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185 results on '"Chen, Yuetian"'

2. 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

3. 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

5. 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

20. Enhancing Sentiment Analysis Results through Outlier Detection Optimization

Author

Chen, Yuetian, Si, Mei, Chen, Yuetian, and Si, Mei

Abstract

When dealing with text data containing subjective labels like speaker emotions, inaccuracies or discrepancies among labelers are not uncommon. Such discrepancies can significantly affect the performance of machine learning algorithms. This study investigates the potential of identifying and addressing outliers in text data with subjective labels, aiming to enhance classification outcomes. We utilized the Deep SVDD algorithm, a one-class classification method, to detect outliers in nine text-based emotion and sentiment analysis datasets. By employing both a small-sized language model (DistilBERT base model with 66 million parameters) and non-deep learning machine learning algorithms (decision tree, KNN, Logistic Regression, and LDA) as the classifier, our findings suggest that the removal of outliers can lead to enhanced results in most cases. Additionally, as outliers in such datasets are not necessarily unlearnable, we experienced utilizing a large language model -- DeBERTa v3 large with 131 million parameters, which can capture very complex patterns in data. We continued to observe performance enhancements across multiple datasets., Comment: 11 pages, 5 figures

Published
2023

27. Decoupling engineering of formamidinium-cesium perovskites for efficient photovoltaics

Author

Chen, Haoran, Wang, Yong, Fan, Yingping, Chen, Yuetian, Miao, Yanfeng, Qin, Zhixiao, Wang, Xingtao, Liu, Xiaomin, Zhu, Kaicheng, Gao, Feng, Zhao, Yixin, Chen, Haoran, Wang, Yong, Fan, Yingping, Chen, Yuetian, Miao, Yanfeng, Qin, Zhixiao, Wang, Xingtao, Liu, Xiaomin, Zhu, Kaicheng, Gao, Feng, and Zhao, Yixin

Abstract

Sequential Cs incorporation strategy is developed to decouple crystallization of FACs perovskite with reduced electron-phonon coupling, resulting in highly stable FACs tri-iodide perovskite photovoltaics with record efficiency. Although pure formamidinium iodide perovskite (FAPbI(3)) possesses an optimal gap for photovoltaics, their poor phase stability limits the long-term operational stability of the devices. A promising approach to enhance their phase stability is to incorporate cesium into FAPbI(3). However, state-of-the-art formamidinium-cesium (FA-Cs) iodide perovskites demonstrate much worse efficiency compared with FAPbI(3), limited by the different crystallization dynamics of formamidinium and cesium, which result in poor composition homogeneity and high trap densities. We develop a novel strategy of crystallization decoupling processes of formamidinium and cesium via a sequential cesium incorporation approach. As such, we obtain highly reproducible, highly efficient and stable solar cells based on FA(1)(-)(x)Cs(x)PbI(3) (x = 0.05-0.16) films with uniform composition distribution in the nanoscale and low defect densities. We also revealed a new stabilization mechanism for Cs doping to stabilize FAPbI(3), i.e. the incorporation of Cs into FAPbI(3) significantly reduces the electron-phonon coupling strength to suppress ionic migration, thereby improving the stability of FA-Cs-based devices., Funding Agencies|National Natural Science Foundation of China [22025505]; Program of Shanghai Academic/Technology Research Leader [20XD1422200]; Swedish Government Strategic Research Area in Materials Science on Functional Materials at Linkoping University [2009-00971]

