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Your search keyword '"Shi, Yuhong"' showing total 122 results
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122 results on '"Shi, Yuhong"'

2. Multi-Graph Convolution Network for Pose Forecasting

Author

Ren, Hongwei, Shi, Yuhong, and Liang, Kewei

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Recently, there has been a growing interest in predicting human motion, which involves forecasting future body poses based on observed pose sequences. This task is complex due to modeling spatial and temporal relationships. The most commonly used models for this task are autoregressive models, such as recurrent neural networks (RNNs) or variants, and Transformer Networks. However, RNNs have several drawbacks, such as vanishing or exploding gradients. Other researchers have attempted to solve the communication problem in the spatial dimension by integrating Graph Convolutional Networks (GCN) and Long Short-Term Memory (LSTM) models. These works deal with temporal and spatial information separately, which limits the effectiveness. To fix this problem, we propose a novel approach called the multi-graph convolution network (MGCN) for 3D human pose forecasting. This model simultaneously captures spatial and temporal information by introducing an augmented graph for pose sequences. Multiple frames give multiple parts, joined together in a single graph instance. Furthermore, we also explore the influence of natural structure and sequence-aware attention to our model. In our experimental evaluation of the large-scale benchmark datasets, Human3.6M, AMSS and 3DPW, MGCN outperforms the state-of-the-art in pose prediction., Comment: arXiv admin note: text overlap with arXiv:2110.04573 by other authors

Published
2023

3. LFENav: LLM-Based Frontiers Exploration for Visual Semantic Navigation

Author

Shi, Yuhong, Liu, Jianyi, Zheng, Xinhu, Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Carette, Jacques, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Stettner, Lukasz, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Rettberg, Achim, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Maglogiannis, Ilias, editor, Iliadis, Lazaros, editor, Macintyre, John, editor, Avlonitis, Markos, editor, and Papaleonidas, Antonios, editor

Published
2024
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4. Incremental Conflict-Based Search for Multi-agent Path Finding in Dynamic Environment

Author

Wang, Yu, Shi, Yuhong, Liu, Jianyi, Zheng, Xinhu, Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Carette, Jacques, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Stettner, Lukasz, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Rettberg, Achim, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Maglogiannis, Ilias, editor, Iliadis, Lazaros, editor, Macintyre, John, editor, Avlonitis, Markos, editor, and Papaleonidas, Antonios, editor

Published
2024
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12. Cloud-Based IoT Data Mining Thinking

Author

Li, Mindong, Shi, Yuhong, Xhafa, Fatos, Series Editor, Xu, Zheng, editor, Alrabaee, Saed, editor, Loyola-González, Octavio, editor, Zhang, Xiaolu, editor, Cahyani, Niken Dwi Wahyu, editor, and Ab Rahman, Nurul Hidayah, editor

Published
2022
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22. Selective internal radiation therapy with yttrium‐90 resin microspheres followed by anatomical hepatectomy: A potential curative strategy in advanced hepatocellular carcinoma.

Author

Feng, Xiaobin, Zhang, Lin, Niu, Huimin, Zhang, Hui, Yang, Li, Wen, Yong, Chen, Steve Y., Shi, Yuhong, He, Zuoxiang, Yu, Lijuan, Wang, Yujun, Huang, Xin, Wang, Zhiheng, Qin, Mengmeng, Wen, Xiaoxi, Zhang, Zhenyu, Song, Jiyong, Zheng, Zhuozhao, Yin, Hongfang, and Zhang, Huan

Subjects
HEPATOCELLULAR carcinoma, HEPATECTOMY, RADIOTHERAPY, MICROSPHERES, RADIOEMBOLIZATION, LIVER cancer, HEPATIC veins
Abstract

About 80% of hepatocellular carcinoma (HCC) patients are in advanced stages and ineligible for curative surgery. Palliative treatments just maintained limited survival, thus an effective downstaging therapy is badly needed. Here we report an initially unresectable patient who underwent radical hepatectomy after successful downstaging with selective internal radiation therapy (SIRT). A 34‐year‐old man was diagnosed with China Liver Cancer Staging (CNLC) IIIa HCC. Due to insufficient future liver remnant and vascular involvement, the patient was suggested to be unresectable. SIRT with yttrium‐90 resin microspheres was given. At three months post‐SIRT, a complete response was achieved. The tumor was downstaged to CNLC Ia stage. The patient underwent anatomical hepatectomy 5 months after SIRT. Histopathological examination of the resected specimen showed 4% viable tumor cells inside a necrotic mass. To our knowledge, this is the first case who underwent SIRT with yttrium‐90 resin microspheres in China mainland. The success of the downstaging in this case renders a possible cure to be achieved in an initially unresectable patient. In addition, the nearly complete tumor necrosis in the resected specimen indicates a good prognosis post‐surgery. This is the first case who underwent SIRT with yttrium‐90 resin microspheres in China mainland. SIRT followed by anatomical hepatectomy is a potentially curative strategy for unresectable HCC, which deserves a confirmative trial in the future. [ABSTRACT FROM AUTHOR]

