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检索条件"机构=MOE Key Laboratory of Advanced Theory and Application in Statistics and Data Science"
212 条 记 录,以下是121-130 订阅
排序:
mFI-PSO: A Flexible and Effective Method in Adversarial Image Generation for Deep Neural Networks
arXiv
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arXiv 2020年
作者: Shu, Hai Shi, Ronghua Jia, Qiran Zhu, Hongtu Chen, Ziqi Department of Biostatistics School of Global Public Health New York University New YorkNY United States School of Mathematics and Statistics Central South University Changsha China Departments of Biostatistics Statistics Computer Science and Genetics The University of North Carolina at Chapel Hill Chapel HillNC United States Key Laboratory of Advanced Theory and Application in Statistics and Data Science-MOE School of Statistics East China Normal University Shanghai China
Deep neural networks (DNNs) have achieved great success in image classification, but can be very vulnerable to adversarial attacks with small perturbations to images. To improve adversarial image generation for DNNs, ... 详细信息
来源: 评论
Large and moderate deviations for record numbers in some non–nearest neighbor random walks
arXiv
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arXiv 2019年
作者: Li, Yuqiang Yao, Qiang Key Laboratory of Advanced Theory and Application in Statistics and Data Science–MOE School of Statistics East China Normal University China NYU–ECNU Institute of Mathematical Sciences NYU Shanghai China
The deviation principles of record numbers in random walk models have not been completely investigated, especially for the non–nearest neighbor cases. In this paper, we derive the asymptotic probabilities of large an... 详细信息
来源: 评论
Measurement of the neutron capture cross sections of rhenium up to stellar s- and r-process temperatures at the China Spallation Neutron Source Back-n facility
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Physical Review Research 2024年 第1期6卷 013225-013225页
作者: Gaole Yang Zhendong An Wei Jiang Xiankai Li Weiwei Qiu Zhengfa Liao Ziyue Zhuang Xiaoping Zhang Shengli Chen Chenchen Guo Erxi Xiao Xiao Fang Xinxiang Li Hongwei Wang Xinrong Hu Bing Jiang Wenqing Shen Jincheng Wang Jie Ren Xichao Ruan Dexin Wang Su-Yalatu Zhang Wen Luo Zhichao Zhu Haoyang Lan Zongwei Cao Xu Ma Yingdu Liu Pusen Wang Yi Yang Ping Su Xiangai Deng Wanbing He Yugang Ma Chunwang Ma Yuting Wang Zhitao Dai Ertao Li Pengqin He RenGuang Tang Tao Zhou Jing Wang Han Yi Yue Zhang Yonghao Chen Ruirui Fan Keqing Gao Qiang Li Kang Sun Zhixin Tan Minhao Gu Hantao Jing Jingyu Tang Institute of Modern Physics Chinese Academy of Sciences Lanzhou 730000 China School of Physics and Astronomy Sun Yat-sen University Zhuhai 519082 China State Key Laboratory of Lunar and Planetary Sciences Macau University of Science and Technology Macau 999078 China CNSA Macau Center for Space Exploration and Science Macau 999078 China Shanghai Institute of Applied Physics Chinese Academy of Sciences Shanghai 201800 China Institute of High Energy Physics Chinese Academy of Sciences Beijing 100049 China Spallation Neutron Source Science Center Dongguan 523803 China School of Nuclear Science and Technology University of South China Hengyang 421001 China Sino-French Institute of Nuclear Engineering and Technology Sun Yat-sen University Zhuhai 519082 China University of Chinese Academy of Sciences Beijing 100049 China Shanghai Advanced Research Institute Chinese Academy of Sciences Shanghai 201210 China Key Laboratory of Nuclear Data China Institute of Atomic Energy Beijing 102413 China College of Mathematics and Physics Inner Mongolia Minzu University Tongliao 028000China Institute of Nuclear Physics Inner Mongolia Minzu University Tongliao 028000 China Shool of Materials Science and Engineering Xiangtan University Xiangtan 411100 China Key Laboratory of Nuclear Physics and Ion-beam Application (MOE) Institute of Modern Physics Department of Nuclear Science and Technology Fudan University Shanghai 200433 China Institute of Particle and Nuclear Physics Henan Normal University Xinxiang 453007 China School of Physics Henan Normal University Xinxiang 453007 China Shenzhen Center Cancer hospital Chinese Academy of Medical Sciences Shenzhen 518100 China Institute for Advanced Study in Nuclear Energy and Safety College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen 518060 China School of Nuclear Science and Technology University of Science and Technology of China Hefei 230027 China
The neutron capture measurement of natural rhenium was performed with the time-of-flight technique at the Back-n facility of the China Spallation Neutron Source in the energy range from 1 to 500 eV of the resolved res... 详细信息
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Disentangling the spatial structure and style in conditional vae
arXiv
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arXiv 2019年
作者: Zhang, Ziye Sun, Li Zheng, Zhilin Li, Qingli Shanghai Key Laboratory of Multidimensional Information Processing Key Laboratory of Advanced Theory and Application in Statistics and Data Science East China Normal University Shanghai200241 China
This paper aims to disentangle the latent space in cVAE into the spatial structure and the style code, which are complementary to each other, with one of them zs being label relevant and the other zu irrelevant. The g... 详细信息
