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ORCIDZhe Wang 0059
Person information
- affiliation: Oak Ridge National Laboratory, Oak Ridge, TN, USA
Other persons with the same name
- Zhe Wang — disambiguation page
- Zhe Wang 0001
![[0000-0002-1367-7139]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-1367-7139")
— Griffith University, School of Information and Communication Technology, Australia - Zhe Wang 0002 — East China University of Science and Technology, Department of Computer Science and Engineering, Shanghai, China (and 1 more)
- Zhe Wang 0003 — Huawei Technologies Co. Ltd. (and 1 more)
- Zhe Wang 0004 — Columbia University, Department of Electrical Engineering, New York, NY, USA
- Zhe Wang 0005 — Nanjing University of Science and Technology, School of Computer Science and Engineering, China (and 3 more)
- Zhe Wang 0006 — SenseTime Group Limited (and 1 more)
- Zhe Wang 0007 — Jilin University, College of Computer Science and Technology, Changchun, China
- Zhe Wang 0008 — University of Stuttgart, Institute of Parallel and Distributed Systems, Germany
- Zhe Wang 0009 — University of Reading, UK
- Zhe Wang 0010 — Tsinghua University, Graduate School at Shenzhen, China
- Zhe Wang 0011 — University of Chinese Academy of Sciences, Beijing, China
- Zhe Wang 0012 — Zhejiang University, State Key Laboratory of Fluid Power and Mechatronic Systems, Hangzhou, China
- Zhe Wang 0013 — University of California, Irvine, CA, USA (and 2 more)
- Zhe Wang 0014 — Chinese Academy of Sciences, Institute of Automation, Beijing, China
- Zhe Wang 0015 — Shanghai Jiao Tong University, Department of Computer Science and Engineering, China
- Zhe Wang 0016 — Michigan State University, Department of Electrical and Computer Engineering, East Lansing, MI, USA
- Zhe Wang 0017 — University of Chinese Academy of Sciences, Institute of Computing Technology, Huairou, Beijing, China
- Zhe Wang 0018 — China Academy of Information and Communications Technology, Beijing, China (and 1 more)
- Zhe Wang 0019 — Peking University, Beijing, China
- Zhe Wang 0020 — University of Southern Caifornia, Los Angeles, CA, USA
- Zhe Wang 0021 — Ohio State University, Department of Electrical and Computer Engineering, Columbus, OH, USA
- Zhe Wang 0022 — McMaster University, Department of Electrical and Computer Engineering, Hamilton, ON, Canada
- Zhe Wang 0023 — Intel, USA (and 2 more)
- Zhe Wang 0024 — Beihang University, School of Computer Science and Engineering, State Key Laboratory of Software Development Environment, Beijing, China
- Zhe Wang 0025 — University of Virginia, Department of Computer Science, Charlottesville, VA, USA
- Zhe Wang 0026 — Northwestern Polytechnical University, Shaanxi Engineering Laboratory for Transmissions and Controls, Xi'an, China
- Zhe Wang 0027 — Tianjin University of Technology, Tianjin Key Laboratory for Control Theory and Applications in Complicated Systems, China
- Zhe Wang 0028 — Boston University, Bioinformatics Program, MA, USA
- Zhe Wang 0029 — Lincoln University, Christchurch, New Zealand (and 2 more)
- Zhe Wang 0030 — Duke University, Department of Mathematics, Durham, NC, USA
- Zhe Wang 0031 — Beijing University of Posts and Telecommunications, School of Cyberspace Security, China
- Zhe Wang 0032 — University of Toyama, Faculty of Engineering, Japan
- Zhe Wang 0033 — University of Waterloo, School of Computer Science, ON, Canada
- Zhe Wang 0034 — Qufu Normal University, Department of Physical Education, Rizhao, China
- Zhe Wang 0035 — Tsinghua University, Department of Electrical Engineering, State Key Laboratory of Power System, Beijing, China
