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Junqi Wang 0002
Person information
- affiliation: Hunan University, College of Computer Science and Electronic Engineering, Changsha, China
- affiliation: Beijing Institute for General Artificial Intelligence, BIGAI, China
- affiliation (PhD 2018): Rutgers University, Department of Mathamatics and Computer Science, Newark, NJ, USA
Other persons with the same name
- Junqi Wang — disambiguation page
- Junqi Wang 0001
— Cincinnati Children's Hospital Medical Center, Imaging research center, Department of Radiology, OH, USA (and 1 more)
- Junqi Wang 0003
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2020 – today
- 2024
- [j5]Fenfang Li
AMP: Total Variation Reduction for Lossless Compression via Approximate Median-based Preconditioning. ACM Trans. Embed. Comput. Syst. 23(6): 86:1-86:22 (2024) - 2023
- [j4]Junqi Wang, Pei Wang, Patrick Shafto:
Efficient Discretization of Optimal Transport. Entropy 25(6): 839 (2023) - [j3]Huizhang Luo
A Data-driven Approach to Harvesting Latent Reduced Models to Precondition Lossy Compression for Scientific Data. IEEE Trans. Big Data 9(3): 949-963 (2023) - [j2]Yida Li
LAMP: Improving Compression Ratio for AMR Applications via Level Associated Mapping-Based Preconditioning. IEEE Trans. Computers 72(12): 3370-3382 (2023) - [c6]Bing Lu
ZFP-X: Efficient Embedded Coding for Accelerating Lossy Floating Point Compression. IPDPS 2023: 1041-1050 - [c5]Junqi Wang, Pei Wang, Patrick Shafto:
Generalized Belief Transport. NeurIPS 2023 - 2022
- [j1]Huizhang Luo
zMesh: Theories and Methods to Exploring Application Characteristics to Improve Lossy Compression Ratio for Adaptive Mesh Refinement. IEEE Trans. Parallel Distributed Syst. 33(12): 3702-3717 (2022) - 2021
- [c4]Huizhang Luo, Junqi Wang, Qing Liu
zMesh: Exploring Application Characteristics to Improve Lossy Compression Ratio for Adaptive Mesh Refinement. IPDPS 2021: 402-411 - [c3]Junqi Wang, Yida Li, Qing Liu, Huizhang Luo, Kenli Li:
Total Variation Reduction for Lossless Compression of HPC Applications. SoCC 2021: 129-134 - [i4]Arash Givchi, Pei Wang, Junqi Wang, Patrick Shafto:
Distributionally-Constrained Policy Optimization via Unbalanced Optimal Transport. CoRR abs/2102.07889 (2021) - [i3]Junqi Wang, Pei Wang, Patrick Shafto:
Efficient Discretizations of Optimal Transport. CoRR abs/2102.07956 (2021) - 2020
- [c2]Junqi Wang, Pei Wang, Patrick Shafto:
Sequential Cooperative Bayesian Inference. ICML 2020: 10039-10049 - [c1]Pei Wang, Junqi Wang, Pushpi Paranamana, Patrick Shafto:
A mathematical theory of cooperative communication. NeurIPS 2020 - [i2]Junqi Wang, Pei Wang, Patrick Shafto:
Sequential Cooperative Bayesian Inference. CoRR abs/2002.05706 (2020)
2010 – 2019
- 2019
- [i1]Pei Wang, Junqi Wang, Pushpi Paranamana, Patrick Shafto:
A mathematical theory of cooperative communication. CoRR abs/1910.02822 (2019)
Coauthor Index
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