Yu Jiang
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View article: Towards a general-purpose foundation model for fMRI analysis
Towards a general-purpose foundation model for fMRI analysis Open
Functional Magnetic Resonance Imaging (fMRI) is essential for studying brain function and diagnosing neurological disorders, but current analysis methods face reproducibility and transferability issues due to complex pre-processing and tas…
View article: Towards a general-purpose foundation model for fMRI analysis
Towards a general-purpose foundation model for fMRI analysis Open
Functional Magnetic Resonance Imaging (fMRI) is crucial for studying brain function and diagnosing neurological disorders. However, existing methods for fMRI analysis suffer from reproducibility and transferability challenges, due to compl…
View article: UnPuzzle: A Unified Framework for Pathology Image Analysis
UnPuzzle: A Unified Framework for Pathology Image Analysis Open
Pathology image analysis plays a pivotal role in medical diagnosis, with deep learning techniques significantly advancing diagnostic accuracy and research. While numerous studies have been conducted to address specific pathological tasks, …
View article: Data Integrity Verification for Edge Computing Environments
Data Integrity Verification for Edge Computing Environments Open
Mobile edge computing (MEC), is a technology that extends the power of cloud computing to the edge of the end device, with the primary goal of providing faster response times and an optimized quality of service. Given that edge devices are…
View article: A Novel Energy Consumption Prediction Model Integrating Real-Time Traffic State Recognition and Velocity Prediction of BEVs
A Novel Energy Consumption Prediction Model Integrating Real-Time Traffic State Recognition and Velocity Prediction of BEVs Open
The widespread adoption of battery electric vehicles (BEVs) has highlighted the critical importance of precise energy consumption prediction models to address the problem of range anxiety among drivers. This study aims to enhance the accur…
View article: DC line fault discrimination based on maximum information coefficient
DC line fault discrimination based on maximum information coefficient Open
In DC networks, conventional line differential protection has the disadvantages of low reliability, weak resistance to transition resistance, and vulnerable to harmonic interference. In this paper, a fault identification method based on ma…
View article: Influence of system inertia time constant on transient stability level of AC power grid
Influence of system inertia time constant on transient stability level of AC power grid Open
Power system inertia is receiving increasing attention because the inclusion of renewable energy generation equipment weakens the inertia of the regional equivalent system and affects the transient stability of the system. In this paper, t…
View article: Adaptive Constraint Partition Based Optimization Framework for Large-Scale Integer Linear Programming (Student Abstract)
Adaptive Constraint Partition Based Optimization Framework for Large-Scale Integer Linear Programming (Student Abstract) Open
Integer programming problems (IPs) are challenging to be solved efficiently due to the NP-hardness, especially for large-scale IPs. To solve this type of IPs, Large neighborhood search (LNS) uses an initial feasible solution and iterativel…
View article: A prediction model based on an adaptive genetic algorithm and optimized Elman neural network for PV power
A prediction model based on an adaptive genetic algorithm and optimized Elman neural network for PV power Open
Due to the high volatility and randomness of PV power generation, fast change frequency, limited data samples and poor data conditions, the reliability, stability and economy of grid operation are affected seriously. Therefore, the accurat…
View article: Dynamic Spatial-temporal Hypergraph Convolutional Network for Skeleton-based Action Recognition
Dynamic Spatial-temporal Hypergraph Convolutional Network for Skeleton-based Action Recognition Open
Skeleton-based action recognition relies on the extraction of spatial-temporal topological information. Hypergraphs can establish prior unnatural dependencies for the skeleton. However, the existing methods only focus on the construction o…
View article: Research on the Current Situation and Development Trend of Adaptive Clothing Demand
Research on the Current Situation and Development Trend of Adaptive Clothing Demand Open
China is the country with the largest number of disabled people in the world. By 2022, according to the statistics of the China Disabled Persons Federation, the total number of disabled people in China has reached 85 million. In addition, …
View article: Finding Causally Different Tests for an Industrial Control System
Finding Causally Different Tests for an Industrial Control System Open
Industrial control systems (ICSs) are types of cyber-physical systems in which programs, written in languages such as ladder logic or structured text, control industrial processes through sensing and actuating. Given the use of ICSs in cri…
View article: Identifying Industrial Control Equipment Based on Rule Matching and Machine Learning
Identifying Industrial Control Equipment Based on Rule Matching and Machine Learning Open
