Search

Your search keyword '"Xu, Jingwen"' showing total 1,461 results
Start Over Author "Xu, Jingwen"
1,461 results on '"Xu, Jingwen"'

1. NTIRE 2024 Quality Assessment of AI-Generated Content Challenge

Author

Liu, Xiaohong, Min, Xiongkuo, Zhai, Guangtao, Li, Chunyi, Kou, Tengchuan, Sun, Wei, Wu, Haoning, Gao, Yixuan, Cao, Yuqin, Zhang, Zicheng, Wu, Xiele, Timofte, Radu, Peng, Fei, Fu, Huiyuan, Ming, Anlong, Wang, Chuanming, Ma, Huadong, He, Shuai, Dou, Zifei, Chen, Shu, Zhang, Huacong, Xie, Haiyi, Wang, Chengwei, Chen, Baoying, Zeng, Jishen, Yang, Jianquan, Wang, Weigang, Fang, Xi, Lv, Xiaoxin, Yan, Jun, Zhi, Tianwu, Zhang, Yabin, Li, Yaohui, Li, Yang, Xu, Jingwen, Liu, Jianzhao, Liao, Yiting, Li, Junlin, Yu, Zihao, Lu, Yiting, Li, Xin, Motamednia, Hossein, Hosseini-Benvidi, S. Farhad, Guan, Fengbin, Mahmoudi-Aznaveh, Ahmad, Mansouri, Azadeh, Gankhuyag, Ganzorig, Yoon, Kihwan, Xu, Yifang, Fan, Haotian, Kong, Fangyuan, Zhao, Shiling, Dong, Weifeng, Yin, Haibing, Zhu, Li, Wang, Zhiling, Huang, Bingchen, Saha, Avinab, Mishra, Sandeep, Gupta, Shashank, Sureddi, Rajesh, Saha, Oindrila, Celona, Luigi, Bianco, Simone, Napoletano, Paolo, Schettini, Raimondo, Yang, Junfeng, Fu, Jing, Zhang, Wei, Cao, Wenzhi, Liu, Limei, Peng, Han, Yuan, Weijun, Li, Zhan, Cheng, Yihang, Deng, Yifan, Li, Haohui, Qu, Bowen, Li, Yao, Luo, Shuqing, Wang, Shunzhou, Gao, Wei, Lu, Zihao, Conde, Marcos V., Wang, Xinrui, Chen, Zhibo, Liao, Ruling, Ye, Yan, Wang, Qiulin, Li, Bing, Zhou, Zhaokun, Geng, Miao, Chen, Rui, Tao, Xin, Liang, Xiaoyu, Sun, Shangkun, Ma, Xingyuan, Li, Jiaze, Yang, Mengduo, Xu, Haoran, Zhou, Jie, Zhu, Shiding, Yu, Bohan, Chen, Pengfei, Xu, Xinrui, Shen, Jiabin, Duan, Zhichao, Asadi, Erfan, Liu, Jiahe, Yan, Qi, Qu, Youran, Zeng, Xiaohui, Wang, Lele, and Liao, Renjie

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

This paper reports on the NTIRE 2024 Quality Assessment of AI-Generated Content Challenge, which will be held in conjunction with the New Trends in Image Restoration and Enhancement Workshop (NTIRE) at CVPR 2024. This challenge is to address a major challenge in the field of image and video processing, namely, Image Quality Assessment (IQA) and Video Quality Assessment (VQA) for AI-Generated Content (AIGC). The challenge is divided into the image track and the video track. The image track uses the AIGIQA-20K, which contains 20,000 AI-Generated Images (AIGIs) generated by 15 popular generative models. The image track has a total of 318 registered participants. A total of 1,646 submissions are received in the development phase, and 221 submissions are received in the test phase. Finally, 16 participating teams submitted their models and fact sheets. The video track uses the T2VQA-DB, which contains 10,000 AI-Generated Videos (AIGVs) generated by 9 popular Text-to-Video (T2V) models. A total of 196 participants have registered in the video track. A total of 991 submissions are received in the development phase, and 185 submissions are received in the test phase. Finally, 12 participating teams submitted their models and fact sheets. Some methods have achieved better results than baseline methods, and the winning methods in both tracks have demonstrated superior prediction performance on AIGC.

Published
2024

8. Preliminaries

Author

Xiao, Bing, Chen, Zhaoyue, Xu, Jingwen, Cao, Lu, Xiao, Bing, Chen, Zhaoyue, Xu, Jingwen, and Cao, Lu

Published
2024
Full Text
View/download PDF

15. Overview

Author

Xiao, Bing, Chen, Zhaoyue, Xu, Jingwen, Cao, Lu, Xiao, Bing, Chen, Zhaoyue, Xu, Jingwen, and Cao, Lu

Published
2024
Full Text
View/download PDF

21. Semantic Graph Neural Network with Multi-measure Learning for Semi-supervised Classification

Author

Lin, Junchao, Wan, Yuan, Xu, Jingwen, and Qi, Xingchen

Subjects
Computer Science - Machine Learning
Abstract

Graph Neural Networks (GNNs) have attracted increasing attention in recent years and have achieved excellent performance in semi-supervised node classification tasks. The success of most GNNs relies on one fundamental assumption, i.e., the original graph structure data is available. However, recent studies have shown that GNNs are vulnerable to the complex underlying structure of the graph, making it necessary to learn comprehensive and robust graph structures for downstream tasks, rather than relying only on the raw graph structure. In light of this, we seek to learn optimal graph structures for downstream tasks and propose a novel framework for semi-supervised classification. Specifically, based on the structural context information of graph and node representations, we encode the complex interactions in semantics and generate semantic graphs to preserve the global structure. Moreover, we develop a novel multi-measure attention layer to optimize the similarity rather than prescribing it a priori, so that the similarity can be adaptively evaluated by integrating measures. These graphs are fused and optimized together with GNN towards semi-supervised classification objective. Extensive experiments and ablation studies on six real-world datasets clearly demonstrate the effectiveness of our proposed model and the contribution of each component.

