Yuhang Wang
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View article: Effects of welding pressure on microstructural evolution and solid-state welding behaviors of 1420 Al-Li alloy
Effects of welding pressure on microstructural evolution and solid-state welding behaviors of 1420 Al-Li alloy Open
This study examines the welding of 1420 Al-Li alloy by varying welding pressure during the hot pressing process. The effect of welding pressure on the microstructural evolution of the welding interface in Al-Li alloy was analyzed and chara…
View article: AlchemBERT: Exploring Lightweight Language Models for Materials Informatics
AlchemBERT: Exploring Lightweight Language Models for Materials Informatics Open
The emergence of large language models (LLMs) has spurred numerous applications across various domains, including material design. In this field, an increasing number of generative models focus on directly generating materials with desired…
View article: Investigation of the microstructure and surface integrity of the quenched 9Cr5Mo rolling steel after warm shot peening
Investigation of the microstructure and surface integrity of the quenched 9Cr5Mo rolling steel after warm shot peening Open
Rolls are prone to surface wear, fracture, and other defects during operation. To investigate the enhanced performance of 9Cr5Mo roll steel, the surface integrity and microstructure of roll steel following warm shot peening were analyzed u…
View article: Enhancing Cluster Resilience: LLM-agent Based Autonomous Intelligent Cluster Diagnosis System and Evaluation Framework
Enhancing Cluster Resilience: LLM-agent Based Autonomous Intelligent Cluster Diagnosis System and Evaluation Framework Open
Recent advancements in Large Language Models (LLMs) and related technologies such as Retrieval-Augmented Generation (RAG) and Diagram of Thought (DoT) have enabled the creation of autonomous intelligent systems capable of performing cluste…
View article: Spatio-temporal-based multi-level aggregation network for physical action recognition
Spatio-temporal-based multi-level aggregation network for physical action recognition Open
This paper introduces spatio-temporal-based multi-level aggregation network (ST-MANet) for action recognition. It utilizes the correlations between different spatial positions and the correlations between different temporal positions on th…
View article: MAUNext: a lightweight segmentation network for medical images
MAUNext: a lightweight segmentation network for medical images Open
Objective . The primary objective of this study is to enhance medical image segmentation techniques for clinical research by prioritizing accuracy and the number of parameters. Approach . To achieve this objective, a novel codec-based MAUN…
View article: DMAGNet: Dual‐path multi‐scale attention guided network for medical image segmentation
DMAGNet: Dual‐path multi‐scale attention guided network for medical image segmentation Open
In recent years, convolutional neural networks (CNN)‐based automatic segmentation of medical images has become one of the hot topics in clinical disease diagnosis. It is still a challenging task to improve the segmentation accuracy of the …
View article: Towards Prompt-robust Face Privacy Protection via Adversarial Decoupling Augmentation Framework
Towards Prompt-robust Face Privacy Protection via Adversarial Decoupling Augmentation Framework Open
Denoising diffusion models have shown remarkable potential in various generation tasks. The open-source large-scale text-to-image model, Stable Diffusion, becomes prevalent as it can generate realistic artistic or facial images with person…
View article: Human action recognition using a depth sequence key-frames based on discriminative collaborative representation classifier for healthcare analytics
Human action recognition using a depth sequence key-frames based on discriminative collaborative representation classifier for healthcare analytics Open
Using deep map sequence to recognize human action is an important research field in computer vision. The traditional deep map-based methods have a lot of redundant information. Therefore, this paper proposes a new deep map sequence feature…
View article: Regional Localization of Mouse Brain Slices Based on Unified Modal Transformation
Regional Localization of Mouse Brain Slices Based on Unified Modal Transformation Open
Brain science research often requires accurate localization and quantitative analysis of neuronal activity in different brain regions. The premise of related analysis is to determine the brain region of each site on the brain slice by refe…
View article: Handwritten digit recognition based on corner detection and convolutional neural network
Handwritten digit recognition based on corner detection and convolutional neural network Open
In the field of inspection and testing, it is necessary to manually fill a large number of test record forms, and the digital information accounts for a large proportion in the record forms. For the purpose of automatic and accurate recogn…
View article: Adaptive Context Network for Scene Parsing
Adaptive Context Network for Scene Parsing Open
Recent works attempt to improve scene parsing performance by exploring different levels of contexts, and typically train a well-designed convolutional network to exploit useful contexts across all pixels equally. However, in this paper, we…
View article: Research of the small Qubit quantum computing attack to the RSA public key cryptography
Research of the small Qubit quantum computing attack to the RSA public key cryptography Open
The small Qubit quantum algorithm attack to RSA was proposed,the need Qubit of the first quantum register from 2L to L1,it can be reduced to 2 Qubit,the overall space complexity denoted (L1,L),where 2L1≥r,r is the period of decomposed.Beca…
View article: Stacked Deconvolutional Network for Semantic Segmentation
Stacked Deconvolutional Network for Semantic Segmentation Open
Recent progress in semantic segmentation has been driven by improving the spatial resolution under Fully Convolutional Networks (FCNs). To address this problem, we propose a Stacked Deconvolutional Network (SDN) for semantic segmentation. …
View article: Tolerance on sphere radius for the calibration of the transfer function of coherence scanning interferometry
Tolerance on sphere radius for the calibration of the transfer function of coherence scanning interferometry Open
Copyright 2017 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commerc…
View article: On tilt and curvature dependent errors and the calibration of coherence scanning interferometry
On tilt and curvature dependent errors and the calibration of coherence scanning interferometry Open
Although coherence scanning interferometry (CSI) is capable of measuring surface topography with sub-nanometre precision, it is well known that the performance of measuring instruments depends strongly on the local tilt and curvature of th…