169 Result(s)
within
Yuhao **ng
Computer Science
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Article
Robust enhanced collaborative filtering without explicit noise filtering
Graph convolutional neural networks have been successfully applied to collaborative filtering to capture high-quality user-item representations. Despite their remarkable performance, there are still limitation...
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Article
Open AccessKnowledge Graph-Aware Deep Interest Extraction Network on Sequential Recommendation
Sequential recommendation is the mainstream approach in the field of click-through-rate (CTR) prediction for modeling users’ behavior. This behavior implies the change of the user’s interest, and the goal of s...
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Article
Catch fish optimization algorithm: a new human behavior algorithm for solving clustering problems
This paper is inspired by traditional rural fishing methods and proposes a new metaheuristic optimization algorithm based on human behavior: Catch Fish Optimization Algorithm (CFOA). This algorithm simulates t...
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Article
Artificial Immune System of Secure Face Recognition Against Adversarial Attacks
Deep learning-based face recognition models are vulnerable to adversarial attacks. In contrast to general noises, the presence of imperceptible adversarial noises can lead to catastrophic errors in deep face r...
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Article
MDA-YOLO Person: a 2D human pose estimation model based on YOLO detection framework
Human pose estimation aims to locate and predict the key points of the human body in images or videos. Due to the challenges of capturing complex spatial relationships and handling different body scales, accur...
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Article
HDA-pose: a real-time 2D human pose estimation method based on modified YOLOv8
2D human pose estimation aims to accurately regress the keypoints of human body from images or videos. However, it remains challenging due to the occlusion and intersection among multiple individuals and the d...
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Article
Near-field wideband beam training for ELAA with uniform circular array
Extremely large-scale antenna array (ELAA) at millimeter wave (mmWave) and Terahertz (THz) band has been considered a key technology for combating high attenuation in high-frequency bands in future 6G communic...
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Article
Delay-dependent stability of a class of Runge-Kutta methods for neutral differential equations
In this paper, a class of Runge-Kutta methods for solving neutral delay differential equations (NDDEs) is proposed, which was first introduced by Bassenne et al. (J. Comput. Phys. 424, 109847, 2021) for ODEs. In ...
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Article
Cross-domain person re-identification with normalized and enhanced feature
Existing person re-identification methods are difficult to generalize to unseen datasets because of the domain gaps. The key to solving this problem is to extract domain-invariant and discriminative features. ...
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Article
Designing semiconductor materials and devices in the post-Moore era by tackling computational challenges with data-driven strategies
In the post-Moore’s law era, the progress of electronics relies on discovering superior semiconductor materials and optimizing device fabrication. Computational methods, augmented by emerging data-driven strat...
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Article
Enhanced time-sensitive networking configuration detection using optimized BPNN with feature selection for industry 4.0
With the advancement of Industry 4.0, Time-Sensitive Networking (TSN) has become essential for ensuring prompt and reliable data transmission. As an augmentation of Ethernet, TSN aims to supply services capabl...
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Article
HCA-YOLO: a non-salient object detection method based on hierarchical attention mechanism
The objective of deep learning-based object detection is to accurately localize and recognize objects of interest from images or videos using neural networks. However, the detection and localization of non-sal...
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Article
Esophageal tissue segmentation on OCT images with hybrid attention network
The accurate segmentation of the tissue layers of Optical Coherence Tomography (OCT) esophageal images has vital guiding significance for esophageal diseases research and computer-aided diagnosis. Existing aut...
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Article
Higher efficient YOLOv7: a one-stage method for non-salient object detection
Compared to the remarkable progress within the discipline of object detection in recent years, real-time detection of non-salient objects remains a challenging research task. However, most existing detection m...
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Article
Minimizing the Maximum Flow Time in the Online Food Delivery Problem
We study a common delivery problem encountered in nowadays online food-ordering platforms: Customers order dishes online, and the restaurant delivers the food after receiving the order. Specifically, we study ...
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Article
Digital audio tampering detection based on spatio-temporal representation learning of electrical network frequency
The majority of Digital Audio Tampering Detection (DATD) methods, which are based on Electrical Network Frequency (ENF), predominantly concentrate on the static spatial information of ENF. Unfortunately, this ...
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Article
GHA-Inst: a real-time instance segmentation model utilizing YOLO detection framework
The real-time instance segmentation task based on deep learning aims to accurately identify and distinguish all instance objects from images or videos. However, due to the existence of problems such as mutual ...
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Article
NDAM-YOLOseg: a real-time instance segmentation model based on multi-head attention mechanism
The primary objective of deep learning-based instance segmentation is to achieve accurate segmentation of individual objects in input images or videos. However, there exist challenges such as feature loss resu...
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Article
BMLP: behavior-aware MLP for heterogeneous sequential recommendation
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Chapter and Conference Paper
PE-MED: Prompt Enhancement for Interactive Medical Image Segmentation
Interactive medical image segmentation refers to the accurate segmentation of the target of interest through interaction (e.g., click) between the user and the image. It has been widely studied in recent years...
