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 Nov 2017TL;DR: This work proposes a novel Neighborhood-based Neural Collaborative Filtering model (NNCF), which is the first time that the neighborhood information is integrated into the neural collaborative filtering methods.
Abstract: Recently, deep neural networks have been widely applied to recommender systems. A representative work is to utilize deep learning for modeling complex user-item interactions. However, similar to traditional latent factor models by factorizing user-item interactions, they tend to be ineffective to capture localized information. Localized information, such as neighborhood, is important to recommender systems in complementing the user-item interaction data. Based on this consideration, we propose a novel Neighborhood-based Neural Collaborative Filtering model (NNCF). To the best of our knowledge, it is the first time that the neighborhood information is integrated into the neural collaborative filtering methods. Extensive experiments on three real-world datasets demonstrate the effectiveness of our model for the implicit recommendation task.
97 citations
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TL;DR: It is argued that viewer-viewer interaction can promptpaid gifting by affecting viewers’ arousal level through stimuli extracted from danmaku, and empirical results show that except for number of emoji, the other four variables positively affect paid gifting.
97 citations
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TL;DR: Li et al. as discussed by the authors examined whether CSR behavior in the form of charitable donations garners a positive reaction from suppliers, and derived from both level and change model regressions show that superior CSP makes it easier for a firm to obtain trade credit from suppliers.
Abstract: The influence of corporate social performance (CSP) on stakeholders is one of the focal issues in corporate social responsibility (CSR) research. Using data of listed companies in China, this paper examines whether CSR behavior in the form of charitable donations garners a positive reaction from suppliers. Results derived from both level and change model regressions show that superior CSP makes it easier for a firm to obtain trade credit from suppliers, although the effect is significant only in non-state-owned enterprises (non-SOEs). The results are robust to various measures of CSP and endogeneity tests. The results support the strategic philanthropy view and apply stakeholder theory in supply chain, that strategic CSR can help firms to attract suppliers and consolidate cooperative relationships with them, which in turn benefits the firms in terms of more trade credit financing from suppliers. This paper also shows that state-owned enterprises and non-SOEs have different CSR intentions and use CSR to achieve strategic goals in different ways. The conclusions drawn from this study provide practical guidance on CSR strategy, suggesting that CSR activities can help a firm in transition economies to enhance its corporate image, establish and consolidate the good relationship with suppliers, and obtain economic benefits or achieve long-term business objectives.
97 citations
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TL;DR: The authors examined the stock price impact of corporate site visits using a unique data set of site visits to listed firms in China and found that the changes in visiting funds' holdings are more predictive of firms' future performance than those of nonvisiting funds.
Abstract: We examine the stock price impact of corporate site visits using a unique data set of site visits to listed firms in China. Our main findings are as follows. First, the market reaction around corporate site visits is statistically and economically significant and is stronger for group visits, visits conducted by mutual fund managers, visits covering accounting and finance topics, visits to firms with poor information environments, and visits to manufacturing firms. Second, the stock returns around site visits are positively associated with firms’ future performance. Third, the changes in visiting funds’ holdings are more predictive of firms’ future performance than those of nonvisiting funds. Overall, this study contributes to the literature by providing evidence that site visits are important venues for investors to collect information about firms and make informed trades. Les visites sur place de societes ont‐elles une incidence sur le cours des actions? Les auteurs analysent l'incidence des visites sur place de societes sur le cours des actions au moyen d'un jeu unique de donnees relatives aux visites sur place de societes cotees en Chine. Leurs principales observations sont les suivantes: premierement, la reaction du marche a proximite des visites sur place de societes est statistiquement et economiquement significative et plus marquee dans le cas de visites collectives, de visites dirigees par les gestionnaires de fonds communs de placement, de visites portant sur des sujets comptables et financiers, de visites sur place de societes dont l'environnement d'information est deficient et de visites d'entreprises de fabrication; deuxiemement, le rendement des actions a proximite des visites sur place de societes est en relation positive avec la performance future des societes; et troisiemement, les changements dans les participations detenues par les fonds visiteurs sont plus aptes a permettre de predire la performance future des societes que les changements dans les participations detenues par les fonds non visiteurs. Dans l'ensemble, l’etude enrichit la documentation en demontrant, preuves a l'appui, que les visites sur place de societes sont d'importants deplacements grâce auxquels les investisseurs peuvent se renseigner sur les entreprises et prendre des decisions eclairees quant a leurs operations.
97 citations
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TL;DR: In this paper, the in-plane magnetic orders of a few layers are tunable between striped antiferromagnetic and ferromagnetic (FM) orders by manipulating charge transfer between Cr ${t}_{2g}$ and ${e}_{g$ orbitals.
Abstract: Interlayer coupling is of vital importance for manipulating physical properties, e.g., electronic band gap, in two-dimensional materials. However, tuning magnetic properties in these materials is yet to be addressed. Here, we found the in-plane magnetic orders of $\mathrm{Cr}{\mathrm{S}}_{2}$ mono and few layers are tunable between striped antiferromagnetic (sAFM) and ferromagnetic (FM) orders by manipulating charge transfer between Cr ${t}_{2g}$ and ${e}_{g}$ orbitals. Such charge transfer is realizable through interlayer coupling, direct charge doping, or substituting S with Cl atoms. In particular, the transferred charge effectively reduces a portion of ${\mathrm{Cr}}^{4+}$ to ${\mathrm{Cr}}^{3+}$, which, together with delocalized S $p$ orbitals and their resulting direct S-S interlayer hopping, enhances the double-exchange mechanism favoring the FM rather than sAFM order. An exceptional interlayer spin-exchange parameter was revealed over $\ensuremath{-}10\phantom{\rule{0.16em}{0ex}}\mathrm{meV}$, an order of magnitude stronger than available results of interlayer magnetic coupling. It addition, the charge doping could tune $\mathrm{Cr}{\mathrm{S}}_{2}$ between $p$- and $n$-doped magnetic semiconductors. Given these results, several prototype devices were proposed for manipulating magnetic orders using external electric fields or mechanical motion. These results manifest the role of interlayer coupling in modifying magnetic properties of layered materials and shed considerable light on manipulating magnetism in these materials.
97 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 |