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86 results on '"Youliang Yan"'

1. Does corporate digitalization promote labor investment efficiency? Evidence from Chinese listed companies

Author

Youliang Yan, Maochuan Wang, and Jieji Lai

Subjects
History of scholarship and learning. The humanities, AZ20-999, Social Sciences
Abstract

Abstract This study examines whether and how corporate digitalization affects labor investment practices. Using a sample of Chinese listed companies from 2007 to 2023, we find that corporate digital development is positively associated with labor investment efficiency. Mechanism tests show that corporate digitalization can facilitate precise judgment of labor input scales, accelerate employment adjustment responsiveness, recruit high-quality potential workforce, and improve management oversight, thus contributing to making efficient labor investment decisions. Cross-sectional tests indicate that the positive impact of corporate digital development is more prominent for firms located in regions with stronger labor protection systems, industries with higher competition levels and those non-state-owned enterprises. Moreover, corporate digitalization can curb both over- and underinvestment in labor resources, and this effect is primarily manifested in firm’s hiring practices. Our findings contribute to the literature on the determinants of corporate labor investment efficiency and provide practice insight into the role of corporate digitalization in firm’s decision-making.

Published
2024
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2. Does corporate digitization affect shadow banking business? Evidence from Chinese listed companies

Author

Youliang Yan, Xinhao Qiu, and Xuefang Wang

Subjects
Corporate digitization, Shadow banking business, China, Science (General), Q1-390, Social sciences (General), H1-99
Abstract

How to govern non-financial enterprises engaged in shadow banking activities is of great practical significance. This study investigates whether and how corporate digitization affects shadow banking. Using a sample of Chinese listed companies for the period 2012–2022, we find that corporate digitization has a significant negative effect on shadow banking business. Mechanism tests show that corporate digitization is conducive to enhancing product core competencies, broadening market channels, and improving operational efficiency, thus inhibiting firms from engaging in shadow banking activities. Moreover, the negative impact of corporate digitization on corporate shadow banking is especially noticeable for non-state-owned companies and in areas where local governments have more stringent financial risk regulations. The findings contribute to enriching the literature on the determinants of corporate shadow banking business, and deepen our understanding of the economic consequences of corporate digitization.

Published
2024
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3. miR-4324 inhibits ovarian cancer progression by targeting FEN1

Author

Haixia Wu, Youliang Yan, Jialin Yuan, Mengze Luo, and Yingjian Wang

Subjects
miR-4324, FEN1, Ovarian cancer, Proliferation, Migration, Apoptosis, Gynecology and obstetrics, RG1-991
Abstract

Abstract Background Ovarian cancer is one of the most lethal malignancies, with a 1.9% mortality rate worldwide. The dysregulation of the FEN1 gene and miR-4324 has been associated with cancer progression. However, the relationship between miR-4324 and-FEN1 requires further investigation. Methods miR-4324 and FEN1 expressions in ovarian cancer tissues and cell lines were measured via RT-qPCR. The interaction between miR-4324 and FEN1 was assessed using luciferase and RNA pull-down assays. The effects of miR-4324 and FEN1 on cell proliferation, adhesion and apoptosis were determined by CCK-8, BrdU, colony formation, cell adhesion, Caspase-3 and western blot assays in ovarian cancer cell lines CaOV3 and OVCAR3, respectively. Results The results showed that miR-4324 expression was significantly decreased and FEN1 expression was enhanced in ovarian cancer tissues and cell lines. miR-4324 inhibitor promoted cell proliferation, adhesion and migration, and prevented apoptosis. Furthermore, the downregulation of FEN1 inhibited ovarian cancer cell growth and increased apoptosis. miR-4324 inhibited FEN1 expression and repressed ovarian cancer progression. Conclusion Our study found that miR-4324 inhibited FEN1 expression, suppressed cell growth, and increased apoptosis in ovarian cancer cells. Therefore, we identified miR-4324 and FEN1 as potential therapeutic targets for ovarian cancer treatment.

