My name is Hanqing Guo, a Phd student in Michigan State University, eLANs Lab. My research focuse on Wireless Communication, Smart Home and Deep Learning.

Current Researches and Implementation

1. Realtime Human Activity Recognition based on Radar and RNN

2. Deep Learning In-Band-Full-Duplex Communication Scheme

3. YOLOv3 Pytorch Implementation

4. Transfer Learning and Face Detection

5. Deepfake and Face Swap with trump using Pytorch

Education and Experience

2019-Now   Michigan State University, Computer Science Ph.D.
2017-19   Ball State University, Computer Science M.S.
2015-17   International Telecommunication Engineer in Fiberhome Corporation
2011-15   Chongqing University of Posts and Telecommunications, Communication Engineering B.E.


Q. Yan, K. Liu, Q. Zhou, H. Guo and N. Zhang SurfingAttack: Interactive Hidden Attack on VoiceAssistants Using Ultrasonic Guided Waves NDSS 2020

H. Guo, S. Wu, H. Wang and Mahmoud Daneshmand. DSIC: Deep Learning based Self-Interference Cancellation for In-Band Full Duplex Wireless IEEE Globecom 2020

H. Guo, N. Zhang, W. Shi, S. AlQarni, and S. Wu. Real-Time Indoor 3D Human Imaging Based on MIMO Radar Sensing arXiv preprint arXiv 1812.07099, accepted, IEEE ICME 2019

H. Guo, J. Xu, S. Zhu, and S. Wu. Realtime software defined self-interference cancellation based on machine learning for in-band full duplex wireless communications. International Conference on Computing, Networking and Communications (ICNC), Maui, Hawaii, USA., March 5-8, 2018

H. Guo, J. Xu, S. Zhu, and S. Wu. In-band full duplex wireless communications and networking for iot devices: Progress, challenges and opportunities. Elsevier Future Generation Computer Systems Journal, accepted, Oct. 2017

Q. Liu, H. Guo, J. Xu, A. Kageza and S. Wu. Non-contact Non-invasive Heart and Respiration Rates Monitoring with MIMO Radar Sensing, Globecom 2018, Abu Dhabi, UAE, accepted, Dec. 2018

J. Xu, H. Guo, A. Kageza and S. Wu. Removing background with Semantic Segmentation Based on Ensemble Learning 12th EAI International Conference on Mobile Multimedia Communications, Qingdao, China, June, 2018

S. Zhu, J. Xu, H. Guo, Q. Liu and S. Wu. Indoor Human Activity Recognition Based on Ambient Radar with Signal Processing and Machine Learning IEEE International Conference on Communications (ICC), Kansas City, MO, USA, May 20-24, 2018

S. Zhu, H. Guo, J. Xu, and S. Wu. Distance based user localization and tracking with mechanical ultrasonic beamforming. International Conference on Computing, Networking and Communications (ICNC), Maui, Hawaii, USA., March 5-8, 2018

J. Xu, S. Zhu, H. Guo, and S. Wu. Avoidance of manual labeling in robotic autonomous navigation through multi-sensory semi-supervised learning. arXiv preprint arXiv:1709.07911, 2017