Search Results - "Jinlong Hou"
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Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning
Published in IEEE access (2019)“…In existing visual representation learning tasks, deep convolutional neural networks (CNNs) are often trained on images annotated with single tag, such as…”
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Journal Article -
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CGBVS‐DNN: Prediction of Compound‐protein Interactions Based on Deep Learning
Published in Molecular informatics (01-01-2017)“…Computational prediction of compound‐protein interactions (CPIs) is of great importance for drug design as the first step in in‐silico screening. We previously…”
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3
Homologous recombination is a force in the evolution of canine distemper virus
Published in PloS one (10-04-2017)“…Canine distemper virus (CDV) is the causative agent of canine distemper (CD) that is a highly contagious, lethal, multisystemic viral disease of receptive…”
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Establishment and Application of Polymerase Spiral Reaction Amplification for Salmonella Detection in Food
Published in Journal of microbiology and biotechnology (28-10-2019)“…is a common zoonotic and foodborne pathogen that causes high morbidity and mortality in developing countries. In this study, we established and validated a…”
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Establishment and Application of Polymerase Spiral Reaction Amplification for Salmonella Detection in Food
Published in Journal of microbiology and biotechnology (31-10-2019)“…Salmonella is a common zoonotic and foodborne pathogen that causes high morbidity and mortality in developing countries. In this study, we established and…”
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Journal Article -
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Aquatic ecological risk assessment of imidacloprid and thiacloprid in an urban river of Qingdao, China
Published in Marine pollution bulletin (01-02-2024)“…Imidacloprid and thiacloprid, two neonicotinoid insecticides that are extensively used in urban areas, are potentially toxic to non-target aquatic organisms…”
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Distribution and ecological risk assessment of perfluoroalkyl carboxylic acids (PFCAs) in the coastal river, China
Published in Chemosphere (Oxford) (01-10-2024)“…Perfluoroalkyl carboxylic acids (PFCAs) enter surface waters through wastewater discharge and atmospheric deposition, accumulating within aquatic ecosystems…”
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Optimizing Non-contiguous Memory Access on Intel Xeon Phi Coprocessors
“…As an innovative design for high performance computing, Intel Xeon Phi coprocessor based on Intel Many Integrated Core (Intel MIC) architecture relies heavily…”
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Conference Proceeding -
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Design of 3D Positioning Algorithm Based on RFID Receiver Array for In Vivo Micro-Robot
Published in 2009 Eighth IEEE International Conference on Dependable, Autonomic and Secure Computing (01-12-2009)“…The clinical applications of capsule endoscopes have been increasing consistently since the invention of a passive capsule endoscope was made. Though the…”
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Conference Proceeding -
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Design and Implementation of a High Resolution Localization System for In-Vivo Capsule Endoscopy
Published in 2009 Eighth IEEE International Conference on Dependable, Autonomic and Secure Computing (01-12-2009)“…Capsule endoscopes have been proven useful to diagnose lesions along digestive tracts in recent years. However,the capsule moving through the GI tract can't be…”
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Conference Proceeding -
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Design and Implementation of 3D Positioning Algorithms Based on RF Signal Radiation Patterns for In Vivo Micro-robot
Published in 2010 International Conference on Body Sensor Networks (01-06-2010)“…Recent popularity of capsule endoscopes as a medical means to investigate lesions along digestive tract has prompted complaints by doctors about the in…”
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Conference Proceeding -
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OPTIMA: Optimized Policy for Intelligent Multi-Agent Systems Enables Coordination-Aware Autonomous Vehicles
Published 08-10-2024“…Coordination among connected and autonomous vehicles (CAVs) is advancing due to developments in control and communication technologies. However, much of the…”
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Journal Article -
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Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning
Published 09-02-2020“…In existing visual representation learning tasks, deep convolutional neural networks (CNNs) are often trained on images annotated with single tags, such as…”
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Journal Article