Xiao Wang

Orcid: 0000-0001-6545-1943

Affiliations:
  • Oak Ridge National Laboratory, Tennessee, USA
  • Purdue University, School of Electrical and Computer Engineering, West Lafayette, IN, USA (former)


According to our database1, Xiao Wang authored at least 35 papers between 2016 and 2024.

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Bibliography

2024
Evolutionary Architecture Search for Generative Adversarial Networks Based on Weight Sharing.
IEEE Trans. Evol. Comput., June, 2024

MedNAS: Multiscale Training-Free Neural Architecture Search for Medical Image Analysis.
IEEE Trans. Evol. Comput., June, 2024

Optimizing Transmit Field Inhomogeneity of Parallel RF Transmit Design in 7T MRI using Deep Learning.
CoRR, 2024

AI Foundation Models in Remote Sensing: A Survey.
CoRR, 2024

Sequence Length Scaling in Vision Transformers for Scientific Images on Frontier.
CoRR, 2024

ORBIT: Oak Ridge Base Foundation Model for Earth System Predictability.
CoRR, 2024

Adaptive Patching for High-resolution Image Segmentation with Transformers.
CoRR, 2024

Neural architecture search via similarity adaptive guidance.
Appl. Soft Comput., 2024

Optimizing Distributed Training on Frontier for Large Language Models.
Proceedings of the ISC High Performance 2024 Research Paper Proceedings (39th International Conference), 2024

Real-time High-resolution X-Ray Computed Tomography.
Proceedings of the 38th ACM International Conference on Supercomputing, 2024

2023
Optimizing Distributed Training on Frontier for Large Language Models.
CoRR, 2023

Ultra-Long Sequence Distributed Transformer.
CoRR, 2023

DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies.
CoRR, 2023

High-performance Data Management for Whole Slide Image Analysis in Digital Pathology.
CoRR, 2023

Revisiting Temporal Blocking Stencil Optimizations.
Proceedings of the 37th International Conference on Supercomputing, 2023

PERKS: a Locality-Optimized Execution Model for Iterative Memory-bound GPU Applications.
Proceedings of the 37th International Conference on Supercomputing, 2023

Exploiting Scratchpad Memory for Deep Temporal Blocking: A case study for 2D Jacobian 5-point iterative stencil kernel (j2d5pt).
Proceedings of the 15th Workshop on General Purpose Processing Using GPU, 2023

Physics guided machine learning for multi-material decomposition of tissues from dual-energy CT scans of simulated breast models with calcifications.
Proceedings of the High Performance Computing for Imaging 2023, 2023

2022
Automatic Generation of High-Performance Convolution Kernels on ARM CPUs for Deep Learning.
IEEE Trans. Parallel Distributed Syst., 2022

Persistent Kernels for Iterative Memory-bound GPU Applications.
CoRR, 2022

Image Gradient Decomposition for Parallel and Memory-Efficient Ptychographic Reconstruction.
Proceedings of the SC22: International Conference for High Performance Computing, 2022

2021
Contrastive Learning with Stronger Augmentations.
CoRR, 2021

Scalable FBP decomposition for cone-beam CT reconstruction.
Proceedings of the International Conference for High Performance Computing, 2021

Performance portable back-projection algorithms on CPUs: agnostic data locality and vectorization optimizations.
Proceedings of the ICS '21: 2021 International Conference on Supercomputing, 2021

AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations From Self-Trained Negative Adversaries.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021



2020
Distributed Iterative CT Reconstruction Using Multi-Agent Consensus Equilibrium.
IEEE Trans. Computational Imaging, 2020

SHREC 2020: Classification in cryo-electron tomograms.
Comput. Graph., 2020

2019
EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning.
CoRR, 2019

Consensus equilibrium framework for super-resolution and extreme-scale CT reconstruction.
Proceedings of the International Conference for High Performance Computing, 2019

2017
Massively parallel 3D image reconstruction.
Proceedings of the International Conference for High Performance Computing, 2017

Model-based Iterative CT Image Reconstruction on GPUs.
Proceedings of the 22nd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2017

2016
High performance model based image reconstruction.
Proceedings of the 21st ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2016

Fast voxel line update for time-space image reconstruction.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016


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