Yuxuan, Zhao, Yuchen, and Haddadi, Hamed
    In Proceedings of the 4th Workshop on Machine Learning and Systems Apr 2024
  2. Analyzing Entropy Features in Time-Series Data for Pattern Recognition in Neurological Conditions
    Huang, Yushan, Zhao, Yuchen, Capstick, Alexander, Palermo, Francesca, Haddadi, Hamed, and Barnaghi, Payam
    Artificial Intelligence in Medicine 2024

2023

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

2022

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

2021

  1. (Preprint) Semi-supervised Federated Learning for Activity Recognition
    Zhao, Yuchen, Liu, Hanyang, Li, Honglin, Barnaghi, Payam, and Haddadi, Hamed
    2021
  2. (Poster) Designing A Clinically Applicable Deep Recurrent Model to Identify Neuropsychiatric Symptoms in People Living with Dementia Using In-Home Monitoring Data
    Palermo, Francesca, Li, Honglin, Capstick, Alexander, Fletcher-Lloyd, Nan, Zhao, Yuchen, Kouchaki, Samaneh, Nilforooshan, Ramin, Sharp, David, and Barnaghi, Payam
    In NeurIPS ’21 Workshop - Bridging the Gap: From Machine Learning Research to Clinical Practice 2021

2020

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

2019

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

2018

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

2017

  1. Recommending Privacy Preferences in Location-sharing Services
    Zhao, Yuchen
    Jun 2017

2016

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

2014

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