- Zhe Wang 0036 — Oakland University, Department of Chemistry, Rochester, MI, USA (and 3 more)
- Zhe Wang 0037 — Guangxi University for Nationalities, Institute of Artificial Intelligence, Nanning, China (and 1 more)
- Zhe Wang 0038 — Beijing Jiaotong University, Institute of Information Science, China
- Zhe Wang 0039 — Central China Normal University, School of Public Administration, Wuhan, China
- Zhe Wang 0040 — Chongqing University, School of Big Data and Software Engineering, China
- Zhe Wang 0041 — Zhejiang University, Innovation Institute for Artificial Intelligence in Medicine, College of Pharmaceutical Sciences, Hangzhou, China
- Zhe Wang 0042 — University of Exeter, College of Engineering, Mathematics and Physical Sciences, Exeter, UK
- Zhe Wang 0043 — Xijing Hospital, Fourth Military Medical University, Xi'an, China
- Zhe Wang 0044 — Xidian University, China
- Zhe Wang 0045 — University of Louisville, Louisville, KY, USA
- Zhe Wang 0046 — Wuhan University of Technology, Wuhan, China
- Zhe Wang 0047 — National University of Defense Technology, Changsha, China
- Zhe Wang 0048 — East China Normal University, Shanghai, China
- Zhe Wang 0049 — Peking University Shenzhen Graduate School, Peking University, Shenzhen, China
- Zhe Wang 0050 — Chongqing University, Chongqing, China
- Zhe Wang 0051 — Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong
- Zhe Wang 0052 — Xi'an University of Posts and Telecommunications, China
- Zhe Wang 0053 — Sichuan Tourism University, China
- Zhe Wang 0054 — Nanyang Technological University, Singapore
- Zhe Wang 0055 — Google DeepMind
- Zhe Wang 0056 — FoundationDB, Cupertino, California, USA
- Zhe Wang 0057 — Nanjing Normal University, Nanjing, China
- Zhe Wang 0058 — Hohai University, Changzhou, China
- Zhe Wang 0060 — Meituan
- Zhe Wang 0061 — South China Agricultural University, Guangzhou, China
- Zhe Wang 0062 — Jiangsu Ocean University, Lianyungang, China
- Zhe Wang 0063 — Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Zhe Wang 0064 — King's College London, London, UK
- Zhe Wang 0065 — Southeast University, Nanjing, China
- Zhe Wang 0066 — Wuhan University of Technology, Wuhan, China
- Zhe Wang 0067 — Northeastern University, Shenyang, China
- Zhe Wang 0068 — Meituan Group, Beijing, China
- Zhe Wang 0069 — Xidian University, Xian, China
- Zhe Wang 0070 — Tsinghua University, Institute for AI Industry, Research (AIR), Beijing, China
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Journal Articles
- 2025
[j7]Zhe Wang, Kenneth Moreland, Matthew Larsen, James Kress, Hank Childs, Guan Li, Guihua Shan, David Pugmire:
In Situ Workload Estimation for Block Assignment and Duplication in Parallelization-Over-Data Particle Advection. Comput. Graph. Forum 44(3) (2025)- [j6]James P. Ahrens, Marco Arienti, Utkarsh Ayachit, Janine Bennett, Roba Binyahib, Ayan Biswas, Peer-Timo Bremer, Eric Brugger, Roxana Bujack, Hamish A. Carr, Jieyang Chen, Hank Childs, Soumya Dutta, Abdelilah Essiari, Berk Geveci, Cyrus Harrison, Subhashis Hazarika, Megan Hickman Fulp, Petar Hristov, Xuan Huang, Joseph A. Insley, Yuya Kawakami, Chloe Keilers, James Kress, Matthew Larsen, Dan Lipsa, Meghanto Majumder, Nicole Marsaglia, Victor A. Mateevitsi, Valerio Pascucci, John Patchett, Saumil Patel, Steve Petruzza, David Pugmire, Silvio Rizzi, David H. Rogers, Oliver Rübel, Jorge Sebastian Salinas, Sudhanshu Sane, Sergei Shudler, Alexandra Stewart, Karen C. Tsai, Terece L. Turton, Will Usher, Zhe Wang, Gunther H. Weber, Corey Wetterer-Nelson, Jonathan Woodring, Abhishek Yenpure:
The ECP ALPINE project: In situ and post hoc visualization infrastructure and analysis capabilities for exascale. Int. J. High Perform. Comput. Appl. 39(1): 32-51 (2025) - [j5]Tushar M. Athawale, Zhe Wang, David Pugmire, Kenneth Moreland, Qian Gong, Scott Klasky, Chris R. Johnson, Paul Rosen:
Uncertainty Visualization of Critical Points of 2D Scalar Fields for Parametric and Nonparametric Probabilistic Models. IEEE Trans. Vis. Comput. Graph. 31(1): 108-118 (2025) - [j4]Zhe Wang, Kenneth Moreland, Matthew Larsen, James Kress, Hank Childs, David Pugmire:
Parallelize Over Data Particle Advection: Participation, Ping Pong Particles, and Overhead. IEEE Trans. Vis. Comput. Graph. 31(10): 7795-7808 (2025) - 2023
- [j3]Zhe Wang, Matthieu Dorier, Pradeep Subedi, Philip E. Davis, Manish Parashar:
Adaptive elasticity policies for staging-based in situ visualization. Future Gener. Comput. Syst. 142: 75-89 (2023) - [j2]Matthieu Dorier, Zhe Wang, Srinivasan Ramesh, Utkarsh Ayachit, Shane Snyder, Robert B. Ross, Manish Parashar:
Towards elastic in situ analysis for high-performance computing simulations. J. Parallel Distributed Comput. 177: 106-116 (2023) - 2012
- [j1]Hafiz Fahad Sheikh, Ishfaq Ahmad, Zhe Wang, Sanjay Ranka:
An overview and classification of thermal-aware scheduling techniques for multi-core processing systems. Sustain. Comput. Informatics Syst. 2(3): 151-169 (2012)
Conference and Workshop Papers
- 2024
- [c20]Qian Gong, Zhe Wang, Viktor Reshniak, Xin Liang, Jieyang Chen, Qing Liu, Tushar M. Athawale, Yi Ju, Anand Rangarajan, Sanjay Ranka, Norbert Podhorszki, Rick Archibald, Scott Klasky:
A General Framework for Error-controlled Unstructured Scientific Data Compression. e-Science 2024: 1-10 - [c19]Daoce Wang, Pascal Grosset, Jesus Pulido, Tushar M. Athawale, Jiannan Tian, Kai Zhao, Zarija Lukic, Axel Huebl, Zhe Wang, James P. Ahrens, Dingwen Tao:
A High-Quality Workflow for Multi-Resolution Scientific Data Reduction and Visualization. SC 2024: 85 - [c18]David Pugmire, Jong Youl Choi, Scott Klasky, Kenneth Moreland, Eric Suchyta, Tushar M. Athawale, Zhe Wang, Choong-Seock Chang, Seung-Hoe Ku, Robert Hager:
Performance Improvements of Poincaré Analysis for Exascale Fusion Simulations. VisGap@EuroVis 2024 - [c17]Tushar M. Athawale, Zhe Wang, Chris R. Johnson, David Pugmire:
Data-Driven Computation of Probabilistic Marching Cubes for Efficient Visualization of Level-Set Uncertainty. EuroVis (Short Papers) 2024 - [c16]Gautam Hari, Nrushad Joshi, Zhe Wang, Qian Gong, Dave Pugmire, Kenneth Moreland, Chris R. Johnson, Scott Klasky, Norbert Podhorszki, Tushar M. Athawale:
FunM2C: A Filter for Uncertainty Visualization of Multivariate Data on Multi-Core Devices. UncertaintyVis@VIS 2024: 43-47 - [c15]Shanu Saklani, Chitwan Goel, Shrey Bansal, Zhe Wang, Soumya Dutta, Tushar M. Athawale, David Pugmire, Christopher R. Johnson:
Uncertainty-Informed Volume Visualization using Implicit Neural Representation. UncertaintyVis@VIS 2024: 62-72 - 2023
- [c14]Zhe Wang, Tushar M. Athawale, Kenneth Moreland, Jieyang Chen, Chris R. Johnson, David Pugmire:
FunMC2: A Filter for Uncertainty Visualization of Marching Cubes on Multi-Core Devices. EGPGV@EuroVis 2023: 13-23 - 2022
- [c13]Matthieu Dorier, Zhe Wang, Utkarsh Ayachit, Shane Snyder, Robert B. Ross, Manish Parashar:
Colza: Enabling Elastic In Situ Visualization for High-performance Computing Simulations. IPDPS 2022: 538-548 - [c12]Zhe Wang, Matthieu Dorier, Manish Parashar:
Research Perspectives Toward Autonomic Optimization of In Situ Analysis and Visualization. ISAV@SC 2022: 7-13 - 2021
