Scholar
Qingchao Chen
Google Scholar ID: Nm8aSfIAAAAJ
Assistant Professor, Peking University
Citations & Impact
Citations
1,512
H-index
21
i10-index
35
Publications
20
Co-authors
8
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- - Journal Articles:
- * Respiration and Activity Detection Based on Passive Radio Sensing in Home Environments
- * DopNet: a DCNN Trained from Scratch for Classification of Armed/Unarmed Human Targets using Multiple-Channel Micro-Doppler Signatures
- * WiFi CSI Signal Processing and Behavior Recognition Methods
- - Books:
- * Domain Adaptation in Computer Vision with Deep Learning
- * Micro-Doppler Radar and its Applications
- - Conference Proceedings:
- * Adaptive Cross-Modal Prototypes for Cross-Domain Visual-Language Retrieval
- * Mind-the-Gap! Unsupervised Domain Adaptation for Video-Text Retrieval
- * Structure-Aware Feature Fusion for Unsupervised Domain Adaptation
- * Dictionary Learning Inspired Deep Networks for Scene Recognition
- * Re-weighted Adversarial Adaptation Network for Unsupervised Domain Adaptation
- * Doppler Based Detection of Multiple Targets in Passive Wi-Fi Radar using Underdetermined Blind Source Separation (Best Student Paper Award Nomination)
Research Experience
- - Postdoc Researcher, 2018-2021, University of Oxford (UK), Advisor: Prof. Alison Noble
Education
- - Ph.D., 2013-2018, University College London (UK), Advisors: Dr. Kevin Chetty, Prof. Karl Woodbridge
- - B.Sc, 2009-2013, University of Post and Telecommunications (China), Advisor: Prof. Aidong Men
Background
- Research interests: intersection of electronic engineering, computer science and computational clinical research, with special interests in transfer learning, deep learning, human sensing using multi-modal sensors and machine learning framework, medical image analysis and cross-modal knowledge discovery. The objective is to investigate how to integrate multi-modal sensor design and machine learning framework to assist, understand and intervene in clinical practice. Also interested in understanding the cognitive process of clinical diagnosis based on observational data.
Miscellany
- Recruiting self-motivated students and interns with interests in human sensing, radar system design, transfer learning, multi-modal sensing and learning, medical image analysis. Feel free to contact.
