Search Results - "Sun, Zeren"
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Co-LDL: A Co-Training-Based Label Distribution Learning Method for Tackling Label Noise
Published in IEEE transactions on multimedia (2022)“…Performances of deep neural networks are prone to be degraded by label noise due to their powerful capability in fitting training data. Deeming low-loss…”
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Apolipoprotein E knockout, but not cholesteryl ester transfer protein (CETP)-associated high-density lipoprotein cholesterol (HDL-C) lowering, exacerbates muscle wasting in dysferlin-null mice
Published in Lipids in health and disease (13-08-2024)“…Dysferlin-deficient limb-girdle muscular dystrophy type 2B (Dysf) mice are notorious for their mild phenotype. Raising plasma total cholesterol (CHOL) via…”
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Learning With Imbalanced Noisy Data by Preventing Bias in Sample Selection
Published in IEEE transactions on multimedia (2024)“…Learning with noisy labels has gained increasing attention because the inevitable imperfect labels in real-world scenarios can substantially hurt the deep…”
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4
Attention Map Guided Transformer Pruning for Occluded Person Re-Identification on Edge Device
Published in IEEE transactions on multimedia (01-01-2023)“…Due to its significant capability of modeling long-range dependencies, vision transformer (ViT) has achieved promising success in both holistic and occluded…”
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5
A new therapeutic effect of fenofibrate in Duchenne muscular dystrophy: The promotion of myostatin degradation
Published in British journal of pharmacology (01-03-2022)“…Background and Purpose Duchenne muscular dystrophy (DMD) is a degenerative muscle disease with no effective drug treatment. This study investigated the…”
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6
Road segmentation with image-LiDAR data fusion in deep neural network
Published in Multimedia tools and applications (01-12-2020)“…Robust road segmentation is a key challenge in self-driving research. Though many image based methods have been studied and high performances in dataset…”
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Mitochondrial dysfunction and inhibition of myoblast differentiation in mice with high‐fat‐diet‐induced pre‐diabetes
Published in Journal of cellular physiology (01-05-2019)“…Pre‐diabetes is characterized by impaired glucose tolerance (IGT) and/or impaired fasting glucose. Impairment of skeletal muscle function is closely associated…”
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Boosting Robust Learning Via Leveraging Reusable Samples in Noisy Web Data
Published in IEEE transactions on multimedia (2023)“…Webly-supervised fine-grained visual classification (FGVC) has attracted increasing attention in recent years because of the unaffordable cost of obtaining…”
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Dyslipidemia in Muscular Dystrophy: A Systematic Review and Meta-Analysis
Published in Journal of neuromuscular diseases (01-01-2023)“…Muscular dystrophies (MDs) are characterized by chronic muscle wasting but also poorly understood metabolic co-morbidities. We have recently shown that…”
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10
Limb-girdle muscular dystrophy type 2B causes HDL-C abnormalities in patients and statin-resistant muscle wasting in dysferlin-deficient mice
Published in Skeletal muscle (29-11-2022)“…Limb-girdle muscular dystrophy (MD) type 2B (LGMD2B) and Duchenne MD (DMD) are caused by mutations to the Dysferlin and Dystrophin genes, respectively. We have…”
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Exploiting Category Similarity-Based Distributed Labeling for Fine-Grained Visual Classification
Published in IEEE access (2020)“…The fine-grained visual classification (FGVC) which aims to distinguish subtle differences among subcategories is an important computer vision task. However,…”
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A potential therapeutic effect of catalpol in Duchenne muscular dystrophy revealed by binding with TAK1
Published in Journal of cachexia, sarcopenia and muscle (01-10-2020)“…Background Duchenne muscular dystrophy (DMD) is a progressive muscle disease caused by the loss of dystrophin, which results in inflammation, fibrosis, and the…”
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TAK1 inhibition improves myoblast differentiation and alleviates fibrosis in a mouse model of Duchenne muscular dystrophy
Published in Journal of cachexia, sarcopenia and muscle (01-02-2021)“…Background Transforming growth factor‐β‐activated kinase 1 (TAK1) plays a key role in regulating fibroblast and myoblast proliferation and differentiation…”
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Jo-SRC: A Contrastive Approach for Combating Noisy Labels
Published in 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2021)“…Due to the memorization effect in Deep Neural Networks (DNNs), training with noisy labels usually results in inferior model performance. Existing…”
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Conference Proceeding -
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Platinum-Based Combination Therapy: Molecular Rationale, Current Clinical Uses, and Future Perspectives
Published in Journal of medicinal chemistry (25-11-2020)“…Platinum drugs are common in chemotherapy, but their clinical applications have been limited due to drug resistance and severe toxic effects. The combination…”
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Apolipoprotein E knockout, but not cholesteryl ester transfer protein lowering, exacerbates muscle wasting in dysferlin-null mice
Published in Lipids in health and disease (13-08-2024)“…Background Dysferlin-deficient limb-girdle muscular dystrophy type 2B (Dysf) mice are notorious for their mild phenotype. Raising plasma total cholesterol…”
Get full text
Journal Article -
17
PNP: Robust Learning from Noisy Labels by Probabilistic Noise Prediction
Published in 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2022)“…Label noise has been a practical challenge in deep learning due to the strong capability of deep neural networks in fitting all training data. Prior literature…”
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Conference Proceeding -
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Exploiting textual queries for dynamically visual disambiguation
Published in Pattern recognition (01-02-2021)“…•Adapt to dynamic changes in search results and carry out visual disambiguation.•A saliency-guided deep MIL network to remove outliers and learn visual…”
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Rational Design of PARP1/c-Met Dual Inhibitors for Overcoming PARP1 Inhibitor Resistance Induced by c‑Met Overexpression
Published in Journal of medicinal chemistry (28-03-2024)“…The emergence of resistance to PARP1 inhibitors poses a current therapeutic challenge, necessitating the development of novel strategies to overcome this…”
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Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An Approach
Published in 2021 IEEE/CVF International Conference on Computer Vision (ICCV) (01-10-2021)“…Learning from the web can ease the extreme dependence of deep learning on large-scale manually labeled datasets. Especially for fine-grained recognition, which…”
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Conference Proceeding