122 Result(s)
within
Yu. Li
Computer Science
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Article
Automatic diagnosis of myopic maculopathy using continuous severity ranking labels
Clinical lesions progress continuously but previous grading strategies are not fine-grained enough to model the continuously changing features of lesions. For lack of temporal sequential medical data to provid...
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Article
Enhancing trust and privacy in distributed networks: a comprehensive survey on blockchain-based federated learning
While centralized servers pose a risk of being a single point of failure, decentralized approaches like blockchain offer a compelling solution by implementing a consensus mechanism among multiple entities. Mer...
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Article
Generalizing sentence-level lipreading to unseen speakers: a two-stream end-to-end approach
Lipreading refers to translating the lip motion regarding a video speaker into the corresponding texts. Existing lipreading methods typically describe the lip motion using visual appearance variations. However...
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Chapter and Conference Paper
CCA-Secure Identity-Based Matchmaking Encryption from Standard Assumptions
Identity-based Matchmaking Encryption (IB-ME) is a new form of encryption that enables anonymous communication by specifying identities for both sender and receiver. Its applications in network services put fo...
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Chapter and Conference Paper
Learned Pseudo-Random Number Generator Based on Generative Adversarial Networks
Pseudorandom number generators (PRNGs) are fundamental components of modern cryptography and information security. Due to the inherent complexity and unpredictability of neural networks, they have become an at...
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Chapter and Conference Paper
Multi-dimensional Sequential Contrastive Learning for QoS Prediction
Quality of service (QoS) is the main factor in service selection and recommendation, and it is influenced by dynamic factors, such as network condition and user location, and static factors represented by the ...
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Article
Unbiased organism-agnostic and highly sensitive signal peptide predictor with deep protein language model
Signal peptides (SPs) are essential to target and transfer transmembrane and secreted proteins to the correct positions. Many existing computational tools for predicting SPs disregard the extreme data imbalanc...
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Article
Information gain based dynamic support set construction for cold-start recommendation
A fundamental challenge for recommendation systems is the cold-start problem, i.e., recommending with no or few user-item interactions. An emerging direction alleviates the problem with meta-learning. These me...
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Article
Morphing aircraft acceleration and deceleration task morphing strategy using a reinforcement learning method
This paper proposes a design scheme for a whole morphing strategy based on the reinforcement learning (RL) method. A novel morphing aircraft is designed, and its nonlinear dynamic equations are established bas...
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Article
Two-stage single image reflection removal with reflection-aware guidance
Removing undesired reflection from an image captured through a glass surface is a very challenging problem with many practical applications. For improving reflection removal, cascaded deep models have been usu...
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Article
Open AccessJoint optic disc and cup segmentation based on multi-scale feature analysis and attention pyramid architecture for glaucoma screening
Automatic segmentation of optic disc (OD) and optic cup (OC) is an essential task for analysing colour fundus images. In clinical practice, accurate OD and OC segmentation assist ophthalmologists in diagnosing...
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Article
Open AccessAuthor Correction: The high-dimensional space of human diseases built from diagnosis records and mapped to genetic loci
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Article
GCGE: a package for solving large scale eigenvalue problems by parallel block dam** inverse power method
In this paper, we introduce some strategies to improve the efficiency and scalability of the generalized conjugate gradient algorithm and build a package GCGE for solving large scale eigenvalue problems. This ...
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Article
Open AccessThe high-dimensional space of human diseases built from diagnosis records and mapped to genetic loci
Human diseases are traditionally studied as singular, independent entities, limiting researchers’ capacity to view human illnesses as dependent states in a complex, homeostatic system. Here, using time-stamped...
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Article
An improved spatial temporal graph convolutional network for robust skeleton-based action recognition
Skeleton-based action recognition methods using complete human skeletons have achieved remarkable performance, but the performance of these methods could significantly deteriorate when critical joints or frame...
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Article
Semantic segmentation network with multi-path structure, attention reweighting and multi-scale encoding
Semantic segmentation is an active field of computer vision. It provides semantic information for many applications. In semantic segmentation tasks, spatial information, context information, and high-level sem...
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Chapter and Conference Paper
Tiny-YOLOv7: Tiny Object Detection Model for Drone Imagery
With the rapid development of drones, tiny object detection in drone-captured scenarios has become a challenge task. However, the altitude of the drone changes while flying lead to the scale of the object chan...
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Chapter and Conference Paper
User Adaptive Language Learning Chatbots with a Curriculum
Along with the development of systems for natural language understanding and generation, dialog systems have been widely adopted for language learning and practicing. Many current educational dialog systems p...
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Chapter and Conference Paper
Path-Based Heterogeneous Brain Transformer Network for Resting-State Functional Connectivity Analysis
Brain functional connectivity analysis is important for understanding brain development, aging, sexual distinction and brain disorders. Existing methods typically adopt the resting-state functional connectivit...
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Chapter and Conference Paper
Gene Variation Detection Approach Based on Multimodal Data Fusion
Structural variations (SVs), related to human’s health, are numerously common in human genes, hence, it’s vital for human to detect the gene structural variation precisely. Traditional gene variation detection...
