Xiao Wang

According to our database, Xiao Wang authored at least 36 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Evolutionary Architecture Search for Generative Adversarial Networks Based on Weight Sharing.

Yu Xue, Weinan Tong, Ferrante Neri, Peng Chen, Tao Luo, Liangli Zhen, Xiao Wang

IEEE Trans. Evol. Comput., June, 2024

MedNAS: Multiscale Training-Free Neural Architecture Search for Medical Image Analysis.

Yan Wang, Liangli Zhen, Jianwei Zhang, Miqing Li, Lei Zhang, Zizhou Wang, Yangqin Feng, Yu Xue, Xiao Wang, Zheng Chen, Tao Luo, Rich Siow Mong Goh, Yong Liu

IEEE Trans. Evol. Comput., June, 2024

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

Zhengyi Lu, Hao Liang, Xiao Wang, Xinqiang Yan, Yuankai Huo

CoRR, 2024

AI Foundation Models in Remote Sensing: A Survey.

Siqi Lu, Junlin Guo, James Zimmer-Dauphinee, Jordan M. Nieusma, Xiao Wang, Parker VanValkenburgh, Steven A. Wernke, Yuankai Huo

CoRR, 2024

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

Aristeidis Tsaris, Chengming Zhang, Xiao Wang, Junqi Yin, Siyan Liu, Moetasim Ashfaq, Ming Fan, Jong-Youl Choi, Mohamed Wahib, Dan Lu, Prasanna Balaprakash, Fei-Yue Wang

CoRR, 2024

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

Xiao Wang, Aristeidis Tsaris, Siyan Liu, Jong-Youl Choi, Ming Fan, Wei Zhang, Junqi Yin, Moetasim Ashfaq, Dan Lu, Prasanna Balaprakash

CoRR, 2024

Adaptive Patching for High-resolution Image Segmentation with Transformers.

Enzhi Zhang, Isaac Lyngaas, Peng Chen, Xiao Wang, Jun Igarashi, Yuankai Huo, Mohamed Wahib, Masaharu Munetomo

CoRR, 2024

Neural architecture search via similarity adaptive guidance.

Yu Xue, Jiajie Zha, Mohamed Wahib, Tinghui Ouyang, Xiao Wang

Appl. Soft Comput., 2024

Optimizing Distributed Training on Frontier for Large Language Models.

Sajal Dash, Isaac Lyngaas, Junqi Yin, Xiao Wang, Romain Egele, J. Austin Ellis, Matthias Maiterth, Guojing Cong, Feiyi Wang, Prasanna Balaprakash

Proceedings of the ISC High Performance 2024 Research Paper Proceedings (39th International Conference), 2024

Real-time High-resolution X-Ray Computed Tomography.

Du Wu, Peng Chen, Xiao Wang, Isaac Lyngaas, Takaaki Miyajima, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib

Proceedings of the 38th ACM International Conference on Supercomputing, 2024

Investigating Nvidia GPU Architecture Trends via Microbenchmarks.

Lingqi Zhang, Ryan Barton, Peng Chen, Xiao Wang, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib

Proceedings of the IEEE International Conference on Cluster Computing, 2024

2023

Optimizing Distributed Training on Frontier for Large Language Models.

Sajal Dash, Isaac Lyngaas, Junqi Yin, Xiao Wang, Romain Egele, Guojing Cong, Feiyi Wang, Prasanna Balaprakash

CoRR, 2023

Ultra-Long Sequence Distributed Transformer.

Xiao Wang, Isaac Lyngaas, Aristeidis Tsaris, Peng Chen, Sajal Dash, Mayanka Chandra Shekar, Tao Luo, Hong-Jun Yoon, Mohamed Wahib, John Gounley

CoRR, 2023

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

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

CoRR, 2023

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

Haoju Leng, Ruining Deng, Shunxing Bao, Dazheng Fang, Bryan A. Millis, Yucheng Tang, Haichun Yang, Xiao Wang, Yifan Peng, Lipeng Wan, Yuankai Huo

CoRR, 2023

Revisiting Temporal Blocking Stencil Optimizations.

Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka

Proceedings of the 37th International Conference on Supercomputing, 2023

PERKS: a Locality-Optimized Execution Model for Iterative Memory-bound GPU Applications.

Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka

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).

Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka

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.

Muralikrishnan Gopalakrishnan Meena, Amirkoushyar Ziabari, Singanallur V. Venkatakrishnan, Isaac Lyngaas, Matthew R. Norman, Bálint Joó, Thomas L. Beck, Charles A. Bouman, Anuj J. Kapadia, Xiao Wang

Proceedings of the High Performance Computing for Imaging 2023, 2023

2022

Automatic Generation of High-Performance Convolution Kernels on ARM CPUs for Deep Learning.

Jintao Meng, Chen Zhuang, Peng Chen, Mohamed Wahib, Bertil Schmidt, Xiao Wang, Haidong Lan, Dou Wu, Minwen Deng, Yanjie Wei, Shengzhong Feng

IEEE Trans. Parallel Distributed Syst., 2022

Persistent Kernels for Iterative Memory-bound GPU Applications.

Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Satoshi Matsuoka

CoRR, 2022

Image Gradient Decomposition for Parallel and Memory-Efficient Ptychographic Reconstruction.

Xiao Wang, Aristeidis Tsaris, Debangshu Mukherjee, Mohamed Wahib, Peng Chen, Mark Oxley, Olga Ovchinnikova, Jacob D. Hinkle

Proceedings of the SC22: International Conference for High Performance Computing, 2022

2021

Contrastive Learning with Stronger Augmentations.

Xiao Wang, Guo-Jun Qi

CoRR, 2021

Scalable FBP decomposition for cone-beam CT reconstruction.

Peng Chen, Mohamed Wahib, Xiao Wang, Takahiro Hirofuchi, Hirotaka Ogawa, Ander Biguri, Richard P. Boardman, Thomas Blumensath, Satoshi Matsuoka

Proceedings of the International Conference for High Performance Computing, 2021

Performance portable back-projection algorithms on CPUs: agnostic data locality and vectorization optimizations.

Peng Chen, Mohamed Wahib, Xiao Wang, Shin'ichiro Takizawa, Takahiro Hirofuchi, Hirotaka Ogawa, Satoshi Matsuoka

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.

Qianjiang Hu, Xiao Wang, Wei Hu, Guo-Jun Qi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

SHREC 2021: Surface-based Protein Domains Retrieval.

Florent Langenfeld, Tunde Aderinwale, Charles Christoffer, Woong-Hee Shin, Genki Terashi, Xiao Wang, Daisuke Kihara, Halim Benhabiles, Karim Hammoudi, Adnane Cabani, Féryal Windal, Mahmoud Melkemi, Ekpo Otu, Reyer Zwiggelaar, David Hunter, Yonghuai Liu, Léa Sirugue, Huu-Nghia H. Nguyen, Tuan-Duy H. Nguyen, Vinh-Thuyen Nguyen-Truong, Danh Le, Hai-Dang Nguyen, Minh-Triet Tran, Matthieu Montès

Proceedings of the 14th Eurographics Workshop on 3D Object Retrieval, 2021

SHREC 2021: Classification in Cryo-electron Tomograms.

Ilja Gubins, Marten L. Chaillet, Gijs van der Schot, M. Cristina Trueba, Remco C. Veltkamp, Friedrich Förster, Xiao Wang, Daisuke Kihara, Emmanuel Moebel, Nguyen P. Nguyen, Tommi A. White, Filiz Bunyak, Giorgos Papoulias, Stavros Gerolymatos, Evangelia I. Zacharaki, Konstantinos Moustakas, Xiangrui Zeng, Sinuo Liu, Min Xu, Yaoyu Wang, Cheng Chen, Xuefeng Cui, Fa Zhang

Proceedings of the 14th Eurographics Workshop on 3D Object Retrieval, 2021

2020

Distributed Iterative CT Reconstruction Using Multi-Agent Consensus Equilibrium.

Venkatesh Sridhar, Xiao Wang, Gregery T. Buzzard, Charles A. Bouman

IEEE Trans. Computational Imaging, 2020

SHREC 2020: Classification in cryo-electron tomograms.

Ilja Gubins, Marten L. Chaillet, Gijs van der Schot, Remco C. Veltkamp, Friedrich Förster, Yu Hao, Xiaohua Wan, Xuefeng Cui, Fa Zhang, Emmanuel Moebel, Xiao Wang, Daisuke Kihara, Xiangrui Zeng, Min Xu, Nguyen P. Nguyen, Tommi A. White, Filiz Bunyak

Comput. Graph., 2020

2019

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

Xiao Wang, Daisuke Kihara, Jiebo Luo, Guo-Jun Qi

CoRR, 2019

Consensus equilibrium framework for super-resolution and extreme-scale CT reconstruction.

Xiao Wang, Venkatesh Sridhar, Zahra Ronaghi, Rollin C. Thomas, Jack Deslippe, Dilworth Parkinson, Gregery T. Buzzard, Samuel P. Midkiff, Charles A. Bouman, Simon K. Warfield

Proceedings of the International Conference for High Performance Computing, 2019

2017

Massively parallel 3D image reconstruction.

Xiao Wang, Amit Sabne, Putt Sakdhnagool, Sherman J. Kisner, Charles A. Bouman, Samuel P. Midkiff

Proceedings of the International Conference for High Performance Computing, 2017

Model-based Iterative CT Image Reconstruction on GPUs.

Amit Sabne, Xiao Wang, Sherman J. Kisner, Charles A. Bouman, Anand Raghunathan, Samuel P. Midkiff

Proceedings of the 22nd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2017

2016

High performance model based image reconstruction.

Xiao Wang, Amit Sabne, Sherman J. Kisner, Anand Raghunathan, Charles A. Bouman, Samuel P. Midkiff

Proceedings of the 21st ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2016

Fast voxel line update for time-space image reconstruction.

Xiao Wang, K. Aditya Mohan, Sherman J. Kisner, Charles A. Bouman, Samuel P. Midkiff

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016