51 Result(s)
within
**Cheng Shen
Computer Science
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Chapter and Conference Paper
Profiting from High Frequency Market Psychology Data with Deep Learning
It is challenging to predict financial markets, but there have been continued efforts to develop improved prediction methods
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Chapter and Conference Paper
The Design of AI-Enabled Experience-Based Knowledge Management System to Facilitate Knowing and Doing in Communities of Practice
This research aims to propose an experience-based knowledge management (EBKMS) to facilitate knowledge activities in a community of practice (CoP). Based on the capabilities offered by conversational AI and a ...
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Chapter and Conference Paper
Online Matching with Stochastic Rewards: Advanced Analyses Using Configuration Linear Programs
Mehta and Panigrahi (2012) proposed Online Matching with Stochastic Rewards, which generalizes the Online Bipartite Matching problem of Karp, Vazirani, and Vazirani (1990) by associating the edges with success...
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Article
A compression-based memory-efficient optimization for out-of-core GPU stencil computation
A code for out-of-core stencil computation manages data that exceeds the memory capacity of a GPU. However, such a code necessitates frequent data transfers between the CPU and GPU, which often impede overall ...
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Chapter and Conference Paper
Materials Science Ontology Design with an Analytico-Synthetic Facet Analysis Framework
Researchers across nearly every discipline seek to leverage ontologies for knowledge discovery and computational tasks; yet, the number of machine readable materials science ontologies is limited. The work pre...
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Chapter and Conference Paper
Improved U-Net Based on Dual Attention Mechanism for Glottis Segmentation and Dysphagia Auxiliary Diagnosis
In today’s aging society, the proportion of elderly population is increasing year by year, and providing comprehensive care for the elderly has become an important issue. Among many aging diseases, dysphagia i...
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Article
BAM: a balanced attention mechanism to optimize single image super-resolution
Recovering texture information from the aliasing regions has always been a major challenge for single image super-resolution (SISR) task. These regions are often submerged in noise so that we have to restore t...
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Article
Adversarial learning with data selection for cross-domain histopathological breast Cancer segmentation
Histopathology plays an important role in the clinical diagnosis of breast diseases. Early diagnosis and adjuvant therapy are of great help to patients. With the development of deep learning, fully convolution...
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Chapter and Conference Paper
MDN: Meta-transfer Learning Method for Fake News Detection
The rapid development of social media has brought convenience to people’s lives, but at the same time, it has also led to the widespread and rapid dissemination of false information among the population, which...
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Chapter and Conference Paper
Accelerating GPU-Based Out-of-Core Stencil Computation with On-the-Fly Compression
Stencil computation is an important class of scientific applications that can be efficiently executed by graphics processing units (GPUs). Out-of-core approaches help run large scale stencil codes that process...
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Article
Truthfully coordinating participation routes in informative participatory sensing
Participatory sensing is a promising approach with which people contribute sensory information to form a body of knowledge. In practice, people may have different ways to engage in a participatory sensing camp...
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Chapter and Conference Paper
A Two-DOF Ultrasonic Motor Based on Longitudinal and Bending-Bending Vibrations for Manipulator
A novel two-DOF ultrasonic motor based on longitudinal and bending-bending vibrations was introduced in this paper. This proposed two-DOF ultrasonic motor is potential in driving the hyper-redundant manipulato...
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Chapter and Conference Paper
GMGCN: Gated Memory Graph Convolutional Network for Passenger Demand Prediction
With the rapid proliferation of smart ways to travel, the accurate prediction of passenger demand in urban areas has become an important task. Existing methods mainly focus on the modeling of Euclidean correla...
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Chapter and Conference Paper
Deep Active Learning for Breast Cancer Segmentation on Immunohistochemistry Images
Immunohistochemistry (IHC) plays an essential role in breast cancer diagnosis and treatment. Reliable and automatic segmentation of breast cancer regions on IHC images would be of considerable value for furthe...
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Chapter and Conference Paper
Weakly-Supervised Nucleus Segmentation Based on Point Annotations: A Coarse-to-Fine Self-Stimulated Learning Strategy
Nucleus segmentation is a fundamental task in digital pathology analysis. However, it is labor-expensive and time-consuming to manually annotate the pixel-level full nucleus masks, while it is easier to make p...
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Chapter and Conference Paper
Improving Face Recognition from Hard Samples via Distribution Distillation Loss
Large facial variations are the main challenge in face recognition. To this end, previous variation-specific methods make full use of task-related prior to design special network losses, which are typically no...
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Article
Coordinated flight control of miniature fixed-wing UAV swarms: methods and experiments
In this paper, we present our recent advances in both theoretical methods and field experiments for the coordinated control of miniature fixed-wing unmanned aerial vehicle (UAV) swarms. We propose a multi-laye...
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Article
Systemic design of distributed multi-UAV cooperative decision-making for multi-target tracking
In this paper, we consider the cooperative decision-making problem for multi-target tracking in multi-unmanned aerial vehicle (UAV) systems. The multi-UAV decision-making problem is modeled in the framework of...
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Chapter and Conference Paper
R \(^{2}\) -Net: Recurrent and Recursive Network for Sparse-View CT Artifacts Removal
We propose a novel neural network architecture to reduce streak artifacts generated in sparse-view 2D Computed Tomography image reconstruction. This architecture decomposes the streak artifacts removal into mu...
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Article
Event-triggered encirclement control of multi-agent systems with bearing rigidity
In recent years, the problem of multi-agent encirclement has attained much attention and was extensively studied. However, few work consider the factor that the on-board calculation as well as the communicatio...
