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580 results on '"Chai, Rui"'

1. MIPI 2024 Challenge on Few-shot RAW Image Denoising: Methods and Results

Author

Jin, Xin, Guo, Chunle, Li, Xiaoming, Yue, Zongsheng, Li, Chongyi, Zhou, Shangchen, Feng, Ruicheng, Dai, Yuekun, Yang, Peiqing, Loy, Chen Change, Li, Ruoqi, Liu, Chang, Wang, Ziyi, Du, Yao, Yang, Jingjing, Bao, Long, Sun, Heng, Kong, Xiangyu, Xing, Xiaoxia, Wu, Jinlong, Xue, Yuanyang, Park, Hyunhee, Song, Sejun, Kim, Changho, Tan, Jingfan, Luo, Wenhan, Liu, Zikun, Qiao, Mingde, Jiang, Junjun, Jiang, Kui, Xiao, Yao, Sun, Chuyang, Hu, Jinhui, Ruan, Weijian, Dong, Yubo, Chen, Kai, Jo, Hyejeong, Qin, Jiahao, Han, Bingjie, Qin, Pinle, Chai, Rui, and Wang, Pengyuan

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

The increasing demand for computational photography and imaging on mobile platforms has led to the widespread development and integration of advanced image sensors with novel algorithms in camera systems. However, the scarcity of high-quality data for research and the rare opportunity for in-depth exchange of views from industry and academia constrain the development of mobile intelligent photography and imaging (MIPI). Building on the achievements of the previous MIPI Workshops held at ECCV 2022 and CVPR 2023, we introduce our third MIPI challenge including three tracks focusing on novel image sensors and imaging algorithms. In this paper, we summarize and review the Few-shot RAW Image Denoising track on MIPI 2024. In total, 165 participants were successfully registered, and 7 teams submitted results in the final testing phase. The developed solutions in this challenge achieved state-of-the-art erformance on Few-shot RAW Image Denoising. More details of this challenge and the link to the dataset can be found at https://mipichallenge.org/MIPI2024., Comment: CVPR 2024 Mobile Intelligent Photography and Imaging (MIPI) Workshop--Few-shot RAWImage Denoising Challenge Report. Website: https://mipi-challenge.org/MIPI2024/

Published
2024

3. EdgeFusion: Infrared and Visible Image Fusion Algorithm in Low Light

Author

Song, Zikun, Qin, Pinle, Zeng, Jianchao, Zhai, Shuangjiao, Chai, Rui, Yan, Junyi, Goos, Gerhard, Founding 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, Liu, Qingshan, editor, Wang, Hanzi, editor, Ma, Zhanyu, editor, Zheng, Weishi, editor, Zha, Hongbin, editor, Chen, Xilin, editor, Wang, Liang, editor, and Ji, Rongrong, editor

Published
2024
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18. MET fusions and splicing variants convergently define a subgroup of glioma sensitive to MET inhibitors

Author

Zhang, Ke-Nan, Zhao, Zheng, Chen, Jing, Bao, Zhaoshi, Chai, Rui-Chao, Sun, Zhiyan, Wu, Lingxiang, Wang, Zhiliang, Liu, Hanjie, Mu, Quanhua, Hu, Huimin, Zeng, Fan, Wang, Zheng, Li, Guanzhang, Chang, Yuanhao, Wang, Qiangwei, Wu, Fan, Zhang, Ying, Liu, Yuqing, Jiang, Chunjie, Kahlert, Ulf Dietrich, Nam, Do-Hyun, Zhang, Wei, Kang, Chunsheng, Wang, Jiguang, Tao, Rongjie, Wang, Qianghu, and Jiang, Tao

Published
2022
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24. Improving Approximate Bayesian Computation with Pre-judgment Rule

Author

Wang, Yanbo, Yu, Xiaoqing, Qin, Pinle, Chai, Rui, Qiao, Gangzhu, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Zeng, Jianchao, editor, Jing, Weipeng, editor, Song, Xianhua, editor, and Lu, Zeguang, editor

Published
2020
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26. Development of carbon based composites for filtering elements used on bilge's oily water treatment units

Author

Chen Hao, Zheng Qing-rong, Wu Meng-bo, Chai Rui, Zhuang Da-xiang, Shi Jia-xin, and Li Ling-ping

Subjects
Adsorption, Oily water, Bilge, Ship, Carbon based adsorbent, Technology
Abstract