Published
2022
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4. Succession intention and environmental investment: The moderating role of social status

Author

Qi Zhang, Lei Xiong, Youliang Yan, Zengji Song, and Zezhou Wen

Subjects
environmental investment, family firms, management succession intention, ownership succession intention, social status, Psychology, BF1-990
Abstract

Drawing on expectancy theory, this study explains how founders’ succession intentions might influence family firms’ environmental environments. Using a nationally representative sample of Chinese private firms, we find that family firms make more environmental investments when founders have succession intentions. We also find that the relationship between founders’ succession intentions and family firms’ environmental investments is negatively moderated by the founders’ subjective social status. Moreover, the results show that, compared with ownership succession intentions, the positive role of founders’ management succession intentions on family firms’ environmental investments is more prominent. This study helps us to better understand the impact of succession intentions on family business decision-making from a psychological perspective. It enriches the research on succession intentions and provides practical implications for family firms’ sustainable development.

Published
2022
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5. Does Social Trust Stimulate Regional Eco-Efficiency? Evidence From China

Author

Youliang Yan, Jixin Cheng, Yunmin Wang, and Yating Li

Subjects
eco-efficiency, social trust, super-SBM DEA, global malmquist index, informal institution, Environmental sciences, GE1-350
Abstract

Ecological efficiency is an important part of economic sustainable development. As the transitional economy with “weak institution” features, the informal institutions have a vital role in China’s economic development. Using panel data from 2001 to 2016, this paper estimates eco-efficiency of China’s 30 provinces based on Super-SBM DEA with global Malmquist index and investigates the governance role of a typical informal institution, namely social trust, in regional eco-efficiency. Empirical results show the following: 1) From 2001 to 2016, the accumulated changes of regional eco-efficiency are all greater than 1, indicating that all provinces in China are actively changing its development mode to improve eco-efficiency. 2) Social trust plays a significantly positive role in improving regional eco-efficiency. 3) Moreover, this effect is more pronounced in regions with poor legal development. 4) The mechanism tests further show that social trust can improve regional eco-efficiency through promoting regional green innovation and developing regional finance. Our findings shed light on the implications of informal institutions, and in particular on the value of social trust in realizing green economic development in emerging market.

Published
2021
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14. Efficient Deep Models for Real-Time 4K Image Super-Resolution. NTIRE 2023 Benchmark and Report.

Author

Marcos V. Conde, Eduard Zamfir, Radu Timofte, Daniel Motilla, Cen Liu, Zexin Zhang, Yunbo Peng, Yue Lin 0002, Jiaming Guo, Xueyi Zou, Yuyi Chen, Yi Liu, Jia Hao, Youliang Yan, Yuanfan Zhang, Gen Li 0008, Lei Sun 0009, Lingshun Kong, Haoran Bai, Jinshan Pan, Jiangxin Dong, Jinhui Tang 0001, Mustafa Ayazoglu, Bahri Batuhan Bilecen, Mingxi Li, Yuhang Zhang, Xianjun Fan, Yankai Sheng, Long Sun, Zibin Liu, Weiran Gou, Shaoqing Li, Ziyao Yi, Yan Xiang, Dehui Kong, Ke Xu, Ganzorig Gankhuyag, Kihwan Yoon, Jin Zhang, Gaocheng Yu, Feng Zhang, Hongbin Wang, Zhou Zhou 0015, Jiahao Chao, Hongfan Gao, Jiali Gong, Zhengfeng Yang, Zhenbing Zeng, Chengpeng Chen, Zichao Guo, Anjin Park, Yuqing Liu, Qi Jia, Hongyuan Yu, Xuanwu Yin, Dongyang Zhang, Ting Fu, Zhengxue Cheng, Shiai Zhu, Dajiang Zhou, Weichen Yu, Lin Ge, Jiahua Dong, Yajun Zou, Zhuoyuan Wu, Binnan Han, Xiaolin Zhang, Heng Zhang, Ben Shao, Shaolong Zheng, Daheng Yin, Baijun Chen, Mengyang Liu, Marian-Sergiu Nistor, Yi-Chung Chen, Zhi-Kai Huang, Yuan-Chun Chiang, Wei-Ting Chen, Hao-Hsiang Yang, Hua-En Chang, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Tu Vo, Qingsen Yan, Yun Zhu, Jinqiu Su, Yanning Zhang, Cheng Zhang, Jiaying Luo, Youngsun Cho, Nakyung Lee, and Kunlong Zuo

Published
2023
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18. NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results.

