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NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results
Conference paper
Li, Yawei, Zhang, Kai, Timofte, Radu, Van Gool, Luc, Kong, Fangyuan, Li, Mingxi, Liu, Songwei, Du, Zongcai, Liu, Ding, Zhou, Chenhui, Chen, Jingyi, Han, Qingrui, Li, Zheyuan, Liu, Yingqi, Chen, Xiangyu, Cai, Haoming, Qiao, Yu, Dong, Chao, Sun, Long, Pan, Jinshan, Zhu, Yi, Zong, Zhikai, Liu, Xiaoxiao, Hui, Zheng, Yang, Tao, Ren, Peiran, Xie, Xuansong, Hua, Xian Sheng, Wang, Yanbo, Ji, Xiaozhong, Lin, Chuming, Luo, Donghao, Tai, Ying, Wang, Chengjie, Zhang, Zhizhong, Xie, Yuan, Cheng, Shen, Luo, Ziwei, Yu, Lei, Wen, Zhihong, Wul, Qi, Li, Youwei, Fan, Haoqiang, Sun, Jian, Liu, Shuaicheng, Huang, Yuanfei, Jin, Meiguang, Huang, Hua, Liu, Jing, Zhang, Xinjian, Wang, Yan, Long, Lingshun, Kong, Lingshun, Li, Gen, Zhang, Yuanfan, Cao, Zuowei, Sun, Lei, Alexander, Panaetov, Wang, Yucong, Zhang, Shuhao, Zhang, Yuhao, Cai, Minjie, Wang, Li, Tian, Lu, Wang, Zheyuan, Ma, Hongbing, Liu, Jie, Chen, Chao, Cai, Yidong, Tang, Jie, Wu, Gangshan, Wang, Weiran, Huang, Shirui, Lu, Honglei, Liu, Huan, Wang, Keyan, Chen, Jun, Chen, Shi, Miao, Yuchun, Huang, Zimo, Zhang, Lefei, Ayazoglu, Mustafa, Xiong, Wei, Xiong, Chengyi, Wang, Fei, Li, Hao, Wen, Ruimian, Yang, Zhijing, Zou, Wenbin, Zheng, Weixin, Ye, Tian, Zhang, Yuncheng, Kong, Xiangzhen, Arora, Aditya, Zamir, Syed Waqas, Khan, Salman, Hayat, Munawar, Khan, Fahad Shahbaz, Gao, Dandan, Zhou, Dengwen, Ning, Qian, Tang, Jingzhu, Huang, Han, Wang, Yufei, Peng, Zhangheng, Li, Haobo, Guan, Wenxue, Gong, Shenghua, Li, Xin, Liu, Jun, Wang, Wanjun, Zhou, Dengwen, Zeng, Kun, Lin, Hanjiang, Chen, Xinyu, Fang, Jinsheng, Sinha, Abhishek Kumar, Moorthi, S. Manthira, Dhar, Debajyoti, Yang, Hao Hsiang, Huang, Zhi Kai, Chen, Wei Ting, Chang, Hua En, Kuo, Sy Yen, Tan, Wei, Chen, Hao, Narang, Pratik, Yinghua, Liu, Tianlin, Zhang, Xiaoming, Zhang, Meng, Dingxuan, Tian, Chunwei, Morshed, Mashrur M., Ahsan, Ahmad Omar. NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results[C], 2022, 1061-1101.
Authors:
Li, Yawei
;
Zhang, Kai
;
Timofte, Radu
;
Van Gool, Luc
;
Kong, Fangyuan
; et al.
