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597 results on '"Cui, Xinyu"'

1. Electrical switching of Ising-superconducting nonreciprocity for quantum neuronal transistor

Author

Xiong, Junlin, Xie, Jiao, Cheng, Bin, Dai, Yudi, Cui, Xinyu, Wang, Lizheng, Liu, Zenglin, Zhou, Ji, Wang, Naizhou, Xu, Xianghan, Chen, Xianhui, Cheong, Sang-Wook, Liang, Shi-Jun, and Miao, Feng

Subjects
Condensed Matter - Mesoscale and Nanoscale Physics
Abstract

Nonreciprocal quantum transport effect is mainly governed by the symmetry breaking of the material systems and is gaining extensive attention in condensed matter physics. Realizing electrical switching of the polarity of the nonreciprocal transport without external magnetic field is essential to the development of nonreciprocal quantum devices. However, electrical switching of superconducting nonreciprocity remains yet to be achieved. Here, we report the observation of field-free electrical switching of nonreciprocal Ising superconductivity in Fe3GeTe2/NbSe2 van der Waals (vdW) heterostructure. By taking advantage of this electrically switchable superconducting nonreciprocity, we demonstrate a proof-of-concept nonreciprocal quantum neuronal transistor, which allows for implementing the XOR logic gate and faithfully emulating biological functionality of a cortical neuron in the brain. Our work provides a promising pathway to realize field-free and electrically switchable nonreciprocity of quantum transport and demonstrate its potential in exploring neuromorphic quantum devices with both functionality and performance beyond the traditional devices.

Published
2024
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5. Ask more, know better: Reinforce-Learned Prompt Questions for Decision Making with Large Language Models

Author

Yan, Xue, Song, Yan, Cui, Xinyu, Christianos, Filippos, Zhang, Haifeng, Mguni, David Henry, and Wang, Jun

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Computation and Language
Abstract

Large language models (LLMs) demonstrate their promise in tackling complicated practical challenges by combining action-based policies with chain of thought (CoT) reasoning. Having high-quality prompts on hand, however, is vital to the framework's effectiveness. Currently, these prompts are handcrafted utilising extensive human labor, resulting in CoT policies that frequently fail to generalise. Human intervention is also required to develop grounding functions that ensure low-level controllers appropriately process CoT reasoning. In this paper, we propose a comprehensive training framework for complex task-solving, incorporating human prior knowledge into the learning of action policies. To that purpose, we offer a new leader-follower bilevel framework that is capable of learning to ask relevant questions (prompts) and subsequently undertaking reasoning to guide the learning of actions. The prompt policy is employed to make introspective revisions based on historical findings, leading the CoT process to consider the anticipated goals and generate outputs that lead to decisive, high-performing actions. The action policy subsequently learns to comprehend and integrate the CoT outputs to take actions. Our empirical data reveal that our framework outperforms leading methods in $5$ decision-making tasks such as Overcooked and FourRoom.

Published
2023

9. Study on Innovative Packaging Design and Protection Performance of Fine Strawberries

Author

Cui, Xinyu, Huo, Lijiang, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Tan, Kay Chen, Series Editor, Song, Huihui, editor, Xu, Min, editor, Yang, Li, editor, Zhang, Linghao, editor, and Yan, Shu, editor

Published
2024
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10. Numerical Investigation of the Spreading Behavior of Inkjet Droplets on Rough Substrate Surface

Author

Wu, Qiumin, Ma, Yili, Li, Sa, Cui, Xinyu, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Tan, Kay Chen, Series Editor, Song, Huihui, editor, Xu, Min, editor, Yang, Li, editor, Zhang, Linghao, editor, and Yan, Shu, editor

Published
2024
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29. A deep learning method for solving high-order nonlinear soliton equation

Author

Cui, Shikun, Wang, Zhen, Han, Jiaqi, and Cui, Xinyu

Subjects
Nonlinear Sciences - Pattern Formation and Solitons
Abstract

We propose effective scheme of deep learning method for high-order nonlinear soliton equation and compare the activation function for high-order soliton equation. The neural network approximates the solution of the equation under the conditions of differential operator, initial condition and boundary condition. We apply this method to high-order nonlinear soliton equation, and verify its efficiency by solving the fourth-order Boussinesq equation and the fifth-order Korteweg de Vries equation. The results show that deep learning method can solve the high-order nonlinear soliton equation and reveal the interaction between solitons.

