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3,192 results on '"Wu, Xiaoping"'

1. Ferroelectricity-Driven Metallicity and Magnetic Skyrmions in van der Waals Cr2Ge2Te6/Hf2Ge2Te6 Multiferroic Heterostructure

Author

Chen, Zheng, Hu, Hongliang, Zhang, Wenjun, Wu, Xiaoping, Li, Ping, and Song, Changsheng

Subjects
Condensed Matter - Materials Science, Physics - Computational Physics
Abstract

Two-dimensional (2D) multiferroic heterostructures present a promising platform for advanced spin devices by leveraging the coexisting ferromagnetic (FM) and ferroelectric (FE) orders. Through first-principles calculations and micromagnetic simulations, we reveal non-volatile control of metallicity and topological spin textures in the Cr2Ge2Te6/Hf2Ge2Te6(CGT/HGT) heterostructure. Notably, manipulating ferroelectric polarization in HGT significantly modulates the magnetic anisotropy energy (MAE) and Dzyaloshinskii-Moriya interaction (DMI) of CGT/HGT, reversing the easy magnetization axis from in-plane to out-of-plane. By analyzing the atomic-resolved SOC energy (\Delta Esoc), it is found that the cause of the change comes from the Fert-Levy mechanism. Additionally, this polarization control enables the creation and annihilation of bimerons and skyrmions, with interlayer sliding further altering magnetic ordering. Our findings offer valuable insights into magnetoelectric coupling and spin texture manipulation in 2D magnets, highlighting their potential for next-generation spintronic and memory devices., Comment: 9 pages,5 figures

Published
2024

2. Kangaroo: A Powerful Video-Language Model Supporting Long-context Video Input

Author

Liu, Jiajun, Wang, Yibing, Ma, Hanghang, Wu, Xiaoping, Ma, Xiaoqi, Wei, Xiaoming, Jiao, Jianbin, Wu, Enhua, and Hu, Jie

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence, Computer Science - Multimedia
Abstract

Rapid advancements have been made in extending Large Language Models (LLMs) to Large Multi-modal Models (LMMs). However, extending input modality of LLMs to video data remains a challenging endeavor, especially for long videos. Due to insufficient access to large-scale high-quality video data and the excessive compression of visual features, current methods exhibit limitations in effectively processing long videos. In this paper, we introduce Kangaroo, a powerful Video LMM aimed at addressing these challenges. Confronted with issue of inadequate training data, we develop a data curation system to build a large-scale dataset with high-quality annotations for vision-language pre-training and instruction tuning. In addition, we design a curriculum training pipeline with gradually increasing resolution and number of input frames to accommodate long videos. Evaluation results demonstrate that, with 8B parameters, Kangaroo achieves state-of-the-art performance across a variety of video understanding benchmarks while exhibiting competitive results on others. Particularly, on benchmarks specialized for long videos, Kangaroo excels some larger models with over 10B parameters and proprietary models.

Published
2024

4. 100daiy

Author

Dai, Yu-Ting, Chen, Zhongguang, Hu, Cheng-Lin, Ouyang, Shan, Huang, Xiao-Chen, Wu, Xiaoping, and Pensoft Publishers

Subjects
Conservation, glochidia, molecular systematics, morphological characters, taxonomy
Published
2024

8. Genome-wide association meta-analysis identifies five loci associated with postpartum hemorrhage

Author

Westergaard, David, Steinthorsdottir, Valgerdur, Stefansdottir, Lilja, Rohde, Palle Duun, Wu, Xiaoping, Geller, Frank, Tyrmi, Jaakko, Havulinna, Aki S., Solé-Navais, Pol, Flatley, Christopher, Ostrowski, Sisse Rye, Pedersen, Ole Birger, Erikstrup, Christian, Sørensen, Erik, Mikkelsen, Christina, Bruun, Mie Topholm, Aagaard Jensen, Bitten, Brodersen, Thorsten, Ullum, Henrik, Magnus, Per, Andreassen, Ole A., Njolstad, Pål R., Kolte, Astrid Marie, Krebs, Lone, Nyegaard, Mette, Hansen, Thomas Folkmann, Feenstra, Bjarke, Daly, Mark, Lindgren, Cecilia M., Thorleifsson, Gudmar, Stefansson, Olafur A., Sveinbjornsson, Gardar, Gudbjartsson, Daniel F., Thorsteinsdottir, Unnur, Banasik, Karina, Jacobsson, Bo, Laisk, Triin, Laivuori, Hannele, Stefansson, Kari, Brunak, Søren, and Nielsen, Henriette Svarre