Favorite
|
TC[WOS]:
21
TC[Scopus]:
72
|
Submit date:2023/01/30
Measurement
Runtime
Convolution
Conferences
Superresolution
Memory Management
Graphics Processing Units
Genetic risk of extranodal natural killer T-cell lymphoma: a genome-wide association study in multiple populations
Journal article
Lin G.-W., Xu C., Chen K., Huang H.-Q., Chen J., Song B., Chan J.K.C., Li W., Liu W., Shih L.-Y., Chuang W.-Y., Kim W.S., Tan W., Peng R.-J., Laurensia Y., Cheah D.M.Z., Huang D., Cheng C.L., Su Y.-J., Tan S.-Y., Ng S.-B., Tang T.P.L., Han K., Wang V.Y.-F., Jia W.-H., Pei Z., Li Y.-J., Gao S., Shi Y., Hu Z., Zhang F., Zhang B., Zeng Y.-X., Shen H., He L., Ong C.K., Lim S.T., Chanock S., Kwong Y.-L., Lin D., Rothman N., Khor C.C., Lan Q., Bei J.-X., Au W.-Y., Chiu B., Fan L., Li Z., LAM T.H., Liang R., Yeh S.-P., Xu J., Ip D.K.M., Li G., Xu G., Wang X., Bai O., Cai Q.-Q., Xia Y., Chen J.-R., Luo C.-L., Xiong X.-Y., Zeng Y., Wei P.-P., Liu C.-J., Liu Y.-X., Cao Y.-L., He S., Liu Y., Ha J.C.H., Khoo L.P., Kee R.X., Tan J., Liu Y., Zhang F., Feng Y., Rao H., Chng W.J., Chan J.Y.S., Somasundaram N.D., Tao M., Ras M.F.B.H., Yeoh K.-W., Goh Y.T., Ong S.Y., Grigoropoulos N.F., Wong E.K.Y., Pang J.W.L., Lim J.Q., Chia B.K.H., Kim S.J., Yoon S.E., Choi S., Kuo C.-Y., Chen T.-Y., Su Y.-C., Huang W.-T., Lee M.-Y., Yao W., Ngan K.-C., Liu H., Lee H., Yip S.-F., Liu J., Li J., Rabkin C.S., Berndt S., Bassig B., Hu W., Zhao M., Li Y., Zhai Q., Shao Z., Qiu L., Wang J., Xu F.-P., Chen L., Hou Y., Xu S., Huang Z., Xie M., Li M., Zhong S., Zhang Y., Gu D., Wang X., Foo J.N., Li Z., Dai J., Sun L., Wang Z., Liu H., Zhou H., Sun Y., Koh W.-P., Heng C.-K., Hong C.S., Ahn J., Park K.H., Tin A., Gu J., Xia X., Li B., Yu X., International NKTCL Working Group. Genetic risk of extranodal natural killer T-cell lymphoma: a genome-wide association study in multiple populations[J]. The Lancet Oncology, 2020, 21(2), 306-316.
Authors:
Lin G.-W.
;
Xu C.
;
Chen K.
;
Huang H.-Q.
;
Chen J.
; et al.
Favorite
|
TC[WOS]:
49
TC[Scopus]:
52
IF:
41.6
/
42.2
|
Submit date:2022/06/15
Artificial intelligence based discovery of the association between depression and chronic fatigue syndrome
Journal article
Zhang, Feilong, Wu, Chuanhong, Jia, Caixia, Gao, Kuo, Wang, Jinping, Zhao, Huihui, Wang, Wei, Chen, Jianxin. Artificial intelligence based discovery of the association between depression and chronic fatigue syndrome[J]. Journal of Affective Disorders, 2019, 250, 380-390.
Authors:
Zhang, Feilong
;
Wu, Chuanhong
;
Jia, Caixia
;
Gao, Kuo
;
Wang, Jinping
; et al.
Favorite
|
TC[WOS]:
7
TC[Scopus]:
8
IF:
4.9
/
5.4
|
Submit date:2022/04/15
Chronic Fatigue Syndrome
Depressive Disorder
Metabolite Biomarkers
Partial Least Squares Discriminant Analysis
Principal Components Analysis
Erratum to: Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition) (Autophagy, 12, 1, 1-222, 10.1080/15548627.2015.1100356
Other
2016-01-01
Authors:
Klionsky, Daniel J.
;
Abdelmohsen, Kotb
;
Abe, Akihisa
;
Abedin, Md Joynal
;
Abeliovich, Hagai
; et al.
Favorite
|
TC[WOS]:
407
TC[Scopus]:
24
|
Submit date:2022/07/20