Yihui Ren
Orcid: 0000-0002-5750-6964Affiliations:
- Brookhaven National Laboratory, Upton, NY, USA
According to our database1,
Yihui Ren
authored at least 26 papers
between 2016 and 2024.
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Bibliography
2024
Automated and Holistic Co-design of Neural Networks and ASICs for Enabling In-Pixel Intelligence.
CoRR, 2024
Studying the Impact of Latent Representations in Implicit Neural Networks for Scientific Continuous Field Reconstruction.
CoRR, 2024
Proceedings of the 42nd IEEE VLSI Test Symposium, 2024
Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies.
CoRR, 2023
Unsupervised Domain Transfer for Science: Exploring Deep Learning Methods for Translation between LArTPC Detector Simulations with Differing Response Models.
CoRR, 2023
Rethinking CycleGAN: Improving Quality of GANs for Unpaired Image-to-Image Translation.
CoRR, 2023
UVCGAN: UNet Vision Transformer cycle-consistent GAN for unpaired image-to-image translation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Fast 2D Bicephalous Convolutional Autoencoder for Compressing 3D Time Projection Chamber Data.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023
Transferable Graph Neural Fingerprint Models for Quick Response to Future Bio-Threats.
Proceedings of the International Conference on Machine Learning and Applications, 2023
2022
CoRR, 2022
Peak Prediction Using Multi Layer Perceptron (MLP) for Edge Computing ASICs Targeting Scientific Applications.
Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022
Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022
2021
Efficient Data Compression for 3D Sparse TPC via Bicephalous Convolutional Autoencoder.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021
2020
Networked experiments and modeling for producing collective identity in a group of human subjects using an iterative abduction framework.
Soc. Netw. Anal. Min., 2020
3D distributed deep learning framework for prediction of human intelligence from brain MRI.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020
2019
Proceedings of the 2019 Winter Simulation Conference, 2019
Proceedings of the 2019 IEEE/ACM Performance Modeling, 2019
Mechanistic and data-driven agent-based models to explain human behavior in online networked group anagram games.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019
2018
Pipelines and their Compositions for Modeling and Analysis of controlled Online Networked Social Science Experiments.
Proceedings of the 2018 Winter Simulation Conference, 2018
Proceedings of the Complex Networks and Their Applications VII, 2018
Generative Modeling of Human Behavior and Social Interactions Using Abductive Analysis.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018
2017
Proceedings of the 2017 Winter Simulation Conference, 2017
2016
From Network Reliability to the Ising Model: A Parallel Scheme for Estimating the Joint Density of States.
CoRR, 2016