Published
2024
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9. High-topological-number skyrmions and phase transition in two-dimensional frustrated $J_1$-$J_2$ magnets

Author

Hu, Hongliang, Shen, Zhong, Chen, Zheng, Wu, Xiaoping, Zhong, Tingting, and Song, Changsheng

Subjects
Physics - Computational Physics, Condensed Matter - Strongly Correlated Electrons
Abstract

With the rapidly expanded field of two-dimensional(2D) magnetic materials, the frustrated magnetic skyrmions are attracting growing interest recently. Here, based on hexagonal close-packed (HCP) lattice of $J_1$-$J_2$ Heisenberg spins model, we systematically investigate the frustrated skyrmions and phase transition by micromagnetic simulations and first-principles calculations. The results show that four spin phases of antiferromagnetic, labyrinth domain, skyrmion and ferromagnetic textures are determined by the identified ranges of $J_1$-$J_2$. Importantly, skyrmion phase with an increasing topological number ($Q$) covers a wider $J_1$-$J_2$ area. Then, the diameter of skyrmions can be tuned by the frustration strength ($|J_2/J_1|$) or external magnetic field. Besides, a phase transition from N$\acute{e}$el to Bloch type skyrmion is observed due to the change of the helicity with the variation of $|J_2/J_1|$. Furthermore, as increasing magnetic field, the skyrmions with high $Q$ ($\ge 3$) tend to split into the ones with $Q=1$, thereby achieving a lower systematic energy. Additionally, we find that the CoCl$_2$ monolayer satisfies the requirement of the frustrated $J_1$-$J_2$ magnet, and the related magnetic behaviors agree with the above conclusions. The frustration-induced skyrmions are stable without the manipulation of temperature and magnetic field. Our results may open a possible way toward spintronic applications based on High-topological-number and nanoscale topological spin textures of skyrmions., Comment: 7 pages, 5 figures

Published
2024

11. Classification of skyrmionic textures and extraction of Hamiltonian parameters via machine learning

Author

Feng, Dushuo, Guan, Zhihao, Wu, Xiaoping, Wu, Yan, and Song, Changsheng

Subjects
Condensed Matter - Mesoscale and Nanoscale Physics, Physics - Data Analysis, Statistics and Probability
Abstract

Classifying skyrmionic textures and extracting magnetic Hamiltonian parameters are fundamental and demanding endeavors within the field of two-dimensional (2D) spintronics. By using micromagnetic simulation and machine learning (ML) methods, we theoretically realize the recognition of nine skyrmionic textures and the mining of magnetic Hamiltonian parameters from massive spin texture images in 2D Heisenberg model. For textures classification, a deep neural network (DNN) trained according to transfer learning is proposed to distinguish nine different skyrmionic textures. For parameters extraction, based on the textures generated by different Heisenberg exchange stiffness (J), Dzyaloshinskii-Moriya strength (D), and anisotropy constant (K), we apply a multi-input single-output (MISO) deep learning model (handling with both images and parameters) and a support vector regression (SVR) model (dealing with Fourier features) to extract the parameters embedded in the spin textures. The models for classification and extraction both achieve great results with the accuracy of 98% (DNN),90% (MISO) and 80% (SVR). Importantly, via our ML methods, the skyrmionic textures with blurred phase boundaries can be effectively distinguished, and the concluded formation conditions of various skyrmionic textures, especially the skyrmion crystal, are consistent with previous reports. Besides, our models demonstrate the mapping relationship between spin texture images and magnetic parameters, which proves the feasibility of extracting microscopic mechanisms from experimental images and has guiding significance for the experiments of spintronics.

