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Junqi Wang

Orcid: 0000-0002-3427-366X

Affiliations:
  • Hunan University, College of Computer Science and Electronic Engineering, Changsha, China
  • Beijing Institute for General Artificial Intelligence, BIGAI, China
  • Rutgers University, Department of Mathamatics and Computer Science, Newark, NJ, USA (PhD 2018)


According to our database1, Junqi Wang authored at least 13 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
AMP: Total Variation Reduction for Lossless Compression via Approximate Median-based Preconditioning.
[BibTeX]
[DOI]
Fenfang Li
,
Huizhang Luo
,
Junqi Wang
,
Yida Li
,
Zhuo Tang
,
Kenli Li
ACM Trans. Embed. Comput. Syst., November, 2024

2023
LAMP: Improving Compression Ratio for AMR Applications via Level Associated Mapping-Based Preconditioning.
[BibTeX]
[DOI]
Yida Li
,
Huizhang Luo
,
Fenfang Li
,
Junqi Wang
,
Kenli Li
IEEE Trans. Computers, December, 2023

A Data-driven Approach to Harvesting Latent Reduced Models to Precondition Lossy Compression for Scientific Data.
[BibTeX]
[DOI]
Huizhang Luo
,
Junqi Wang
,
Zhenlu Qin
,
Dan Huang
,
Qing Liu
,
Mengchu Zhou
,
Hong Jiang
IEEE Trans. Big Data, June, 2023

Efficient Discretization of Optimal Transport.
[BibTeX]
[DOI]
Junqi Wang
,
Pei Wang
,
Patrick Shafto
Entropy, June, 2023

Generalized Belief Transport.
[BibTeX]
[DOI]
Junqi Wang
,
Pei Wang
,
Patrick Shafto
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ZFP-X: Efficient Embedded Coding for Accelerating Lossy Floating Point Compression.
[BibTeX]
[DOI]
Bing Lu
,
Yida Li
,
Junqi Wang
,
Huizhang Luo
,
Kenli Li
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

2022
zMesh: Theories and Methods to Exploring Application Characteristics to Improve Lossy Compression Ratio for Adaptive Mesh Refinement.
[BibTeX]
[DOI]
Huizhang Luo
,
Junqi Wang
,
Qing Liu
,
Jieyang Chen
,
Scott Klasky
,
Norbert Podhorszki
IEEE Trans. Parallel Distributed Syst., 2022

2021
Efficient Discretizations of Optimal Transport.
[BibTeX]
[DOI]
Junqi Wang
,
Pei Wang
,
Patrick Shafto
CoRR, 2021

Distributionally-Constrained Policy Optimization via Unbalanced Optimal Transport.
[BibTeX]
[DOI]
Arash Givchi
,
Pei Wang
,
Junqi Wang
,
Patrick Shafto
CoRR, 2021

Total Variation Reduction for Lossless Compression of HPC Applications.
[BibTeX]
[DOI]
Junqi Wang
,
Yida Li
,
Qing Liu
,
Huizhang Luo
,
Kenli Li
Proceedings of the 34th IEEE International System-on-Chip Conference, 2021

zMesh: Exploring Application Characteristics to Improve Lossy Compression Ratio for Adaptive Mesh Refinement.
[BibTeX]
[DOI]
Huizhang Luo
,
Junqi Wang
,
Qing Liu
,
Jieyang Chen
,
Scott Klasky
,
Norbert Podhorszki
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

2020
A mathematical theory of cooperative communication.
[BibTeX]
[DOI]
Pei Wang
,
Junqi Wang
,
Pushpi Paranamana
,
Patrick Shafto
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Sequential Cooperative Bayesian Inference.
[BibTeX]
[DOI]
Junqi Wang
,
Pei Wang
,
Patrick Shafto
Proceedings of the 37th International Conference on Machine Learning, 2020


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