Author

Yawei Li 0001, Yulun Zhang 0001, Radu Timofte, Luc Van Gool, Lei Yu, Youwei Li, Xinpeng Li, Ting Jiang, Qi Wu 0017, Mingyan Han, Wenjie Lin, Chengzhi Jiang, Jinting Luo, Haoqiang Fan, Shuaicheng Liu, Yucong Wang, Minjie Cai, Mingxi Li, Yuhang Zhang, Xianjun Fan, Yankai Sheng, Yanyu Mao, Nihao Zhang, Qian Wang, Mingjun Zheng, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang 0001, Zhongbao Yang, Yan Wang, Erlin Pan, Qixuan Cai, Xinan Dai, Magauiya Zhussip, Nikolay Kalyazin, Dmitry Vyal, Xueyi Zou, Youliang Yan, Heaseo Chung, Jin Zhang, Gaocheng Yu, Feng Zhang, Hongbin Wang, Bohao Liao, Zhibo Du, Yu-Liang Wu, Gege Shi, Long Peng, Yang Wang, Yang Cao, Zhengjun Zha, Zhi-Kai Huang, Yi-Chung Chen, Yuan-Chun Chiang, Hao-Hsiang Yang, Wei-Ting Chen, Hua-En Chang, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Xin Liu, Jiahao Pan, Hongyuan Yu, Weichen Yu, Lin Ge, Jiahua Dong, Yajun Zou, Zhuoyuan Wu, Binnan Han, Xiaolin Zhang, Heng Zhang, Xuanwu Yin, Kunlong Zuo, Weijian Deng, Hongjie Yuan, Zengtong Lu, Mingyu Ouyang, Wenzhuo Ma, Nian Liu, Hanyou Zheng, Yuantong Zhang, Junxi Zhang, Zhenzhong Chen, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He, Yurui Zhu, Xi Wang, Xueyang Fu, Zheng-Jun Zha, Daheng Yin, Mengyang Liu, Baijun Chen, Ao Li 0007, Lei Luo 0003, Kangjun Jin, Ce Zhu, Xiaoming Zhang 0008, Chengxing Xie, Linze Li 0001, Haiteng Meng, Tianlin Zhang, Tianrui Li 0001, Xiaole Zhao, Zhao Zhang 0001, Baiang Li, Huan Zheng, Suiyi Zhao, Yangcheng Gao, Jiahuan Ren, Kang Hu, Jingpeng Shi, Zhijian Wu, Dingjiang Huang, Jinchen Zhu, Hui Li, Qianru Xv, Tianle Liu, Gang Wu 0010, Junpeng Jiang, Xianming Liu, Junjun Jiang, Mingjian Zhang, Shizhuang Weng, Jing Hu 0009, Chengxu Wu, Qinrui Fan, Chengming Feng, Ziwei Luo, Shu Hu 0001, Siwei Lyu, Xi Wu 0004, and Xin Wang 0001

Published
2023
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19. NTIRE 2022 Burst Super-Resolution Challenge.

