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10,529 results on '"Huang, Yun"'

102. Opportunities and barriers in omics-based biomarker discovery for steatotic liver diseases

Author

Hansen, Torben, Mann, Matthias, Matthijnssens, Jelle, Krag, Aleksander, Bork, Peer, Arumugam, Manimozhiyan, Trebicka, Jonel, Karsdal, Morten, Anastasiadou, Ema, Israelsen, Hans, Melberg, Hans Olav, Legido-Quigley, Cristina, Thiele, Maja, Villesen, Ida Falk, Niu, Lili, Johansen, Stine, Sulek, Karolina, Nishijima, Suguru, Espen, Lore Van, Keller, Marisa, Israelsen, Mads, Suvitaival, Tommi, Zawadzki, Andressa de, Juel, Helene Bæk, Brol, Maximilian Joseph, Stinson, Sara Elizabeth, Huang, Yun, Silva, Maria Camilla Alvarez, Kuhn, Michael, Leeming, Diana Julie, Dalgaard, Louise Torp, and Jensen, Lars Juhl

Published
2024
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103. The interplay between birth weight and obesity in determining childhood and adolescent cardiometabolic risk

Author

Stinson, Sara Elizabeth, Kromann Reim, Pauline, Lund, Morten Asp Vonsild, Lausten-Thomsen, Ulrik, Aas Holm, Louise, Huang, Yun, Brøns, Charlotte, Vaag, Allan, Thiele, Maja, Krag, Aleksander, Fonvig, Cilius Esmann, Grarup, Niels, Pedersen, Oluf, Christiansen, Michael, Ängquist, Lars, Sørensen, Thorkild I.A., Holm, Jens-Christian, and Hansen, Torben

Published
2024
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130. Exploring Collaborative Caption Editing to Augment Video-Based Learning

Author

Bhavya, Bhavya, Chen, Si, Zhang, Zhilin, Li, Wenting, Zhai, Chengxiang, Angrave, Lawrence, and Huang, Yun

Abstract

Captions play a major role in making educational videos accessible to all and are known to benefit a wide range of learners. However, many educational videos either do not have captions or have inaccurate captions. Prior work has shown the benefits of using crowdsourcing to obtain accurate captions in a cost-efficient way, though there is a lack of understanding of how learners edit captions of educational videos either individually or collaboratively. In this work, we conducted a user study where 58 learners (in a course of 387 learners) participated in the editing of captions in 89 lecture videos that were generated by Automatic Speech Recognition (ASR) technologies. For each video, different learners conducted two rounds of editing. Based on editing logs, we created a taxonomy of errors in educational video captions (e.g., Discipline-Specific, General, Equations). From the interviews, we identified individual and collaborative error editing strategies. We then further demonstrated the feasibility of applying machine learning models to assist learners in editing. Our work provides practical implications for advancing video-based learning and for educational video caption editing.

Published
2022
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131. Certification of Genuine Multipartite Entanglement with General and Robust Device-independent Witnesses

Author

Zhang, Chao, Zhang, Wen-Hao, Sekatski, Pavel, Bancal, Jean-Daniel, Zwerger, Michael, Yin, Peng, Li, Gong-Chu, Peng, Xing-Xiang, Chen, Lei, Han, Yong-Jian, Xu, Jin-Shi, Huang, Yun-Feng, Chen, Geng, Li, Chuan-Feng, and Guo, Guang-Can

Subjects
Quantum Physics
Abstract

Genuine multipartite entanglement represents the strongest type of entanglement, which is an essential resource for quantum information processing. Standard methods to detect genuine multipartite entanglement, e.g., entanglement witnesses, state tomography, or quantum state verification, require full knowledge of the Hilbert space dimension and precise calibration of measurement devices, which are usually difficult to acquire in an experiment. The most radical way to overcome these problems is to detect entanglement solely based on the Bell-like correlations of measurement outcomes collected in the experiment, namely, device-independently (DI). However, it is difficult to certify genuine entanglement of practical multipartite states in this way, and even more difficult to quantify it, due to the difficulty to identify optimal multipartite Bell inequalities and protocols tolerant to state impurity. In this work, we explore a general and robust DI method which can be applied to various realistic multipartite quantum state in arbitrary finite dimension, while merely relying on bipartite Bell inequalities. Our method allows us both to certify the presence of genuine multipartite entanglement and to quantify it. Several important classes of entangled states are tested with this method, leading to the detection of genuinely entangled states. We also certify genuine multipartite entanglement in weakly-entangled GHZ states, thus showing that the method applies equally well to less standard states.

Published
2021
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132. Three-dimensional Stacking of Canted Antiferromagnetism and Pseudospin Current in Undoped Sr$_2$IrO$_4$: Symmetry Analysis and Microscopic Model Realization

Author

Huang, Yun-Peng, Dong, Jin-Wei, Wang, Ziqiang, and Zhou, Sen

Subjects
Condensed Matter - Strongly Correlated Electrons
Abstract

Recent optical second-harmonic generation experiments observed unexpected broken spatial symmetries in the undoped spin-orbit Mott insulator Sr$_2$IrO$_4$, leading to intensive debates on the nature of its ground state. We propose that it is a canted antiferromagnetism with a hidden order of circulating staggered pseudospin current. Symmetry analysis shows that a proper $c$-axis stacking of the canted antiferromagnetism and the pseudospin current lead to a magnetoelectric coexistence state that breaks the two-fold rotation, inversion, and time-reversal symmetries, consistent with experimental observations. We construct a three-dimensional Hubbard model with spin-orbit coupling for the five localized 5$d$ Wannier orbitals centered at Ir sites, and demonstrate the microscopic realization of the desired coexistence state in a wide range of band parameters via a combination of self-consistent Hartree-Fock and variational calculations., Comment: 10 pages, 5 figures

Published
2021
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