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- Bokui Shen
aka: William B. Shen
Stanford University, CA, USA - William Wu Shen
- William F. Shen
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Publication search results
found 554 matches
- 2024
- Guangqiang Xie, Lihai Wang, Roger A. Williams, Yaoxiang Li, Ping Zhang, Sheng Gu:
Segmentation of wood CT images for internal defects detection based on CNN: A comparative study. Comput. Electron. Agric. 224: 109244 (2024) - William S. Welling, Yanyan Sheng, Michelle M. Zhu:
CUDA-aware MPI implementation of Gibbs sampling for an IRT model. Clust. Comput. 27(2): 1821-1830 (2024) - Allison McCarn Deiana, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier M. Duarte, Philip C. Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci-Memik, Maurizio Pierini, Thea Aarrestad, Steffen Bähr, Jürgen Becker, Anne-Sophie Berthold, Richard J. Bonventre, Tomás E. Müller-Bravo, Markus Diefenthaler, Zhen Dong, Nick Fritzsche, Amir Gholami, Ekaterina Govorkova, Dongning Guo, Kyle J. Hazelwood, Christian Herwig, Babar Khan, Sehoon Kim, Thomas Klijnsma, Yaling Liu, Kin Ho Lo, Tri Nguyen, Gianantonio Pezzullo, Seyedramin Rasoulinezhad, Ryan A. Rivera, Kate Scholberg, Justin Selig, Sougata Sen, Dmitri Strukov, William Tang, Savannah Thais, Kai Lukas Unger, Ricardo Vilalta, Belinavon Krosigk, Shen Wang, Thomas K. Warburton:
Corrigendum: Applications and techniques for fast machine learning in science. Frontiers Big Data 6 (2024) - Rithwik Udayagiri, Jessica Yin, Xinyao Cai, William Townsend, Varun Trivedi, Rohan Shende, O. Francis Sowande, Laura A. Prosser, James H. Pikul, Michelle J. Johnson:
Towards an AI-driven soft toy for automatically detecting and classifying infant-toy interactions using optical force sensors. Frontiers Robotics AI 11 (2024) - Bokui Shen, Zhenyu Jiang, Christopher Bongsoo Choy, Silvio Savarese, Leonidas J. Guibas, Anima Anandkumar, Yuke Zhu:
Action-conditional implicit visual dynamics for deformable object manipulation. Int. J. Robotics Res. 43(4): 437-455 (2024) - Aokun Chen, Yunpeng Zhao, Yi Zheng, Hui Hu, Xia Hu, Jennifer N. Fishe, William R. Hogan, Elizabeth A. Shenkman, Yi Guo, Jiang Bian:
Exploring the Relation between Contextual Social Determinants of Health and COVID-19 Occurrence and Hospitalization. Informatics 11: 4 (2024) - Thomas G. Simpson, William Godfrey, Flavie Torrecillos, Shenghong He, Damian M. Herz, Ashwini Oswal, Muthuraman Muthuraman, Alek Pogosyan, Huiling Tan:
Cortical beta oscillations help synchronise muscles during static posture holding in healthy motor control. NeuroImage 298: 120774 (2024) - Brunilda Balliu, Chris Douglas, Darsol Seok, Liat Shenhav, Yue Wu, Doxa Chatzopoulou, William Kaiser, Victor Chen, Jennifer Kim, Sandeep Deverasetty, Inna Arnaudova, Robert Gibbons, Eliza Congdon, Michelle G. Craske, Nelson B. Freimer, Eran Halperin, Sriram Sankararaman, Jonathan Flint:
Personalized mood prediction from patterns of behavior collected with smartphones. npj Digit. Medicine 7(1) (2024) - Andrew P. Creagh, Valentin Hamy, Hang Yuan, Gert Mertes, Ryan Tomlinson, Wen-Hung Chen, Rachel Williams, Christopher Llop, Christopher Yee, Mei Sheng Duh, Aiden R. Doherty, Luis Garcia-Gancedo, David A. Clifton:
Digital health technologies and machine learning augment patient reported outcomes to remotely characterise rheumatoid arthritis. npj Digit. Medicine 7(1) (2024) - Shengren Fan, Biao Zhang, Vladimir N. Kudryavtsev, William Perrie:
Mapping Radial Ocean Surface Currents in the Outer Core of Hurricane Maria From Synthetic Aperture Radar Doppler Measurements. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 2090-2097 (2024) - Shengren Fan, Vladimir N. Kudryavtsev, Biao Zhang, William Perrie:
Radar Scattering Features Under High Wind Conditions From Spaceborne Quad-Polarization SAR Observations. IEEE Trans. Geosci. Remote. Sens. 62: 1-9 (2024) - Duc-Than Nguyen, Lennart Beringer, William Mansky, Shengyi Wang:
Compositional Verification of Concurrent C Programs with Search Structure Templates. CPP 2024: 60-74 - Yi Liu, Yu Cui, Wen Cheng, Will Neil Browne, Bing Xue, Chengyuan Zhu, Yiding Zhang, Mingkai Sheng, Lingfang Zeng:
A Phenotypic Learning Classifier System for Problems with Continuous Features. GECCO 2024 - William P. Rey, Carl Jose M. Guingab, Mark Joseph C. Sheng, John Ray D. Tamayo:
Digital Evolution in Finance: A Smart Contract-integrated Web-Based Loan Management System for Lending Institutions. ICCDE 2024: 89-97 - Kristina Miller, Christopher K. Zeitler, William Shen, Kerianne Hobbs, John Schierman, Mahesh Viswanathan, Sayan Mitra:
Optimal Runtime Assurance via Reinforcement Learning. ICCPS 2024: 67-76 - Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, Samuel Maddrell-Mander, Callum McLean, Frederik Wenkel, Luis Müller, Jama Hussein Mohamud, Ali Parviz, Michael Craig, Michal Koziarski, Jiarui Lu, Zhaocheng Zhu, Cristian Gabellini, Kerstin Klaser, Josef Dean, Cas Wognum, Maciej Sypetkowski, Guillaume Rabusseau, Reihaneh Rabbany, Jian Tang, Christopher Morris, Mirco Ravanelli, Guy Wolf, Prudencio Tossou, Hadrien Mary, Therence Bois, Andrew W. Fitzgibbon, Blazej Banaszewski, Chad Martin, Dominic Masters:
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets. ICLR 2024 - Sheng Shen, Le Hou, Yanqi Zhou, Nan Du, Shayne Longpre, Jason Wei, Hyung Won Chung, Barret Zoph, William Fedus, Xinyun Chen, Tu Vu, Yuexin Wu, Wuyang Chen, Albert Webson, Yunxuan Li, Vincent Y. Zhao, Hongkun Yu, Kurt Keutzer, Trevor Darrell, Denny Zhou:
Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models. ICLR 2024 - Camille Coti, Yann Pfau-Kempf, Markus Battarbee, Urs Ganse, Sameer Shende, Kevin A. Huck, Jordi Rodriquez, Leo Kotipalo, Jennifer Faj, Jeremy J. Williams, Ivy Peng, Allen D. Malony, Stefano Markidis, Minna Palmroth:
Integration of Modern HPC Performance Tools in Vlasiator for Exascale Analysis and Optimization. IPDPS (Workshops) 2024: 996-1005 - Dawei Zhu, Sony Trenous, Xiaoyu Shen, Dietrich Klakow, Bill Byrne, Eva Hasler:
A Preference-driven Paradigm for Enhanced Translation with Large Language Models. NAACL-HLT 2024: 3385-3403 - Harideep Nair, William Leyman, Agastya Sampath, Quinn Jacobson, John Paul Shen:
NeRTCAM: CAM-Based CMOS Implementation of Reference Frames for Neuromorphic Processors. NICE 2024: 1-9 - David Kalmuk, Christian Garcia-Arellano, Ronald Barber, Richard Sidle, Kostas Rakopoulos, Hamdi Roumani, William Minor, Alexander Cheung, Robert C. Hooper, Matthew Emmerton, Zach Hoggard, Scott Walkty, Patrick Pérez, Aleksandrs Santars, Michael Chen, Matthew Olan, Daniel C. Zilio, Imran Sayyid, Humphrey Li, Ketan Rampurkar, Krishna K. Ramachandran, Yiren Shen:
Native Cloud Object Storage in Db2 Warehouse: Implementing a Fast and Cost-Efficient Cloud Storage Architecture. SIGMOD Conference Companion 2024: 188-200 - Nicolas M. Müller, Piotr Kawa, Shen Hu, Matthias Neu, Jennifer Williams, Philip Sperl, Konstantin Böttinger:
A New Approach to Voice Authenticity. CoRR abs/2402.06304 (2024) - Jonathan W. Lee, Han Wang, Kathy Jang, Amaury Hayat, Matthew R. Bunting, Arwa Alanqary, William Barbour, Zhe Fu, Xiaoqian Gong, George Gunter, Sharon Hornstein, Abdul Rahman Kreidieh, Nathan Lichtlé, Matthew Walter Nice, William A. Richardson, Adit Shah, Eugene Vinitsky, Fangyu Wu, Shengquan Xiang, Sulaiman Almatrudi, Fahd Althukair, Rahul Bhadani, Joy Carpio, Raphaël Chekroun, Eric Cheng, Maria Teresa Chiri, Fang-Chieh Chou, Ryan Delorenzo, Marsalis T. Gibson, Derek Gloudemans, Anish Gollakota, Junyi Ji, Alexander Keimer, Nour Khoudari, Malaika Mahmood, Mikail Mahmood, Hossein Nick Zinat Matin, Sean T. McQuade, Rabie Ramadan, Daniel Urieli, Xia Wang, Yanbing Wang, Rita Xu, Mengsha Yao, Yiling You, Gergely Zachár, Yibo Zhao, Mostafa Ameli, Mirza Najamuddin Baig, Sarah Bhaskaran, Kenneth Butts, Manasi Gowda, Caroline Janssen, John Lee, Liam Pedersen, Riley Wagner, Zimo Zhang, Chang Zhou, Daniel B. Work, Benjamin Seibold, Jonathan Sprinkle, Benedetto Piccoli, Maria Laura Delle Monache, Alexandre M. Bayen:
