Fast voxel line update for time-space image reconstruction. - Xiao Wang 004; K. Aditya Mohan; Sherman J. Kisner; Charles A. Bouman; Samuel P. Midkiff (ICASSP, 2016)

High performance model based image reconstruction. - Xiao Wang 004; Amit Sabne; Sherman J. Kisner; Anand Raghunathan; Charles A. Bouman; Samuel P. Midkiff (PPoPP, 2016)

Model-based Iterative CT Image Reconstruction on GPUs. - Amit Sabne; Xiao Wang 004; Sherman J. Kisner; Charles A. Bouman; Anand Raghunathan; Samuel P. Midkiff (PPoPP, 2017)

Massively parallel 3D image reconstruction. - Xiao Wang 004; Amit Sabne; Putt Sakdhnagool; Sherman J. Kisner; Charles A. Bouman; Samuel P. Midkiff (SC, 2017)

Consensus equilibrium framework for super-resolution and extreme-scale CT reconstruction. - Xiao Wang 004; Venkatesh Sridhar; Zahra Ronaghi; Rollin C. Thomas; Jack Deslippe; Dilworth Parkinson; Gregery T. Buzzard; Samuel P. Midkiff; Charles A. Bouman; Simon K. Warfield (SC, 2019)

EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning. - Xiao Wang 004; Daisuke Kihara; Jiebo Luo 001; Guo-Jun Qi (CoRR, 2019)

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 001; Xuefeng Cui; Fa Zhang 001; Emmanuel Moebel; Xiao Wang 004; Daisuke Kihara; et al. (Comput. Graph., 2020)

Distributed Iterative CT Reconstruction Using Multi-Agent Consensus Equilibrium. - Venkatesh Sridhar; Xiao Wang 004; Gregery T. Buzzard; Charles A. Bouman (IEEE Trans. Computational Imaging, 2020)

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 004; Daisuke Kihara; Emmanuel Moebel; Nguyen P. Nguyen; Tommi A. White; Filiz Bunyak; et al. (3DOR, 2021)

SHREC 2021: Surface-based Protein Domains Retrieval. - Florent Langenfeld; Tunde Aderinwale; Charles Christoffer; Woong-Hee Shin; Genki Terashi; Xiao Wang 004; Daisuke Kihara; Halim Benhabiles; Karim Hammoudi; Adnane Cabani; Féryal Windal; Mahmoud Melkemi; et al. (3DOR, 2021)

AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations From Self-Trained Negative Adversaries. - Qianjiang Hu; Xiao Wang 004; Wei Hu 003; Guo-Jun Qi (CVPR, 2021)

Performance portable back-projection algorithms on CPUs: agnostic data locality and vectorization optimizations. - Peng Chen 035; Mohamed Wahib; Xiao Wang 004; Shin'ichiro Takizawa; Takahiro Hirofuchi; Hirotaka Ogawa; Satoshi Matsuoka (ICS, 2021)

Scalable FBP decomposition for cone-beam CT reconstruction. - Peng Chen 035; Mohamed Wahib; Xiao Wang 004; Takahiro Hirofuchi; Hirotaka Ogawa; Ander Biguri; Richard P. Boardman; Thomas Blumensath; Satoshi Matsuoka (SC, 2021)

Contrastive Learning with Stronger Augmentations. - Xiao Wang 004; Guo-Jun Qi (CoRR, 2021)

Image Gradient Decomposition for Parallel and Memory-Efficient Ptychographic Reconstruction. - Xiao Wang 004; Aristeidis Tsaris; Debangshu Mukherjee; Mohamed Wahib; Peng Chen 035; Mark Oxley; Olga Ovchinnikova; Jacob D. Hinkle (SC, 2022)

Persistent Kernels for Iterative Memory-bound GPU Applications. - Lingqi Zhang 001; Mohamed Wahib; Peng Chen 035; Jintao Meng 001; Xiao Wang 004; Satoshi Matsuoka (CoRR, 2022)