Published
2024
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26. Selective internal radiation therapy with yttrium‐90 resin microspheres followed by anatomical hepatectomy: A potential curative strategy in advanced hepatocellular carcinoma

Author

Feng, Xiaobin, primary, Zhang, Lin, additional, Niu, Huimin, additional, Zhang, Hui, additional, Yang, Li, additional, Wen, Yong, additional, Chen, Steve Y., additional, Shi, Yuhong, additional, He, Zuoxiang, additional, Yu, Lijuan, additional, Wang, Yujun, additional, Huang, Xin, additional, Wang, Zhiheng, additional, Qin, Mengmeng, additional, Wen, Xiaoxi, additional, Zhang, Zhenyu, additional, Song, Jiyong, additional, Zheng, Zhuozhao, additional, Yin, Hongfang, additional, Zhang, Huan, additional, Ma, Lijuan, additional, Wei, Jixiang, additional, Wu, Xinlai, additional, Zhang, Leida, additional, Zhao, Yue, additional, Lu, Qian, additional, Xiao, Hui, additional, Liu, Tongting, additional, Fang, Pihua, additional, Wei, Lai, additional, Gandhi, Ripal T., additional, and Dong, Jiahong, additional

Published
2023
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29. Seabed Sediment Classification for Sonar Images Based on Deep Learning

Author

Shi, Yuhong, Chen, Mo, Yao, Chunlong, Li, Xu, and Shen, Lan

Subjects
ShuffleNet, Image classification, sonar image, General Engineering, deep learning, sediment classification
Abstract

Along with the development of sonar technology, the detection accuracy and stability of sonar have been improved. A large amount of seabed sediment information can be obtained through sonar detection. However, this information is often accompanied by noise interference, resulting in poor quality of the generated images. Moreover, sonar images are different from conventional images. There are single-channel images. The model needs to classify the images according to the texture features in the images. Coupled with the scarcity of sonar data, this makes it difficult to accurately classify the seabed sediment. According to the characteristics of sonar images, we propose the ShuffleNet-DSE which is a classification model based on deep learning. The ShuffleNet-DSE network is based on ShuffleNet-V2, while ensuring the lightweight of the network, it incorporates feature dense connection and Squeeze-and-Excitation (SE) structure channel self-attention. And combined with the sonar image's characteristics, the partial activation function of the model is changed to the Swish. The experimental results show that compared with the traditional machine learning classification method, ShuffleNet-DSE has greatly improved the classification accuracy and the computational cost. Compared with excellent neural network models such as AlexNet, MobileNet-V3, GoogLeNet and ResNet, it is more suitable for sonar image processing.

Published
2022

39. Molecular response of keloids to ionizing radiation: targeting FOXO1 radiosensitizes keloids.

Author

Hong, Min, Li, Xiaoqian, Liu, Yulan, Mo, Wei, Shi, Bin, Chen, Shigao, Yan, Tao, Shi, Yuhong, Yu, Daojiang, and Zhang, Shuyu

Subjects
IONIZING radiation, KELOIDS, CELLULAR aging, MESSENGER RNA, GENE expression, TRANSCRIPTION factors
Abstract

Keloids are benign dermal tumors that arise from abnormal wound healing processes following skin lesions. Surgical excision followed by radiotherapy plays an important role in the treatment of keloids. Nevertheless, radioresistance remains a serious impediment to treatment efficacy. Investigation of the molecular response of keloids to radiation may contribute to radiosensitizing strategies. Primary keloid fibroblasts from human keloids were isolated and irradiated with X-ray. The expression profiles of messenger RNA (mRNA) in nonradiated and irradiated primary keloid fibroblasts were measured by mRNA sequencing analysis. Then, we identified common motifs and corresponding transcription factors of dysregulated mRNAs by using bioinformatic analysis of the proximal promoters. Whereafter, GO and KEGG were used to analyze the functional enrichment of the differentially expressed genes. We found that radiation not only suppressed proliferation but also increased cell senescence of primary keloid fibroblasts. There were 184 mRNAs and 204 mRNAs that showed significant changes in 4 and 8 Gy irradiated primary keloid fibroblasts, respectively. Among them, 8 upregulated and 30 downregulated mRNAs showed consistent alterations in 4 and 8 Gy irradiated primary keloid fibroblasts. More importantly, the xForkhead box O1 (FOXO1) signaling pathway was involved in the irradiation response. Pretreatment with the FOXO1 signaling inhibitor AS1842856 significantly promoted LDH release, apoptosis and senescence of primary keloid fibroblasts following irradiation. Our findings illustrated the molecular changes in human keloid fibroblasts in response to radiation, and FOXO1 pathway inhibition is expected to provide a novel strategy for the radiosensitization of keloids. [ABSTRACT FROM AUTHOR]