Author

Goutam Bhat, Martin Danelljan, Radu Timofte, Yizhen Cao, Yuntian Cao, Meiya Chen, Xihao Chen, Shen Cheng, Akshay Dudhane, Haoqiang Fan, Ruipeng Gang, Jian Gao 0008, Yan Gu, Jie Huang 0017, Liufeng Huang, Youngsu Jo, Sukju Kang, Salman Khan 0001, Fahad Shahbaz Khan, Yuki Kondo, Chenghua Li, Fangya Li, Jinjing Li, Youwei Li, Zechao Li, Chenming Liu, Shuaicheng Liu, Zikun Liu, Zhuoming Liu, Ziwei Luo, Zhengxiong Luo, Nancy Mehta, Subrahmanyam Murala, Yoonchan Nam, Chihiro Nakatani, Pavel Ostyakov, Jinshan Pan, Ge Song, Jian Sun 0001, Long Sun, Jinhui Tang 0001, Norimichi Ukita, Zhihong Wen, Qi Wu 0017, Xiaohe Wu, Zeyu Xiao, Zhiwei Xiong, Rongjian Xu, Ruikang Xu, Youliang Yan, Jialin Yang, Wentao Yang, Zhongbao Yang, Fuma Yasue, Mingde Yao, Lei Yu, Cong Zhang, Syed Waqas Zamir, Jianxing Zhang, Shuohao Zhang, Zhilu Zhang, Qian Zheng, Gaofeng Zhou, Magauiya Zhussip, Xueyi Zou, and Wangmeng Zuo

Published
2022
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20. NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results.

Author

Ren Yang, Radu Timofte, Meisong Zheng, Qunliang Xing, Minglang Qiao, Mai Xu, Lai Jiang, Huaida Liu, Ying Chen, Youcheng Ben, Xiao Zhou, Chen Fu, Pei Cheng, Gang Yu, Junyi Li, Renlong Wu, Zhilu Zhang, Wei Shang, Zhengyao Lv, Yunjin Chen, Mingcai Zhou, Dongwei Ren, Kai Zhang 0008, Wangmeng Zuo, Pavel Ostyakov, Dmitry Vyal, Shakarim Soltanayev, Chervontsev Sergey, Magauiya Zhussip, Xueyi Zou, Youliang Yan, Pablo Navarrete Michelini, Yunhua Lu, Diankai Zhang, Shaoli Liu, Si Gao, Biao Wu, Chengjian Zheng, Xiaofeng Zhang, Kaidi Lu, Ning Wang 0020, Thuong Nguyen Canh, Thong Bach, Qing Wang 0006, Xiaopeng Sun, Haoyu Ma, Shijie Zhao 0001, Junlin Li, Liangbin Xie, Shuwei Shi, Yujiu Yang, Xintao Wang, Jinjin Gu, Chao Dong 0005, Xiaodi Shi, Chunmei Nian, Dong Jiang, Jucai Lin, Zhihuai Xie, Mao Ye 0001, Dengyan Luo, Liuhan Peng, Shengjie Chen, Xin Liu, Qian Wang, Boyang Liang, Hang Dong 0001, Yuhao Huang, Kai Chen 0023, Xingbei Guo, Yujing Sun, Huilei Wu, Pengxu Wei, Yulin Huang, Junying Chen, Ik Hyun Lee, Sunder Ali Khowaja, and Jiseok Yoon

Published
2022
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24. AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results.

Author

Ren Yang, Radu Timofte, Xin Li 0106, Qi Zhang 0029, Lin Zhang 0013, Fanglong Liu, Dongliang He, Fu Li, He Zheng, Weihang Yuan, Pavel Ostyakov, Dmitry Vyal, Magauiya Zhussip, Xueyi Zou, Youliang Yan, Lei Li 0009, Jingzhu Tang, Ming Chen, Shijie Zhao 0001, Yu Zhu 0004, Xiaoran Qin, Chenghua Li, Cong Leng, Jian Cheng 0001, Claudio Rota, Marco Buzzelli, Simone Bianco 0001, Raimondo Schettini, Dafeng Zhang, Feiyu Huang, Shizhuo Liu, Xiaobing Wang, Zhezhu Jin, Bingchen Li, Mingxi Li, Ding Liu 0001, Wenbin Zou, Peijie Dong, Tian Ye 0001, Yunchen Zhang, Ming Tan, Xin Niu, Mustafa Ayazoglu, Marcos V. Conde, Ui-Jin Choi, Zhuang Jia, Tianyu Xu, Yijian Zhang, Mao Ye 0001, Dengyan Luo, Xiaofeng Pan, and Liuhan Peng

Published
2022
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32. NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results.

