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ORCIDXiao Wang 0004
Person information
- affiliation: Oak Ridge National Laboratory, Tennessee, USA
- affiliation (former): Purdue University, School of Electrical and Computer Engineering, West Lafayette, IN, USA
Other persons with the same name
- Xiao Wang — disambiguation page
- Xiao Wang 0001 — Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China (and 2 more)
- Xiao Wang 0002
![[0000-0002-0008-0659]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-0008-0659")
— Anhui University, School of Artificial Intelligence, Qingdao Academy of Intelligent Industries, Hefei, China (and 1 more) - Xiao Wang 0003 — Huazhong University of Science and Technology, Wuhan, China
- Xiao Wang 0005 — Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, China (and 1 more)
- Xiao Wang 0006 — University of Houston, National Center of Airborne Laser Mapping, TX, USA
- Xiao Wang 0007 — Xi'an Jiaotong University, Systems Engineering Institute, China
- Xiao Wang 0008 — Beijing Institute of Petrochemical Technology, School of Economics and Management, China (and 2 more)
- Xiao Wang 0009 — Zhengzhou University of Light Industry, School of Computer and Communication Engineering, China (and 1 more)
- Xiao Wang 0010 — Henan University, School of Mathematics and Statistics, China
- Xiao Wang 0011 — Peng Cheng Laboratory, Department of AI Computing, Shenzhen, China. (and 1 more)
- Xiao Wang 0012 (aka: Xiao Shaun Wang) — Northwestern University, Department of Computer Science, Evanston, IL, USA (and 3 more)
- Xiao Wang 0013 — Xi'an Jiaotong University, Department of Computer Science and Technology, China
- Xiao Wang 0014 — Peng Cheng Laboratory, Shenzhen, China (and 1 more)
- Xiao Wang 0015 — University of Electronic Science and Technology of China, School of Life Science and Technology, Chengdu, China
- Xiao Wang 0016 — Nanjing University of Aeronautics and Astronautics, Department of Biomedical Engineering, China
- Xiao Wang 0017 — Beijing University of Posts and Telecommunications, School of Computer Science, China (and 2 more)
- Xiao Wang 0018 — Renren Inc., Beijing, China (and 1 more)
- Xiao Wang 0019 — Xi'an Jiaotong University, IAIR, China
- Xiao Wang 0020 — Fudan University, MoE Key Laboratory for Information Science of Electromagnetic Waves, Shanghai, China
- Xiao Wang 0021 — Tsinghua University, Institute of Microelectronics, Beijing, China
- Xiao Wang 0022 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China
- Xiao Wang 0023 — Shanghai Universityn School of Computer Engineering and Science, China
- Xiao Wang 0024 — TU Dresden, Institut für Kartographie, Germany
- Xiao Wang 0025 — Harbin Institute of Technology, State Key Laboratory of Robotics and System, China
- Xiao Wang 0026 — Chongqing University of Technology, MoE Key Laboratory of Advanced Manufacturing Techniques for Automobile Parts, China
- Xiao Wang 0027 — Chongqing University, State Key Laboratory of Mechanical Transmissions, School of Automotive Engineering, China
- Xiao Wang 0028 — Boston University, MA, USA
- Xiao Wang 0029 — Wuhan University of Science and Technology, China (and 2 more)
- Xiao Wang 0030 — Stevens Institute of Technology, School of Systems and Enterprises, Hoboken, NJ, USA
- Xiao Wang 0031 — Virginia Polytechnic Institute and State University, Department of Electrical and Computer Engineering, Arlington, VA, USA
