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15 results on '"Chen, Yuetian"'

1. Prompt to GPT-3: Step-by-Step Thinking Instructions for Humor Generation

Author

Chen, Yuetian, Shi, Bowen, and Si, Mei

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

Artificial intelligence has made significant progress in natural language processing, with models like GPT-3 demonstrating impressive capabilities. However, these models still have limitations when it comes to complex tasks that require an understanding of the user, such as mastering human comedy writing strategies. This paper explores humor generation using GPT-3 by modeling human comedy writing theory and leveraging step-by-step thinking instructions. In addition, we explore the role of cognitive distance in creating humor., Comment: 5 pages, 1 figure; ICCC '23 preprint

Published
2023

2. Visual Story Generation Based on Emotion and Keywords

Author

Chen, Yuetian, Li, Ruohua, Shi, Bowen, Liu, Peiru, and Si, Mei

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

Automated visual story generation aims to produce stories with corresponding illustrations that exhibit coherence, progression, and adherence to characters' emotional development. This work proposes a story generation pipeline to co-create visual stories with the users. The pipeline allows the user to control events and emotions on the generated content. The pipeline includes two parts: narrative and image generation. For narrative generation, the system generates the next sentence using user-specified keywords and emotion labels. For image generation, diffusion models are used to create a visually appealing image corresponding to each generated sentence. Further, object recognition is applied to the generated images to allow objects in these images to be mentioned in future story development., Comment: 8 pages, 8 figures, AIIDE INT 2022

Published
2023

3. NIST Interlaboratory Study on Glycosylation Analysis of Monoclonal Antibodies: Comparison of Results from Diverse Analytical Methods*

Author

De Leoz, Maria Lorna A, Duewer, David L, Fung, Adam, Liu, Lily, Yau, Hoi Kei, Potter, Oscar, Staples, Gregory O, Furuki, Kenichiro, Frenkel, Ruth, Hu, Yunli, Sosic, Zoran, Zhang, Peiqing, Altmann, Friedrich, Grunwald-Grube, Clemens, Shao, Chun, Zaia, Joseph, Evers, Waltraud, Pengelley, Stuart, Suckau, Detlev, Wiechmann, Anja, Resemann, Anja, Jabs, Wolfgang, Beck, Alain, Froehlich, John W, Huang, Chuncui, Li, Yan, Liu, Yaming, Sun, Shiwei, Wang, Yaojun, Seo, Youngsuk, An, Hyun Joo, Reichardt, Niels-Christian, Ruiz, Juan Echevarria, Archer-Hartmann, Stephanie, Azadi, Parastoo, Bell, Len, Lakos, Zsuzsanna, An, Yanming, Cipollo, John F, Pucic-Bakovic, Maja, Štambuk, Jerko, Lauc, Gordan, Li, Xu, Wang, Peng George, Bock, Andreas, Hennig, René, Rapp, Erdmann, Creskey, Marybeth, Cyr, Terry D, Nakano, Miyako, Sugiyama, Taiki, Leung, Pui-King Amy, Link-Lenczowski, Paweł, Jaworek, Jolanta, Yang, Shuang, Zhang, Hui, Kelly, Tim, Klapoetke, Song, Cao, Rui, Kim, Jin Young, Lee, Hyun Kyoung, Lee, Ju Yeon, Yoo, Jong Shin, Kim, Sa-Rang, Suh, Soo-Kyung, de Haan, Noortje, Falck, David, Lageveen-Kammeijer, Guinevere SM, Wuhrer, Manfred, Emery, Robert J, Kozak, Radoslaw P, Liew, Li Phing, Royle, Louise, Urbanowicz, Paulina A, Packer, Nicolle H, Song, Xiaomin, Everest-Dass, Arun, Lattová, Erika, Cajic, Samanta, Alagesan, Kathirvel, Kolarich, Daniel, Kasali, Toyin, Lindo, Viv, Chen, Yuetian, Goswami, Kudrat, Gau, Brian, Amunugama, Ravi, Jones, Richard, Stroop, Corné JM, Kato, Koichi, Yagi, Hirokazu, Kondo, Sachiko, Yuen, CT, Harazono, Akira, Shi, Xiaofeng, Magnelli, Paula E, Kasper, Brian T, Mahal, Lara, Harvey, David J, and O'Flaherty, Roisin

