Search

Your search keyword '"Liu, Chunfang"' showing total 573 results
Start Over Author "Liu, Chunfang"
573 results on '"Liu, Chunfang"'

3. 6-DoF Grasp Planning on Point Cloud for Human-to-Robot Handover Task

Author

Liu, Chunfang, Wang, Weifan, Pang, Ruitian, Li, Chenxin, Shang, Yan, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Sun, Fuchun, editor, Meng, Qinghu, editor, Fu, Zhumu, editor, and Fang, Bin, editor

Published
2024
Full Text
View/download PDF

11. Motion Languages for Robot Manipulation

Author

Liu, Chunfang, Cao, Xiaoyue, Xue, Ailin, Li, Xiaoli, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Sun, Fuchun, editor, Li, Jianmin, editor, Liu, Huaping, editor, and Chu, Zhongyi, editor

Published
2023
Full Text
View/download PDF

12. Human Intention Understanding and Trajectory Planning Based on Multi-modal Data

Author

Liu, Chunfang, Cao, Xiaoyue, Li, Xiaoli, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Sun, Fuchun, editor, Cangelosi, Angelo, editor, Zhang, Jianwei, editor, Yu, Yuanlong, editor, Liu, Huaping, editor, and Fang, Bin, editor

Published
2023
Full Text
View/download PDF

13. Automatic Packaging System Based on Machine Vision

Author

Liu, Chunfang, Fang, Jiali, Yu, Pan, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Sun, Fuchun, editor, Cangelosi, Angelo, editor, Zhang, Jianwei, editor, Yu, Yuanlong, editor, Liu, Huaping, editor, and Fang, Bin, editor

Published
2023
Full Text
View/download PDF

21. Induced sputum metabolomic profiles and oxidative stress are associated with chronic obstructive pulmonary disease (COPD) severity: potential use for predictive, preventive, and personalized medicine

Author

Zhu, Tao, Li, Shanqun, Wang, Jiajia, Liu, Chunfang, Gao, Lei, Zeng, Yuzhen, Mao, Ruolin, Cui, Bo, Ji, Hong, and Chen, Zhihong

Subjects
Medical Biochemistry and Metabolomics, Biomedical and Clinical Sciences, Lung, Chronic Obstructive Pulmonary Disease, 2.1 Biological and endogenous factors, Aetiology, Respiratory, Good Health and Well Being, Induced sputum, Chronic obstructive pulmonary disease, Lung function, Metabolomics, Glycerophospholipid metabolism pathway, Predictive preventive personalized medicine, Biomedical and clinical sciences, Health sciences
Abstract

Chronic obstructive pulmonary disease (COPD) is a highly heterogeneous disease, and metabolomics plays a hub role in predictive, preventive, and personalized medicine (PPPM) related to COPD. This study thus aimed to reveal the role of induced sputum metabolomics in predicting COPD severity. In this pilot study, a total of 20 COPD patients were included. The induced sputum metabolites were assayed using a liquid chromatography-mass spectrometry (LC-MS/MS) system. Five oxidative stress products (myeloperoxidase (MPO), superoxide dismutase (SOD), glutathione (GSH), neutrophil elastase (NE), and 8-iso-PGF2α) in induced sputum were measured by ELISA, and the metabolomic profiles were distinguished by principal component analysis (PCA) and orthogonal projections to latent structures discriminant analysis (OPLS-DA). The Kyoto Encyclopedia of Genes and Genomes (KEGG) was used for pathway enrichment analysis, and a significant difference in induced sputum metabolomics was observed between moderate and severe COPD. The KEGG analysis revealed that the glycerophospholipid metabolism pathway was downregulated in severe COPD. Due to the critical role of glycerophospholipid metabolism in oxidative stress, significant negative correlations were discovered between glycerophospholipid metabolites and three oxidative stress products (SOD, MPO, and 8-iso-PGF2α). The diagnostic values of SOD, MPO, and 8-iso-PGF2α in induced sputum were found to exhibit high sensitivities and specificities in the prediction of COPD severity. Collectively, this study provides the first identification of the association between induced sputum metabolomic profiles and COPD severity, indicating the potential value of metabolomics in PPPM for COPD management. The study also reveals the correlation between glycerophospholipid metabolites and oxidative stress products and their value for predicting COPD severity.Supplementary informationThe online version contains supplementary material available at 10.1007/s13167-020-00227-w.

