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693 results on '"Huang, Wei-Chun"'

1. Amplitude-Ensemble Quantum-Inspired Tabu Search Algorithm for Solving 0/1 Knapsack Problems

Author

Tseng, Kuo-Chun, Lai, Wei-Chieh, Chen, I-Chia, Hsiao, Yun-Hsiang, Chiue, Jr-Yu, and Huang, Wei-Chun

Subjects
Quantum Physics, Computer Science - Neural and Evolutionary Computing
Abstract

In this paper, an improved version of QTS (Quantum-inspired Tabu Search) has been proposed, which enhances the utilization of population information, called "amplitude-ensemble" QTS (AE-QTS). This makes AE-QTS more similar to the real quantum search algorithm, Grover Search Algorithm, in abstract concept, while keeping the simplicity of the algorithm. Later, we demonstrate the AE-QTS on the classical combinatorial optimization 0/1 knapsack problem. Experimental results show that the AE-QTS outperforms other algorithms, including the QTS, by at least an average of 20% in all cases and even by 30% in some cases. Even as the problem complexity increases, the quality of the solutions found by our method remains superior to that of the QTS. These results prove that our method has better search performance., Comment: 7 pages, 7 figures

Published
2023

2. Can deep convolutional networks explain the semantic structure that humans see in photographs?

Author

Suresh, Siddharth, Huang, Wei-Chun, Mukherjee, Kushin, and Rogers, Timothy T

Abstract

In visual cognitive neuroscience, there are two main theories about the function of the ventral visual system. One suggests that it serves to classify objects (H1); the other suggests that it generates intermediate representations from which people can generate verbal descriptions, actions, and other kinds of information (H2). To adjudicate these, we trained two deep convolutional AlexNet models on 330,000 images belonging to 86 classes, representing the intersection of Ecoset images and the semantic norms collected by the Leuven group. One model was trained to produce category labels (H1) , the other to generate all of an item’s semantic features (H2). The two models learned very different representational geometries throughout the network. The representations acquired by the feature-generating model aligned better with human-perceived similarities amongst images, and better predicted human judgments in a triadic comparison task. The results thus support H2.

Published
2024

3. Toward Transparent Sequence Models with Model-Based Tree Markov Model

Author

Hsu, Chan, Huang, Wei-Chun, Wu, Jun-Ting, Li, Chih-Yuan, and Kang, Yihuang

Subjects
Computer Science - Machine Learning, Computer Science - Information Retrieval
Abstract

In this study, we address the interpretability issue in complex, black-box Machine Learning models applied to sequence data. We introduce the Model-Based tree Hidden Semi-Markov Model (MOB-HSMM), an inherently interpretable model aimed at detecting high mortality risk events and discovering hidden patterns associated with the mortality risk in Intensive Care Units (ICU). This model leverages knowledge distilled from Deep Neural Networks (DNN) to enhance predictive performance while offering clear explanations. Our experimental results indicate the improved performance of Model-Based trees (MOB trees) via employing LSTM for learning sequential patterns, which are then transferred to MOB trees. Integrating MOB trees with the Hidden Semi-Markov Model (HSMM) in the MOB-HSMM enables uncovering potential and explainable sequences using available information., Comment: Published as a workshop paper at IEEE MIPR 2023

Published
2023

4. Conceptual structure coheres in human cognition but not in large language models

Author

Suresh, Siddharth, Mukherjee, Kushin, Yu, Xizheng, Huang, Wei-Chun, Padua, Lisa, and Rogers, Timothy T

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

Neural network models of language have long been used as a tool for developing hypotheses about conceptual representation in the mind and brain. For many years, such use involved extracting vector-space representations of words and using distances among these to predict or understand human behavior in various semantic tasks. Contemporary large language models (LLMs), however, make it possible to interrogate the latent structure of conceptual representations using experimental methods nearly identical to those commonly used with human participants. The current work utilizes three common techniques borrowed from cognitive psychology to estimate and compare the structure of concepts in humans and a suite of LLMs. In humans, we show that conceptual structure is robust to differences in culture, language, and method of estimation. Structures estimated from LLM behavior, while individually fairly consistent with those estimated from human behavior, vary much more depending upon the particular task used to generate responses--across tasks, estimates of conceptual structure from the very same model cohere less with one another than do human structure estimates. These results highlight an important difference between contemporary LLMs and human cognition, with implications for understanding some fundamental limitations of contemporary machine language.