Automatic Generation of High-Performance Convolution Kernels on ARM CPUs for Deep Learning. - Jintao Meng 001; Chen Zhuang; Peng Chen 035; Mohamed Wahib; Bertil Schmidt; Xiao Wang 004; Haidong Lan; Dou Wu; Minwen Deng; Yanjie Wei; Shengzhong Feng (IEEE Trans. Parallel Distributed Syst., 2022)

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 004 (High Performance Computing for Imaging, 2023)

Exploiting Scratchpad Memory for Deep Temporal Blocking: A case study for 2D Jacobian 5-point iterative stencil kernel (j2d5pt). - Lingqi Zhang 001; Mohamed Wahib; Peng Chen 035; Jintao Meng 001; Xiao Wang 004; Toshio Endo; Satoshi Matsuoka (GPGPU@PPoPP, 2023)

PERKS: a Locality-Optimized Execution Model for Iterative Memory-bound GPU Applications. - Lingqi Zhang 001; Mohamed Wahib; Peng Chen 035; Jintao Meng 001; Xiao Wang 004; Toshio Endo; Satoshi Matsuoka (ICS, 2023)

Revisiting Temporal Blocking Stencil Optimizations. - Lingqi Zhang 001; Mohamed Wahib; Peng Chen 035; Jintao Meng 001; Xiao Wang 004; Toshio Endo; Satoshi Matsuoka (ICS, 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 004; Yifan Peng 002; Lipeng Wan; Yuankai Huo (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 004; Chengming Zhang 006; Masahiro Tanaka; Xiaoxia Wu; Jeff Rasley; Ammar Ahmad Awan; Connor Holmes; Martin Cai; et al. (CoRR, 2023)

Ultra-Long Sequence Distributed Transformer. - Xiao Wang 004; Isaac Lyngaas; Aristeidis Tsaris; Peng Chen 035; Sajal Dash; Mayanka Chandra Shekar; Tao Luo 014; Hong-Jun Yoon; Mohamed Wahib; John Gounley (CoRR, 2023)

Optimizing Distributed Training on Frontier for Large Language Models. - Sajal Dash; Isaac Lyngaas; Junqi Yin; Xiao Wang 004; Romain Egele; Guojing Cong; Feiyi Wang; Prasanna Balaprakash (CoRR, 2023)

Investigating Nvidia GPU Architecture Trends via Microbenchmarks. - Lingqi Zhang 001; Ryan Barton; Peng Chen 035; Xiao Wang 004; Toshio Endo; Satoshi Matsuoka; Mohamed Wahib (CLUSTER Workshops, 2024)

Real-time High-resolution X-Ray Computed Tomography. - Du Wu; Peng Chen 035; Xiao Wang 004; Isaac Lyngaas; Takaaki Miyajima; Toshio Endo; Satoshi Matsuoka; Mohamed Wahib (ICS, 2024)

ORBIT: Oak Ridge Base Foundation Model for Earth System Predictability. - Xiao Wang 004; Siyan Liu; Aristeidis Tsaris; Jong-Youl Choi; Ashwin M. Aji; Ming Fan; Wei Zhang 261; Junqi Yin; Moetasim Ashfaq; Dan Lu 001; Prasanna Balaprakash (SC, 2024)

autoGEMM: Pushing the Limits of Irregular Matrix Multiplication on Arm Architectures. - Du Wu; Jintao Meng 001; Wenxi Zhu; Minwen Deng; Xiao Wang 004; Tao Luo 014; Mohamed Wahib; Yanjie Wei (SC, 2024)

Adaptive Patching for High-resolution Image Segmentation with Transformers. - Enzhi Zhang; Isaac Lyngaas; Peng Chen 035; Xiao Wang 004; Jun Igarashi; Yuankai Huo; Masaharu Munetomo; Mohamed Wahib (SC, 2024)