Author

Abdelrahman Abdelhamed, Mahmoud Afifi, Radu Timofte, Michael S. Brown, Yue Cao, Zhilu Zhang, Wangmeng Zuo, Xiaoling Zhang, Jiye Liu, Wendong Chen, Changyuan Wen, Meng Liu, Shuailin Lv, Yunchao Zhang, Zhihong Pan 0001, Baopu Li, Teng Xi, Yanwen Fan, Xiyu Yu, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Songhyun Yu, Bumjun Park, Jechang Jeong, Shuai Liu 0009, Ziyao Zong, Nan Nan, Chenghua Li, Zengli Yang, Long Bao, Shuangquan Wang, Dongwoon Bai, Jungwon Lee, Youngjung Kim, Kyeongha Rho, Changyeop Shin, Sungho Kim, Pengliang Tang, Yiyun Zhao, Yuqian Zhou, Yuchen Fan, Thomas S. Huang, Zhihao Li, Nisarg A. Shah, Wei Liu, Qiong Yan, Yuzhi Zhao, Marcin Mozejko, Tomasz Latkowski, Lukasz Treszczotko, Michal Szafraniuk, Krzysztof Trojanowski, Yanhong Wu, Pablo Navarrete Michelini, Fengshuo Hu, Yunhua Lu, Sujin Kim, Wonjin Kim, Jaayeon Lee, Jang-Hwan Choi 0001, Magauiya Zhussip, Azamat Khassenov, Jong Hyun Kim, Hwechul Cho, Priya Kansal, Sabari Nathan, Zhangyu Ye, Xiwen Lu, Yaqi Wu, Jiangxin Yang, Yanlong Cao, Siliang Tang, Yanpeng Cao, Matteo Maggioni, Ioannis Marras, Thomas Tanay, Gregory G. Slabaugh, Youliang Yan, Myungjoo Kang, Han-Soo Choi, Kyungmin Song, Shusong Xu, Xiaomu Lu, Tingniao Wang, Chunxia Lei, Bin Liu, Rajat Gupta, and Vineet Kumar 0005

Published
2020
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42. AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results

Author

Ren Yang, Radu Timofte, Xin Li, Qi Zhang, Lin Zhang, Fanglong Liu, Dongliang He, Fu Li, He Zheng, Weihang Yuan, Pavel Ostyakov, Dmitry Vyal, Magauiya Zhussip, Xueyi Zou, Youliang Yan, Lei Li, Jingzhu Tang, Ming Chen, Shijie Zhao, Yu Zhu, Xiaoran Qin, Chenghua Li, Cong Leng, Jian Cheng, Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini, Dafeng Zhang, Feiyu Huang, Shizhuo Liu, Xiaobing Wang, Zhezhu Jin, Bingchen Li, Mingxi Li, Ding Liu, Wenbin Zou, Peijie Dong, Tian Ye, Yunchen Zhang, Ming Tan, Xin Niu, Mustafa Ayazoglu, Marcos Conde, Ui-Jin Choi, Zhuang Jia, Tianyu Xu, Yijian Zhang, Mao Ye, Dengyan Luo, Xiaofeng Pan, Liuhan Peng, Karlinsky, L, Michaeli, T, Nishino, K, Yang, R, Timofte, R, Li, X, Zhang, Q, Zhang, L, Liu, F, He, D, Li, F, Zheng, H, Yuan, W, Ostyakov, P, Vyal, D, Zhussip, M, Zou, X, Yan, Y, Li, L, Tang, J, Chen, M, Zhao, S, Zhu, Y, Qin, X, Li, C, Leng, C, Cheng, J, Rota, C, Buzzelli, M, Bianco, S, Schettini, R, Zhang, D, Huang, F, Liu, S, Wang, X, Jin, Z, Li, B, Li, M, Liu, D, Zou, W, Dong, P, Ye, T, Zhang, Y, Tan, M, Niu, X, Ayazoglu, M, Conde, M, Choi, U, Jia, Z, Xu, T, Ye, M, Luo, D, Pan, X, and Peng, L