Published
2023

8. Exercise capacity-hemodynamics mismatch in elderly patients with pulmonary hypertension: A nationwide multicenter study from Taiwan Society of Cardiology Pulmonary Hypertension Registry (TAIPANS)

Author

Chen, Chang-Ying, Mei-Tzu, Wang, Sung, Shih-Hsien, Wu, Yih-Jer, Hsu, Chih-Hsin, Ho, Wan-Jing, Lin, Yen-Hung, Liu, Wei-Shin, Liu, Ju-Chi, Kao, Yung-Ta, Wu, Wen-Shiann, Wu, Chun-Hsien, Lei, Meng-Huan, Chen, Yu-Wei, Chen-Yu, Chien, Chiu, Yu-Wei, Dai, Zen-Kong, Lin, Tsung-Hsien, Lin, Lin, Chung, Cheng-Chih, Chung, Chang-Min, Huang, Sung-Hao, Cheng, Chin-Chang, Wu, Yen-Wen, Chao, Ting-Hsing, Hwang, Juey-Jen, Jia-Yin Hou, Charles, and Huang, Wei-Chun

Published
2024
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28. The long-term outcome of chronic thromboembolic pulmonary hypertension: Pulmonary endarterectomy and balloon pulmonary angioplasty

Author

Yang, Kuo-Ming, primary, Wang, Mei-Tzu, additional, Tao, Chi-Wei, additional, Wu, Yih-Jer, additional, Hsu, Chih-Hsin, additional, Liao, Wei-Chih, additional, Hsu, Hsao-Hsun, additional, Lin, Meng-Chih, additional, Tsai, Fu-Ting, additional, Fu, Yun-Ju, additional, Kuo, Feng-Yu, additional, Cheng, Chin-Chang, additional, Hung, Cheng-Chung, additional, Wang, Hao-Chien, additional, Yu, Chong-Jen, additional, and Huang, Wei-Chun, additional

Published
2024
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32. Riociguat treatment in patients with chronic thromboembolic pulmonary hypertension: Final safety data from the EXPERT registry