Published
2023
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43. Transcriptome Profiling Unveils a Critical Role of IL-17 Signaling-Mediated Inflammation in Radiation-Induced Esophageal Injury in Rats

Author

Yao, Jia, primary, Zhang, Jinkang, additional, Wang, Jinlong, additional, Lai, Qian, additional, Yuan, Weijun, additional, Liu, Zhongyu, additional, Cheng, Shuanghua, additional, Feng, Yahui, additional, Jiang, Zhiqiang, additional, Shi, Yuhong, additional, Jiang, Sheng, additional, and Tu, Wenling, additional

Published
2022
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45. Molecular response of keloids to ionizing radiation: targeting FOXO1 radiosensitizes keloids

Author

Hong, Min, Li, Xiaoqian, Liu, Yulan, Mo, Wei, Shi, Bin, Chen, Shigao, Yan, Tao, Shi, Yuhong, Yu, Daojiang, and Zhang, Shuyu

Subjects
Radiological and Ultrasound Technology, Radiology, Nuclear Medicine and imaging
Abstract

Keloids are benign dermal tumors that arise from abnormal wound healing processes following skin lesions. Surgical excision followed by radiotherapy plays an important role in the treatment of keloids. Nevertheless, radioresistance remains a serious impediment to treatment efficacy. Investigation of the molecular response of keloids to radiation may contribute to radiosensitizing strategies. Primary keloid fibroblasts from human keloids were isolated and irradiated with X-ray. The expression profiles of messenger RNA (mRNA) in nonradiated and irradiated primary keloid fibroblasts were measured by mRNA sequencing analysis. Then, we identified common motifs and corresponding transcription factors of dysregulated mRNAs by using bioinformatic analysis of the proximal promoters. Whereafter, GO and KEGG were used to analyze the functional enrichment of the differentially expressed genes. We found that radiation not only suppressed proliferation but also increased cell senescence of primary keloid fibroblasts. There were 184 mRNAs and 204 mRNAs that showed significant changes in 4 and 8 Gy irradiated primary keloid fibroblasts, respectively. Among them, 8 upregulated and 30 downregulated mRNAs showed consistent alterations in 4 and 8 Gy irradiated primary keloid fibroblasts. More importantly, the xForkhead box O1 (FOXO1) signaling pathway was involved in the irradiation response. Pretreatment with the FOXO1 signaling inhibitor AS1842856 significantly promoted LDH release, apoptosis and senescence of primary keloid fibroblasts following irradiation. Our findings illustrated the molecular changes in human keloid fibroblasts in response to radiation, and FOXO1 pathway inhibition is expected to provide a novel strategy for the radiosensitization of keloids.

Published
2022
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46. Supplemental Material - Transcriptome Profiling Unveils a Critical Role of IL-17 Signaling-Mediated Inflammation in Radiation-Induced Esophageal Injury in Rats

Author

Yao, Jia, Zhang, Jinkang, Wang, Jinlong, Lai, Qian, Yuan, Weijun, Liu, Zhongyu, Cheng, Shuanghua, Feng, Yahui, Jiang, Zhiqiang, Shi, Yuhong, Jiang, Sheng, and Tu, Wenling

Subjects
110320 Radiology and Organ Imaging, FOS: Clinical medicine, 111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified
Abstract

Supplemental Material for Transcriptome Profiling Unveils a Critical Role of IL-17 Signaling-Mediated Inflammation in Radiation-Induced Esophageal Injury in Rats by Jia Yao, Jinkang Zhang, Jinlong Wang, Qian Lai, Weijun Yuan, Zhongyu Liu, Shuanghua Cheng, Yahui Feng, Zhiqiang Jiang, Yuhong Shi, Sheng Jiang, and Wenling Tu in Dose-Response

Published
2022
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47. Metabolic Profiling Implicates a Critical Role of Cyclooxygenase-2-Mediated Arachidonic Acid Metabolism in Radiation-Induced Esophageal Injury in Rats

Author

Tu, Wenling, primary, Feng, Yahui, additional, Lai, Qian, additional, Wang, Jinlong, additional, Yuan, Weijun, additional, Yang, Jingxuan, additional, Jiang, Sheng, additional, Wu, Ailing, additional, Cheng, Shuanghua, additional, Shao, Jichun, additional, Li, Jingyi, additional, Jiang, Zhiqiang, additional, Tang, Hui, additional, Shi, Yuhong, additional, and Zhang, Shuyu, additional

Published
2022
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