Zhenyu Yan

Zhenyu Yan
The Chinese University of Hong Kong | CUHK · Department of Information Engineering

Doctor of Philosophy

About

11
Publications
891
Reads
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29
Citations
Introduction
Zhenyu YAN is a Research Assistant Professor at The Chinese University of Hong Kong (CUHK), Department of Information Engineering. Before joining CUHK, Dr. Yan was a Research Fellow at School of Computer Science and Engineering, Nanyang Technological University. Dr. Yan received his Ph.D. from Nanyang Technological University, Singapore. My research includes Internet-of-Things sensing, resilient AIoT systems, and cyber-physical systems.
Additional affiliations
May 2020 - present
Nanyang Technological University
Position
  • Research Associate
Education
July 2016 - April 2020
Nanyang Technological University
Field of study
  • Internet of Things. Cyper physical systems. Wireless sensing systems.

Publications

Publications (11)
Conference Paper
Full-text available
Federated Learning (FL) is an emerging learning paradigm that enables the collaborative learning of different nodes without exposing the raw data. However, a critical challenge faced by the current federated learning algorithms in real-world applications is the long-tailed data distribution, i.e., in both local and global views, the numbers of clas...
Preprint
Adversarial example attack endangers the mobile edge systems such as vehicles and drones that adopt deep neural networks for visual sensing. This paper presents {\em Sardino}, an active and dynamic defense approach that renews the inference ensemble at run time to develop security against the adaptive adversary who tries to exfiltrate the ensemble...
Preprint
Full-text available
Achieving efficient execution of machine learning models has attracted significant attention recently. To generate tensor programs efficiently, a key component of DNN compilers is the cost model that can predict the performance of each configuration on specific devices. However, due to the rapid emergence of hardware platforms, it is increasingly l...
Article
This paper presents TouchAuth, a new touch-to-access device authentication approach using induced body electric potentials (iBEPs) caused by the indoor ambient electric field that is mainly emitted from the building's electrical network. The design of TouchAuth is based on the electrostatics of iBEP generation and a resulting property, i.e., the iB...
Preprint
Full-text available
Run-time domain shifts from training-phase domains are common in sensing systems designed with deep learning. The shifts can be caused by sensor characteristic variations and/or discrepancies between the design-phase model and the actual model of the sensed physical process. To address these issues, existing transfer learning techniques require sub...
Conference Paper
Full-text available
This paper presents TouchAuth, a new touch-to-access device authentication approach using induced body electric potentials (iBEPs) caused by the indoor ambient electric field that is mainly emitted from the building's electrical cabling. The design of TouchAuth is based on the electrostatics of iBEP generation and a resulting property, i.e., the iB...
Preprint
Full-text available
Deep learning based visual sensing has achieved attractive accuracy but is shown vulnerable to adversarial example attacks. Specifically, once the attackers obtain the deep model, they can construct adversarial examples to mislead the model to yield wrong classification results. Deployable adversarial examples such as small stickers pasted on the r...
Article
Full-text available
Design of clock synchronization for networked nodes faces a fundamental trade-off between synchronization accuracy and universality for heterogeneous platforms, because a high synchronization accuracy generally requires platform-dependent hardware-level network packet timestamping. This paper presents TouchSync, a new indoor clock synchronization a...
Article
Full-text available
Design of clock synchronization for networked nodes faces a fundamental trade-off between synchronization accuracy and universality for heterogeneous platforms, because a high synchronization accuracy generally requires platform-dependent hardware-level network packet timestamping. This paper presents TouchSync, a new indoor clock synchronization a...

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