Published
2020

22. Adoptive transfer of bone marrow-derived dendritic cells (BMDCs) alleviates OVA-induced allergic airway inflammation in asthmatic mice.

Author

Xu, Kan, Wu, Nan, Min, Zhihui, Li, Zheng, Zhu, Tao, Liu, Chunfang, Zeng, Yuzhen, Song, Juan, Mao, Ruolin, Ji, Hong, Jiang, Zhilong, and Chen, Zhihong

Subjects
Lung, Dendritic Cells, T-Lymphocytes, Bone Marrow Cells, Animals, Mice, Inbred BALB C, Mice, Knockout, Mice, Asthma, Hypersensitivity, Inflammation, Lipopolysaccharides, Ovalbumin, Cytokines, Lymphocyte Culture Test, Mixed, Adoptive Transfer, Injections, Intraperitoneal, Signal Transduction, Cell Proliferation, Cell Movement, Chemotaxis, STAT Transcription Factors, Suppressor of Cytokine Signaling 3 Protein
Abstract

Airway dendritic cells (DCs) are recognized as important factors in the mechanisms of allergic inflammatory diseases. Suppressor of cytokine signaling 3 (SOCS3) is involved in regulating the functions of T cells and macrophages, but the roles of SOCS3-expressing DCs in the pathogeneses of allergic inflammatory diseases are still controversial. We compared the effects of adoptively transferred SOCS3-/- and SOCS3+/+ bone marrow-derived DCs (BMDCs) on airway inflammation in ovalbumin (OVA)-sensitized asthmatic mice. Adoptive transfer of mature DCs (lipopolysaccharide [LPS]-induced DCs, DClps) with or without SOCS3 gene expression significantly ameliorated allergic airway inflammation. SOCS3-/- DCs slightly attenuated BMDC-induced immunogenic tolerance. DClps migrated to OVA-sensitized lungs with higher efficiency than immature DCs (DCim). DClps with or without SOCS3 greatly improved lung pathology scores and alleviated airway inflammatory cell infiltration after adoptive transfer into mice; they also increased interleukin-10 (IL-10) and transforming growth factor-β (TGF-β) production and inhibited signal transducer and activator of transcription (STAT) 4 and STAT6 signaling in the lungs after OVA sensitization. In conclusion, the BMDC adoptive transfer-induced immunogenic tolerance in OVA-sensitized mice might not be due to SOCS3 gene depletion. BMDC adoptive transfer may be developed into a new approach that alleviates asthma by modulating the balance between immune tolerance and inflammation.

Published
2020

23. Functional Primitive Library and Movement Sequence Reasoning Algorithm

Author

Xue, Ailin, Li, Xiaoli, Liu, Chunfang, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Sun, Fuchun, editor, Hu, Dewen, editor, Wermter, Stefan, editor, Yang, Lei, editor, Liu, Huaping, editor, and Fang, Bin, editor

Published
2022
Full Text
View/download PDF

26. Spatial and Spectral Features Fusion for EEG Classification during Motor Imagery in BCI

Author

Tan, Chuanqi, Sun, Fuchun, Zhang, Wenchang, Liu, Shaobo, and Liu, Chunfang

Subjects
Quantitative Biology - Quantitative Methods, Electrical Engineering and Systems Science - Signal Processing
Abstract

Brain computer interface (BCI) is the only way for some special patients to communicate with the outside world and provide a direct control channel between brain and the external devices. As a non-invasive interface, the scalp electroencephalography (EEG) has a significant potential to be a major input signal for future BCI systems. Traditional methods only focus on a particular feature in the EEG signal, which limits the practical applications of EEG-based BCI. In this paper, we propose a algorithm for EEG classification with the ability to fuse multiple features. First, use the common spatial pattern (CSP) as the spatial feature and use wavelet coefficient as the spectral feature. Second, fuse these features with a fusion algorithm in orchestrate way to improve the accuracy of classification. Our algorithms are applied to the dataset IVa from BCI complete \uppercase\expandafter{\romannumeral3}. By analyzing the experimental results, it is possible to conclude that we can speculate that our algorithm perform better than traditional methods., Comment: International Conference on Biomedical and Health Informatics (BHI 2017)

Published
2018

27. A Survey on Deep Transfer Learning

Author

Tan, Chuanqi, Sun, Fuchun, Kong, Tao, Zhang, Wenchang, Yang, Chao, and Liu, Chunfang