Optimizing Distributed Training on Frontier for Large Language Models. - Sajal Dash; Isaac Lyngaas; Junqi Yin; Xiao Wang 004; Romain Egele; J. Austin Ellis; Matthias Maiterth; Guojing Cong; Feiyi Wang; Prasanna Balaprakash (ISC, 2024)

Neural architecture search via similarity adaptive guidance. - Yu Xue 003; Jiajie Zha; Mohamed Wahib; Tinghui Ouyang; Xiao Wang 004 (Appl. Soft Comput., 2024)

ORBIT: Oak Ridge Base Foundation Model for Earth System Predictability. - Xiao Wang 004; Aristeidis Tsaris; Siyan Liu; Jong-Youl Choi; Ming Fan; Wei Zhang 261; Junqi Yin; Moetasim Ashfaq; Dan Lu 001; Prasanna Balaprakash (CoRR, 2024)

Sequence Length Scaling in Vision Transformers for Scientific Images on Frontier. - Aristeidis Tsaris; Chengming Zhang 006; Xiao Wang 004; Junqi Yin; Siyan Liu; Moetasim Ashfaq; Ming Fan; Jong-Youl Choi; Mohamed Wahib; Dan Lu 001; Prasanna Balaprakash; Fei-Yue Wang 001 (CoRR, 2024)

AI Foundation Models in Remote Sensing: A Survey. - Siqi Lu; Junlin Guo; James Zimmer-Dauphinee; Jordan M. Nieusma; Xiao Wang 004; Parker VanValkenburgh; Steven A. Wernke; Yuankai Huo (CoRR, 2024)

Optimizing Transmit Field Inhomogeneity of Parallel RF Transmit Design in 7T MRI using Deep Learning. - Zhengyi Lu; Hao Liang; Xiao Wang 004; Xinqiang Yan; Yuankai Huo (CoRR, 2024)

MedNAS: Multiscale Training-Free Neural Architecture Search for Medical Image Analysis. - Yan Wang 015; Liangli Zhen; Jianwei Zhang 016; Miqing Li; Lei Zhang 005; Zizhou Wang; Yangqin Feng; Yu Xue 003; Xiao Wang 004; Zheng Chen 012; Tao Luo 014; Rich Siow Mong Goh; et al. (IEEE Trans. Evol. Comput., 2024)

Evolutionary Architecture Search for Generative Adversarial Networks Based on Weight Sharing. - Yu Xue 003; Weinan Tong; Ferrante Neri; Peng Chen 035; Tao Luo 014; Liangli Zhen; Xiao Wang 004 (IEEE Trans. Evol. Comput., 2024)

Scale-up Unlearnable Examples Learning with High-Performance Computing. - Yanfan Zhu; Isaac Lyngaas; Muralikrishnan Gopalakrishnan Meena; Mary Ellen Koran; Bradley A. Malin; Daniel Moyer; Shunxing Bao; Anuj J. Kapadia; Xiao Wang 004; Bennett A. Landman; Yuankai Huo (CoRR, 2025)

Fast-RF-Shimming: Accelerate RF Shimming in 7T MRI using Deep Learning. - Zhengyi Lu; Hao Liang; Ming Lu; Xiao Wang 004; Xinqiang Yan; Yuankai Huo (CoRR, 2025)

CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement. - Chenrui Ma; Rongchang Zhao; Xi Xiao; Hongyang Xie; Tianyang Wang; Xiao Wang 004; Hao Zhang; Yanning Shen (CoRR, 2025)

Visual Variational Autoencoder Prompt Tuning. - Xi Xiao; Yunbei Zhang; Yanshuh Li; Xingjian Li 002; Tianyang Wang; Jihun Hamm; Xiao Wang 004; Min Xu 009 (CoRR, 2025)