- [c11]Zhe Wang, Pradeep Subedi, Matthieu Dorier, Philip E. Davis, Manish Parashar:
Adaptive Placement of Data Analysis Tasks For Staging Based In-Situ Processing. HiPC 2021: 242-251 - [c10]Zhe Wang, Pradeep Subedi, Matthieu Dorier, Philip E. Davis, Manish Parashar:
Facilitating Staging-based Unstructured Mesh Processing to Support Hybrid In-Situ Workflows. IPDPS Workshops 2021: 960-964 - [c9]Zhe Wang, Matthieu Dorier, Pradeep Subedi, Philip E. Davis, Manish Parashar:
An Adaptive Elasticity Policy For Staging Based In-Situ Processing. WORKS 2021: 33-41 - 2020
- [c8]Zhe Wang, Pradeep Subedi, Matthieu Dorier, Philip E. Davis, Manish Parashar:
Staging Based Task Execution for Data-driven, In-Situ Scientific Workflows. CLUSTER 2020: 209-220 - 2019
- [c7]Yubo Qin, Anthony Simonet, Philip E. Davis, Azita Nouri, Zhe Wang, Manish Parashar, Ivan Rodero:
Towards a Smart, Internet-Scale Cache Service for Data Intensive Scientific Applications. ScienceCloud@HPDC 2019: 11-18 - 2014
- [c6]Yifan Wang, Zhe Wang, Sanjay Ranka:
Task scheduling for energy optimization and temperature improvements. ISCC 2014: 1-7 - 2012
- [c5]Zhe Wang, Hengxing Tan, Sanjay Ranka:
Energy and performance tradeoffs for matrix multiplication on multicore machines. IGCC 2012: 1-6 - [c4]Zhe Wang, Sanjay Ranka, Prabhat Mishra:
Temperature-aware Task Partitioning for Real-Time Scheduling in Embedded Systems. VLSI Design 2012: 161-166 - 2010
- [c3]Zhe Wang, Sanjay Ranka:
Thermal constrained workload distribution for maximizing throughput on multi-core processors. Green Computing Conference 2010: 291-298 - [c2]Zhe Wang, Sanjay Ranka:
A simple thermal model for multi-core processors and its application to slack allocation. IPDPS 2010: 1-11 - 2009
- [c1]Zhe Wang, Sanjay Ranka, Ye Xia:
Slotted Wavelength Scheduling for Bulk Transfers in Research Networks. ICPP 2009: 317-324
Informal and Other Publications
- 2025
- [i6]Qian Gong, Zhe Wang, Viktor Reshniak, Xin Liang, Jieyang Chen, Qing Liu, Tushar M. Athawale, Yi Ju, Anand Rangarajan, Sanjay Ranka, Norbert Podhorszki, Rick Archibald, Scott Klasky:
A General Framework for Error-controlled Unstructured Scientific Data Compression. CoRR abs/2501.06910 (2025) - 2024
- [i5]Daoce Wang, Pascal Grosset, Jesus Pulido, Tushar M. Athawale, Jiannan Tian, Kai Zhao, Zarija Lukic, Axel Huebl, Zhe Wang, James P. Ahrens, Dingwen Tao:
A High-Quality Workflow for Multi-Resolution Scientific Data Reduction and Visualization. CoRR abs/2407.04267 (2024) - [i4]Tushar M. Athawale, Zhe Wang, David Pugmire, Kenneth Moreland, Qian Gong, Scott Klasky, Christopher R. Johnson, Paul Rosen:
Uncertainty Visualization of Critical Points of 2D Scalar Fields for Parametric and Nonparametric Probabilistic Models. CoRR abs/2407.18015 (2024) - [i3]Shanu Saklani, Chitwan Goel, Shrey Bansal, Zhe Wang, Soumya Dutta, Tushar M. Athawale, David Pugmire, Christopher R. Johnson:
Uncertainty-Informed Volume Visualization using Implicit Neural Representation. CoRR abs/2408.06018 (2024) - [i2]Zhe Wang, Kenneth Moreland, Matthew Larsen, James Kress, Hank Childs, David Pugmire:
Parallelize Over Data Particle Advection: Participation, Ping Pong Particles, and Overhead. CoRR abs/2410.09710 (2024) - 2020
- [i1]Zhe Wang, Pradeep Subedi, Shaohua Duan, Yubo Qin, Philip E. Davis, Anthony Simonet, Ivan Rodero, Manish Parashar:
Exploring Trade-offs in Dynamic Task Triggering for Loosely Coupled Scientific Workflows. CoRR abs/2004.10381 (2020)
Coauthor Index
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