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Performance, Successes and Limitations of Deep Learning Semantic Segmentation of Multiple Defects in Transmission Electron Micrographs


Oct 15, 2021
Ryan Jacobs, Mingren Shen, Yuhan Liu, Wei Hao, Xiaoshan Li, Ruoyu He, Jacob RC Greaves, Donglin Wang, Zeming Xie, Zitong Huang, Chao Wang, Kevin G. Field, Dane Morgan


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Multi defect detection and analysis of electron microscopy images with deep learning


Aug 19, 2021
Mingren Shen, Guanzhao Li, Dongxia Wu, Yuhan Liu, Jacob Greaves, Wei Hao, Nathaniel J. Krakauer, Leah Krudy, Jacob Perez, Varun Sreenivasan, Bryan Sanchez, Oigimer Torres, Wei Li, Kevin Field, Dane Morgan


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Textual Analysis of Communications in COVID-19 Infected Community on Social Media


May 03, 2021
Yuhan Liu, Yuhan Gao, Zhifan Nan, Long Chen

* 5 pages, 4 figures, coursework for DS-GA 1011 

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AutoFreeze: Automatically Freezing Model Blocks to Accelerate Fine-tuning


Feb 02, 2021
Yuhan Liu, Saurabh Agarwal, Shivaram Venkataraman


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Accelerating Deep Learning Inference via Learned Caches


Jan 18, 2021
Arjun Balasubramanian, Adarsh Kumar, Yuhan Liu, Han Cao, Shivaram Venkataraman, Aditya Akella


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Estimating Sparse Discrete Distributions Under Local Privacy and Communication Constraints


Oct 30, 2020
Jayadev Acharya, Yuhan Liu, Ziteng Sun


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Auto-calibration Method Using Stop Signs for Urban Autonomous Driving Applications


Oct 14, 2020
Yunhai Han, Yuhan Liu, David Paz, Henrik Christensen

* 8 pages, 15 figures, In review of RA-L/ICRA 

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Interactive Inference under Information Constraints


Aug 18, 2020
Jayadev Acharya, Clément L. Canonne, Yuhan Liu, Ziteng Sun, Himanshu Tyagi

* Fixed a typo in the table of results ("k" in the denominator of one expression should have been "sqrt(k)") 

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Learning discrete distributions: user vs item-level privacy


Jul 28, 2020
Yuhan Liu, Ananda Theertha Suresh, Felix Yu, Sanjiv Kumar, Michael Riley

* 36 pages 

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Learning discrete distributions: user-lever vs item-level privacy


Jul 27, 2020
Yuhan Liu, Ananda Theertha Suresh, Felix Yu, Sanjiv Kumar, Michael Riley

* 36 pages 

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Entanglement-guided architectures of machine learning by quantum tensor network


Jun 26, 2018
Yuhan Liu, Xiao Zhang, Maciej Lewenstein, Shi-Ju Ran

* 10 pages, 5 figures 

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