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ORCIDYihui Ren 0001
Person information
- affiliation: Brookhaven National Laboratory, Upton, NY, USA
Other persons with the same name
- Yihui Ren 0002
![[0000-0002-1966-8727]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-1966-8727")
— University of Chinese Academy of Sciences, Beijing, China - Yihui Ren 0003 — University of Notre Dame, Physics Department, IN, USA
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2020 – today
- 2024
[c16]Xihaier Luo, Wei Xu, Balu Nadiga, Yihui Ren, Shinjae Yoo:
Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks. ICLR 2024- [c15]Sanjay Das, Shamik Kundu, Anand Menon, Yihui Ren, Shubha R. Kharel, Kanad Basu:
Analyzing and Mitigating Circuit Aging Effects in Deep Learning Accelerators. VTS 2024: 1-7 - [i15]Xihaier Luo, Wei Xu, Yihui Ren, Shinjae Yoo, Balu Nadiga:
Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks. CoRR abs/2401.11611 (2024) - [i14]Wei Xu, Derek Freeman DeSantis, Xihaier Luo, Avish Parmar, Klaus Tan, Balu Nadiga, Yihui Ren, Shinjae Yoo:
Studying the Impact of Latent Representations in Implicit Neural Networks for Scientific Continuous Field Reconstruction. CoRR abs/2404.06418 (2024) - [i13]Shubha R. Kharel, Prashansa Mukim, Piotr Maj, Grzegorz W. Deptuch, Shinjae Yoo, Yihui Ren, Soumyajit Mandal:
Automated and Holistic Co-design of Neural Networks and ASICs for Enabling In-Pixel Intelligence. CoRR abs/2407.14560 (2024) - 2023
- [c14]Wei Chen, Yihui Ren, Ai Kagawa, Matthew R. Carbone, Samuel Yen-Chi Chen, Xiaohui Qu, Shinjae Yoo, Austin Clyde, Arvind Ramanathan, Rick L. Stevens, Hubertus Van Dam, Deyu Lu:
Transferable Graph Neural Fingerprint Models for Quick Response to Future Bio-Threats. ICMLA 2023: 800-807 - [c13]Yi Huang, Yihui Ren, Shinjae Yoo, Jin Huang:
Fast 2D Bicephalous Convolutional Autoencoder for Compressing 3D Time Projection Chamber Data. SC Workshops 2023: 298-305 - [c12]Dmitrii Torbunov, Yi Huang, Haiwang Yu, Jin Huang, Shinjae Yoo, Meifeng Lin, Brett Viren, Yihui Ren:
UVCGAN: UNet Vision Transformer cycle-consistent GAN for unpaired image-to-image translation. WACV 2023: 702-712 - [i12]Dmitrii Torbunov, Yi Huang, Huan-Hsin Tseng, Haiwang Yu, Jin Huang, Shinjae Yoo, Meifeng Lin, Brett Viren, Yihui Ren:
Rethinking CycleGAN: Improving Quality of GANs for Unpaired Image-to-Image Translation. CoRR abs/2303.16280 (2023) - [i11]Yi Huang, Dmitrii Torbunov, Brett Viren, Haiwang Yu, Jin Huang, Meifeng Lin, Yihui Ren:
Unsupervised Domain Transfer for Science: Exploring Deep Learning Methods for Translation between LArTPC Detector Simulations with Differing Response Models. CoRR abs/2304.12858 (2023) - [i10]Wei Chen, Yihui Ren, Ai Kagawa, Matthew R. Carbone, Samuel Yen-Chi Chen, Xiaohui Qu, Shinjae Yoo, Austin Clyde, Arvind Ramanathan, Rick L. Stevens, Hubertus Johannes Jacobus Van Dam, Deyu Lu:
Transferable Graph Neural Fingerprint Models for Quick Response to Future Bio-Threats. CoRR abs/2308.01921 (2023) - [i9]Shuaiwen Leon Song, Bonnie Kruft, Minjia Zhang, Conglong Li, Shiyang Chen, Chengming Zhang, Masahiro Tanaka, Xiaoxia Wu, Jeff Rasley, Ammar Ahmad Awan, Connor Holmes, Martin Cai, Adam Ghanem, Zhongzhu Zhou, Yuxiong He, Pete Luferenko, Divya Kumar, Jonathan A. Weyn, Ruixiong Zhang, Sylwester Klocek, Volodymyr Vragov, Mohammed AlQuraishi, Gustaf Ahdritz, Christina Floristean, Cristina Negri, Rao Kotamarthi, Venkatram Vishwanath, Arvind Ramanathan, Sam Foreman, Kyle Hippe, Troy Arcomano, Romit Maulik, Maxim Zvyagin, Alexander Brace, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael W. Irvin, J. Gregory Pauloski, Logan T. Ward, Valérie Hayot-Sasson, Murali Emani, Zhen Xie, Diangen Lin, Maulik Shukla, Ian T. Foster, James J. Davis, Michael E. Papka, Thomas S. Brettin, Prasanna Balaprakash, Gina Tourassi, John Gounley, Heidi A. Hanson, Thomas E. Potok, Massimiliano Lupo Pasini, Kate Evans, Dan Lu, Dalton D. Lunga, Junqi Yin, Sajal Dash, Feiyi Wang, Mallikarjun Shankar, Isaac Lyngaas, Xiao Wang, Guojing Cong, Pei Zhang, Ming Fan, Siyan Liu, Adolfy Hoisie, Shinjae Yoo, Yihui Ren, William Tang, Kyle Felker, Alexey Svyatkovskiy, Hang Liu, Ashwin M. Aji, Angela Dalton, Michael J. Schulte, Karl Schulz, Yuntian Deng, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Anima Anandkumar, Rick Stevens:
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies. CoRR abs/2310.04610 (2023) - [i8]Yi Huang, Yihui Ren, Shinjae Yoo, Jin Huang:
Fast 2D Bicephalous Convolutional Autoencoder for Compressing 3D Time Projection Chamber Data. CoRR abs/2310.15026 (2023) - 2022
- [c11]Sandeep Miryala, Md. Adnan Zaman, Sandeep Mittal, Yihui Ren, Grzegorz Deptuch, Gabriella Carini, Sioan Zohar, Shinjae Yoo, Jack Fried, Jin Huang, Srinivas Katkoori:
Peak Prediction Using Multi Layer Perceptron (MLP) for Edge Computing ASICs Targeting Scientific Applications. ISQED 2022: 1-6 - [c10]Sandeep Miryala, Gabriella Carini, Grzegorz Deptuch, Jin Huang, Srinivas Katkoori, Piotr Maj, Soumyajit Mandal, Yihui Ren, Md. Adnan Zaman:
Design and Challenges of Edge Computing ASICs on Front-End Electronics. ISQED 2022: 19-27 - [i7]Xihaier Luo, Balasubramanya T. Nadiga, Yihui Ren, Ji Hwan Park, Wei Xu, Shinjae Yoo:
A Bayesian Deep Learning Approach to Near-Term Climate Prediction. CoRR abs/2202.11244 (2022) - [i6]Dmitrii Torbunov, Yi Huang, Haiwang Yu, Jin Huang, Shinjae Yoo, Meifeng Lin, Brett Viren, Yihui Ren:
UVCGAN: UNet Vision Transformer cycle-consistent GAN for unpaired image-to-image translation. CoRR abs/2203.02557 (2022) - [i5]Stephen G. Eubank, Madhurima Nath, Yihui Ren, Abhijin Adiga:
Perturbative methods for mostly monotonic probabilistic satisfiability problems. CoRR abs/2206.03550 (2022) - 2021
- [c9]Yi Huang, Yihui Ren, Shinjae Yoo, Jin Huang:
Efficient Data Compression for 3D Sparse TPC via Bicephalous Convolutional Autoencoder. ICMLA 2021: 1094-1099 - [i4]Wei Xu, Xihaier Luo, Yihui Ren, Ji Hwan Park, Shinjae Yoo, Balasubramanya T. Nadiga:
Feature Importance in a Deep Learning Climate Emulator. CoRR abs/2108.13203 (2021) - [i3]Yi Huang, Yihui Ren, Shinjae Yoo, Jin Huang:
Efficient Data Compression for 3D Sparse TPC via Bicephalous Convolutional Autoencoder. CoRR abs/2111.05423 (2021) - 2020
