Yihui Ren

55 papers A* 1A 1B 2C 2Misc 4Journal 35Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Alternative mixed integer linear programming optimization for joint job scheduling and data allocation in grid computing.
Future Gener. Comput. Syst.
Shengyu Feng, Jaehyung Kim, Yiming Yang, Joseph Boudreau, Tasnuva Chowdhury, Adolfy Hoisie, Raees Khan, Ozgur O. Kilic, Scott Klasky, Tatiana Korchuganova, Paul Nilsson, Verena Ingrid Martinez Outschoorn, David Keetae Park, Norbert Podhorszki, Yihui Ren, Frédéric Suter, Sairam Sri Vatsavai, Wei Yang, Shinjae Yoo, Tadashi Maeno, Alexei Klimentov
2026 J jnl
AutoSizer: Automatic Sizing of Analog and Mixed-Signal Circuits via Large Language Model (LLM) Agents.
CoRR
Xi Yu, Dmitrii Torbunov, Soumyajit Mandal, Yihui Ren
2026 J jnl
Parameter Inference and Uncertainty Quantification with Diffusion Models: Extending CDI to 2D Spatial Conditioning.
CoRR
Dmitrii Torbunov, Yihui Ren, Lijun Wu, Yimei Zhu
2026 J jnl
Variable rate neural compression for sparse detector data.
Patterns
Yi Huang, Yeonju Go, Jin Huang, Shuhang Li, Xihaier Luo, Thomas Marshall, Joseph D. Osborn, Christopher Pinkenburg, Yihui Ren, Evgeny Shulga, Shinjae Yoo, Byung-Jun Yoon
2025 J jnl
Alternative Mixed Integer Linear Programming Optimization for Joint Job Scheduling and Data Allocation in Grid Computing.
CoRR
Shengyu Feng, Jaehyung Kim, Yiming Yang, Joseph Boudreau, Tasnuva Chowdhury, Adolfy Hoisie, Raees Khan, Ozgur O. Kilic, Scott Klasky, Tatiana Korchuganova, Paul Nilsson, Verena Ingrid Martinez Outschoorn, David Keetae Park, Norbert Podhorszki, Yihui Ren, Frédéric Suter, Sairam Sri Vatsavai, Wei Yang, Shinjae Yoo, Tadashi Maeno, Alexei Klimentov
2025 — conf
CGSim: A Simulation Framework for Large Scale Distributed Computing Environment.
SC Workshops
Sairam Sri Vatsavai, Raees Khan Ahmed, Kuan-Chieh Hsu, Ozgur O. Kilic, Yihui Ren, David K. Park, Paul Nilsson, Tania Korchuganova, Sankha Dutta, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Fatih Furkan Akman, Adolfy Hoisie, Scott Klasky, Tadashi Maeno, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Frédéric Suter, John Rembrandt Steele, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov
2025 J jnl
CGSim: A Simulation Framework for Large Scale Distributed Computing Environment.
CoRR
Sairam Sri Vatsavai, Raees Khan, Kuan-Chieh Hsu, Ozgur O. Kilic, Paul Nilsson, Tatiana Korchuganova, David Keetae Park, Sankha Dutta, Yihui Ren, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie
2025 J jnl
CircuitSense: A Hierarchical Circuit System Benchmark Bridging Visual Comprehension and Symbolic Reasoning in Engineering Design Process.
CoRR
Arman Akbari, Jian Gao, Yifei Zou, Mei Yang, Jinru Duan, Dmitrii Torbunov, Yanzhi Wang, Yihui Ren, Xuan Zhang
2025 — conf
Data Management System Analysis for Distributed Computing Workloads.
SC Workshops
Kuan-Chieh Hsu, Sairam Sri Vatsavai, Ozgur O. Kilic, Sankha Dutta, Yihui Ren, David K. Park, Tatiana Korchuganova, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Ahmad Khan, Jaehyung Kim, Norbert Podhorszki, Scott Klasky, Tadashi Maeno, Paul Nilsson, Verena Ingrid Martinez Outschoorn, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie
2025 J jnl
Data Management System Analysis for Distributed Computing Workloads.