Subjects
Video compression, Image compression, Super-resolution
Abstract

This paper reviews the Challenge on Super-Resolution of Compressed Image and Video at AIM 2022. This challenge includes two tracks. Track 1 aims at the super-resolution of compressed image, and Track 2 targets the super-resolution of compressed video. In Track 1, we use the popular dataset DIV2K as the training, validation and test sets. In Track 2, we propose the LDV 3.0 dataset, which contains 365 videos, including the LDV 2.0 dataset (335 videos) and 30 additional videos. In this challenge, there are 12 teams and 2 teams that submitted the final results to Track 1 and Track 2, respectively. The proposed methods and solutions gauge the state-of-the-art of super-resolution on compressed image and video. The proposed LDV 3.0 dataset is available at https://github.com/RenYang-home/LDV_dataset. The homepage of this challenge is at https://github.com/RenYang-home/AIM22_CompressSR.

Published
2023

45. To be more philanthropic when joining the government-controlled business association? Evidence from Chinese private firms

Author

Youliang Yan and Xixiong Xu

Subjects
Value (ethics), Government, business.industry, Corporate governance, 05 social sciences, Accounting, General Business, Management and Accounting, Politics, 0502 economics and business, Survey data collection, 050207 economics, Marketization, business, China, 050203 business & management, Communism
Abstract

Purpose The purpose of this paper is to investigate whether and how affiliation with the government-controlled business association, namely, China Federation of Industry and Commerce (CFIC), affects corporate philanthropy in an emerging market. Design/methodology/approach Through an analysis of survey data gathered from Chinese private firms, this paper conducts multiple regressions to examine the impact of the CFIC membership on corporate philanthropy. Findings Empirical results show that the CFIC membership of private entrepreneurs is significantly positively associated with corporate philanthropy. Moreover, this study finds that the provincial marketization level and the firm Communist Party branch attenuate the positive association between CFIC membership and corporate philanthropy, indicating that the effect of CFIC on corporate philanthropy is more pronounced in regions with lower marketization level and firms without Communist Party branch. The findings are robust to various alternate measures of corporate philanthropy and remain valid after controlling for potential endogeneity. Practical implications Firms will be more active in corporate philanthropy to respond to the government’s governance appeal when they join the CFIC. This highlights the implications of political connections and in particular on the value of government-controlled business associations in the Chinese business world. Originality/value This study extends the literature on the determinants of corporate philanthropy and deepens the theoretical understanding of the governance role of business association with Chinese characteristics.

Published
2021

46. The role of communist party branch in employment protection: evidence from Chinese private firms

Author

Youliang Yan and Xixiong Xu

Subjects
Economics and Econometrics, 050208 finance, 05 social sciences, 050201 accounting, Accounting, 0502 economics and business, Survey data collection, Unemployment rate, Positive relationship, Demographic economics, Business, Finance, Communism, Labor union
Abstract

Using the survey data from Chinese private firms, this study investigates how the ruling Party affects firms’ treatment to their employees. We document a significant positive relationship between P...

Published
2021

47. Does Entrepreneur Invest More in Environmental Protection When Joining the Communist Party? Evidence from Chinese Private Firms

Author

Youliang Yan and Xixiong Xu

Subjects
050208 finance, Market economy, 0502 economics and business, 05 social sciences, Business, 050207 economics, Investment (macroeconomics), Nationwide survey, General Economics, Econometrics and Finance, Finance, Communism
Abstract

This study examines the role of affiliation with the ruling Communist Party in corporate environmental investment. Using a nationwide survey of Chinese private firms, we find that the Party members...