Published
2021
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35. The Influence of Wechat Article Advertisement on Consumers’ Purchase Intention on Wechat Public Platform : Taking the Fendi Ski Series as an Example

Author

Cui, Xinyu, Striełkowski, Wadim, Editor-in-Chief, Black, Jessica M., Series Editor, Butterfield, Stephen A., Series Editor, Chang, Chi-Cheng, Series Editor, Cheng, Jiuqing, Series Editor, Dumanig, Francisco Perlas, Series Editor, Al-Mabuk, Radhi, Series Editor, Scheper-Hughes, Nancy, Series Editor, Urban, Mathias, Series Editor, Webb, Stephen, Series Editor, Zhan, Zehui, editor, Chew, Fong Peng, editor, and Anthony, Marcus T., editor

Published
2023
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42. Three essays on hedge fund trading and stock market

Author

Cui, Xinyu, Kolokolova, Olga, and Kostakis, Alexandros

Subjects
Institutional Trading, Alpha, Market Beta, Market Anomalies, Quasi-Indexers, Hedge Funds, Flows, Trading Skills, Stock Manipulation
Abstract

This thesis aims to understanding the hedge fund trading behaviors, including stock picking, stock price manipulation, and their impact on stock market. It consists of three chapters, which are independent research papers. In the first chapter, we investigate who the counterparties of hedge fund equity trading are and what the economic reasons behind their trading decisions might be. We find that hedge funds earn positive ex-post abnormal returns and avoid negative abnormal returns on their equity portfolios when trading in the opposite direction of highly-diversified low-turnover institutional investors (quasi-indexers). This pattern is pronounced for short and long-term holding periods, as well as if trading is conditional on return predictability associated with well-known market anomalies. It seems to be driven by the preferences of quasi-indexers for liquid, high-market-beta stocks, which tend to exhibit low future abnormal returns. Trading against other institutional investors or non-institutions does not result in abnormal performance for hedge funds. In the second chapter, we analyze the equity trading of hedge funds facing substantial outflows. We find that hedge funds that trade against the flow display significant stock-picking skills. Stocks purchased by hedge funds facing large outflows deliver positive ex-post abnormal returns. Such 'revealed under pressure' stock-picking skills are higher after 2007-2008 financial crisis and for hedge funds with larger size, more illiquid assets, or stronger incentives to perform to build up a track record. We also find that hedge funds that engage in the trading against the flow have higher chances of survival over the consequent quarter. In the third chapter, we investigate the stock manipulation of hedge funds. We follow a research paper published in The Journal of Finance (Ben-David et al., 2013) presenting empirical evidence of stock price manipulation by hedge funds between 2000 and 2010. They show that stocks held by hedge funds exhibited positive daily abnormal returns and then reversals ('blips') at quarter end. These results are cross-sectionally robust: we replicate them using a different sample of hedge funds during the same time period. In the post-publications period from 2011 to 2018, however, we find no significant relation between hedge fund ownership and end-of-quarter stock returns, suggesting reduction in stock price manipulation by hedge funds post-publication. We is for first person and he/she is for third person throughout the thesis to indicate that three chapters are co-authored with my supervisor Olga Kolokolova (and with George Wang for the first chapter). The empirical analysis in all chapters is my own work, while we equally contributed with the co-authors to the development of the idea, discussion of methodology, and structuring of the papers.

Published
2021

48. Electrical switching of Ising-superconducting nonreciprocity for quantum neuronal transistor

Author

Xiong, Junlin, primary, Xie, Jiao, additional, Cheng, Bin, additional, Dai, Yudi, additional, Cui, Xinyu, additional, Wang, Lizheng, additional, Liu, Zenglin, additional, Zhou, Ji, additional, Wang, Naizhou, additional, Xu, Xianghan, additional, Chen, Xianhui, additional, Cheong, Sang-Wook, additional, Liang, Shi-Jun, additional, and Miao, Feng, additional

Published
2024
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