Published
2023

13. Genome-wide analyses of neonatal jaundice reveal a marked departure from adult bilirubin metabolism

Author

Solé-Navais, Pol, Juodakis, Julius, Ytterberg, Karin, Wu, Xiaoping, Bradfield, Jonathan P., Vaudel, Marc, LaBella, Abigail L., Helgeland, Øyvind, Flatley, Christopher, Geller, Frank, Finel, Moshe, Zhao, Mengqi, Lazarus, Philip, Hakonarson, Hakon, Magnus, Per, Andreassen, Ole A., Njølstad, Pål R., Grant, Struan F. A., Feenstra, Bjarke, Muglia, Louis J., Johansson, Stefan, Zhang, Ge, and Jacobsson, Bo

Published
2024
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18. The possible influence of third-order shim coils on gradient–magnet interactions: an inter-field and inter-site study

Author

Boulant, Nicolas, Le Ster, Caroline, Amadon, Alexis, Aubert, Guy, Beckett, Alexander, Belorgey, Jean, Bonnelye, Cédric, Bosch, Dario, Brunner, David Otto, Dilasser, Guillaume, Dubois, Olivier, Ehses, Philipp, Feinberg, David, Feizollah, Sajjad, Gras, Vincent, Gross, Simon, Guihard, Quentin, Lannou, Hervé, Le Bihan, Denis, Mauconduit, Franck, Molinié, Frédéric, Nunio, François, Pruessmann, Klaas, Quettier, Lionel, Scheffler, Klaus, Stöcker, Tony, Tardif, Christine, Ugurbil, Kamil, Vignaud, Alexandre, Vu, An, and Wu, Xiaoping

Published
2024
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23. Reducibility of the dispersive Camassa-Holm equation with unbounded perturbations

Author

Wu, Xiaoping, Fu, Ying, and Qu, Changzheng

Subjects
Mathematics - Analysis of PDEs, 35Q51, 37K55
Abstract

Considered herein is the reducibility of the quasi-periodically time dependent linear dynamical system with a diophantine frequency vector $\omega \in \mathcal{O}_0 \subset \mathbb{R}^{\nu}$. This system is derived from linearizing the dispersive Camassa-Holm equation with unbounded perturbations at a small amplitude quasi-periodic function. It is shown that there is a set $\mathcal{O}_{\infty} \subset \mathcal{O}_0$ of asymptotically full Lebesgue measure such that for any $\omega \in \mathcal{O}_{\infty}$, the system can be reduced to the one with constant coefficients by a quasi-periodic linear transformation. The strategy adopted in this paper consists of two steps: (a) A reduction based on the orders of the pseudo differential operators in the system which conjugates the linearized operator to a one with constant coefficients up to a small remainder; (b) A perturbative reducibility scheme which completely diagonalizes the remainder of the previous step. The main difficulties in the reducibility we need to tackle come from the operator $J=(1-\partial_{xx})^{-1}\partial_{x}$, which induces the symplectic structure of the dispersive Camassa-Holm equation., Comment: 41pages, submitted to Journal of Functional Analysis

Published
2022

24. A Study on Low Carbon Supply Chain Emission Reduction Decision Considering Corporate Social Responsibility

Author

Wu, Xiaoping, Zhao, Shixian, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, 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, Hirche, Sandra, 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, Tan, Kay Chen, Series Editor, and Easa, Said, editor

Published
2024
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27. Genome-wide association study of placental weight identifies distinct and shared genetic influences between placental and fetal growth

