Search Results - "Liu, Mia"

Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics by Iiyama, Yutaro, Cerminara, Gianluca, Gupta, Abhijay, Kieseler, Jan, Loncar, Vladimir, Pierini, Maurizio, Qasim, Shah Rukh, Rieger, Marcel, Summers, Sioni, Van Onsem, Gerrit, Wozniak, Kinga Anna, Ngadiuba, Jennifer, Di Guglielmo, Giuseppe, Duarte, Javier, Harris, Philip, Rankin, Dylan, Jindariani, Sergo, Liu, Mia, Pedro, Kevin, Tran, Nhan, Kreinar, Edward, Wu, Zhenbin

“…Graph neural networks have been shown to achieve excellent performance for several crucial tasks in particle physics, such as charged particle tracking, jet…”
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Editorial: Efficient AI in particle physics and astrophysics by Duarte, Javier, Liu, Mia, Ngadiuba, Jennifer, Cuoco, Elena, Thaler, Jesse

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The U.S. CMS HL-LHC R D Strategic Plan by Gutsche Oliver, Bose Tulika, Votava Margaret, Mason David, Melo Andrew, Liu Mia, Hufnagel Dirk, Gray Lindsey, Hildreth Mike, Holzman Burt, Lannon Kevin, Sehrish Saba, Sperka David, Letts James, Bauerdick Lothar, Bloom Kenneth

“…The HL-LHC run is anticipated to start at the end of this decade and will pose a significant challenge for the scale of the HEP software and computing…”
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The “Emulative” Portraits: Lang Jingshan’s Photography of Zhang Daqian by Yinxing Liu, Mia

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Comparison of Sports-Oriented Sweat Prediction Equation Performances During Running: 2072 Board #228 May 30 2:00 PM - 3:30 PM by Sollanek, Kurt J., Liu, Mia, Carballo, Andrei, Cheuvront, Samuel N.

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Fast convolutional neural networks on FPGAs with hls4ml by Aarrestad, Thea, Loncar, Vladimir, Ghielmetti, Nicolò, Pierini, Maurizio, Summers, Sioni, Ngadiuba, Jennifer, Petersson, Christoffer, Linander, Hampus, Iiyama, Yutaro, Di Guglielmo, Giuseppe, Duarte, Javier, Harris, Philip, Rankin, Dylan, Jindariani, Sergo, Pedro, Kevin, Tran, Nhan, Liu, Mia, Kreinar, Edward, Wu, Zhenbin, Hoang, Duc

“…Abstract We introduce an automated tool for deploying ultra low-latency, low-power deep neural networks with convolutional layers on field-programmable gate…”
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The Allegorical Landscape: Lang Jingshan's Photography in Context by Liu, Mia Yinxing

“…This paper examines Lang Jingshan's landscape photography in its historical and political contexts. Tracing Lang's oeuvre from Shanghai to Chongqing to Taiwan,…”
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Compressing deep neural networks on FPGAs to binary and ternary precision with hls4ml by Ngadiuba, Jennifer, Loncar, Vladimir, Pierini, Maurizio, Summers, Sioni, Di Guglielmo, Giuseppe, Duarte, Javier, Harris, Philip, Rankin, Dylan, Jindariani, Sergo, Liu, Mia, Pedro, Kevin, Tran, Nhan, Kreinar, Edward, Sagear, Sheila, Wu, Zhenbin, Hoang, Duc

“…We present the implementation of binary and ternary neural networks in the hls4ml library, designed to automatically convert deep neural network models to…”
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FPGA-Accelerated Machine Learning Inference as a Service for Particle Physics Computing by Duarte, Javier, Harris, Philip, Hauck, Scott, Holzman, Burt, Hsu, Shih-Chieh, Jindariani, Sergo, Khan, Suffian, Kreis, Benjamin, Lee, Brian, Liu, Mia, Lončar, Vladimir, Ngadiuba, Jennifer, Pedro, Kevin, Perez, Brandon, Pierini, Maurizio, Rankin, Dylan, Tran, Nhan, Trahms, Matthew, Tsaris, Aristeidis, Versteeg, Colin, Way, Ted W., Werran, Dustin, Wu, Zhenbin

