Xin Yang 「杨昕」

Senior Research Scientist · Autodesk Research

[first].[last]autodesk.com

Machine Learning Sensing Systems Data Privacy

I am a Senior Research Scientist at Autodesk Research. I received my Ph.D. in Computing Science from the University of Alberta in 2026. My research interests lie at the intersection of machine learning, sensing systems, and data privacy. I also hold an M.S. in Computer Engineering from Rutgers University and a B.E. in Computer Science and Technology from the UESTC.

Xin Yang

Recent News

  • Mar 2026 I joined Autodesk Research as a Senior Research Scientist.
  • Jan 2026 I passed my PhD defense with an award recommendation.
  • Nov 2025 Our paper "MASER: Efficient Privacy-Preserving Cross-Silo Federated Learning with Multi-Key Homomorphic Encryption" has been accepted to The 2nd Special Session on Federated Learning on Big Data at 2025 IEEE International Conference on Big Data.
  • Jun 2025 Our paper "PrivDiffuser: Privacy-Guided Diffusion Model for Data Obfuscation in Sensor Networks" has been accepted to The 25th Privacy Enhancing Technologies Symposium (PETS 2025.4) (Acceptance rate: 55/239 = 23.0%).
  • May 2025 I joined Autodesk Research as a Research Scientist Intern.
  • Nov 2024 I received Alberta Graduate Excellence Scholarship.
  • Apr 2024 Our paper "Centaur: Robust Multimodal Fusion for Human Activity Recognition" has been accepted to IEEE Sensors Journal.
  • Nov 2023 I received Alberta Graduate Excellence Scholarship.
  • Oct 2023 I received Mary Louise Imrie Graduate Student Award.
  • Sep 2023 I passed my PhD candidacy exam.
  • Sep 2023 Our paper "Blinder: End-to-end Privacy Protection in Sensing Systems via Personalized Federated Learning" has been accepted to ACM Transactions on Sensor Networks (TOSN).
  • Aug 2023 Our workshop paper "Privacy through Diffusion: A White-listing Approach to Sensor Data Anonymization" has been accepted to CPSIoTSec at ACM CCS.
  • Nov 2021 I received Alberta Graduate Excellence Scholarship.
  • Oct 2021 My abstract paper "Towards utility-aware privacy-preserving sensor data anonymization in distributed IoT" has been accepted to PhD Forum at ACM BuildSys'21.
  • Sep 2021 I received University of Alberta Graduate Recruitment Scholarship.
  • Apr 2021 Our paper "Secure Coded Computation for Efficient Distributed Learning in Mobile IoT" has been accepted to IEEE SECON'21 (Acceptance rate: 37/140 = 26.4%).
  • Jan 2021 Our paper "Enabling Finger-touch-based Mobile User Authentication via Physical Vibrations on IoT Devices" has been accepted to IEEE Transactions on Mobile Computing (TMC).
  • Jun 2020 I received IEEE INFOCOM'20 Student Conference Award.
  • Dec 2019 Our paper "MU-ID: Multi-user Identification Through Gaits Using Millimeter Wave Radios" has been accepted to IEEE INFOCOM'20 (Acceptance rate: 268/1354 = 19.8%).
  • Oct 2019 Two demos (robot car dynamics monitoring and human pose tracking using mmWave sensors) have been accepted to IEEE DySPAN'19.

Publications

Journal Papers & Magazine Articles

Refereed Conference & Workshop Papers

Posters, Demos & Abstracts

Teaching

Honors & Awards

Professional Activities