A5103190493- Image and Video Quality Assessment
- Random lasers and scattering media
- Photonic and Optical Devices
- Advanced Optical Imaging Technologies
- Advanced Fiber Laser Technologies
- Human-Automation Interaction and Safety
- Advanced X-ray and CT Imaging
- Gaze Tracking and Assistive Technology
- Advanced MRI Techniques and Applications
- Neural Networks and Reservoir Computing
- Medical Imaging Techniques and Applications
- Tactile and Sensory Interactions
- Advanced Optical Sensing Technologies
- Gastric Cancer Management and Outcomes
- Esophageal Cancer Research and Treatment
- Helicobacter pylori-related gastroenterology studies
Tsinghua University
2023-2024
Peking University
2024
Peking University Third Hospital
2024
Linyi University
2023
Xiamen University
2022
The role of the intratumoral microbiome in gastric cancer (GC) has not been comprehensively assessed. Here, we explored relationship between microbial community and GC prognosis therapy efficacy. Several cancer-associated characteristics were identified, including increased α-diversity, differential β-diversity, decreased
Guiding robots, in the form of canes or cars, have recently been explored to assist blind and low vision (BLV) people. Such robots can provide full partial autonomy when guiding. However, pros cons different forms for guiding remain unknown. We sought fill this gap. designed autonomy-switchable robotic cane car. conducted a controlled lab-study (N=12) field study (N=9) on BLV. Results showed that received better walking performance subjective ratings study, whereas participants used more...
Tracking and imaging for high-speed moving objects have a wide range of application prospects in many fields, such as transportation security monitoring. In this paper, the chrome plated masks are designed to carry geometric moment random binary encoding patterns, combined with single pixel detectors, achieve real-time tracking fast-moving object. By using principle obtain motion trajectory object, coding sub-patterns corresponding detection signals extracted at different positions...
Recent progress in single-pixel imaging (SPI) has exhibited remarkable performance using deep neural networks, e.g., convolutional networks (CNNs) and vision Transformers (ViTs). Nonetheless, it is challenging for existing methods to well model object image from detections that have a long-range dependency, where CNNs are constrained by their local receptive fields, ViTs suffer high quadratic complexity of attention mechanism. Inspired the Mamba architecture, known its proficiency handling...