“…Large-scale particle physics experiments face challenging demands for high-throughput computing resources both now and in the future. New heterogeneous…”
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Applications and Techniques for Fast Machine Learning in Science by Deiana, Allison McCarn, Tran, Nhan, Agar, Joshua, Blott, Michaela, Di Guglielmo, Giuseppe, Duarte, Javier, Harris, Philip, Hauck, Scott, Liu, Mia, Neubauer, Mark S, Ngadiuba, Jennifer, Ogrenci-Memik, Seda, Pierini, Maurizio, Aarrestad, Thea, Bähr, Steffen, Becker, Jürgen, Berthold, Anne-Sophie, Bonventre, Richard J, Müller Bravo, Tomás E, Diefenthaler, Markus, Dong, Zhen, Fritzsche, Nick, Gholami, Amir, Govorkova, Ekaterina, Guo, Dongning, Hazelwood, Kyle J, Herwig, Christian, Khan, Babar, Kim, Sehoon, Klijnsma, Thomas, Liu, Yaling, Lo, Kin Ho, Nguyen, Tri, Pezzullo, Gianantonio, Rasoulinezhad, Seyedramin, Rivera, Ryan A, Scholberg, Kate, Selig, Justin, Sen, Sougata, Strukov, Dmitri, Tang, William, Thais, Savannah, Unger, Kai Lukas, Vilalta, Ricardo, von Krosigk, Belina, Wang, Shen, Warburton, Thomas K

“…In this community review report, we discuss applications and techniques for machine learning (ML) in science-the concept of integrating powerful ML methods…”
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Abstract 2860: Impact of hemolysis on multi-omic pancreatic cancer biomarker discovery: De-risking precision medicine biomarker development by Kiebish, Michael A., Shah, Punit, Bussberg, Valerie, Tolstikov, Vladimir, Searfoss, Rick, Ofori-Mensa, Kennedy, Grund, Eric M., Darkwah, Abena, Chen, Emily Y., Greenwood, Bennett, Ntoso, Ellaine Adu, Rodrigues, Leonardo, Liu, Mia, Granger, Elder, Bountra, Chas, Sarangarajan, Rangaprasad, Moser, A J., Narain, Niven R.

“…Abstract Biomarker analysis is critically dependent on the quality of biofluid or tissue samples obtained from human research studies. Although proteomic,…”
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The U.S. CMS HL-LHC R&D Strategic Plan by Gutsche, Oliver, Bose, Tulika, Votava, Margaret, Mason, David, Melo, Andrew, Liu, Mia, Hufnagel, Dirk, Gray, Lindsey, Hildreth, Mike, Holzman, Burt, Lannon, Kevin, Sehrish, Saba, Sperka, David, Letts, James, Bauerdick, Lothar, Bloom, Kenneth

“…The HL-LHC run is anticipated to start at the end of this decade and will pose a significant challenge for the scale of the HEP software and computing…”
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GPU coprocessors as a service for deep learning inference in high energy physics by Krupa, Jeffrey, Lin, Kelvin, Acosta Flechas, Maria, Dinsmore, Jack, Duarte, Javier, Harris, Philip, Hauck, Scott, Holzman, Burt, Hsu, Shih-Chieh, Klijnsma, Thomas, Liu, Mia, Pedro, Kevin, Rankin, Dylan, Suaysom, Natchanon, Trahms, Matt, Tran, Nhan