- Xiao Wang 0032 — University of Wisconsin-Madison, Madison, WI, USA
- Xiao Wang 0033 — Peking University, College of Chemistry and Molecular Engineering, Beijing, China
- Xiao Wang 0034 — Beihang University, School of Astronautics, Beijing, China
- Xiao Wang 0035 — Arizona State University, School of Biological and Health Systems Engineering, Tempe, AZ, USA (and 1 more)
- Xiao Wang 0036 — Singapore University of Technology and Design, Singapore
- Xiao Wang 0037 — International Center for Advanced Internet Research, Northwestern University, Chicago, IL, USA
- Xiao Wang 0038 — Google Brain, Zurich, Switzerland
- Xiao Wang 0039 — University of Essex, Colchester, UK
- Xiao Wang 0040 — Carnegie Mellon University, USA
- Xiao Wang 0041 — National University of Defense Technology, Department of Mathematics, Changsha, China
- Xiao Wang 0042 — Fudan University, School of Computer Science, Shanghai, China
Other persons with a similar name
- Xiaodong Wang (aka: XiaoDong Wang, Xiao-Dong Wang, Xiao Dong Wang) — disambiguation page
- Xiaofei Wang (aka: Xiao-Fei Wang) — disambiguation page
- Xiaofeng Wang (aka: Xiao-Feng Wang) — disambiguation page
- Xiaohan Wang (aka: Xiao-han Wang, Xiao-Han Wang) — disambiguation page
- Xiaohong Wang (aka: Xiao-Hong Wang) — disambiguation page
- Xiaoli Wang (aka: Xiao-Li Wang) — disambiguation page
- Xiaoming Wang (aka: Xiao-Ming Wang, Xiao-ming Wang) — disambiguation page
- Xiaoyu Wang (aka: Xiao-Yu Wang, Xiao-yu Wang, Xiao Yu Wang) — disambiguation page
- Xiao Fan Wang 0001 (aka: Xiaofan Wang 0001) — Shanghai Jiao Tong University, Department of Automation, China (and 4 more)
- Xiaogang Wang 0001 (aka: Xiao-Gang Wang 0001) — Chinese University of Hong Kong, Department of Electrical Engineering, CUHK-SenseTime Joint Laboratory, Hong Kong (and 1 more)
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2020 – today
- 2024
[j6]Yu Xue, Jiajie Zha, Mohamed Wahib, Tinghui Ouyang, Xiao Wang:
Neural architecture search via similarity adaptive guidance. Appl. Soft Comput. 162: 111821 (2024)- [j5]Yu Xue, Weinan Tong, Ferrante Neri, Peng Chen, Tao Luo, Liangli Zhen, Xiao Wang:
Evolutionary Architecture Search for Generative Adversarial Networks Based on Weight Sharing. IEEE Trans. Evol. Comput. 28(3): 653-667 (2024) - [j4]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:
MedNAS: Multiscale Training-Free Neural Architecture Search for Medical Image Analysis. IEEE Trans. Evol. Comput. 28(3): 668-681 (2024) - [c18]Lingqi Zhang, Ryan Barton, Peng Chen, Xiao Wang, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib:
Investigating Nvidia GPU Architecture Trends via Microbenchmarks. CLUSTER Workshops 2024: 174-175 - [c17]Du Wu, Peng Chen, Xiao Wang, Isaac Lyngaas, Takaaki Miyajima, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib:
Real-time High-resolution X-Ray Computed Tomography. ICS 2024: 110-123 - [c16]Sajal Dash, Isaac Lyngaas, Junqi Yin, Xiao Wang, Romain Egele, J. Austin Ellis, Matthias Maiterth, Guojing Cong, Feiyi Wang, Prasanna Balaprakash:
Optimizing Distributed Training on Frontier for Large Language Models. ISC 2024: 1-11 - [i18]Enzhi Zhang, Isaac Lyngaas, Peng Chen, Xiao Wang, Jun Igarashi, Yuankai Huo, Mohamed Wahib, Masaharu Munetomo:
Adaptive Patching for High-resolution Image Segmentation with Transformers. CoRR abs/2404.09707 (2024) - [i17]Xiao Wang, Aristeidis Tsaris, Siyan Liu, Jong-Youl Choi, Ming Fan, Wei Zhang, Junqi Yin, Moetasim Ashfaq, Dan Lu, Prasanna Balaprakash:
ORBIT: Oak Ridge Base Foundation Model for Earth System Predictability. CoRR abs/2404.14712 (2024) - [i16]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:
Sequence Length Scaling in Vision Transformers for Scientific Images on Frontier. CoRR abs/2405.15780 (2024) - [i15]Siqi Lu, Junlin Guo, James Zimmer-Dauphinee, Jordan M. Nieusma, Xiao Wang, Parker VanValkenburgh, Steven A. Wernke, Yuankai Huo:
AI Foundation Models in Remote Sensing: A Survey. CoRR abs/2408.03464 (2024) - [i14]Zhengyi Lu, Hao Liang, Xiao Wang, Xinqiang Yan, Yuankai Huo:
Optimizing Transmit Field Inhomogeneity of Parallel RF Transmit Design in 7T MRI using Deep Learning. CoRR abs/2408.11323 (2024) - 2023
- [c15]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:
Physics guided machine learning for multi-material decomposition of tissues from dual-energy CT scans of simulated breast models with calcifications. High Performance Computing for Imaging 2023: 1-7 - [c14]Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka:
Exploiting Scratchpad Memory for Deep Temporal Blocking: A case study for 2D Jacobian 5-point iterative stencil kernel (j2d5pt). GPGPU@PPoPP 2023: 34-35 - [c13]Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka:
PERKS: a Locality-Optimized Execution Model for Iterative Memory-bound GPU Applications. ICS 2023: 167-179 - [c12]Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka:
Revisiting Temporal Blocking Stencil Optimizations. ICS 2023: 251-263 - [i13]Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka:
Revisiting Temporal Blocking Stencil Optimizations. CoRR abs/2305.07390 (2023) - [i12]Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka:
Exploiting Scratchpad Memory for Deep Temporal Blocking: A case study for 2D Jacobian 5-point iterative stencil kernel (j2d5pt). CoRR abs/2306.03336 (2023) - [i11]Haoju Leng, Ruining Deng, Shunxing Bao, Dazheng Fang, Bryan A. Millis, Yucheng Tang, Haichun Yang, Xiao Wang, Yifan Peng, Lipeng Wan, Yuankai Huo:
High-performance Data Management for Whole Slide Image Analysis in Digital Pathology. CoRR abs/2308.05784 (2023) - [i10]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:
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies. CoRR abs/2310.04610 (2023) - [i9]Xiao Wang, Isaac Lyngaas, Aristeidis Tsaris, Peng Chen, Sajal Dash, Mayanka Chandra Shekar, Tao Luo, Hong-Jun Yoon, Mohamed Wahib, John Gounley:
Ultra-Long Sequence Distributed Transformer. CoRR abs/2311.02382 (2023) - [i8]Sajal Dash, Isaac Lyngaas, Junqi Yin, Xiao Wang, Romain Egele, Guojing Cong, Feiyi Wang, Prasanna Balaprakash:
Optimizing Distributed Training on Frontier for Large Language Models. CoRR abs/2312.12705 (2023) - 2022
- [j3]Jintao Meng, Chen Zhuang, Peng Chen, Mohamed Wahib, Bertil Schmidt, Xiao Wang, Haidong Lan, Dou Wu, Minwen Deng, Yanjie Wei, Shengzhong Feng:
Automatic Generation of High-Performance Convolution Kernels on ARM CPUs for Deep Learning. IEEE Trans. Parallel Distributed Syst. 33(11): 2885-2899 (2022) - [c11]Xiao Wang, Aristeidis Tsaris, Debangshu Mukherjee, Mohamed Wahib, Peng Chen, Mark Oxley, Olga Ovchinnikova, Jacob D. Hinkle:
Image Gradient Decomposition for Parallel and Memory-Efficient Ptychographic Reconstruction. SC 2022: 8:1-8:13 - [i7]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:
SHREC 2021: Classification in cryo-electron tomograms. CoRR abs/2203.10035 (2022) - [i6]Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Satoshi Matsuoka:
Persistent Kernels for Iterative Memory-bound GPU Applications. CoRR abs/2204.02064 (2022) - [i5]Xiao Wang, Aristeidis Tsaris, Debangshu Mukherjee, Mohamed Wahib, Peng Chen, Mark Oxley, Olga Ovchinnikova, Jacob D. Hinkle:
Image Gradient Decomposition for Parallel and Memory-Efficient Ptychographic Reconstruction. CoRR abs/2205.06327 (2022) - 2021
- [c10]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:
SHREC 2021: Classification in Cryo-electron Tomograms. 3DOR 2021: 5-17 - [c9]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:
SHREC 2021: Surface-based Protein Domains Retrieval. 3DOR 2021: 19-26 - [c8]Qianjiang Hu, Xiao Wang, Wei Hu, Guo-Jun Qi:
AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations From Self-Trained Negative Adversaries. CVPR 2021: 1074-1083 - [c7]Peng Chen, Mohamed Wahib, Xiao Wang, Shin'ichiro Takizawa, Takahiro Hirofuchi, Hirotaka Ogawa, Satoshi Matsuoka:
Performance portable back-projection algorithms on CPUs: agnostic data locality and vectorization optimizations. ICS 2021: 316-328 - [c6]Peng Chen, Mohamed Wahib, Xiao Wang, Takahiro Hirofuchi, Hirotaka Ogawa, Ander Biguri, Richard P. Boardman, Thomas Blumensath, Satoshi Matsuoka:
Scalable FBP decomposition for cone-beam CT reconstruction. SC 2021: 9 - [i4]Xiao Wang, Guo-Jun Qi:
Contrastive Learning with Stronger Augmentations. CoRR abs/2104.07713 (2021) - [i3]Peng Chen, Mohamed Wahib, Xiao Wang, Shin'ichiro Takizawa, Takahiro Hirofuchi, Hirotaka Ogawa, Satoshi Matsuoka:
Performance Portable Back-projection Algorithms on CPUs: Agnostic Data Locality and Vectorization Optimizations. CoRR abs/2104.13248 (2021) - 2020
- [j2]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:
SHREC 2020: Classification in cryo-electron tomograms. Comput. Graph. 91: 279-289 (2020) - [j1]Venkatesh Sridhar, Xiao Wang, Gregery T. Buzzard, Charles A. Bouman:
Distributed Iterative CT Reconstruction Using Multi-Agent Consensus Equilibrium. IEEE Trans. Computational Imaging 6: 1153-1166 (2020) - [i2]Qianjiang Hu, Xiao Wang, Wei Hu, Guo-Jun Qi:
AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries. CoRR abs/2011.08435 (2020)
2010 – 2019
- 2019
- [c5]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:
Consensus equilibrium framework for super-resolution and extreme-scale CT reconstruction. SC 2019: 86:1-86:23 - [i1]Xiao Wang, Daisuke Kihara, Jiebo Luo, Guo-Jun Qi:
EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning. CoRR abs/1911.09265 (2019) - 2017
- [c4]Amit Sabne, Xiao Wang, Sherman J. Kisner, Charles A. Bouman, Anand Raghunathan, Samuel P. Midkiff:
Model-based Iterative CT Image Reconstruction on GPUs. PPoPP 2017: 207-220 - [c3]Xiao Wang, Amit Sabne, Putt Sakdhnagool, Sherman J. Kisner, Charles A. Bouman, Samuel P. Midkiff:
Massively parallel 3D image reconstruction. SC 2017: 3 - 2016
- [c2]Xiao Wang, K. Aditya Mohan, Sherman J. Kisner, Charles A. Bouman, Samuel P. Midkiff:
Fast voxel line update for time-space image reconstruction. ICASSP 2016: 1209-1213 - [c1]Xiao Wang, Amit Sabne, Sherman J. Kisner, Anand Raghunathan, Charles A. Bouman, Samuel P. Midkiff:
High performance model based image reconstruction. PPoPP 2016: 2:1-2:12
Coauthor Index
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