- [j1]Vanessa Cedeno-Mieles, Zhihao Hu, Yihui Ren, Xinwei Deng, Abhijin Adiga, Christopher L. Barrett, Noshir Contractor, Saliya Ekanayake, Joshua M. Epstein, Brian J. Goode, Gizem Korkmaz, Chris J. Kuhlman, Dustin Machi, Michael W. Macy, Madhav V. Marathe, Naren Ramakrishnan, S. S. Ravi, Parang Saraf, Nathan Self:
Networked experiments and modeling for producing collective identity in a group of human subjects using an iterative abduction framework. Soc. Netw. Anal. Min. 10(1): 11 (2020) - [c8]Seungwook Han, Yan Zhang, Yihui Ren, Jonathan Posner, Shinjae Yoo, Jiook Cha:
3D distributed deep learning framework for prediction of human intelligence from brain MRI. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113171X
2010 – 2019
- 2019
- [c7]Vanessa Cedeno-Mieles, Zhihao Hu, Xinwei Deng, Yihui Ren, Abhijin Adiga, Christopher L. Barrett, Saliya Ekanayake, Gizem Korkmaz, Chris J. Kuhlman, Dustin Machi, Madhav V. Marathe, S. S. Ravi, Brian J. Goode, Naren Ramakrishnan, Parang Saraf, Nathan Self, Noshir Contractor, Joshua M. Epstein, Michael W. Macy:
Mechanistic and data-driven agent-based models to explain human behavior in online networked group anagram games. ASONAM 2019: 357-364 - [c6]Yihui Ren, Shinjae Yoo, Adolfy Hoisie:
Performance Analysis of Deep Learning Workloads on Leading-edge Systems. PMBS@SC 2019: 103-113 - [c5]Zhihao Hu, Dustin Machi, Madhav V. Marathe, S. S. Ravi, Yihui Ren, Vanessa Cedeno-Mieles, Saliya Ekanayake, Xinwei Deng, Brian J. Goode, Naren Ramakrishnan, Parang Saraf, Nathan Self, Abhijin Adiga, Gizem Korkmaz, Chris J. Kuhlman:
On the Modeling and Agent-Based Simulation of a Cooperative Group Anagram Game. WSC 2019: 169-180 - [i2]Yihui Ren, Shinjae Yoo, Adolfy Hoisie:
Performance Analysis of Deep Learning Workloads on Leading-edge Systems. CoRR abs/1905.08764 (2019) - 2018
- [c4]Yihui Ren, Vanessa Cedeno-Mieles, Zhihao Hu, Xinwei Deng, Abhijin Adiga, Christopher L. Barrett, Saliya Ekanayake, Brian J. Goode, Gizem Korkmaz, Chris J. Kuhlman, Dustin Machi, Madhav V. Marathe, Naren Ramakrishnan, S. S. Ravi, Parang Saraf, Nathan Self, Noshir Contractor, Joshua M. Epstein, Michael W. Macy:
Generative Modeling of Human Behavior and Social Interactions Using Abductive Analysis. ASONAM 2018: 413-420 - [c3]Madhurima Nath, Yihui Ren, Stephen G. Eubank:
An Approach to Structural Analysis Using Moore-Shannon Network Reliability. COMPLEX NETWORKS (1) 2018: 537-549 - [c2]Vanessa Cedeno-Mieles, Yihui Ren, Saliya Ekanayake, Brian J. Goode, Chris J. Kuhlman, Dustin Machi, Madhav V. Marathe, Henning S. Mortveit, Zhihao Hu, Xinwei Deng, Naren Ramakrishnan, Parang Saraf, Nathan Self, Noshir Contractor, Joshua M. Epstein, Michael W. Macy:
Pipelines and their Compositions for Modeling and Analysis of controlled Online Networked Social Science Experiments. WSC 2018: 774-785 - 2017
- [c1]Chris J. Kuhlman, Yihui Ren, Bryan L. Lewis, James Schlitt:
Hybrid Agent-based modeling of Zika in the united states. WSC 2017: 1085-1096 - 2016
- [i1]Yihui Ren, Stephen G. Eubank, Madhurima Nath:
From Network Reliability to the Ising Model: A Parallel Scheme for Estimating the Joint Density of States. CoRR abs/1610.05821 (2016)
Coauthor Index
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