Published
2020

48. NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results

Author

Magauiya Zhussip, Julien Mairal, Ziwei Luo, Christian Micheloni, Haoqiang Fan, Sanghyeok Son, Jean Ponce, Rao Muhammad, Ziluan Liu, Kazutoshi Akita, Xuan Mo, Umer Youliang Yan, Pavel Ostyakov, Youwei Li, Martin Danelljan, Norimichi Ukita, Bruno Lecouat, Lei Yu, Xueyi Zou, Goutam Bhat, Radu Timofte, Shuaicheng Liu, Dae-Shik Kim, Jian Sun, Lanpeng Jia, Wooyeong Cho, Takahiro Maeda, and Takeru Oba

Subjects
FOS: Computer and information sciences, Noise measurement, business.industry, Computer science, Computer Vision and Pattern Recognition (cs.CV), Track (disk drive), Computer Science - Computer Vision and Pattern Recognition, Superresolution, Rgb image, Task (project management), Set (abstract data type), Pattern recognition (psychology), Computer vision, Mobile camera, Artificial intelligence, business
Abstract

This paper reviews the NTIRE2021 challenge on burst super-resolution. Given a RAW noisy burst as input, the task in the challenge was to generate a clean RGB image with 4 times higher resolution. The challenge contained two tracks; Track 1 evaluating on synthetically generated data, and Track 2 using real-world bursts from mobile camera. In the final testing phase, 6 teams submitted results using a diverse set of solutions. The top-performing methods set a new state-of-the-art for the burst super-resolution task., NTIRE 2021 Burst Super-Resolution challenge report

Published
2021

49. Real-Time Quantized Image Super-Resolution on Mobile NPUs, Mobile AI 2021 Challenge: Report

Author

Peirong Li, Andrey Ignatov, Yunbo Peng, Xueyi Zhou, Zexin Zhang, Maurizio Denna, Shiqi Xue, Yue Lin, Hao Jia, Kun Zeng, Abdel Younes, Zhihuang Liu, Zongcai Du, Mustafa Ayazoglu, Radu Timofte, Jie Liu, Shengpeng Wang, Yixin Chen, Xindong Zhang, Jiaming Guo, Andrew Lek, Youliang Yan, and Hui Zeng

Subjects
FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial neural network, business.industry, Computer science, Computer Vision and Pattern Recognition (cs.CV), Deep learning, Image and Video Processing (eess.IV), Real-time computing, Computer Science - Computer Vision and Pattern Recognition, Inference, Electrical Engineering and Systems Science - Image and Video Processing, Machine Learning (cs.LG), Task (project management), High fidelity, Home automation, FOS: Electrical engineering, electronic engineering, information engineering, Artificial intelligence, Enhanced Data Rates for GSM Evolution, business, Mobile device
Abstract

Image super-resolution is one of the most popular computer vision problems with many important applications to mobile devices. While many solutions have been proposed for this task, they are usually not optimized even for common smartphone AI hardware, not to mention more constrained smart TV platforms that are often supporting INT8 inference only. To address this problem, we introduce the first Mobile AI challenge, where the target is to develop an end-to-end deep learning-based image super-resolution solutions that can demonstrate a real-time performance on mobile or edge NPUs. For this, the participants were provided with the DIV2K dataset and trained quantized models to do an efficient 3X image upscaling. The runtime of all models was evaluated on the Synaptics VS680 Smart Home board with a dedicated NPU capable of accelerating quantized neural networks. The proposed solutions are fully compatible with all major mobile AI accelerators and are capable of reconstructing Full HD images under 40-60 ms while achieving high fidelity results. A detailed description of all models developed in the challenge is provided in this paper., Mobile AI 2021 Workshop and Challenges: https://ai-benchmark.com/workshops/mai/2021/

Published
2021

50. Effect of political connection on corporate environmental investment: evidence from Chinese private firms

Author

Youliang Yan and Xixiong Xu

Subjects
Economics and Econometrics, Politics, 050208 finance, Market economy, 0502 economics and business, 05 social sciences, Survey data collection, Business, 050207 economics, China, Investment (macroeconomics), Connection (mathematics)
Abstract

This paper investigates the effect of political connections on corporate environmental investment. Using the survey data gathered from Chinese private firms, we find that political connection is si...

Published
2019

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