Author

Beaumont, Robin N., Flatley, Christopher, Vaudel, Marc, Wu, Xiaoping, Chen, Jing, Moen, Gunn-Helen, Skotte, Line, Helgeland, Øyvind, Solé-Navais, Pol, Banasik, Karina, Albiñana, Clara, Ronkainen, Justiina, Fadista, João, Stinson, Sara Elizabeth, Trajanoska, Katerina, Wang, Carol A., Westergaard, David, Srinivasan, Sundararajan, Sánchez-Soriano, Carlos, Bilbao, Jose Ramon, Allard, Catherine, Groleau, Marika, Kuulasmaa, Teemu, Leirer, Daniel J., White, Frédérique, Jacques, Pierre-Étienne, Cheng, Haoxiang, Hao, Ke, Andreassen, Ole A., Åsvold, Bjørn Olav, Atalay, Mustafa, Bhatta, Laxmi, Bouchard, Luigi, Brumpton, Ben Michael, Brunak, Søren, Bybjerg-Grauholm, Jonas, Ebbing, Cathrine, Elliott, Paul, Engelbrechtsen, Line, Erikstrup, Christian, Estarlich, Marisa, Franks, Stephen, Gaillard, Romy, Geller, Frank, Grove, Jakob, Hougaard, David M., Kajantie, Eero, Morgen, Camilla S., Nohr, Ellen A., Nyegaard, Mette, Palmer, Colin N. A., Pedersen, Ole Birger, Rivadeneira, Fernando, Sebert, Sylvain, Shields, Beverley M., Stoltenberg, Camilla, Surakka, Ida, Thørner, Lise Wegner, Ullum, Henrik, Vaarasmaki, Marja, Vilhjalmsson, Bjarni J., Willer, Cristen J., Lakka, Timo A., Gybel-Brask, Dorte, Bustamante, Mariona, Hansen, Torben, Pearson, Ewan R., Reynolds, Rebecca M., Ostrowski, Sisse R., Pennell, Craig E., Jaddoe, Vincent W. V., Felix, Janine F., Hattersley, Andrew T., Melbye, Mads, Lawlor, Deborah A., Hveem, Kristian, Werge, Thomas, Nielsen, Henriette Svarre, Magnus, Per, Evans, David M., Jacobsson, Bo, Järvelin, Marjo-Riitta, Zhang, Ge, Hivert, Marie-France, Johansson, Stefan, Freathy, Rachel M., Feenstra, Bjarke, and Njølstad, Pål R.

Published
2023
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28. Target localization method based on semi-definite relaxation with frequency difference of arrival

Author

MAO Xiaoting and WU Xiaoping

Subjects
frequency measurement, frequency difference of arrival, semi-definite relaxation, semi-definite programming, static target positioning, Telecommunication, TK5101-6720, Technology
Abstract

The use of frequency measurements to achieve target positioning is characterized by low cost and high reliability. Using only frequency difference of arrival (FDOA) measurements, a precise localization method for static target position was proposed. To address the highly nonlinear of the established frequency measurement equation, it was transformed into a pseudo-linear equation in matrix form by introducing auxiliary variables. Then the non-convex weighted least squares (WLS) problem was relaxed into a semi-definite programming (SDP) problem by using the semi-definite relaxation (SDR) method, so as to further accurately estimate the position of unknown variables. Finally, the root mean square error (RMSE) of the proposed method was analyzed to verify its performance. The simulation results show that the performance of the adopted semi-definite relaxation method is able to reach the Cramer-Rao lower bound (CRLB) at lower Gaussian noise levels and the algorithm is highly robust to geometry. In addition, its RMSE performance is better than that of the two-stage weighted least square (TSWLS) method for a smaller number of sensors.

Published
2024
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41. Global prevalence and characteristics of infections and clinical outcomes in hospitalised patients with cirrhosis: a prospective cohort study for the CLEARED Consortium