Author

Caneva, Jorge, Tuhay, Graciela, Diez, Mirta, Talavera, Maria Lujan, Acosta, Adriana, Vulcano, Norberto, Bosio, Martin, Maldonado, Lorena, Deleo, Sabino, Melatini, Luciano, Keogh, Anne, Kotlyar, Eugene, Feenstra, John, Dwyer, Nathan, Adams, Heath, Stevens, Wendy, Steele, Peter, Proudman, Susanna, Minson, Robert, Reeves, Glenn, Lavender, Melanie, Ng, Benjamin, Mackenzie, Michele, Barry, Lisa, Gruenberger, Margarethe, Huber, Charlotte, Lang, Irene, Tilea, Ioana, Sadushi-Kolici, Roela, Löffler-Ragg, Judith, Feistmantl, Lisa-Theresa, Evrard, Patrick, Louis, Renaud, Guiot, Julien, Naldi, Marco, De Pauw, Michel, Mehta, Sanjay, Camacho, Rafael Conde, Tovar, Patricia Parada, Londoño, Alejandro, Campo, Felipe, Garcia, Paula, Lema, Camila, Orozco-Levi, Mauricio, Martinez, William, Gomez, Juan Esteban, Nielsen-Kudsk, Jens Erik, Mellemkjaer, Soren, Anton, Ly, Altraja, Alan, Vihinen, Tapani, Vasankari, Tuija, Sitbon, Olivier, Cottin, Vincent, Têtu, Laurent, Noël-Savina, Elise, Shearman, Nicole, Tayler, Susanne, Olzik, Ilona, Kulka, Christine, Grimminger, Jan, Simon, Marcel, Nolde, Anna, Oqueka, Tim, Harbaum, Lars, Egenlauf, Benjamin, Ewert, Ralf, Schulz, Christian, Regotta, Sabine, Kramer, Tilmann, Knoop-Busch, Susanne, Gerhardt, Felix, Konstantinides, Stavros, Pitsiou, Georgia, Stanopoulos, Ioannis, Sourla, Evdokia, Mouratoglou, Sofia, Karvounis, Haralambos, Pappas, Athanasios, Georgopoulos, Dimitrios, Fanaridis, Michail, Mitrouska, Ioanna, Michalis, Lampros, Pappas, Konstantinos, Kotsia, Anna, Gaine, Sean, Vizza, Carmine Dario, Manzi, Giovanna, Poscia, Roberto, Badagliacca, Roberto, Agostoni, Piergiuseppe, Bruno, Noemi, Farina, Stefania, D'Alto, Michele, Argiento, Paola, Correra, Anna, Di Marco, Giovanni Maria, Cresci, Chiara, Vannucchi, Vieri, Torricelli, Elena, Garcea, Alessio, Pesci, Alberto, Sardella, Luca, Paciocco, Giuseppe, Pane, Federico, D'Armini, Andrea Maria, Pin, Maurizio, Grazioli, Valentina, Massola, Giulia, Sciortino, Antonio, Prediletto, Renato, Bauleo, Carolina, Airò, Edoardo, Ndreu, Rudina, Pavlickova, Ivana, Lunardi, Claudio, Mulè, Massimiliano, Farruggio, Silvia, Costa, Serena, Galgano, Giuseppe, Petruzzi, Mario, De Luca, Anna, Lombardi, Francesco, Roncon, Loris, Conte, Luca, Picariello, Claudio, Wirtz, Gil, Alexandre, Myriam, Vonk-Noordegraaf, A., Boogaard, H., Mager, J., Reesink, H., van den Toorn, Leon M., Boomars, Karin, Andreassen, Arne K., Castro, Graça, Tania, Gonçalves, Baptista, Rui, Marinho, António, Shiang, Teresa, Oliveira, Ana, Coutinho, Daniel, Sousa, Joana, Loureiro, Maria José, Repolho, Débora, Martins Jesus, Susana Maria, Capinha, Marta, Agostinho, João, Cardoso, Tania, Rocha, Andreia, Espinha, Mafalda, Ivanov, Kyundyul Ivanovich, Alexeeva, Dalyana Eduardovna, Batalina, Marina Vadimovna, Hegya, Daria Viktorovna, Zvereva, Tatyana Nikolaevna, Avdeev, Sergey Nikolaevich, Tsareva, Natalia Anatolievna, Galyavich, Albert Sarvatovich, Nikolaevich, Bykov Aleksander, Filippov, Evgeny Vladimirovich, Yakovleva, Olga Eduardovna, Pavlova, Olga Borisovna, Skripkina, Elena Sergeevna, Martynyuk, Tamila Vitalievna, Bukatova, Irina Fedorovna, Tregubova, Anna Viktorovna, Platonov, Dmitry Yurievich, Kolomeytseva, Tatyana Mikhaylovna, Al Dalaan, Abdullah, Abdelsayed, Abeer Abeer, Weheba, Ihab, Saleemi, Sarferaz, Sakkijha, Hussam, Bohacekova, Marcela, Valkovicova, Tatiana, Farkasova, Iveta, Quezada, Carlos Andres, Piccari, Lucilla, Blanco, Isabel, Sebastian, Laura, Roman, Antonio, Lopez, Manuel, Otero, Remedios, Elias, Teresa, Jara, Luis, Asencio, Isabel, Arjona, Josefa Jiménez, Almagro, Raúl Menor, Cárdenas, Salvador López, García, Salvador Alcaraz, Rodríguez, Patricia Villanueva, Lopez, Raquel, Garcia, Alberto, Avilés, Francisco Fernandez, De La Pava, Sebastian, Yotti, Raquel, Peñate, Gregorio Pérez, Marrero, Fernando León, Cifrián Martínez, José Manuel, Martinez-Meñaca, Amaya, Alonso, Lecue Pilar, Rozas, Sonia Fernandez, Fernandez, David Iturbe, Cuesta, Victor Mora, Söderberg, Stefan, Bartfay, Sven-Erik, Rundqvist, Bengt, Alfetlawi, Monthir, Wodlin, Peter, Schwarz, Esther Irene, Speich, Rudolf, Lador, Frédéric, Rochat, Thierry, Gasche-Soccal, Paola, Hsu, Chih-Hsin, Lin, Tsung-Hsien, Su, Ho-Ming, Lai, Wen-Ter, Chu, Chun Yuan, Hsu, Po-Chao, Voon, Wen-Chol, Yen, Hsueh-Wei, Yih-Jer Wu, Jacob, Wu, Shu-Hao, Huang, Wen-Pin, Fong, Man-Cai, Huang, Chien-Lung, Kuo, Ping-Hung, Lin, Yen-Hung, Lin, Jiunn-Lee, Hung, Chi-Sheng, Wu, Cho-Kai, Sung, Shih-Hsien, Huang, Wei-Chun, Cheng, Chin-Chang, Kuo, Shu-Hung, Wang, Wen-Hwa, Ho, Wan-Jing, Hsu, Tsu-Shiu, Mutlu, Bülent, Atas, Halil, Ongen, Gul, Un, Zeynep, Okumus, Gulfer, Hanta, Ismail, Corris, Paul, Peacock, Andrew, Church, Colin, Toshner, Mark, Newnham, Michael, Ghofrani, Hossein-Ardeschir, Gomez Sanchez, Miguel-Angel, Humbert, Marc, Pittrow, David, Simonneau, Gérald, Gall, Henning, Grünig, Ekkehard, Klose, Hans, Halank, Michael, Langleben, David, Snijder, Repke J., Escribano Subias, Pilar, Mielniczuk, Lisa M., Lange, Tobias J., Vachiéry, Jean-Luc, Wirtz, Hubert, Helmersen, Douglas S., Tsangaris, Iraklis, Barberá, Joan A., Pepke-Zaba, Joanna, Boonstra, Anco, Rosenkranz, Stephan, Ulrich, Silvia, Steringer-Mascherbauer, Regina, Delcroix, Marion, Jansa, Pavel, Šimková, Iveta, Giannakoulas, George, Klotsche, Jens, Williams, Evgenia, Meier, Christian, and Hoeper, Marius M.