Subjects
Immunization, Antibodies, Monoclonal, Biological Products, Biopharmaceutics, Glycomics, Glycopeptides, Glycosylation, Humans, Laboratories, Polysaccharides, Protein Processing, Post-Translational, Proteomics, mass spectrometry, fluorescence, glycosylation, glycoproteins, glycan, glycopeptide, interlaboratory study, NISTmAb, reference antibody, Biochemistry & Molecular Biology
Abstract

Glycosylation is a topic of intense current interest in the development of biopharmaceuticals because it is related to drug safety and efficacy. This work describes results of an interlaboratory study on the glycosylation of the Primary Sample (PS) of NISTmAb, a monoclonal antibody reference material. Seventy-six laboratories from industry, university, research, government, and hospital sectors in Europe, North America, Asia, and Australia submitted a total of 103 reports on glycan distributions. The principal objective of this study was to report and compare results for the full range of analytical methods presently used in the glycosylation analysis of mAbs. Therefore, participation was unrestricted, with laboratories choosing their own measurement techniques. Protein glycosylation was determined in various ways, including at the level of intact mAb, protein fragments, glycopeptides, or released glycans, using a wide variety of methods for derivatization, separation, identification, and quantification. Consequently, the diversity of results was enormous, with the number of glycan compositions identified by each laboratory ranging from 4 to 48. In total, one hundred sixteen glycan compositions were reported, of which 57 compositions could be assigned consensus abundance values. These consensus medians provide community-derived values for NISTmAb PS. Agreement with the consensus medians did not depend on the specific method or laboratory type. The study provides a view of the current state-of-the-art for biologic glycosylation measurement and suggests a clear need for harmonization of glycosylation analysis methods.

Published
2020

13. In situ growth of ultra-thin perovskitoid layer to stabilize and passivate MAPbI3for efficient and stable photovoltaics

Author

Miao, Yanfeng, Wang, Xingtao, Zhang, Haijuan, Zhang, Taiyang, Wei, Ning, Liu, Xiaomin, Chen, Yuetian, Chen, Jie, and Zhao, Yixin

Abstract

•An ultra-thin tetraethylammonium based perovskitoid layer was developed to stabilize MAPbI3 perovskite.•The crystal structure and growth orientation of tetraethylammonium based perovskitoid was investigated.•The perovskitoid layer can inhibit ion migration and passivate trap states.•A champion efficiency of 21.79% with enhanced stability was achieved for MAPbI3perovskite.

Published
2021
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14. Ultrafast and high-throughput N-glycan analysis for monoclonal antibodies

Author

Yang, Xiaoyu, primary, Kim, Sunnie Myung, additional, Ruzanski, Richard, additional, Chen, Yuetian, additional, Moses, Sarath, additional, Ling, Wai Lam, additional, Li, Xiaojuan, additional, Wang, Shao-Chun, additional, Li, Huijuan, additional, Ambrogelly, Alexandre, additional, Richardson, Daisy, additional, and Shameem, Mohammed, additional

Published
2016
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15. Solution Chemistry Quasi-Epitaxial Growth of Atomic CaTiO3Perovskite Layers to Stabilize and Passivate TiO2Photoelectrodes for Efficient Water Splitting

Author

Wei, Ning, Chen, Yuetian, Wang, Xingtao, Kan, Miao, Zhang, Taiyang, and Zhao, Yixin

Abstract

Perovskite oxides with unique crystal structures and high defect tolerance are promising as atomic surface passivation layers for photoelectrodes for efficient and stable water splitting. However, controllably depositing and crystalizing perovskite-type metal oxides at the atomic level remains challenging, as they usually crystalize at higher temperatures than regular metal oxides. Here, we report a mild solution chemistry approach for the quasi-epitaxial growth of an atomic CaTiO3perovskite layer on rutile TiO2nanorod arrays. The high-temperature crystallization of CaTiO3perovskite is overcome by a sequential hydrothermal conversion of the atomic amorphous TiOxlayer to CaTiO3perovskite. The atomic quasi-epitaxial CaTiO3layer passivated TiO2nanorod arrays exhibit more efficient interface charge transfer and high photoelectrochemical performance for water splitting. Such a mild solution-based approach for the quasi-epitaxial growth of atomic metal oxide perovskite layers could be a promising strategy for both fabricating atomic perovskite layers and improving their photoelectrochemical properties.

Published
2022
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