“…Abstract In the next decade, the demands for computing in large scientific experiments are expected to grow tremendously. During the same time period, CPU…”
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Corrigendum: Applications and techniques for fast machine learning in science by Deiana, Allison McCarn, Tran, Nhan, Agar, Joshua, Blott, Michaela, Di Guglielmo, Giuseppe, Duarte, Javier, Harris, Philip, Hauck, Scott, Liu, Mia, Neubauer, Mark S., Ngadiuba, Jennifer, Ogrenci-Memik, Seda, Pierini, Maurizio, Aarrestad, Thea, Bähr, Steffen, Becker, Jürgen, Berthold, Anne-Sophie, Bonventre, Richard J., Müller Bravo, Tomás E., Diefenthaler, Markus, Dong, Zhen, Fritzsche, Nick, Gholami, Amir, Govorkova, Ekaterina, Guo, Dongning, Hazelwood, Kyle J., Herwig, Christian, Khan, Babar, Kim, Sehoon, Klijnsma, Thomas, Liu, Yaling, Lo, Kin Ho, Nguyen, Tri, Pezzullo, Gianantonio, Rasoulinezhad, Seyedramin, Rivera, Ryan A., Scholberg, Kate, Selig, Justin, Sen, Sougata, Strukov, Dmitri, Tang, William, Thais, Savannah, Unger, Kai Lukas, Vilalta, Ricardo, von Krosigk, Belina, Wang, Shen, Warburton, Thomas K.

“…[This corrects the article DOI: 10.3389/fdata.2022.787421.]…”
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Locality-Sensitive Hashing-Based Efficient Point Transformer with Applications in High-Energy Physics by Miao, Siqi, Lu, Zhiyuan, Liu, Mia, Duarte, Javier, Li, Pan

“…This study introduces a novel transformer model optimized for large-scale point cloud processing in scientific domains such as high-energy physics (HEP) and…”
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Interpretable Geometric Deep Learning via Learnable Randomness Injection by Miao, Siqi, Luo, Yunan, Liu, Mia, Li, Pan

“…Point cloud data is ubiquitous in scientific fields. Recently, geometric deep learning (GDL) has been widely applied to solve prediction tasks with such data…”
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The literati lenses: Wenren landscape in Chinese cinema by Liu, Yinxing

“…This dissertation probes into the Chinese cinematic appropriation of landscape aesthetics, particularly the established motifs and themes within the literati…”
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FPGAs-as-a-Service Toolkit (FaaST) by Rankin, Dylan, Krupa, Jeffrey, Harris, Philip, Flechas, Maria Acosta, Holzman, Burt, Klijnsma, Thomas, Pedro, Kevin, Tran, Nhan, Hauck, Scott, Hsu, Shih-Chieh, Trahms, Matthew, Lin, Kelvin, Lou, Yu, Ho, Ta-Wei, Duarte, Javier, Liu, Mia

“…Computing needs for high energy physics are already intensive and are expected to increase drastically in the coming years. In this context, heterogeneous…”
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The U.S. CMS HL-LHC R&D Strategic Plan by Gutsche, Oliver, Bose, Tulika, Votava, Margaret, Mason, David, Melo, Andrew, Liu, Mia, Hufnagel, Dirk, Gray, Lindsey, Hildreth, Mike, Holzman, Burt, Lannon, Kevin, Sehrish, Saba, Sperka, David, Letts, James, Bauerdick, Lothar, Bloom, Kenneth

“…The HL-LHC run is anticipated to start at the end of this decade and will pose a significant challenge for the scale of the HEP software and computing…”
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Data Science and Machine Learning in Education by Benelli, Gabriele, Chen, Thomas Y, Duarte, Javier, Feickert, Matthew, Graham, Matthew, Gray, Lindsey, Hackett, Dan, Harris, Phil, Hsu, Shih-Chieh, Kasieczka, Gregor, Khoda, Elham E, Komm, Matthias, Liu, Mia, Neubauer, Mark S, Norberg, Scarlet, Perloff, Alexx, Rieger, Marcel, Savard, Claire, Terao, Kazuhiro, Thais, Savannah, Roy, Avik, Vlimant, Jean-Roch, Chachamis, Grigorios

“…The growing role of data science (DS) and machine learning (ML) in high-energy physics (HEP) is well established and pertinent given the complex detectors,…”
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