Published
2021
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33. Riociguat treatment in patients with pulmonary arterial hypertension: Final safety data from the EXPERT registry

Author

Caneva, Jorge, Tuhay, Graciela, Diez, Mirta, Talavera, Maria Lujan, Acosta, Adriana, Vulcano, Norberto, Bosio, Martin, Maldonado, Lorena, Deleo, Sabino, Melatini, Luciano, Keogh, Anne, Kotlyar, Eugene, Feenstra, John, Dwyer, Nathan, Adams, Heath, Stevens, Wendy, Steele, Peter, Proudman, Susanna, Minson, Robert, Reeves, Glenn, Lavender, Melanie, Ng, Benjamin, Mackenzie, Michele, Barry, Lisa, Gruenberger, Margarethe, Huber, Charlotte, Lang, Irene, Tilea, Ioana, Sadushi-Kolici, Roela, Löffler-Ragg, Judith, Feistmantl, Lisa-Theresa, Evrard, Patrick, Guiot, Julien, Naldi, Marco, De Pauw, Michel, Louis, Renaud, Mehta, Sanjay, Camacho, Rafael Conde, Tovar, Patricia Parada, Londoño, Alejandro, Campo, Felipe, Garcia, Paula, Lema, Camila, Orozco-Levi, Mauricio, Martinez, William, Gomez, Juan Esteban, Nielsen-Kudsk, Jens Erik, Mellemkjaer, Soren, Anton, Ly, Altraja, Alan, Vihinen, Tapani, Vasankari, Tuija, Sitbon, Olivier, Cottin, Vincent, Têtu, Laurent, Noël-Savina, Elise, Shearman, Nicole, Tayler, Susanne, Olzik, Ilona, Kulka, Christine, Grimminger, Jan, Simon, Marcel, Nolde, Anna, Oqueka, Tim, Harbaum, Lars, Egenlauf, Benjamin, Ewert, Ralf, Schulz, Christian, Regotta, Sabine, Kramer, Tilmann, Knoop-Busch, Susanne, Gerhardt, Felix, Konstantinides, Stavros, Pitsiou, Georgia, Stanopoulos, Ioannis, Sourla, Evdokia, Mouratoglou, Sofia, Karvounis, Haralambos, Pappas, Athanasios, Mitrouska, Ioanna, Georgopoulos, Dimitrios, Fanaridis, Michail, Michalis, Lampros, Pappas, Konstantinos, Kotsia, Anna, Gaine, Sean, Vizza, Carmine Dario, Manzi, Giovanna, Poscia, Roberto, Badagliacca, Roberto, Agostoni, Piergiuseppe, Bruno, Noemi, Farina, Stefania, D'Alto, Michele, Argiento, Paola, Correra, Anna, Di Marco, Giovanni Maria, Cresci, Chiara, Vannucchi, Vieri, Torricelli, Elena, Garcea, Alessio, Pesci, Alberto, Sardella, Luca, Paciocco, Giuseppe, Pane, Federico, D'Armini, Andrea Maria, Pin, Maurizio, Grazioli, Valentina, Massola, Giulia, Sciortino, Antonio, Prediletto, Renato, Bauleo, Carolina, Airò, Edoardo, Ndreu, Rudina, Pavlickova, Ivana, Lunardi, Claudio, Farruggio, Silvia, Costa, Serena, Mulè, Massimiliano, Galgano, Giuseppe, Petruzzi, Mario, De Luca, Anna, Lombardi, Francesco, Roncon, Loris, Conte, Luca, Picariello, Claudio, Wirtz, Gil, Alexandre, Myriam, Vonk-Noordegraaf, A., Boogaard, H., Mager, J., Reesink, H., van den Toorn, Leon M., Boomars, Karin, Andreassen, Arne K., Castro, Graça, Tania, Gonçalves, Baptista, Rui, Marinho, António, Shiang, Teresa, Oliveira, Ana, Coutinho, Daniel, Sousa, Joana, Loureiro, Maria José, Repolho, Débora, Martins