Author

Kumar, Shiva, Gadano, Adrián, Marciano, Sebastián, Tudehope, Fiona, Prudence, Alexander, Gibson, Robert, Zekry, Amany, Doyle, Adam, Si, Hooi Ling, Kim, Yu Sung, Gofton, Cameron, Riordan, Stephen, MacQuillan, Gerry, Al-Tamimi, Hala, Michalczuk, Matheus, Farias, Alberto, Zitelli, Patricia, Pereira, Gustavo, Victor, Livia, Bera, Chinmay, Faisal, Nabiha, Dahiya, Monica, Tandon, Puneeta, Lohoues, Marie Jeanne, Lah, Ponan Claude Regis, Benítez, Carlos, Arrese, Marco, Guan, Jing, Xian, Yongchao, Zhu, Chuanwu, Wang, Yingling, Su, Man, Su, Minghua, Wang, Xinrui, Gao, Yanhang, Peng, Feng, Jiang, Yongfang, Zhao, Caiyan, Wang, Wei, Yin, Dedong, Wang, Lei, Lu, Mingqin, Cai, Yijing, Guo, Feng, Wang, Xiaozhong, Zhang, Ningping, Zhang, Wanqin, Dong, Fuchen, Li, Hai, Liu, Jing, Zheng, Xin, Tang, Hong, Yan, Libo, Xu, Bin, Wei, Linlin, Xu, Zhen, Gao, Zhiliang, Gao, Haibing, Lin, Minghua, Rao, Qunfang, Wu, Xiaoping, Li, Beiling, Chen, Jinjun, Liu, Chenghai, Zhang, Yanyun, Deng, Huan, Hu, Peng, Wang, Jian, Li, Jie, Bettinger, Dominik, Schultheiß, Michael, Belimi, Hibat Allah, Debzi, Nabil, Mostafa, Alaa, Fouad, Yasser, Fisseha, Henok, Venkatachalapathy, Suresh Vasan, Aravinthan, Aloysious D, Rajoriya, Neil, Faulkes, Rosemary, Leith, Damien, Forrest, Ewan, Danielle, Adebayo, Kennedy, James, Yung, Diana, Alexopoulou, Alexandra, Mani, Iliana, Fung, James, Katchman, Helena, Rabinowich, Liane, Jhaveri, Ajay, Nagral, Aabha, Kulkarni, Anand, Sharma, Mithun, Sarin, Shiv K, Goel, Ashish, Eapen, C E, Duseja, Ajay, Gandotra, Akash, Saraya, Anoop, yegurla, Jatin, Jothimani, Dinesh, Rela, Mohammad, Arora, Anil, Kumar, Ashish, Roy, Akash, Dhiman, R K, Anand, A C, Praharaj, Dibyalochan, Cabrera, Araceli Bravo, Hueso, Sarai Gonzalez, Hérnandez, José Luis Pérez, Gutierrez, Oscar Morales, Ramos-Pineda, Abraham, Zazueta, Godolfino Miranda, Barradas, Mauricio Castillo, Made, Lilian Torres, Velazquez, Rene Male, Félix-Tellez, Francisco, Velasco, José Antonio Velarde-Ruiz, Cordova-Gallardo, Jacqueline, Rajaram, Ruveena, Afendi, Nik Arsyad Nik Muhamad, Nyam, David P, Okeke, Edith N, Allam, Dalia, Patwa, Yashwi Haresh Kumar, Tan, Hiang Keat, Lun, Liou Wei, Ho, Wei Ling Danielle, Wong, Yu Jun, Thanapirom, Kessarin, Teerasarntipan, Tongluk, Haktaniyan, Busra, Gunduz, Feyza, Aslan, Rahmi, Yildirim, Abdullah Emre, Barutcu, Sezgin, Uysal, Alper, Karasu, Zeki, Ucbilek, Enver, Kosay, Tolga, Dinçer, Dinç, Adanır, Haydar, Albhaisi, Somaya, Fallahadeh, Mohammad Amin, Asrani, Sumeet, Reddy, K Rajender, Shaw, Jawaid, Vargas, Hugo, Filipek, Natalia, Biggins, Scott W, Thuluvath, Paul, Sheshadri, Somya, Wegermann, Kara, Kappus, Matthew, Keaveny, Andrew, Rojo, Andres, Negrillo, Ricardo Cabello, Verna, Elizabeth, Cao, Zhujun, Wong, Florence, Choudhury, Ashok K, Kamath, Patrick S, Topazian, Mark, Torre, Aldo, Hayes, Peter C, George, Jacob, Idilman, Ramazan, Seto, Wai-Kay, Desalegn, Hailemichael, Alvares-da-Silva, Mario Reis, Bush, Brian J, Thacker, Leroy R, Xie, Qing, and Bajaj, Jasmohan S

Published
2024
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