Y
Yang Li
Researcher at University of Science and Technology of China
Publications - 1905
Citations - 79947
Yang Li is an academic researcher from University of Science and Technology of China. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 117, co-authored 1319 publications receiving 63111 citations. Previous affiliations of Yang Li include Max Planck Society & Center for Advanced Materials.
Papers
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Journal ArticleDOI
Coulomb excitation of the deuteron in peripheral collisions with a heavy ion
Weijie Du,Peng Yin,Peng Yin,Yang Li,Guangyao Chen,Guangyao Chen,Wei Zuo,Xingbo Zhao,James P. Vary +8 more
TL;DR: In this article, an ab initio, nonperturbative, time-dependent basis function (tBF) method was developed to solve the nuclear structure and scattering problems in a unified manner.
Journal ArticleDOI
Modeling nonstationary covariance function with convolution on sphere
Yang Li,Zhengyuan Zhu +1 more
TL;DR: The issue of modeling a spatial random fields on sphere which is stationary across longitudes is addressed with a kernel convolution approach and the circulant block property of the covariance matrix enables the proposed approach to use Fast Fourier Transform to get its determinant and inverse matrix efficiently.
Journal ArticleDOI
Search for bottomonium states in exclusive radiative Υ(2S) decays.
S. Sandilya,S. Sandilya,K. Trabelsi,G. B. Mohanty,I. Adachi,Hiroaki Aihara,D. M. Asner,T. Aushev,Tariq Aziz,A. M. Bakich,A. Bala,V. Bhardwaj,B. Bhuyan,A.E. Bondar,G. Bonvicini,A. Bozek,M. Bračko,T. E. Browder,Po-Hsun Chen,B. G. Cheon,K. Chilikin,R. Chistov,K. Cho,V. Chobanova,S. K. Choi,Y. Choi,D. Cinabro,J. Dalseno,Jochen Dingfelder,Z. Doležal,A. Drutskoy,D. Dutta,S.I. Eidelman,H. Farhat,James E. Fast,M. Feindt,Torben Ferber,A. Frey,V. Gaur,N. Gabyshev,S. Ganguly,R. Gillard,Y. M. Goh,B. Golob,J. Haba,T. Hara,K. Hayasaka,H. Hayashii,Y. Hoshi,W. S. Hou,Y. B. Hsiung,H. J. Hyun,T. Iijima,A. Ishikawa,R. Itoh,Y. Iwasaki,T. Julius,D. H. Kah,J. H. Kang,E. Kato,H. Kawai,T. Kawasaki,C. Kiesling,D. Y. Kim,H. O. Kim,J. B. Kim,Jung-Hyun Kim,Yongsun Kim,J. Klucar,B. R. Ko,Peter Kodys,S. Korpar,P. Križan,P. Krokovny,T. Kumita,A.S. Kuzmin,Y. J. Kwon,J. S. Lange,Sang Hoon Lee,J. Li,Yang Li,J. Libby,Z. Q. Liu,D. Liventsev,P. Lukin,J. MacNaughton,D. Matvienko,K. Miyabayashi,H. Miyata,R. Mizuk,A. Moll,Norihito Muramatsu,R. Mussa,Yasushi Nagasaka,M. Nakao,M. Nayak,C. Ng,N. K. Nisar,S. Nishida,O. Nitoh,S. Ogawa,S. Okuno,C. Oswald,G. Pakhlova,C. W. Park,H. Park,H. K. Park,T. K. Pedlar,R. Pestotnik,Marko Petrič,L. E. Piilonen,M. Ritter,M. Röhrken,A. Rostomyan,Sunmin Ryu,H. Sahoo,T. Saito,K. Sakai,Y. Sakai,L. Santelj,T. Sanuki,Yukinori Sato,V. Savinov,O. Schneider,G. Schnell,G. Schnell,D. Semmler,K. Senyo,M. E. Sevior,M. Shapkin,C. P. Shen,T. A. Shibata,J. G. Shiu,B.A. Shwartz,A.L. Sibidanov,Frank Simon,Y. S. Sohn,Andrey Sokolov,E. Solovieva,Samo Stanič,M. Starič,M. Steder,T. Sumiyoshi,U. Tamponi,Kiyoshi Tanida,G. Tatishvili,Y. Teramoto,T. Tsuboyama,M. Uchida,S. Uehara,T. Uglov,Yoshinobu Unno,S. Uno,Phillip Urquijo,S. E. Vahsen,C. Van Hulse,P. Vanhoefer,G. S. Varner,V. Vorobyev,M. N. Wagner,C. H. Wang,M. Z. Wang,P. Wang,X. L. Wang,M. Watanabe,Y. Watanabe,J. Wiechczynski,K. M. Williams,E. Won,Bruce Yabsley,J. Yamaoka,Y. Yamashita,S. Yashchenko,C. Z. Yuan,Y. Yusa,C. C. Zhang,Z. P. Zhang,V.N. Zhilich,Anze Zupanc +178 more
TL;DR: It is found no evidence for the state recently observed around 9975 MeV (X(bb)) in an analysis based on a data sample of 9.3×10(6) Υ(2S) events collected with the CLEO III detector.
