Institution
Renmin University of China
Education•Beijing, Beijing, China•
About: Renmin University of China is a education organization based out in Beijing, Beijing, China. It is known for research contribution in the topics: China & Population. The organization has 11325 authors who have published 15498 publications receiving 238419 citations. The organization is also known as: Renmin University & People's University of China.
Topics: China, Population, Computer science, Catalysis, Context (language use)
Papers published on a yearly basis
Papers
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06 Sep 2014
TL;DR: This paper proposes a protocol to securely outsource the (most generic) variable-exponent variable-base exponentiations in one untrusted program model and applies this protocol to Shacham-Waters PDP and a variant of Yuan-Yu PDP.
Abstract: Provable Data Possession (PDP) allows a file owner to outsource her files to a storage server such that a verifier can check the integrity of the outsourced file Public verifiable PDP schemes allow any one other than the file owner to be a verifier At the client side (file owner or verifier), a substantial number of modular exponentiations is often required In this paper we make PDP more practical via proposing a protocol to securely outsource the (most generic) variable-exponent variable-base exponentiations in one untrusted program model Our protocol demonstrates advantages in efficiency or privacy over existing protocols coping with only special cases in two or single untrusted program model We then apply our generic protocol to Shacham-Waters PDP and a variant of Yuan-Yu PDP The analyses show that our protocol makes PDP much more efficient at the client side
109 citations
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TL;DR: This study proposes a new regressor—ε-twin support vector regression (ε-TSVR) based on TSVR, which determines a pair of ε-insensitive proximal functions by solving two related SVM-type problems.
Abstract: This study proposes a new regressor—e-twin support vector regression (e-TSVR) based on TSVR. e-TSVR determines a pair of e-insensitive proximal functions by solving two related SVM-type problems. Different form only empirical risk minimization is implemented in TSVR, the structural risk minimization principle is implemented by introducing the regularization term in primal problems of our e-TSVR, yielding the dual problems to be stable positive definite quadratic programming problems, so can improve the performance of regression. In addition, the successive overrelaxation technique is used to solve the optimization problems to speed up the training procedure. Experimental results for both artificial and real datasets show that, compared with the popular e-SVR, LS-SVR and TSVR, our e-TSVR has remarkable improvement of generalization performance with short training time.
109 citations
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TL;DR: In this article, the authors reported a Sn4P3-P (Sn:P = 1:3) @graphene nanocomposite synthesized with a novel and facile mechanochemical method, which exhibits unrivalled high-rate capacity retentions of >550 and 371 mA h g−1 at 1 and 2 A g− 1, respectively, over 1000 cycles.
Abstract: Phosphorus and tin phosphide based materials that are extensively researched as the anode for Na-ion batteries mostly involve complexly synthesized and sophisticated nanocomposites limiting their commercial viability. This work reports a Sn4P3-P (Sn:P = 1:3) @graphene nanocomposite synthesized with a novel and facile mechanochemical method, which exhibits unrivalled high-rate capacity retentions of >550 and 371 mA h g−1 at 1 and 2 A g−1, respectively, over 1000 cycles and achieves excellent rate capability (>815, ≈585 and ≈315 mA h g−1 at 0.1, 2, and 10 A g−1, respectively).
108 citations
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TL;DR: It was demonstrated that intracellular ROS production was increased with the NaClO dosage higher than 1 mg/g-SS, which likely induced further damage to microbial cells, and thus organic matter and nitrogen removal efficiencies were decreased.
108 citations
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TL;DR: In this article, a combination of vector-magnetic-field capability and scanning tunnelling microscopy was used to elucidate the spin-orbit nature of the kagome ferromagnet Fe3Sn2 and explore the associated exotic correlated phenomena.
Abstract: Owing to the unusual geometry of kagome lattices-lattices made of corner-sharing triangles-their electrons are useful for studying the physics of frustrated, correlated and topological quantum electronic states. In the presence of strong spin-orbit coupling, the magnetic and electronic structures of kagome lattices are further entangled, which can lead to hitherto unknown spin-orbit phenomena. Here we use a combination of vector-magnetic-field capability and scanning tunnelling microscopy to elucidate the spin-orbit nature of the kagome ferromagnet Fe3Sn2 and explore the associated exotic correlated phenomena. We discover that a many-body electronic state from the kagome lattice couples strongly to the vector field with three-dimensional anisotropy, exhibiting a magnetization-driven giant nematic (two-fold-symmetric) energy shift. Probing the fermionic quasi-particle interference reveals consistent spontaneous nematicity-a clear indication of electron correlation-and vector magnetization is capable of altering this state, thus controlling the many-body electronic symmetry. These spin-driven giant electronic responses go well beyond Zeeman physics and point to the realization of an underlying correlated magnetic topological phase. The tunability of this kagome magnet reveals a strong interplay between an externally applied field, electronic excitations and nematicity, providing new ways of controlling spin-orbit properties and exploring emergent phenomena in topological or quantum materials.
108 citations
Authors
Showing all 11512 results
Name | H-index | Papers | Citations |
---|---|---|---|
Tao Zhang | 123 | 2772 | 83866 |
Xuan Zhang | 119 | 1530 | 65398 |
Richard J.H. Smith | 118 | 1308 | 61779 |
Wei Lu | 111 | 1973 | 61911 |
Yongfa Zhu | 105 | 355 | 33765 |
Wei Zhang | 104 | 2911 | 64923 |
Lu Qi | 94 | 566 | 54866 |
Chao-Jun Li | 92 | 731 | 38074 |
Scott Rozelle | 87 | 789 | 30543 |
Peng Cheng | 84 | 749 | 27599 |
Paul A. Kirschner | 82 | 545 | 33626 |
Thomas Reardon | 79 | 285 | 25458 |
Lei Zhang | 78 | 1485 | 30058 |
Hong-Bo Sun | 78 | 691 | 24955 |
G. F. Chen | 77 | 921 | 31485 |