Published
2022
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46. 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, Kei Yau, Hoi, Potter, Oscar, Staples, Gregory O, Furuki, Kenichiro, Frenkel, Ruth, Hu, Yunli, Socic, Zoran, Zhang, Peiqing, Altmann, Friedrich, Grunwald-Grube, Clemens, Shao, Chun, Zaia, Joseph, Evers, Waltraud, Pengelley, Stuart, Detlev, Suckau, Wiechmann, Anja, Resemann, Anja, Jabs, Wolfgang, Beck, Alain, Froehlich, John W, Huang, Chuncui, Yan, Li, Yaming, Liu, 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, Stambuk, Jerko, Lauc, Gordan, Li, Xu, Wang, Peng George, Bock, Andreas, Hennig, Rene, Rapp, Erdmann, Creskey, Marybeth, Cyr, Terry D, Nakano, Miyako, Sugiyama, Taiki, Leung, Pui-King Amy, Link-Lenczowski, Pawel, Jaworek, Jolanta, Yoo, Jong Shin, Kim, Sa-Rang, Suh, Soo-Kyung, de Haan, Noortje, Falck, David, Lageveen-Kammeijer, Guinevere S. M., Wuhrer, Manfred, Emery, Robert J, Liew, Li Phing, Royle, Louise, Urbanowicz, Paulina A, Packer, Nicolle H, Song, Xiaomin, Everest-Dass, Arun, Lattova, Erika, Cajic, Samanta, Alagesan, Kathirvel, Kolarich, Daniel, Kasali, Toyin, Lindo, Viv, Chen, Yuetian, Goswami, Kudrat, Gau, Brian, Amunugama, Ravi, Jones, Richard, Stroop, Corné J M, Kato, Koichi, Yagi, Hirokazu, Kondo, Sachiko, Yuen, C T, Harazono, Akira, Shi, Xiafeng, Magnelli, Paula, Kasper, Brian T, Mahai, Lara, Harvey, David J, O'Flaherty, Roisin, Rudd, Pauline M., Saldova, Radka, Hecht, Elizabeth S, Muddiman, David C, Kang, Jichao, Bhoskar, Prachi, Menard, Daniele, Saati, Andrew, Merle, Christine, Mast, Steven, Tep, Sam, Truong, Jennie, Nishikaze, Takashi, Sekiya, Sadanori, Shafer, Aaron, Funaoka, Sohei, Toyoda, Masaaki, de Vreugd, Peter, Caron, Cassie, Pradhan, Pralima, Tan, Niclas Chiang, Mechref, Yehia, Patil, Sachin, Rohrer, Jeffrey S, Chakrabarti, Ranjan, Dadke, Disha, Lahori, Mohammedazam, Zou, Chunxia, Cairo, Christopher, Reiz, Béla, Whittal, Randy M, Lebrilla, Carlito B, Wu, Lauren, Guttman, Andras, Szigeti, Marton, Kremkow, Benjamin G, Lee, Kevin H, Sihlbom, Carina, Adamczyk, Barbara, Jin, Chunsheng, Karlsson, Niclas G, Omros, Jessica, Larson, Goran, Nilsson, Jonas, Meyer, Bernd, Alena, Wiegandt, Komatsu, Emy, Perreault, Helene, Bodnar, Edward D, Said, Nassur, Francois, Yannis-Nicolas, Leize-Wagner, Emmanuelle, Maier, Sandra, Zeck, Anne, Heck, Albert J R, Yang, Yang, Haselberg, Rob, Qing Yu, Ying, Alley, William, Leone, Joseph W, Yuan, Hua, Stein, Stephen E, De Leoz, Maria Lorna A., Duewer, David L, Fung, Adam, Liu, Lily, Kei Yau, Hoi, Potter, Oscar, Staples, Gregory O, Furuki, Kenichiro, Frenkel, Ruth, Hu, Yunli, Socic, Zoran, Zhang, Peiqing, Altmann, Friedrich, Grunwald-Grube, Clemens, Shao, Chun, Zaia, Joseph, Evers, Waltraud, Pengelley, Stuart, Detlev, Suckau, Wiechmann, Anja, Resemann, Anja, Jabs, Wolfgang, Beck, Alain, Froehlich, John W, Huang, Chuncui, Yan, Li, Yaming, Liu, 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, Stambuk, Jerko, Lauc, Gordan, Li, Xu, Wang, Peng George, Bock, Andreas, Hennig, Rene, Rapp, Erdmann, Creskey, Marybeth, Cyr, Terry D, Nakano, Miyako, Sugiyama, Taiki, Leung, Pui-King Amy, Link-Lenczowski, Pawel, Jaworek, Jolanta, Yoo, Jong Shin, Kim, Sa-Rang, Suh, Soo-Kyung, de Haan, Noortje, Falck, David, Lageveen-Kammeijer, Guinevere S. M., Wuhrer, Manfred, Emery, Robert J, Liew, Li Phing, Royle, Louise, Urbanowicz, Paulina A, Packer, Nicolle H, Song, Xiaomin, Everest-Dass, Arun, Lattova, Erika, Cajic, Samanta, Alagesan, Kathirvel, Kolarich, Daniel, Kasali, Toyin, Lindo, Viv, Chen, Yuetian, Goswami, Kudrat, Gau, Brian, Amunugama, Ravi, Jones, Richard, Stroop, Corné J M, Kato, Koichi, Yagi, Hirokazu, Kondo, Sachiko, Yuen, C T, Harazono, Akira, Shi, Xiafeng, Magnelli, Paula, Kasper, Brian T, Mahai, Lara, Harvey, David J, O'Flaherty, Roisin, Rudd, Pauline M., Saldova, Radka, Hecht, Elizabeth S, Muddiman, David C, Kang, Jichao, Bhoskar, Prachi, Menard, Daniele, Saati, Andrew, Merle, Christine, Mast, Steven, Tep, Sam, Truong, Jennie, Nishikaze, Takashi, Sekiya, Sadanori, Shafer, Aaron, Funaoka, Sohei, Toyoda, Masaaki, de Vreugd, Peter, Caron, Cassie, Pradhan, Pralima, Tan, Niclas Chiang, Mechref, Yehia, Patil, Sachin, Rohrer, Jeffrey S, Chakrabarti, Ranjan, Dadke, Disha, Lahori, Mohammedazam, Zou, Chunxia, Cairo, Christopher, Reiz, Béla, Whittal, Randy M, Lebrilla, Carlito B, Wu, Lauren, Guttman, Andras, Szigeti, Marton, Kremkow, Benjamin G, Lee, Kevin H, Sihlbom, Carina, Adamczyk, Barbara, Jin, Chunsheng, Karlsson, Niclas G, Omros, Jessica, Larson, Goran, Nilsson, Jonas, Meyer, Bernd, Alena, Wiegandt, Komatsu, Emy, Perreault, Helene, Bodnar, Edward D, Said, Nassur, Francois, Yannis-Nicolas, Leize-Wagner, Emmanuelle, Maier, Sandra, Zeck, Anne, Heck, Albert J R, Yang, Yang, Haselberg, Rob, Qing Yu, Ying, Alley, William, Leone, Joseph W, Yuan, Hua, and Stein, Stephen E

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

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