33 Result(s)
within
Yue**g Qian
Computer Science
English
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Chapter and Conference Paper
The Spillover Effect of Doctor’s Knowledge Sharing on Their Online Consultation Volume
Doctors’ online knowledge sharing enhances patients’ access to medical knowledge and interactions between doctors and patients. Given its importance, previous studies have discussed the impact of doctors’ know...
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Chapter and Conference Paper
Multi-criteria Health Science Short Video Recommendation Inspired by Heuristic Optimization
An increasing number of people are obtaining healthcare and disease prevention-related knowledge through health science short videos, guiding their own health behavior habits in recent years. However, users ma...
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Chapter and Conference Paper
Predict Hip Joint Moment Using CNN for Hip Exoskeleton Control
The assistance of the hip exoskeleton is closely related to hip joint moment, and the corresponding assistance can be generated by hip joint moment directly. However, it is difficult to obtain the hip joint mo...
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Chapter and Conference Paper
A Lightweight Ankle Exoskeleton Driven by Series Elastic Actuator
The current research on exoskeleton torque control is relatively extensive, but the performance is suboptimal. Exoskeletons driven by series elastic actuator (SEA) can achieve high force control accuracy throu...
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Article
RegGeoNet: Learning Regular Representations for Large-Scale 3D Point Clouds
Deep learning has proven an effective tool for 3D point cloud processing. Currently, most deep set architectures are developed for sparse inputs (typically with a few thousand points), which are unable to prov...
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Chapter and Conference Paper
Self-supervised Learning Based on a Pre-trained Method for the Subtype Classification of Spinal Tumors
Spinal tumors contain multiple pathological subtypes, and different subtypes may correspond to different treatments and prognoses. Diagnosis of spinal tumor subtypes from medical images in the early stage is o...
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Chapter and Conference Paper
MAL: Multi-modal Attention Learning for Tumor Diagnosis Based on Bipartite Graph and Multiple Branches
The multi-modal fusion of medical images has been widely used in recent years. Most methods focus on images with a single plane, such as the axial plane with different sequences (T1, T2) or different modalitie...
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Chapter and Conference Paper
A Pointer-Generator Based Abstractive Summarization Model with Knowledge Distillation
The use of large-scale pre-trained models for text summarization has attracted increasing attention in the computer science community. However, pre-training models with millions of parameters and long training...
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Article
Leveraging citation influences for Modeling scientific documents
This paper studies a link-text algorithm to model scientific documents by citation influences, which is applied to document clustering and influence prediction. Most existing link-text algorithms ignore the di...
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Chapter and Conference Paper
PUGeo-Net: A Geometry-Centric Network for 3D Point Cloud Upsampling
In this paper, we propose a novel deep neural network based method, called PUGeo-Net, for upsampling 3D point clouds. PUGeo-Net incorporates discrete differential geometry into deep learning elegantly by learn...
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Article
A target-oriented segmentation method for specific tissues in MRI images of the brain
The multi-atlas based segmentation method can achieve the accurate segmentation of specific tissues of the human brain in the magnetic resonance imaging (MRI). The correct image registration and fusion scheme ...
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Chapter and Conference Paper
WSI-Net: Branch-Based and Hierarchy-Aware Network for Segmentation and Classification of Breast Histopathological Whole-Slide Images
This paper proposes a novel network WSI-Net for segmentation and classification of gigapixel breast whole-slide images (WSIs). WSI-Net can segment patches from the WSI into three types, including non-malignant...
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Chapter and Conference Paper
Effective Optical Braille Recognition Based on Two-Stage Learning for Double-Sided Braille Image
This paper proposes a novel two-stage learning framework TS-OBR for double-sided Braille images recognition. In the first stage, a Haar cascaded classifier with the sliding window strategy is adopted to quickl...
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Article
RGB-D joint modelling with scene geometric information for indoor semantic segmentation
This paper focuses on the problem of RGB-D semantic segmentation for indoor scenes. We introduce a novel gravity direction detection method based on vertical lines fitting combined 2D vision information and 3D...
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Chapter and Conference Paper
Adaptive Slot Assignment for TDMA Based Dynamic Airborne Ad Hoc Networks
The time division multiple access (TDMA) is thought a better choice for mobile ad hoc networks, especially for sparse and dynamic airborne wireless networks, and its efficiency largely depends on the slot sche...
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Chapter and Conference Paper
Multiple Visual Fields Cascaded Convolutional Neural Network for Breast Cancer Detection
This paper proposes a novel multiple visual fields cascaded convolutional neural network MVF-CasCNN to detect breast cancer metastases in the gigapixel whole slide image WSI. Here visual field is the total area o...
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Article
Improving speech transcription by exploiting user feedback and word repetition
Speech Transcription is important for video/audio retrieval and many other applications. In automatic speech transcription, recognition errors are inevitable, which makes user feedback such as manual error cor...
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Article
An entropy-based indicator system for measuring the potential of patents in technological innovation: rejecting moderation
How to evaluate the value of a patent in technological innovation quantitatively and systematically challenges bibliometrics. Traditional indicator systems and weighting approaches mostly lead to “moderation” ...
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Article
A hybrid method to trace technology evolution pathways: a case study of 3D printing
Whether it be for countries to improve the ability to undertake independent innovation or for enterprises to enhance their international competitiveness, tracing historical progression and forecasting future t...
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Chapter and Conference Paper
Efficient Multi-scale Plane Extraction Based RGBD Video Segmentation
To improve the robustness and efficiency of RGBD video segmentation, we propose a novel video segmentation method combining multi-scale plane extraction and hierarchical graph-based video segmentation. Firstly...
