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Publication search results
found 62 matches
- 2024
- Dung Vo, Chenguang Liu, McClain Nelson:
Extremely Light-Weight Learning Based LDR to PQ HDR Conversion Using Bernstein Curves. ICASSP 2024: 3910-3914 - Dung Vo, Chenguang Liu, McClain Nelson:
Outdoor Ambient Compensation Using Shadow and Bright Scene Detection. ICCE 2024: 1-3 - Dung Vo, Chenguang Liu, Chang Su, McClain Nelson, Bill Mandel:
Automatic Color Ambient Compensation Using A Novel Perception Model. ICCE 2024: 1-4 - 2023
- Ziyuan Liu, Zhixiong Niu, Ran Shu, Liang Gao, Guohong Lai, Na Wang, Zongying He, Jacob Nelson, Dan R. K. Ports, Lihua Yuan, Peng Cheng, Yongqiang Xiong:
SlimeMold: Hardware Load Balancer at Scale in Datacenter. APNet 2023: 136-142 - Nelson Filipe Costa, Yushun Cheng, Thomas Chapados Muermans, Blaise Hanel, Leila Kosseim:
Automatic Identification of Chinese Paired Discourse Connectives. ICSC 2023: 114-117 - Zhuangqun Huang, Gil Keren, Ziran Jiang, Shashank Jain, David Goss-Grubbs, Nelson Cheng, Farnaz Abtahi, Duc Le, David Zhang, Antony D'Avirro, Ethan Campbell-Taylor, Jessie Salas, Irina-Elena Veliche, Xi Chen:
Text Generation with Speech Synthesis for ASR Data Augmentation. CoRR abs/2305.16333 (2023) - Sandipan Kundu, Yuntao Bai, Saurav Kadavath, Amanda Askell, Andrew Callahan, Anna Chen, Anna Goldie, Avital Balwit, Azalia Mirhoseini, Brayden McLean, Catherine Olsson, Cassie Evraets, Eli Tran-Johnson, Esin Durmus, Ethan Perez, Jackson Kernion, Jamie Kerr, Kamal Ndousse, Karina Nguyen, Nelson Elhage, Newton Cheng, Nicholas Schiefer, Nova DasSarma, Oliver Rausch, Robin Larson, Shannon Yang, Shauna Kravec, Timothy Telleen-Lawton, Thomas I. Liao, Tom Henighan, Tristan Hume, Zac Hatfield-Dodds, Sören Mindermann, Nicholas Joseph, Sam McCandlish, Jared Kaplan:
Specific versus General Principles for Constitutional AI. CoRR abs/2310.13798 (2023) - 2022
- Xuemin Sherman Shen, Ana García Armada, Nelson L. S. da Fonseca, Chengshan Xiao, Wei Zhang:
To Better Serve and Grow the ComSoc Community. IEEE Commun. Mag. 60(1): 4 (2022) - T. C. Edwin Cheng, Sachin S. Kamble, Amine Belhadi, Nelson Oly Ndubisi, Kee-hung Lai, Manoj Govind Kharat:
Linkages between big data analytics, circular economy, sustainable supply chain flexibility, and sustainable performance in manufacturing firms. Int. J. Prod. Res. 60(22): 6908-6922 (2022) - Xiaopu Wang, Chengzhi Hu, Salvador Pané, Bradley J. Nelson:
Dynamic Modeling of Magnetic Helical Microrobots. IEEE Robotics Autom. Lett. 7(2): 1682-1688 (2022) - Dung Vo, Chenguang Liu, McClain Nelson, Bill Mandel, Suzie Hyun:
HDR10+ Adaptive Ambient Compensation Using Creative Intent Metadata. IEEE Trans. Consumer Electron. 68(2): 149-160 (2022) - Alan David Kaplan, Qi Cheng, K. Aditya Mohan, Lindsay D. Nelson, Sonia Jain, Harvey Levin, Abel Torres-Espin, Austin Chou, J. Russell Huie, Adam R. Ferguson, Michael A. McCrea, Joseph Giacino, Shivshankar Sundaram, Amy J. Markowitz, Geoffrey T. Manley:
Mixture Model Framework for Traumatic Brain Injury Prognosis Using Heterogeneous Clinical and Outcome Data. IEEE J. Biomed. Health Informatics 26(3): 1285-1296 (2022) - Yijun Shao, Yan Cheng, Stuart J. Nelson, Peter Kokkinos, Edward Zamrini, Ali Ahmed, Qing Zeng-Treitler:
A Novel Hybrid Value-Aware Transformer Architecture for Learning from Longitudinal Clinical Data. AMIA 2022 - Ziyuan Liu, Zhixiong Niu, Ran Shu, Wenxue Cheng, Peng Cheng, Yongqiang Xiong, Lihua Yuan, Jacob Nelson, Dan R. K. Ports:
A Disaggregate Data Collecting Approach for Loss-Tolerant Applications. APNet 2022: 57-62 - Chenguang Liu, Dung Vo, McClain Nelson, Bill Mandel, Suzie Hyun:
Black Level Compensation for TVs Using HDR Dynamic Metadata. ICCE 2022: 1-6 - Dung Vo, Chenguang Liu, McClain Nelson, Bill Mandel, Suzie Hyun:
