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Qing Zhang - IEEE Xplore Author Profile

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Age-related cognitive decline presents a significant health challenge for older adults, with no specific medication available to counteract it. Early detection of cognitive decline is crucial for timely intervention and effective management. Sleep status plays a vital role in evaluating cognitive function, as disrupted sleep patterns are associated with cognitive decline and increased risk of neur...Show More
Current elbow prosthesis design and fabrication is not catering for the target population, leading to a prevalent occurrence of prosthesis mismatch in total elbow arthroplasty (TEA) surgeries. To address this challenge, it is crucial to develop an efficient elbow joint classification method that accurately captures specific morphological variations, advancing the design of diverse prostheses for o...Show More
In the field of vision-language models (VLMs), human action recognition models, while effective, always rely on large pre-trained models or high-resolution inputs, leading to computational challenges. To address this, we propose a novel VLM approach with fine-grained attention to body movements. Unlike methods relying on coarse video-text matching, we guide the model to infer actions from fine-gra...Show More
The morphological classification of elbow joints plays a critical role in formulating precise orthopedic trauma treatment strategies. Traditional methods for morphological classification of the skeletal system involve labor-intensive processes of 3D modeling and feature extraction, leading to inefficiencies. To address this challenge, our study leverages deep learning techniques to develop a novel...Show More
The research of cell segmentation recently heavily relies on supervised algorithms, which in turn depend on extensive manual annotations. However, due to the abundance and density of cells in pathological images, manual annotation tasks are both labor-intensive and inefficient. While previous efforts have successfully reduced the algorithm's reliance on labels, they still require cumbersome point ...Show More
Endovascular Aortic Aneurysm Repair (EVAR) can effectively prevent the continuous growth and rupture of Abdominal Aortic Aneurysms (AAA). It is widely used in the treatment of abdominal aortic aneurysm. Endoleak is a serious complication after EVAR operation. How to predict the occurrence of endoleak is an urgent problem to be solved. In this study, local multi-dimensional anatomical features of 3...Show More
Muscle-actuated organisms exhibit an extraordinary ability to learn a wide array of agile movements. However, replicating such versatility and efficiency in reinforcement learning (RL) poses significant challenges, primarily due to the complexity of over-actuated action spaces. These challenges are often attributed to the sample efficiency issues prevalent in RL, compounded by the inefficacy in ex...Show More
Acoustic vortex waves carrying orbital angular momentum (OAM) have been demonstrated to transmit multiple independent data streams simultaneously. By virtue of the inherent orthogonality of OAM modes, ring-shaped intensity pattern, and vortex phase distribution, acoustic vortex waves can enhance both underwater communication and positioning. Such acoustic vortex-based communications have great pot...Show More