Search Results - "Yan, Jiangpeng"
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Anti-Interference From Noisy Labels: Mean-Teacher-Assisted Confident Learning for Medical Image Segmentation
Published in IEEE transactions on medical imaging (01-11-2022)“…Manually segmenting medical images is expertise-demanding, time-consuming and laborious. Acquiring massive high-quality labeled data from experts is often…”
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SE-stacking: Improving user purchase behavior prediction by information fusion and ensemble learning
Published in PloS one (25-11-2020)“…Online shopping behavior has the characteristics of rich granularity dimension and data sparsity and presents a challenging task in e-commerce. Previous…”
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All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-Supervised Medical Image Segmentation
Published in IEEE journal of biomedical and health informatics (01-07-2022)“…Semi-supervised learning has substantially advanced medical image segmentation since it alleviates the heavy burden of acquiring the costly expert-examined…”
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Hot workability and microstructure evolution of Al–0.2Sc–0.04Zr alloy
Published in Journal of materials science (01-05-2019)“…Hot deformation behavior of Al–0.2Sc–0.04Zr (wt.%) aluminum alloy was investigated via conducting hot compression tests at temperatures of 440–600 °C and at…”
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F3RNet: full-resolution residual registration network for deformable image registration
Published in International journal for computer assisted radiology and surgery (01-06-2021)“…Purpose Deformable image registration (DIR) is essential for many image-guided therapies. Recently, deep learning approaches have gained substantial popularity…”
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Coupled effect of pulsed current and ultrasonic vibration on deformation behavior of Inconel 718 sheet: phenomena and modeling
Published in Journal of materials research and technology (01-07-2023)“…Multi-energy fields provide higher dimensional precision control and desirable performance for microforming processes. The constitutive model under low strain…”
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Nuclear Power Plants With Artificial Intelligence in Industry 4.0 Era: Top-Level Design and Current Applications-A Systemic Review
Published in IEEE access (2020)“…Nuclear energy can make an important contribution to low-carbon energy supply for Industry 4.0, while Industry 4.0 can reform this industry in return. As a…”
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Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge
Published in Scientific reports (23-01-2024)“…Polyps are well-known cancer precursors identified by colonoscopy. However, variability in their size, appearance, and location makes the detection of polyps…”
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Effect of multi-pass deformation on microstructure evolution of spark plasma sintered TC4 titanium alloy
Published in High temperature materials and processes (01-01-2020)“…The TC4 titanium alloy powder test piece was prepared by spark plasma sintering. The multi-pass hot deformation of the TC4 titanium alloy was tested by using…”
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Microstructure evolution of TC4 powder by spark plasma sintering after hot deformation
Published in High temperature materials and processes (01-01-2020)“…The cylindrical samples of TC4 titanium alloy prepared by spark plasma sintering (SPS) were compressed with hot deformation of 70% on the thermosimulation…”
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A deep learning model with incorporation of microvascular invasion area as a factor in predicting prognosis of hepatocellular carcinoma after R0 hepatectomy
Published in Hepatology international (01-10-2022)“…Introduction Microvascular invasion (MVI) is a known risk factor for prognosis after R0 liver resection for hepatocellular carcinoma (HCC). The aim of this…”
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Neural Architecture Search for Compressed Sensing Magnetic Resonance Image Reconstruction
Published 02-11-2023“…Recent works have demonstrated that deep learning (DL) based compressed sensing (CS) implementation can accelerate Magnetic Resonance (MR) Imaging by…”
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13
Multi-Step Hindsight Experience Replay with Bias Reduction for Efficient Multi-Goal Reinforcement Learning
Published in 2023 International Conference on Frontiers of Robotics and Software Engineering (FRSE) (01-06-2023)“…Multi-goal reinforcement learning has emerged as a powerful approach for planning and robot manipulation tasks, but it faces challenges such as sparse rewards…”
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Conference Proceeding -
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Match4Rec: A Novel Recommendation Algorithm Based on Bidirectional Encoder Representation with the Matching Task
Published 15-09-2020“…Characterizing users' interests accurately plays a significant role in an effective recommender system. The sequential recommender system can learn powerful…”
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Mechanical behavior and underlying mechanism of nickel-based superalloy during coupling electrical pulse and ultrasonic treatment
Published in Materials science & engineering. A, Structural materials : properties, microstructure and processing (01-09-2024)“…Coupling electric pulse and ultrasonic treatment (CEPUT) is a multi-energy field-assisted forming technology that can improve the forming efficiency of…”
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Deep contrastive learning based tissue clustering for annotation-free histopathology image analysis
Published in Computerized medical imaging and graphics (01-04-2022)“…Background: Deep convolutional neural networks (CNNs) have yielded promising results in automatic whole slide images (WSIs) processing for digital pathology in…”
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Value activation for bias alleviation: Generalized-activated deep double deterministic policy gradients
Published in Neurocomputing (Amsterdam) (21-01-2023)“…•We propose a novel generalized-activated weighting operator for bias alleviation in deep reinforcement learning.•We show theoretically and experimentally that…”
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Towards Better Dermoscopic Image Feature Representation Learning for Melanoma Classification
Published 15-07-2022“…Deep learning-based melanoma classification with dermoscopic images has recently shown great potential in automatic early-stage melanoma diagnosis. However,…”
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Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation
Published in Medical image analysis (01-08-2023)“…Semi-supervised learning has greatly advanced medical image segmentation since it effectively alleviates the need of acquiring abundant annotations from…”
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Neural Architecture Search for compressed sensing Magnetic Resonance image reconstruction
Published in Computerized medical imaging and graphics (01-10-2020)“…Recent works have demonstrated that deep learning (DL) based compressed sensing (CS) implementation can accelerate Magnetic Resonance (MR) Imaging by…”
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