Journal ArticleDOI
Measurement of the branching fraction of B →d (?)πν at Belle using hadronic tagging in fully reconstructed events
A. Vossen,A. Vossen,Iki Adachi,K. Adamczyk,H. Aihara,S. Al Said,S. Al Said,D. M. Asner,V.M. Aulchenko,V.M. Aulchenko,Tagir Aushev,R. Ayad,I. Badhrees,I. Badhrees,Vikas Bansal,C. Beleño,B. Bhuyan,T. Bilka,Jyoti Prakash Biswal,A.E. Bondar,A.E. Bondar,A. Bozek,T. E. Browder,D. Červenkov,A. Chen,B. G. Cheon,K. Chilikin,K. Cho,S. K. Choi,Y. Choi,Somnath Choudhury,D. Cinabro,S. Cunliffe,N. Dash,S. Di Carlo,Z. Doležal,Semen Eidelman,Semen Eidelman,James E. Fast,T. Ferber,B. G. Fulsom,Rocky Bala Garg,V. Gaur,N. Gabyshev,N. Gabyshev,A. Garmash,A. Garmash,M. Gelb,P. Goldenzweig,Elisa Guido,T. Hara,O. Hartbrich,K. Hayasaka,H. Hayashii,M. T. Hedges,S. Hirose,W. S. Hou,K. Inami,A. Ishikawa,R. Itoh,M. Iwasaki,Y. Iwasaki,W. W. Jacobs,I. Jaegle,S. Jia,Y. Jin,T. Julius,Doo Young Kim,H. J. Kim,J. B. Kim,K. T. Kim,S. H. Kim,K. Kinoshita,S. Korpar,D. Kotchetkov,P. Križan,R. Kroeger,Pavel Krokovny,Pavel Krokovny,T. Kuhr,R. Kulasiri,T. Kumita,Y. J. Kwon,J. S. Lange,I. S. Lee,Shih-Chang Lee,L. K. Li,Yang Li,L. Li Gioi,J. Libby,D. Liventsev,M. Lubej,M. Masuda,M. Merola,K. Miyabayashi,H. Miyata,R. Mizuk,R. Mizuk,H. K. Moon,R. Mussa,E. Nakano,M. Nakao,T. Nanut,K. J. Nath,M. Nayak,M. Niiyama,S. Nishida,H. Ono,P. Pakhlov,G. Pakhlova,B. Pal,S. Pardi,H. Park,Soumen Paul,T. K. Pedlar,R. Pestotnik,Leo Piilonen,Vladimir Popov,Martin Ritter,A. Rostomyan,G. Russo,Dipak Kumar Sahoo,Y. Sakai,M. Salehi,M. Salehi,S. Sandilya,L. Santelj,T. Sanuki,V. Savinov,O. Schneider,G. Schnell,G. Schnell,C. Schwanda,A. J. Schwartz,Y. Seino,K. Senyo,V.E. Shebalin,V.E. Shebalin,C. P. Shen,T. A. Shibata,N. Shimizu,J. G. Shiu,Frank Simon,E. Solovieva,M. Starič,J. F. Strube,M. Sumihama,T. Sumiyoshi,M. Takizawa,U. Tamponi,Kiyoshi Tanida,F. Tenchini,K. Trabelsi,M. Uchida,T. Uglov,Yoshinobu Unno,S. Uno,Phillip Urquijo,Y. Usov,Y. Usov,C. Van Hulse,G. Varner,Kevin Varvell,A. Vinokurova,A. Vinokurova,V. Vorobyev,V. Vorobyev,Bingran Wang,C. H. Wang,M. Z. Wang,P. Wang,M. Watanabe,E. Widmann,E. Won,H. Ye,Y. Yusa,S. Zakharov,Z. P. Zhang,V.N. Zhilich,V.N. Zhilich,V. Zhukova,Vladimir Zhulanov,Vladimir Zhulanov,A. Zupanc +183 more
TL;DR: In this article, a measurement of the branching fraction of the decay B → D-(*()) pi l nu (l=e,mu) is reported, using 772X106 B over bar pairs produced in e(+)e(-) -> Upsilon (4S) data recorded by the Belle experiment at the KEKB asymmetric-energy e+e-collider.
Journal ArticleDOI
Intelligent fault diagnosis of rotating machinery based on multiple relevance vector machines with variance radial basis function kernel
TL;DR: The proposed intelligent fault diagnosis method based on relevance vector machines (RVM) was carried out to develop a multi-class bearing fault diagnosis model under varying load conditions, resulting in high accuracy around 99.58 per cent.