Creative Intent Based Ambient Compensation for HDR10+ Content Using Metadata. ICCE 2022: 1-4 - Phillip Ma, Yijun Shao, Yan Cheng, Youxuan Ling, Qing Zeng-Treitler, Stuart J. Nelson:
Modeling the Impact of Social Determinants of Health on COVID Behaviors in Older Adults using the All of Us Dataset. ICHI 2022: 337-347 - Mohan Zhang, Xiaozhou Wang, Benjamin Decardi-Nelson, Bo Song, An Zhang, Jinfeng Liu, Sile Tao, Jiayi Cheng, Xiaohong Liu, Dengdeng Yu, Matthew Poon, Animesh Garg:
SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments. NeurIPS 2022 - Hongwei Chen, Sathya R. Chitturi, Rajan Plumley, Lingjia Shen, Nathan C. Drucker, Nicolas Burdet, Cheng Peng, Sougata Mardanya, Daniel Ratner, Aashwin Mishra, Chun Hong Yoon, Sanghoon Song, Matthieu Chollet, Gilberto Fabbris, Mike Dunne, Silke Nelson, Mingda Li, Aaron Lindenberg, Chunjing Jia, Youssef Nashed, Arun Bansil, Sugata Chowdhury, Adrian E. Feiguin, Joshua J. Turner, Jana Thayer:
Testing the data framework for an AI algorithm in preparation for high data rate X-ray facilities. XLOOP@SC 2022: 1-9 - Mohan Zhang, Xiaozhou Wang, Benjamin Decardi-Nelson, Bo Song, An Zhang, Jinfeng Liu, Sile Tao, Jiayi Cheng, Xiaohong Liu, Dengdeng Yu, Matthew Poon, Animesh Garg:
SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments. CoRR abs/2206.08851 (2022) - Xinxing Wu, Chong Peng, Peter T. Nelson, Qiang Cheng:
Alcohol Intake Differentiates AD and LATE: A Telltale Lifestyle from Two Large-Scale Datasets. CoRR abs/2209.05438 (2022) - 2021
- Bertram Richter, Zachary Mace, Megan Hays, Santosh Adhikari, Huy Pham, Robert Sclabassi, Benedict Kolber, Saigopalakrishna Yerneni, Phil Campbell, Boyle Cheng, Nestor Tomycz, Donald Whiting, Trung Q. Le, Toby Nelson, Saadyah Averick:
Development and Characterization of Novel Conductive Sensing Fibers for In Vivo Nerve Stimulation. Sensors 21(22): 7581 (2021) - Nelson Nauata, Sepidehsadat Hosseini, Kai-Hung Chang, Hang Chu, Chin-Yi Cheng, Yasutaka Furukawa:
House-GAN++: Generative Adversarial Layout Refinement Network towards Intelligent Computational Agent for Professional Architects. CVPR 2021: 13632-13641 - Kaikai Liu, Naijun Jin, Haotian Cheng, Matthew W. Puckett, Ryan O. Behunin, Karl D. Nelson, Peter T. Rakich, Daniel J. Blumenthal:
720 Million Quality Factor Integrated All-Waveguide Photonic Resonator. DRC 2021: 1-2 - Nelson Nauata, Sepidehsadat Hosseini, Kai-Hung Chang, Hang Chu, Chin-Yi Cheng, Yasutaka Furukawa:
House-GAN++: Generative Adversarial Layout Refinement Networks. CoRR abs/2103.02574 (2021) - 2020
- Nelson Nauata, Kai-Hung Chang, Chin-Yi Cheng, Greg Mori, Yasutaka Furukawa:
House-GAN: Relational Generative Adversarial Networks for Graph-Constrained House Layout Generation. ECCV (1) 2020: 162-177 - Nelson Nauata, Kai-Hung Chang, Chin-Yi Cheng, Greg Mori, Yasutaka Furukawa:
House-GAN: Relational Generative Adversarial Networks for Graph-constrained House Layout Generation. CoRR abs/2003.06988 (2020) - Alan David Kaplan, Qi Cheng, K. Aditya Mohan, Lindsay D. Nelson, Sonia Jain, Harvey Levin, Abel Torres-Espin, Austin Chou, J. Russell Huie, Adam R. Ferguson, Michael A. McCrea, Joseph Giacino, Shivshankar Sundaram, Amy J. Markowitz, Geoffrey T. Manley:
Mixture Model Framework for Traumatic Brain Injury Prognosis Using Heterogeneous Clinical and Outcome Data. CoRR abs/2012.12310 (2020) - 2019
- Michael J. Nelson, Rick Voithofer, Sheng-Lun Cheng:
Mediating factors that influence the technology integration practices of teacher educators. Comput. Educ. 128: 330-344 (2019) - Dominik Moritz, Chenglong Wang, Greg L. Nelson, Halden Lin, Adam M. Smith, Bill Howe, Jeffrey Heer:
Formalizing Visualization Design Knowledge as Constraints: Actionable and Extensible Models in Draco. IEEE Trans. Vis. Comput. Graph. 25(1): 438-448 (2019)
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