Yan WANG'S WEBSITE

Deep Learning Opitmization for Mobile Devices Using Hardware and Software Co-design

Synopsis:

The primary goal of this project is to develop cutting-edge algorithms and computer architectures that enables the broad deployment of heavy-cost deep learning models into resource-constrained, heterogeneous mobile edge devices (e.g., low-cost sensing platforms and IoT devices). This project analyzes distinct deep learning behaviors on mobile edge devices and designs different strategies to improve the efficiency of multiple deep-learning-based inference models. Furthermore, this project develops algorithms that can adjust the complexity of different deep learning models to reduce their energy and memory consumption on mobile edge devices.

Personnel:

Graduate Students: Tianming Zhao

Undergraduate Students: Luke Jackielaszek

PI: Yan Wang

Collaborators:

Yingying Chen (Rutgers University)

Jerry Cheng (New York Institute of Technology)

Jian Liu (University of Tennessee)

Publications:

• Yilin Yang, Yan Wang, and Yingying Chen "EchoLock: Towards Low-effort Mobile User Identification Leveraging Structure-borne Echos," in Proceedings of the 15th ACM ASIA Conference on Computer and Communications Security (ACM ASIACCS 2020), Taipei, Taiwan, June 2020. DOI: 10.1145/3320269.3384741NEW!
• Tianming Zhao, Yan Wang, Jian Liu, Yingying Chen, Jerry Cheng, and Jiadi Yu. "TrueHeart: Continuous Authentication on Wrist-worn Wearables Using PPG-based Biometrics," in Proceedings of the IEEE International Conference on Computer Communication (INFOCOM 2020), Beijing, China, 2020. DOI: 10.1109/INFOCOM41043.2020.9155526. NEW!

Educational Activities:

The PPG-based and acoustic sensing-based user authentication methods and corresponding machine-learning approaches are integrated into the course materials of the cross-listed course CIS4330 / CIS 4360 (Smart Sensing and Devices) at Temple University.

Graduate and undergraduate students are involved in the research tasks and experiments of these projects during their summer internship.