CoRR
Kuan-Chieh Hsu, Sairam Sri Vatsavai, Ozgur O. Kilic, Tatiana Korchuganova, Paul Nilsson, Sankha Dutta, Yihui Ren, David K. Park, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Khan, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie
2025 — conf
Error Analysis of Globally Distributed Workflow Management System.
SC Workshops
Sankha Dutta, Ozgur O. Kilic, Tatiana Korchuganova, Paul Nilsson, Sairam Sri Vatsavai, Kuan-Chieh Hsu, David K. Park, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Khan, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Yihui Ren, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie
2025 J jnl
FM4NPP: A Scaling Foundation Model for Nuclear and Particle Physics.
CoRR
David Keetae Park, Shuhang Li, Yi Huang, Xihaier Luo, Haiwang Yu, Yeonju Go, Christopher Pinkenburg, Yuewei Lin, Shinjae Yoo, Joseph D. Osborn, Jin Huang, Yihui Ren
2025 J jnl
Generalizable Implicit Neural Representations via Parameterized Latent Dynamics for Baroclinic Ocean Forecasting.
CoRR
Guang Zhao, Xihaier Luo, Seungjun Lee, Yihui Ren, Shinjae Yoo, Luke Van Roekel, Balu Nadiga, Sri Hari Krishna Narayanan, Yixuan Sun, Wei Xu
2025 J jnl
IE2Video: Adapting Pretrained Diffusion Models for Event-Based Video Reconstruction.
CoRR
Dmitrii Torbunov, Onur Okuducu, Yi Huang, Odera Dim, Rebecca Coles, Yonggang Cui, Yihui Ren
2025 J jnl
Machine Learning-Driven Predictive Resource Management in Complex Science Workflows.
CoRR
Tasnuva Chowdhury, Tadashi Maeno, Fatih Furkan Akman, Joseph Boudreau, Sankha Dutta, Shengyu Feng, Adolfy Hoisie, Kuan-Chieh Hsu, Raees Khan, Jaehyung Kim, Ozgur O. Kilic, Scott Klasky, Alexei Klimentov, Tatiana Korchuganova, Verena Ingrid Martinez Outschoorn, Paul Nilsson, David Keetae Park, Norbert Podhorszki, Yihui Ren, John Rembrandt Steele, Frédéric Suter, Sairam Sri Vatsavai, Torre J. Wenaus, Wei Yang, Yiming Yang, Shinjae Yoo
2025 J jnl
Towards an Introspective Dynamic Model of Globally Distributed Computing Infrastructures.
CoRR
Ozgur O. Kilic, David Keetae Park, Yihui Ren, Tatiana Korchuganova, Sairam Sri Vatsavai, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Khan, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Paul Nilsson, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie
2024 — conf
AI Surrogate Model for Distributed Computing Workloads.
SC Workshops
David Keetae Park, Yihui Ren, Ozgur O. Kilic, Tatiana Korchuganova, Sairam Sri Vatsavai, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Khan, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Paul Nilsson, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie
2024 J jnl
AI Surrogate Model for Distributed Computing Workloads.
CoRR
David Keetae Park, Yihui Ren, Ozgur O. Kilic, Tatiana Korchuganova, Sairam Sri Vatsavai, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Khan, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Paul Nilsson, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie
2024 Misc conf
Analyzing and Mitigating Circuit Aging Effects in Deep Learning Accelerators.
VTS
Sanjay Das, Shamik Kundu, Anand Menon, Yihui Ren, Shubha R. Kharel, Kanad Basu
2024 J jnl
Automated and Holistic Co-design of Neural Networks and ASICs for Enabling In-Pixel Intelligence.
CoRR
Shubha R. Kharel, Prashansa Mukim, Piotr Maj, Grzegorz W. Deptuch, Shinjae Yoo, Yihui Ren, Soumyajit Mandal
2024 A* conf
Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks.