4D Multimodal Co-attention Fusion Network with Latent Contrastive Alignment for Alzheimer's Diagnosis. - Yuxiang Wei; Yanteng Zhang; Xi Xiao; Tianyang Wang; Xiao Wang 004; Vince D. Calhoun (CoRR, 2025)

DeepAndes: A Self-Supervised Vision Foundation Model for Multi-Spectral Remote Sensing Imagery of the Andes. - Junlin Guo; James Zimmer-Dauphinee; Jordan M. Nieusma; Siqi Lu; Quan Liu 002; Ruining Deng; Can Cui 006; Jialin Yue; Yizhe Lin; Tianyuan Yao; Juming Xiong; Junchao Zhu; et al. (CoRR, 2025)

ORBIT-2: Scaling Exascale Vision Foundation Models for Weather and Climate Downscaling. - Xiao Wang 004; Jong-Youl Choi; Takuya Kurihaya; Isaac Lyngaas; Hong-Jun Yoon; Ming Fan; Nasik Muhammad Nafi; Aristeidis Tsaris; Ashwin M. Aji; Maliha Hossain; Mohamed Wahib; Dali Wang; et al. (CoRR, 2025)

Describe Anything in Medical Images. - Xi Xiao; Yunbei Zhang; Thanh-Huy Nguyen; Ba Thinh Lam; Janet Wang; Lin Zhao; Jihun Hamm; Tianyang Wang; Xingjian Li 002; Xiao Wang 004; Hao Xu; Tianming Liu; et al. (CoRR, 2025)

Paradigm Shift in Infrastructure Inspection Technology: Leveraging High-performance Imaging and Advanced AI Analytics to Inspect Road Infrastructure. - Du Wu; Enzhi Zhang; Isaac Lyngaas; Xiao Wang 004; Amir Ziabari; Tao Luo 014; Peng Chen 035; Kento Sato; Fumiyoshi Shoji; Takaki Hatsui; Kentaro Uesugi; Akira Seo; et al. (CoRR, 2025)

MoRE-Brain: Routed Mixture of Experts for Interpretable and Generalizable Cross-Subject fMRI Visual Decoding. - Yuxiang Wei; Yanteng Zhang; Xi Xiao; Tianyang Wang; Xiao Wang 004; Vince D. Calhoun (CoRR, 2025)

CryoCCD: Conditional Cycle-consistent Diffusion with Biophysical Modeling for Cryo-EM Synthesis. - Runmin Jiang; Genpei Zhang; Yuntian Yang; Siqi Wu; Yuheng Zhang; Wanyue Feng; Yizhou Zhao; Xi Xiao; Xiao Wang 004; Tianyang Wang; Xingjian Li 002; Min Xu 009 (CoRR, 2025)

Distributed Cross-Channel Hierarchical Aggregation for Foundation Models. - Aristeidis Tsaris; Isaac Lyngaas; John Lagregren; Mohamed Wahib; Larry M. York; Prasanna Balaprakash; Dan Lu 001; Yi-Fei Wang; Xiao Wang 004 (CoRR, 2025)

Visual Instance-aware Prompt Tuning. - Xi Xiao; Yunbei Zhang; Xingjian Li 002; Tianyang Wang; Xiao Wang 004; Yuxiang Wei; Jihun Hamm; Min Xu 009 (CoRR, 2025)

FOCUS: Fused Observation of Channels for Unveiling Spectra. - Xi Xiao; Aristeidis Tsaris; Anika Tabassum; John H. Lagergren; Larry M. York; Tianyang Wang; Xiao Wang 004 (CoRR, 2025)

RoadBench: A Vision-Language Foundation Model and Benchmark for Road Damage Understanding. - Xi Xiao; Yunbei Zhang; Janet Wang; Lin Zhao; Yuxiang Wei; Hengjia Li; Yanshu Li; Xiao Wang 004; Swalpa Kumar Roy; Hao Xu; Tianyang Wang (CoRR, 2025)