Subjects
Computer Science - Machine Learning, Statistics - Machine Learning
Abstract

As a new classification platform, deep learning has recently received increasing attention from researchers and has been successfully applied to many domains. In some domains, like bioinformatics and robotics, it is very difficult to construct a large-scale well-annotated dataset due to the expense of data acquisition and costly annotation, which limits its development. Transfer learning relaxes the hypothesis that the training data must be independent and identically distributed (i.i.d.) with the test data, which motivates us to use transfer learning to solve the problem of insufficient training data. This survey focuses on reviewing the current researches of transfer learning by using deep neural network and its applications. We defined deep transfer learning, category and review the recent research works based on the techniques used in deep transfer learning., Comment: The 27th International Conference on Artificial Neural Networks (ICANN 2018)

Published
2018

28. Multimodal Classification with Deep Convolutional-Recurrent Neural Networks for Electroencephalography

Author

Tan, Chuanqi, Sun, Fuchun, Zhang, Wenchang, Chen, Jianhua, and Liu, Chunfang

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Electroencephalography (EEG) has become the most significant input signal for brain computer interface (BCI) based systems. However, it is very difficult to obtain satisfactory classification accuracy due to traditional methods can not fully exploit multimodal information. Herein, we propose a novel approach to modeling cognitive events from EEG data by reducing it to a video classification problem, which is designed to preserve the multimodal information of EEG. In addition, optical flow is introduced to represent the variant information of EEG. We train a deep neural network (DNN) with convolutional neural network (CNN) and recurrent neural network (RNN) for the EEG classification task by using EEG video and optical flow. The experiments demonstrate that our approach has many advantages, such as more robustness and more accuracy in EEG classification tasks. According to our approach, we designed a mixed BCI-based rehabilitation support system to help stroke patients perform some basic operations., Comment: 10 pages, 6 figures

Published
2018

35. Wearable Sensors

Author

Fang, Bin, Sun, Fuchun, Liu, Huaping, Liu, Chunfang, Guo, Di, Fang, Bin, Sun, Fuchun, Liu, Huaping, Liu, Chunfang, and Guo, Di

Published
2020
Full Text
View/download PDF

36. Introduction

Author

Fang, Bin, Sun, Fuchun, Liu, Huaping, Liu, Chunfang, Guo, Di, Fang, Bin, Sun, Fuchun, Liu, Huaping, Liu, Chunfang, and Guo, Di

Published
2020
Full Text
View/download PDF

39. The New Theory of Learning in the Era of Educational Information 2.0—Connected Constructivism

Author

Wang, Yazi, Liu, Chunfang, Zhao, Yanze, Huang, Weiyuan, You, Bizhen, Lin, Jinjiao, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Gao, Wanling, editor, Hwang, Kai, editor, Wang, Changyun, editor, Li, Weiping, editor, Qiu, Zhigang, editor, Wang, Lei, editor, Zhou, Aoying, editor, Qian, Weining, editor, Jin, Cheqing, editor, and Zhang, Zhifei, editor

Published
2021
Full Text
View/download PDF

40. Entity Coreference Resolution for Syllabus via Graph Neural Network

Author

Lin, JinJiao, Zhao, Yanze, Liu, Chunfang, Gao, Tianqi, Lian, Jian, Pu, Haitao, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Gao, Wanling, editor, Hwang, Kai, editor, Wang, Changyun, editor, Li, Weiping, editor, Qiu, Zhigang, editor, Wang, Lei, editor, Zhou, Aoying, editor, Qian, Weining, editor, Jin, Cheqing, editor, and Zhang, Zhifei, editor

Published
2021
Full Text
View/download PDF

41. Micro-video Learning Resource Portrait and Its Application

Author

Lin, Jinjiao, Zhao, Yanze, Gao, Tianqi, Liu, Chunfang, Pu, Haitao, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Zu, Qiaohong, editor, Tang, Yong, editor, and Mladenović, Vladimir, editor

Published
2021
Full Text
View/download PDF

45. Video Knowledge Discovery Based on Convolutional Neural Network

Author

Lin, JinJiao, Liu, ChunFang, Cui, LiZhen, Huang, WeiYuan, Song, Rui, Zhao, YanZe, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin (Sherman), Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Zhang, Xuyun, editor, Liu, Guanfeng, editor, Qiu, Meikang, editor, Xiang, Wei, editor, and Huang, Tao, editor

Published
2020
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results