来源: 评论
Derivatives of local times for some Gaussian fields
arXiv
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arXiv 2019年
作者: Hong, Minhao Xu, Fangjun School of Statistics East China Normal University Shanghai200262 China Key Laboratory of Advanced Theory and Application in Statistics and Data Science - MOE School of Statistics East China Normal University Shanghai200062 China NYU-ECNU Institute of Mathematical Sciences at NYU Shanghai 3663 Zhongshan Road North Shanghai200062 China
In this article, we consider derivatives of local time for a (2, d)-Gaussian field Z = {Z(t, s) = XtH1 − XeH2 , s, t ≥ 0}, s where XH1 and XeH2 are two independent processes from a class of d-dimensional centered Gau... 详细信息
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Sparse generalized canonical correlation analysis: Distributed alternating iteration based approach
arXiv
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arXiv 2020年
作者: Cai, Jia Lv, Kexin Huo, Junyi Huang, Xiaolin Yang, Jie School of Statistics and Mathematics Guangdong University of Finance & Economics Big Data and Educational Statistics Application Laboratory 21 Chisha Road Guangzhou Guangdong510320 China Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University MOE Key Laboratory of System Control and Information Processing 800 Dongchuan Road Shanghai200240 China School of Electronics and Computer Science University of Southampton University Road SouthamptonSO17 1BJ United Kingdom
Sparse canonical correlation analysis (CCA) is a useful statistical tool to detect latent information with sparse structures. However, sparse CCA works only for two datasets, i.e., there are only two views or two dist... 详细信息
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Fractional stochastic wave equation driven by a Gaussian noise rough in space
arXiv
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arXiv 2019年
作者: Song, Jian Song, Xiaoming Xu, Fangjun School of Mathematics Shandong University Jinan Shandong250100 China Department of Mathematics Drexel University PhiladelphiaPA19104 United States Key Laboratory of Advanced Theory and Application in Statistics and Data Science - MOE School of Statistics East China Normal University Shanghai200062 China NYU-ECNU Institute of Mathematical Sciences NYU Shanghai Shanghai200062 China
In this article, we consider fractional stochastic wave equations on R driven by a multiplicative Gaussian noise which is white/colored in time and has the covariance of a fractional Brownian motion with Hurst paramet... 详细信息
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On the estimation of high-dimensional integrated covariance matrices based on high-frequency data with multiple transactions
arXiv
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arXiv 2019年
作者: Wang, Moming Xia, Ningning Zhou, Yong School of Statistics and Management Shanghai University of Finance and Economics 777 Guo Ding Road Shanghai200433 China School of Statistics and Management Shanghai Key Laboratory of Financial Information Technology Shanghai University of Finance and Economics 777 Guo Ding Road Shanghai200433 China Faculty of Economics and Management East China Normal University Shanghai200241 China Academy of Mathematics and Systems Science Chinese Academy of Science Beijing100190 China Key Laboratory of Advanced Theory and Application in Statistics and Data Science MOE Academy of Statistics and Interdisciplinary Sciences School of Statistics East China Normal University Shanghai200062 China
High-frequency data in financial markets often include multiple transactions at each recording time due to the mechanism of recording. Using random matrix theory, this paper considers the estimation of integrated cova... 详细信息
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scTenifoldXct: A semi-supervised method for predicting cell-cell interactions and mapping cellular communication graphs
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Cell systems 2023年 第4期14卷 302-311.e4页
作者: Yongjian Yang Guanxun Li Yan Zhong Qian Xu Yu-Te Lin Cristhian Roman-Vicharra Robert S Chapkin James J Cai Department of Electrical and Computer Engineering Texas A&M University College Station TX 77843 USA. Department of Statistics Texas A&M University College Station TX 77843 USA. Key Laboratory of Advanced Theory and Application in Statistics and Data Science-MOE School of Statistics East China Normal University 3663 North Zhongshan Road Shanghai 200062 China. Department of Veterinary Integrative Biosciences Texas A&M University College Station TX 77843 USA. Graduate Institute of Biomedical Electronics and Bioinformatics National Taiwan University Taipei Taiwan. Department of Nutrition and the Program in Integrative Nutrition & Complex Diseases Texas A&M University College Station TX 77843 USA. Electronic address: r-chapkin@tamu.edu. Department of Electrical and Computer Engineering Texas A&M University College Station TX 77843 USA Department of Veterinary Integrative Biosciences Texas A&M University College Station TX 77843 USA Interdisciplinary Program of Genetics Texas A&M University College Station TX 77843 USA. Electronic address: jcai@tamu.edu.