ICLR
Xihaier Luo, Wei Xu, Balu Nadiga, Yihui Ren, Shinjae Yoo
2024 J jnl
Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks.
CoRR
Xihaier Luo, Wei Xu, Yihui Ren, Shinjae Yoo, Balu Nadiga
2024 J jnl
Efficient Compression of Sparse Accelerator Data Using Implicit Neural Representations and Importance Sampling.
CoRR
Xihaier Luo, Samuel Lurvey, Yi Huang, Yihui Ren, Jin Huang, Byung-Jun Yoon
2024 J jnl
EvRT-DETR: The Surprising Effectiveness of DETR-based Detection for Event Cameras.
CoRR
Dmitrii Torbunov, Yihui Ren, Animesh Ghose, Odera Dim, Yonggang Cui
2024 J jnl
Mitigating Parameter Degeneracy using Joint Conditional Diffusion Model for WECC Composite Load Model in Power Systems.
CoRR
Feiqin Zhu, Dmitrii Torbunov, Yihui Ren, Zhongjing Jiang, Tianqiao Zhao, Amirthagunaraj Yogarathnam, Meng Yue
2024 J jnl
Studying the Impact of Latent Representations in Implicit Neural Networks for Scientific Continuous Field Reconstruction.
CoRR
Wei Xu, Derek Freeman DeSantis, Xihaier Luo, Avish Parmar, Klaus Tan, Balu Nadiga, Yihui Ren, Shinjae Yoo
2024 J jnl
Unpaired image translation to mitigate domain shift in liquid argon time projection chamber detector responses.
Mach. Learn. Sci. Technol.
Yi Huang, Dmitrii Torbunov, Brett Viren, Haiwang Yu, Jin Huang, Meifeng Lin, Yihui Ren
2024 J jnl
Variable Rate Neural Compression for Sparse Detector Data.
CoRR
Yi Huang, Yeonju Go, Jin Huang, Shuhang Li, Xihaier Luo, Thomas Marshall, Joseph D. Osborn, Christopher Pinkenburg, Yihui Ren, Evgeny Shulga, Shinjae Yoo, Byung-Jun Yoon
2023 J jnl
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies.
CoRR
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 W. Schulz, Yuntian Deng, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Anima Anandkumar, Rick Stevens
2023 — conf
Fast 2D Bicephalous Convolutional Autoencoder for Compressing 3D Time Projection Chamber Data.
SC Workshops
Yi Huang, Yihui Ren, Shinjae Yoo, Jin Huang
2023 J jnl
Fast 2D Bicephalous Convolutional Autoencoder for Compressing 3D Time Projection Chamber Data.
CoRR
Yi Huang, Yihui Ren, Shinjae Yoo, Jin Huang
2023 J jnl
Rethinking CycleGAN: Improving Quality of GANs for Unpaired Image-to-Image Translation.
CoRR
Dmitrii Torbunov, Yi Huang, Huan-Hsin Tseng, Haiwang Yu, Jin Huang, Shinjae Yoo, Meifeng Lin, Brett Viren, Yihui Ren
2023 C conf
Transferable Graph Neural Fingerprint Models for Quick Response to Future Bio-Threats.
ICMLA
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
2023 J jnl
Transferable Graph Neural Fingerprint Models for Quick Response to Future Bio-Threats.
CoRR
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
2023 A conf
UVCGAN: UNet Vision Transformer cycle-consistent GAN for unpaired image-to-image translation.
WACV
Dmitrii Torbunov, Yi Huang, Haiwang Yu, Jin Huang, Shinjae Yoo, Meifeng Lin, Brett Viren, Yihui Ren
2023 J jnl
Unsupervised Domain Transfer for Science: Exploring Deep Learning Methods for Translation between LArTPC Detector Simulations with Differing Response Models.
CoRR
Yi Huang, Dmitrii Torbunov, Brett Viren, Haiwang Yu, Jin Huang, Meifeng Lin, Yihui Ren
2022 J jnl
A Bayesian Deep Learning Approach to Near-Term Climate Prediction.