Traffic Control via Connected and Automated Vehicles: An Open-Road Field Experiment with 100 CAVs. CoRR abs/2402.17043 (2024) - Hansheng Chen, Ruoxi Shi, Yulin Liu, Bokui Shen, Jiayuan Gu, Gordon Wetzstein, Hao Su, Leonidas J. Guibas:
Generic 3D Diffusion Adapter Using Controlled Multi-View Editing. CoRR abs/2403.12032 (2024) - Dawei Zhu, Sony Trenous, Xiaoyu Shen, Dietrich Klakow, Bill Byrne, Eva Hasler:
A Preference-driven Paradigm for Enhanced Translation with Large Language Models. CoRR abs/2404.11288 (2024) - Nicolas Ugrinovic, Boxiao Pan, Georgios Pavlakos, Despoina Paschalidou, Bokui Shen, Jordi Sanchez-Riera, Francesc Moreno-Noguer, Leonidas J. Guibas:
MultiPhys: Multi-Person Physics-aware 3D Motion Estimation. CoRR abs/2404.11987 (2024) - Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, Victor Akinwande, Namir Al-Nuaimi, Najla Alfaraj, Elie Alhajjar, Lora Aroyo, Trupti Bavalatti, Borhane Blili-Hamelin, Kurt D. Bollacker, Rishi Bomassani, Marisa Ferrara Boston, Siméon Campos, Kal Chakra, Canyu Chen, Cody Coleman, Zacharie Delpierre Coudert, Leon Derczynski, Debojyoti Dutta, Ian Eisenberg, James Ezick, Heather Frase, Brian Fuller, Ram Gandikota, Agasthya Gangavarapu, Ananya Gangavarapu, James Gealy, Rajat Ghosh, James Goel, Usman Gohar, Subhra S. Goswami, Scott A. Hale, Wiebke Hutiri, Joseph Marvin Imperial, Surgan Jandial, Nick Judd, Felix Juefei-Xu, Foutse Khomh, Bhavya Kailkhura, Hannah Rose Kirk, Kevin Klyman, Chris Knotz, Michael Kuchnik, Shachi H. Kumar, Chris Lengerich, Bo Li, Zeyi Liao, Eileen Peters Long, Victor Lu, Yifan Mai, Priyanka Mary Mammen, Kelvin Manyeki, Sean McGregor, Virendra Mehta, Shafee Mohammed, Emanuel Moss, Lama Nachman, Dinesh Jinenhally Naganna, Amin Nikanjam, Besmira Nushi, Luis Oala, Iftach Orr, Alicia Parrish, Cigdem Patlak, William Pietri, Forough Poursabzi-Sangdeh, Eleonora Presani, Fabrizio Puletti, Paul Röttger, Saurav Sahay, Tim Santos, Nino Scherrer, Alice Schoenauer Sebag, Patrick Schramowski, Abolfazl Shahbazi, Vin Sharma, Xudong Shen, Vamsi Sistla, Leonard Tang, Davide Testuggine, Vithursan Thangarasa, Elizabeth Anne Watkins, Rebecca Weiss, Chris Welty, Tyler Wilbers, Adina Williams, Carole-Jean Wu, Poonam Yadav, Xianjun Yang, Yi Zeng, Wenhui Zhang, Fedor Zhdanov, Jiacheng Zhu, Percy Liang, Peter Mattson, Joaquin Vanschoren:
Introducing v0.5 of the AI Safety Benchmark from MLCommons. CoRR abs/2404.12241 (2024) - Kerstin Kläser, Blazej Banaszewski, Samuel Maddrell-Mander, Callum McLean, Luis Müller, Ali Parviz, Shenyang Huang, Andrew W. Fitzgibbon:
MiniMol: A Parameter-Efficient Foundation Model for Molecular Learning. CoRR abs/2404.14986 (2024) - Lorenzo Sani, Alex Iacob, Zeyu Cao, Bill Marino, Yan Gao, Tomás Paulik, Wanru Zhao, William F. Shen, Preslav Aleksandrov, Xinchi Qiu, Nicholas D. Lane:
The Future of Large Language Model Pre-training is Federated. CoRR abs/2405.10853 (2024) - Lavsen Dahal, Mobina Ghojogh Nejad, Dhrubajyoti Ghosh, Yubraj Bhandari, David Kim, Fong Chi Ho, Fakrul Islam Tushar, Sheng Luoa, Kyle J. Lafata, Ehsan Abadi, Ehsan Samei, Joseph Y. Lo, William Paul Segars:
XCAT-3.0: A Comprehensive Library of Personalized Digital Twins Derived from CT Scans. CoRR abs/2405.11133 (2024)
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