Due to complicated ingredients contained within bilge's oily water on board ships, efficient separations as per the relevant standard cannot be easily handled while considering the cost and performance of the filter elements currently used. In this research, activated carbon and expanded natural graphite (ENG) were employed to synthesize the composite adsorbent for adsorption of the emulsified oil. Orthogonal experiments were designed to determine the processing parameters for synthesizing activated carbon from potassium hydrate and phenolic resin, composite adsorbents were prepared by mixing ENG with different mass ratios and densified to a density comparable to that of the commercially available filtering material. Comparisons between the composite and filtering materials were made in terms of structure, morphology, adsorption equilibrium as well as the strength and stability under typical loads and impacts. It showed that the activated carbon sample prepared by the impregnation ratio, heating temperature and heating duration respectively about 4:1, 650 °C and 2 h had a better adsorptive performance. It also revealed that, within 298.15 K–308.15 K, in comparing with those on the commercially available filtering material, the AE-10 sample prepared by mixing 10 wt% ENG and densified to 0.03 g cm−3 had 270% increment in adsorption amount of the emulsified oil and one seventh deformation in size as well as one tenth mass loss in weight, respectively. It suggests that the composite formed by ENG and the activated carbon sample having larger specific mesopore volume and surface area are promising for the treatment of onboard oily water.

Published
2022
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41. MET fusions and splicing variants is a strong adverse prognostic factor in astrocytoma, isocitrate dehydrogenase mutant.

Author

Liu, Lingyu, Zhang, Ke‐Nan, Zhao, Zheng, Li, Guanzhang, Chai, Rui‐Chao, Li, Zhuoqun, Liu, Xing, Chen, Jing, and Jiang, Tao

Subjects
ISOCITRATE dehydrogenase, RNA splicing, ASTROCYTOMAS, PROGNOSIS, CENTRAL nervous system tumors, MET receptor
Abstract

A study published in the journal Brain Pathology by Liu et al. explores the adverse prognostic role of MET fusions and splicing variants in astrocytoma, specifically those with isocitrate dehydrogenase (IDH) mutation. The researchers suggest that MET fusions and splicing variants could serve as a biomarker for the diagnosis of high-grade astrocytoma. The study analyzes a large cohort of IDH-mutant astrocytomas and confirms the association between MET fusions and splicing variants and poor survival outcomes. The findings highlight the need for additional molecular prognostic biomarkers to complement the current grading system for astrocytomas. [Extracted from the article]

Published
2024
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44. Supplementary Data from Natural Coevolution of Tumor and Immunoenvironment in Glioblastoma

Author

Wu, Lingxiang, primary, Wu, Wei, primary, Zhang, Junxia, primary, Zhao, Zheng, primary, Li, Liangyu, primary, Zhu, Mengyan, primary, Wu, Min, primary, Wu, Fan, primary, Zhou, Fengqi, primary, Du, Yuxin, primary, Chai, Rui-Chao, primary, Zhang, Wei, primary, Qiu, Xiaoguang, primary, Liu, Quanzhong, primary, Wang, Ziyu, primary, Li, Jie, primary, Li, Kening, primary, Chen, Apeng, primary, Jiang, Yinan, primary, Xiao, Xiangwei, primary, Zou, Han, primary, Srivastava, Rashmi, primary, Zhang, Tingting, primary, Cai, Yun, primary, Liang, Yuan, primary, Huang, Bin, primary, Zhang, Ruohan, primary, Lin, Fan, primary, Hu, Lang, primary, Wang, Xiuxing, primary, Qian, Xu, primary, Lv, Sali, primary, Hu, Baoli, primary, Zheng, Siyuan, primary, Hu, Zhibin, primary, Shen, Hongbing, primary, You, Yongping, primary, Verhaak, Roel G.W., primary, Jiang, Tao, primary, and Wang, Qianghu, primary

Published
2023
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45. Supplementary Table from Natural Coevolution of Tumor and Immunoenvironment in Glioblastoma

Author

Wu, Lingxiang, primary, Wu, Wei, primary, Zhang, Junxia, primary, Zhao, Zheng, primary, Li, Liangyu, primary, Zhu, Mengyan, primary, Wu, Min, primary, Wu, Fan, primary, Zhou, Fengqi, primary, Du, Yuxin, primary, Chai, Rui-Chao, primary, Zhang, Wei, primary, Qiu, Xiaoguang, primary, Liu, Quanzhong, primary, Wang, Ziyu, primary, Li, Jie, primary, Li, Kening, primary, Chen, Apeng, primary, Jiang, Yinan, primary, Xiao, Xiangwei, primary, Zou, Han, primary, Srivastava, Rashmi, primary, Zhang, Tingting, primary, Cai, Yun, primary, Liang, Yuan, primary, Huang, Bin, primary, Zhang, Ruohan, primary, Lin, Fan, primary, Hu, Lang, primary, Wang, Xiuxing, primary, Qian, Xu, primary, Lv, Sali, primary, Hu, Baoli, primary, Zheng, Siyuan, primary, Hu, Zhibin, primary, Shen, Hongbing, primary, You, Yongping, primary, Verhaak, Roel G.W., primary, Jiang, Tao, primary, and Wang, Qianghu, primary