CoRR
Xihaier Luo, Balasubramanya T. Nadiga, Yihui Ren, Ji Hwan Park, Wei Xu, Shinjae Yoo
2022 — conf
Design and Challenges of Edge Computing ASICs on Front-End Electronics.
ISQED
Sandeep Miryala, Gabriella Carini, Grzegorz Deptuch, Jin Huang, Srinivas Katkoori, Piotr Maj, Soumyajit Mandal, Yihui Ren, Md. Adnan Zaman
2022 — conf
Peak Prediction Using Multi Layer Perceptron (MLP) for Edge Computing ASICs Targeting Scientific Applications.
ISQED
Sandeep Miryala, Md. Adnan Zaman, Sandeep Mittal, Yihui Ren, Grzegorz Deptuch, Gabriella Carini, Sioan Zohar, Shinjae Yoo, Jack Fried, Jin Huang, Srinivas Katkoori
2022 J jnl
Perturbative methods for mostly monotonic probabilistic satisfiability problems.
CoRR
Stephen G. Eubank, Madhurima Nath, Yihui Ren, Abhijin Adiga
2022 J jnl
UVCGAN: UNet Vision Transformer cycle-consistent GAN for unpaired image-to-image translation.
CoRR
Dmitrii Torbunov, Yi Huang, Haiwang Yu, Jin Huang, Shinjae Yoo, Meifeng Lin, Brett Viren, Yihui Ren
2021 C conf
Efficient Data Compression for 3D Sparse TPC via Bicephalous Convolutional Autoencoder.
ICMLA
Yi Huang, Yihui Ren, Shinjae Yoo, Jin Huang
2021 J jnl
Efficient Data Compression for 3D Sparse TPC via Bicephalous Convolutional Autoencoder.
CoRR
Yi Huang, Yihui Ren, Shinjae Yoo, Jin Huang
2021 J jnl
Feature Importance in a Deep Learning Climate Emulator.
CoRR
Wei Xu, Xihaier Luo, Yihui Ren, Ji Hwan Park, Shinjae Yoo, Balasubramanya T. Nadiga
2020 — conf
3D distributed deep learning framework for prediction of human intelligence from brain MRI.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Seungwook Han, Yan Zhang, Yihui Ren, Jonathan Posner, Shinjae Yoo, Jiook Cha
2020 J jnl
Networked experiments and modeling for producing collective identity in a group of human subjects using an iterative abduction framework.
Soc. Netw. Anal. Min.
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
2019 B conf
Mechanistic and data-driven agent-based models to explain human behavior in online networked group anagram games.
ASONAM
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
2019 Misc conf
On the Modeling and Agent-Based Simulation of a Cooperative Group Anagram Game.
WSC
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
2019 — conf
Performance Analysis of Deep Learning Workloads on Leading-edge Systems.
PMBS@SC
Yihui Ren, Shinjae Yoo, Adolfy Hoisie
2019 J jnl
Performance Analysis of Deep Learning Workloads on Leading-edge Systems.
CoRR
Yihui Ren, Shinjae Yoo, Adolfy Hoisie
2018 — conf
An Approach to Structural Analysis Using Moore-Shannon Network Reliability.
COMPLEX NETWORKS (1)
Madhurima Nath, Yihui Ren, Stephen G. Eubank
2018 B conf
Generative Modeling of Human Behavior and Social Interactions Using Abductive Analysis.
ASONAM
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
2018 Misc conf
Pipelines and their Compositions for Modeling and Analysis of controlled Online Networked Social Science Experiments.
WSC
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
2017 Misc conf
Hybrid Agent-based modeling of Zika in the united states.
WSC
Chris J. Kuhlman, Yihui Ren, Bryan L. Lewis, James Schlitt
2016 J jnl
From Network Reliability to the Ising Model: A Parallel Scheme for Estimating the Joint Density of States.
CoRR
Yihui Ren, Stephen G. Eubank, Madhurima Nath