Jesus, Susana Maria, Capinha, Marta, Agostinho, João, Cardoso, Tania, Rocha, Andreia, Espinha, Mafalda, Ivanov, Kyundyul Ivanovich, Alexeeva, Dalyana Eduardovna, Batalina, Marina Vadimovna, Hegya, Daria Viktorovna, Zvereva, Tatyana Nikolaevna, Avdeev, Sergey Nikolaevich, Tsareva, Natalia Anatolievna, Galyavich, Albert Sarvatovich, Nikolaevich, Bykov Aleksander, Filippov, Evgeny Vladimirovich, Yakovleva, Olga Eduardovna, Pavlova, Olga Borisovna, Skripkina, Elena Sergeevna, Martynyuk, Tamila Vitalievna, Bukatova, Irina Fedorovna, Tregubova, Anna Viktorovna, Platonov, Dmitry Yurievich, Kolomeytseva, Tatyana Mikhaylovna, Al Dalaan, Abdullah, Abdelsayed, Abeer Abeer, Weheba, Ihab, Saleemi, Sarferaz, Sakkijha, Hussam, Bohacekova, Marcela, Valkovicova, Tatiana, Farkasova, Iveta, Quezada, Carlos Andres, Piccari, Lucilla, Blanco, Isabel, Sebastian, Laura, Roman, Antonio, Lopez, Manuel, Otero, Remedios, Elias, Teresa, Jara, Luis, Asencio, Isabel, Arjona, Josefa Jiménez, Almagro, Raúl Menor, Cárdenas, Salvador López, García, Salvador Alcaraz, Rodríguez, Patricia Villanueva, Lopez, Raquel, Garcia, Alberto, Avilés, Francisco Fernandez, De La Pava, Sebastian, Yotti, Raquel, Peñate, Gregorio Pérez, Marrero, Fernando León, Cifrián Martínez, José Manuel, Martinez-Meñaca, Amaya, Alonso, Lecue Pilar, Rozas, Sonia Fernandez, Fernandez, David Iturbe, Cuesta, Victor Mora, Söderberg, Stefan, Bartfay, Sven-Erik, Rundqvist, Bengt, Alfetlawi, Monthir, Wodlin, Peter, Schwarz, Esther Irene, Speich, Rudolf, Lador, Frédéric, Rochat, Thierry, Gasche-Soccal, Paola, Hsu, Chih-Hsin, Lin, Tsung-Hsien, Su, Ho-Ming, Lai, Wen-Ter, Chu, Chun Yuan, Hsu, Po-Chao, Voon, Wen-Chol, Yen, Hsueh-Wei, Yih-Jer Wu, Jacob, Wu, Shu-Hao, Huang, Wen-Pin, Fong, Man-Cai, Huang, Chien-Lung, Kuo, Ping-Hung, Lin, Yen-Hung, Lin, Jiunn-Lee, Hung, Chi-Sheng, Wu, Cho-Kai, Sung, Shih-Hsien, Huang, Wei-Chun, Cheng, Chin-Chang, Kuo, Shu-Hung, Wang, Wen-Hwa, Ho, Wan-Jing, Hsu, Tsu-Shiu, Mutlu, Bülent, Atas, Halil, Ongen, Gul, Un, Zeynep, Okumus, Gulfer, Hanta, Ismail, Corris, Paul, Peacock, Andrew, Church, Colin, Toshner, Mark, Newnham, Michael, Hoeper, Marius M., Gomez Sanchez, Miguel-Angel, Humbert, Marc, Pittrow, David, Simonneau, Gérald, Gall, Henning, Grünig, Ekkehard, Klose, Hans, Halank, Michael, Langleben, David, Snijder, Repke J., Escribano Subias, Pilar, Mielniczuk, Lisa M., Lange, Tobias J., Vachiéry, Jean-Luc, Wirtz, Hubert, Helmersen, Douglas S., Tsangaris, Iraklis, Barberà, Joan A., Pepke-Zaba, Joanna, Boonstra, Anco, Rosenkranz, Stephan, Ulrich, Silvia, Steringer-Mascherbauer, Regina, Delcroix, Marion, Jansa, Pavel, Šimková, Iveta, Giannakoulas, George, Klotsche, Jens, Williams, Evgenia, Meier, Christian, and Ghofrani, Hossein-Ardeschir