Published
2022

22. Conclusion

Author

Xiao, Bing, Chen, Zhaoyue, Xu, Jingwen, Cao, Lu, Xiao, Bing, Chen, Zhaoyue, Xu, Jingwen, and Cao, Lu

Published
2024
Full Text
View/download PDF

23. A Method Combining Improved Particle Swarm Optimization and Lyapunov Optimization for Electric Vehicle Charging Scheduling

Author

Xu, Jingwen, Chen, Fei, Zhu, Jiawei, Lei, Weidong, An, Yisheng, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Huang, De-Shuang, editor, Zhang, Xiankun, editor, and Chen, Wei, editor

Published
2024
Full Text
View/download PDF

24. Design and Development on an Accessible Community Website of Online Learning and Communication for the Disabled

Author

Xu, Jingwen, Chen, Hao, Ye, Qisheng, Jiang, Ting, Zhu, Xiaoxiao, Jiang, Xianwei, 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, Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Wang, Bing, editor, Hu, Zuojin, editor, Jiang, Xianwei, editor, and Zhang, Yu-Dong, editor

Published
2024
Full Text
View/download PDF

25. An Optimized Eight-Layer Convolutional Neural Network Based on Blocks for Chinese Fingerspelling Sign Language Recognition

Author

Chu, Huiwen, Jiang, Chenlei, Xu, Jingwen, Ye, Qisheng, Jiang, Xianwei, 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, Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Wang, Bing, editor, Hu, Zuojin, editor, Jiang, Xianwei, editor, and Zhang, Yu-Dong, editor

Published
2024
Full Text
View/download PDF

29. Effect of mindfulness-based therapy on postoperative cognitive function and sleep quality in elderly patients after surgery under local anesthesia

Author

Xu Jingwen, Li Zuowei, Lan Lin, Wang Fan, Liu Yang, and Zhang Fei

Subjects
postoperative cognitive dysfunction, mindfulness-based therapy, sleep quality, elderly people, Psychology, BF1-990, Psychiatry, RC435-571
Abstract

BackgroundPostoperative cognitive dysfunction （POCD） is a common complication in elderly patients after surgery， and has a great impact on postoperative rehabilitation of patients.ObjectiveTo explore the effect of mindfulness-based therapy on cognitive function and sleep quality in elderly patients after surgery under local anesthesia， so as to provide references for reducing their incidence risk of POCD and improving sleep quality.MethodsThe simple random sampling method was utilized to select 78 elderly patients who underwent surgery under local anesthesia in The Third Hospital of Mianyang from March 2022 to March 2023. Participants were assigned into study group and control group， each with 39 cases. All patients were subjected to conventional treatment and nursing interventions， and study group added mindfulness-based therapy on this basis. Mini-Mental State Examination （MMSE） was administered to patients on 1 day before surgery， and on the 1st， 3rd and 5th day after surgery. Pittsburgh Sleep Quality Index （PSQI） was employed on 1 day before surgery and on the 3rd day after surgery.ResultsMMSE scores revealed a significant time effect， group effect and time×group interaction effect （F=78.251， 197.071， 371.915， P

Published
2024
Full Text
View/download PDF

38. Mechanism of myocardial fibrosis regulation by IGF-1R in atrial fibrillation through the PI3K/Akt/FoxO3a pathway

Author

Zhang, Pei, Li, Huilin, Zhang, An, Wang, Xiao, Song, Qiyuan, Li, Zhan, Wang, Weizong, Xu, Jingwen, Hou, Yinglong, and Zhang, Yong

Subjects
Fibrosis -- Physiological aspects, Atrial fibrillation -- Health aspects, Insulin-like growth factor 1 -- Physiological aspects, Biological sciences
Abstract

A trial structural remodeling takes on a critical significance to the occurrence and maintenance of atrial fibrillation (AF). As revealed by recent data, insulin-like growth factor-1 receptor (IGF-1R) plays a certain role in tissue fibrosis. In this study, the mechanism of IGF-1R in atrial structural remodeling was examined based on in vivo and in vitro experiments. First, cluster analysis of AF hub genes was conducted, and then the molecular mechanism was proposed by which IGF-1R regulates myocardial fibrosis via the PI3K/Akt/FoxO3a pathway. Subsequently, the mentioned mechanism was verified in human cardiac fibroblasts (HCFs) and rats transduced with IGF-1 overexpression type 9 adeno-associated viruses. The results indicated that IGF-1R activation up-regulated collagen I protein expression and Akt phosphorylation in HCFs and rat atrium. The administration of LY294002 reversed the above phenomenon, improved the shortening of atrial effective refractory period, and reduced the increased incidence of AF and atrial fibrosis in rats. The transfection of FoxO3a siRNA reduced the anti-fibrotic effect of LY294002 in HCFs. The above data revealed that activation of IGF-1R takes on a vital significance to atrial structural remodeling by facilitating myocardial fibrosis and expediting the occurrence and maintenance of AF through the regulation of the PI3K/Akt/FoxO3a signaling pathway. Key words: atrial fibrillation, atrial structural remodeling, myocardial fibrosis, IGF-1R, PI3K/Akt/FoxO3a pathway, Introduction Atrial fibrillation (AF) refers to the most common rapid arrhythmia in the clinic and the incidence is increasing on a year-to-year basis (Khan et al. 2019). AF increases the [...]

Published
2023
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results