We present scTenifoldXct, a semi-supervised computational tool for detecting ligand-receptor (LR)-mediated cell-cell interactions and mapping cellular communication graphs. Our method is based on manifold alignment, u... 详细信息
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Search for B0 meson decays into Λ and missing energy with a hadronic tagging method at Belle
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Physical Review D 2022年 第5期105卷 L051101-L051101页
作者: C. Hadjivasiliou B. G. Fulsom J. F. Strube I. Adachi H. Aihara D. M. Asner H. Atmacan T. Aushev V. Babu K. Belous J. Bennett M. Bessner V. Bhardwaj B. Bhuyan T. Bilka J. Biswal D. Bodrov J. Borah A. Bozek M. Bračko P. Branchini T. E. Browder A. Budano M. Campajola D. Červenkov M.-C. Chang P. Chang A. Chen B. G. Cheon K. Chilikin H. E. Cho S.-K. Choi Y. Choi S. Choudhury D. Cinabro S. Cunliffe S. Das G. De Pietro F. Di Capua Z. Doležal T. V. Dong D. Dossett D. Epifanov T. Ferber R. Garg V. Gaur A. Giri P. Goldenzweig T. Gu K. Gudkova H. Hayashii W.-S. Hou C.-L. Hsu T. Iijima K. Inami G. Inguglia A. Ishikawa M. Iwasaki Y. Iwasaki W. W. Jacobs S. Jia Y. Jin J. Kahn A. B. Kaliyar K. H. Kang G. Karyan C. Kiesling C. H. Kim D. Y. Kim K. T. Kim Y.-K. Kim P. Kodyš T. Konno A. Korobov S. Korpar E. Kovalenko P. Križan R. Kroeger P. Krokovny R. Kumar K. Kumara Y.-J. Kwon S. C. Lee L. K. Li S. X. Li Y. B. Li L. Li Gioi J. Libby K. Lieret C. MacQueen M. Masuda D. Matvienko M. Merola K. Miyabayashi R. Mizuk G. B. Mohanty R. Mussa M. Nakao Z. Natkaniec A. Natochii M. Nayak N. K. Nisar S. Nishida K. Nishimura H. Ono P. Oskin P. Pakhlov G. Pakhlova T. Pang S.-H. Park S. Paul T. K. Pedlar L. E. Piilonen T. Podobnik V. Popov E. Prencipe M. T. Prim M. Röhrken A. Rostomyan N. Rout G. Russo D. Sahoo S. Sandilya A. Sangal L. Santelj T. Sanuki V. Savinov G. Schnell C. Schwanda Y. Seino K. Senyo M. Shapkin C. P. Shen J.-G. Shiu B. Shwartz F. Simon J. B. Singh E. Solovieva M. Starič Z. S. Stottler M. Sumihama T. Sumiyoshi M. Takizawa K. Tanida F. Tenchini M. Uchida T. Uglov Y. Unno S. Uno R. Van Tonder G. Varner A. Vinokurova E. Waheed C. H. Wang E. Wang M.-Z. Wang P. Wang X. L. Wang S. Watanuki L. Wood B. D. Yabsley W. Yan H. Ye J. Yelton J. H. Yin Z. P. Zhang V. Zhilich V. Zhukova Pacific Northwest National Laboratory Richland Washington 99352 High Energy Accelerator Research Organization (KEK) Tsukuba 305-0801 SOKENDAI (The Graduate University for Advanced Studies) Hayama 240-0193 Department of Physics University of Tokyo Tokyo 113-0033 Brookhaven National Laboratory Upton New York 11973 University of Cincinnati Cincinnati Ohio 45221 National Research University Higher School of Economics Moscow 101000 Deutsches Elektronen–Synchrotron 22607 Hamburg Institute for High Energy Physics Protvino 142281 University of Mississippi University Mississippi 38677 University of Hawaii Honolulu Hawaii 96822 Indian Institute of Science Education and Research Mohali SAS Nagar 140306 Indian Institute of Technology Guwahati Assam 781039 Faculty of Mathematics and Physics Charles University 121 16 Prague J. Stefan Institute 1000 Ljubljana P. N. Lebedev Physical Institute of the Russian Academy of Sciences Moscow 119991 H. Niewodniczanski Institute of Nuclear Physics Krakow 31-342 Faculty of Chemistry and Chemical Engineering University of Maribor 2000 Maribor INFN—Sezione di Roma Tre I-00146 Roma INFN—Sezione di Napoli I-80126 Napoli Università di Napoli Federico II I-80126 Napoli Department of Physics Fu Jen Catholic University Taipei 24205 Department of Physics National Taiwan University Taipei 10617 National Central University Chung-li 32054 Department of Physics and Institute of Natural Sciences Hanyang University Seoul 04763 Gyeongsang National University Jinju 52828 Sungkyunkwan University Suwon 16419 Indian Institute of Technology Hyderabad Telangana 502285 Wayne State University Detroit Michigan 48202 Malaviya National Institute of Technology Jaipur Jaipur 302017 Key Laboratory of Nuclear Physics and Ion-beam Application (MOE) and Institute of Modern Physics Fudan University Shanghai 200443 School of Physics University of Melbourne Victoria 3010 Budker Institute of Nuclear Physics SB RAS Novosibirsk 630090 Novosibirsk State University Novosibirsk 6300
We present a search for the decays of B0 mesons into a final state containing a Λ baryon and missing energy. These results are obtained from a 711 fb−1 data sample that contains 772×106 BB¯ pairs and was ... 详细信息
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