Published
2021
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42. IsaB Inhibits Autophagic Flux to Promote Host Transmission of Methicillin-Resistant Staphylococcus aureus

Author

Liu, Pei-Feng, Cheng, Jin-Shiung, Sy, Cheng-Len, Huang, Wei-Chun, Yang, Hsiu-Chen, Gallo, Richard L, Huang, Chun-Ming, and Shu, Chih-Wen

Subjects
Vaccine Related, Prevention, Biodefense, Emerging Infectious Diseases, Antimicrobial Resistance, Genetics, Infectious Diseases, Aetiology, 2.1 Biological and endogenous factors, 2.2 Factors relating to the physical environment, Infection, Animals, Antigens, Bacterial, Autophagy, Cell Survival, Cross Infection, Disease Models, Animal, Female, Methicillin-Resistant Staphylococcus aureus, Mice, Mice, Inbred ICR, Random Allocation, Sensitivity and Specificity, Staphylococcus aureus, Virulence Factors, Clinical Sciences, Oncology and Carcinogenesis, Dermatology & Venereal Diseases
Abstract

Methicillin-resistant Staphylococcus aureus (MRSA) has emerged as a major nosocomial pathogen that is widespread in both health-care facilities and in the community at large, as a result of direct host-to-host transmission. Several virulence factors are associated with pathogen transmission to naive hosts. Immunodominant surface antigen B (IsaB) is a virulence factor that helps Staphylococcus aureus to evade the host defense system. However, the mechanism of IsaB on host transmissibility remains unclear. We found that IsaB expression was elevated in transmissible MRSA. Wild-type isaB strains inhibited autophagic flux to promote bacterial survival and elicit inflammation in THP-1 cells and mouse skin. MRSA isolates with increased IsaB expression showed decreased autophagic flux, and the MRSA isolate with the lowest IsaB expression showed increased autophagic flux. In addition, recombinant IsaB rescued the virulence of the isaB deletion strain and increased the group A streptococcus (GAS) virulence in vivo. Together, these results reveal that IsaB diminishes autophagic flux, thereby allowing MRSA to evade host degradation. These findings suggest that IsaB is a suitable target for preventing or treating MRSA infection.

Published
2015

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