Published
2023
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46. Data from Natural Coevolution of Tumor and Immunoenvironment in Glioblastoma

Author

Wu, Lingxiang, primary, Wu, Wei, primary, Zhang, Junxia, primary, Zhao, Zheng, primary, Li, Liangyu, primary, Zhu, Mengyan, primary, Wu, Min, primary, Wu, Fan, primary, Zhou, Fengqi, primary, Du, Yuxin, primary, Chai, Rui-Chao, primary, Zhang, Wei, primary, Qiu, Xiaoguang, primary, Liu, Quanzhong, primary, Wang, Ziyu, primary, Li, Jie, primary, Li, Kening, primary, Chen, Apeng, primary, Jiang, Yinan, primary, Xiao, Xiangwei, primary, Zou, Han, primary, Srivastava, Rashmi, primary, Zhang, Tingting, primary, Cai, Yun, primary, Liang, Yuan, primary, Huang, Bin, primary, Zhang, Ruohan, primary, Lin, Fan, primary, Hu, Lang, primary, Wang, Xiuxing, primary, Qian, Xu, primary, Lv, Sali, primary, Hu, Baoli, primary, Zheng, Siyuan, primary, Hu, Zhibin, primary, Shen, Hongbing, primary, You, Yongping, primary, Verhaak, Roel G.W., primary, Jiang, Tao, primary, and Wang, Qianghu, primary

Published
2023
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47. Supplementary Figure from Natural Coevolution of Tumor and Immunoenvironment in Glioblastoma

Author

Wu, Lingxiang, primary, Wu, Wei, primary, Zhang, Junxia, primary, Zhao, Zheng, primary, Li, Liangyu, primary, Zhu, Mengyan, primary, Wu, Min, primary, Wu, Fan, primary, Zhou, Fengqi, primary, Du, Yuxin, primary, Chai, Rui-Chao, primary, Zhang, Wei, primary, Qiu, Xiaoguang, primary, Liu, Quanzhong, primary, Wang, Ziyu, primary, Li, Jie, primary, Li, Kening, primary, Chen, Apeng, primary, Jiang, Yinan, primary, Xiao, Xiangwei, primary, Zou, Han, primary, Srivastava, Rashmi, primary, Zhang, Tingting, primary, Cai, Yun, primary, Liang, Yuan, primary, Huang, Bin, primary, Zhang, Ruohan, primary, Lin, Fan, primary, Hu, Lang, primary, Wang, Xiuxing, primary, Qian, Xu, primary, Lv, Sali, primary, Hu, Baoli, primary, Zheng, Siyuan, primary, Hu, Zhibin, primary, Shen, Hongbing, primary, You, Yongping, primary, Verhaak, Roel G.W., primary, Jiang, Tao, primary, and Wang, Qianghu, primary

Published
2023
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50. Laser-rewritable room temperature phosphorescence based on in-situpolymerized tartaric acid

Author

Zhou, Tuo-Yu, Li, Tai-Wen, Zhang, Hai-Fu, Chai, Rui-Lin, Zhao, Qian, Zhang, Penglin, Li, Guang-Yue, Wang, Qian-Wen, Li, Chang, Shu, Yu, Fan, Zhi, and Li, Sheng-Hua

Abstract

Organic room temperature phosphorescence (RTP) materials have potential applications in information technology and bioimaging. However, the precise control of the afterglow in reversible manners remains challenging for organic matters. Here, we report a kind of organic RTP material fabricated by simple heating mixtures of tartaric acid (TA) and aromatic acids, which can switch their phosphorescence by laser. Those mixtures show tunable phosphorescence from indigo to orange with phosphorescence efficiency of up to 53.99% due to locking different organic luminogens by the TA-formed matrix through the non-covalent interactions. The afterglow of those materials lasts a few seconds and disappears by water fumigation, which can be repeated in response to wet/heat stimuli. With drop-casting those materials on glass slides, a laser-repatternable phosphorescence is achieved by facile laser direct writing and quenched by water cyclically. Those results open the opportunity for the design of smart stimuli-responsive phosphorescence materials from sustainable natural products.

Published
2024
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