To identify industrial control equipment is often a key step in network mapping, categorizing network resources, and attack defense. For example, if vulnerable equipment or devices can be discovered in advance and the attack path can be cu…
View article: A Model for Helmet-Wearing Detection of Non-Motor Drivers Based on YOLOv5s
A Model for Helmet-Wearing Detection of Non-Motor Drivers Based on YOLOv5s Open
Detecting non-motor drivers’ helmets has significant implications for traffic control. Currently, most helmet detection methods are susceptible to the complex background and need more accuracy and better robustness of small object detectio…
View article: Computer vision for road imaging and pothole detection: a state-of-the-art review of systems and algorithms
Computer vision for road imaging and pothole detection: a state-of-the-art review of systems and algorithms Open
Computer vision algorithms have been utilized for 3-D road imaging and pothole detection for over two decades. Nonetheless, there is a lack of systematic survey articles on state-of-the-art (SoTA) computer vision techniques, especially dee…
View article: Adaptive Constraint Partition based Optimization Framework for Large-scale Integer Linear Programming(Student Abstract)
Adaptive Constraint Partition based Optimization Framework for Large-scale Integer Linear Programming(Student Abstract) Open
Integer programming problems (IPs) are challenging to be solved efficiently due to the NP-hardness, especially for large-scale IPs. To solve this type of IPs, Large neighborhood search (LNS) uses an initial feasible solution and iterativel…
View article: Spacecraft cluster cloud high-frequency optimization computing theory
Spacecraft cluster cloud high-frequency optimization computing theory Open
A brief idea
View article: Type-supervised sequence labeling based on the heterogeneous star graph for named entity recognition
Type-supervised sequence labeling based on the heterogeneous star graph for named entity recognition Open
Named entity recognition is a fundamental task in natural language processing, identifying the span and category of entities in unstructured texts. The traditional sequence labeling methodology ignores the nested entities, i.e. entities in…
View article: End-to-End Entity Detection with Proposer and Regressor
End-to-End Entity Detection with Proposer and Regressor Open
Named entity recognition is a traditional task in natural language processing. In particular, nested entity recognition receives extensive attention for the widespread existence of the nesting scenario. The latest research migrates the wel…
View article: NeuralRoom: Geometry-Constrained Neural Implicit Surfaces for Indoor Scene Reconstruction
NeuralRoom: Geometry-Constrained Neural Implicit Surfaces for Indoor Scene Reconstruction Open
We present a novel neural surface reconstruction method called NeuralRoom for reconstructing room-sized indoor scenes directly from a set of 2D images. Recently, implicit neural representations have become a promising way to reconstruct su…
View article: Facilitating Self-monitored Physical Rehabilitation with Virtual Reality and Haptic feedback
Facilitating Self-monitored Physical Rehabilitation with Virtual Reality and Haptic feedback Open
Physical rehabilitation is essential to recovery from joint replacement operations. As a representation, total knee arthroplasty (TKA) requires patients to conduct intensive physical exercises to regain the knee's range of motion and muscl…
View article: Skeleton-based Action Recognition via Temporal-Channel Aggregation
Skeleton-based Action Recognition via Temporal-Channel Aggregation Open
Skeleton-based action recognition methods are limited by the semantic extraction of spatio-temporal skeletal maps. However, current methods have difficulty in effectively combining features from both temporal and spatial graph dimensions a…
View article: Medication Error Detection Using Contextual Language Models
Medication Error Detection Using Contextual Language Models Open
Medication errors most commonly occur at the ordering or prescribing stage, potentially leading to medical complications and poor health outcomes. While it is possible to catch these errors using different techniques; the focus of this wor…
View article: Research on simulating the movement track of consumers holding cigarettes by using manipulator
Research on simulating the movement track of consumers holding cigarettes by using manipulator Open
Consumers’ different smoking habits and movement trajectories in the process of smoking have an important impact on cigarette combustion quality and consumption feeling. By analysing the typical action of holding a cigarette, the position,…
View article: A tractor-trailer parking control scheme using adaptive dynamic programming
A tractor-trailer parking control scheme using adaptive dynamic programming Open
This paper studies the online learning control of a truck-trailer parking problem via adaptive dynamic programming (ADP). The contribution is twofold. First, a novel ADP method is developed for systems with parametric nonlinearities. It le…
View article: Extracting Typhoon Disaster Information from VGI Based on Machine Learning
Extracting Typhoon Disaster Information from VGI Based on Machine Learning Open
The southeastern coast of China suffers many typhoon disasters every year, causing huge casualties and economic losses. In addition, collecting statistics on typhoon disaster situations is hard work for the government. At the same time, ne…