Min Long

Orcid: 0000-0001-5938-5070

Affiliations:
  • Boise State University, Department of Computer Science,, Computing and AI Lab for Physical Sciences, Boise, ID, USA
  • Cornell University, Ithaca, NY, USA (PhD 2008)


According to our database1, Min Long authored at least 11 papers between 2020 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
DE-BNN: An evolutionary approach to Bayesian neural network posterior sampling.
Neurocomputing, 2026

2025
AegisBlock: A Privacy-Preserving Medical Research Framework Using Blockchain.
Proceedings of the 7th IEEE International Conference on Trust, 2025

2023
HEGrid: A high efficient multi-channel radio astronomical data gridding framework in heterogeneous computing environments.
Future Gener. Comput. Syst., 2023

Virtual Curtain: A Communicative Fine-grained Privacy Control Framework for Augmented Reality.
Proceedings of the International Conference on Computing, Networking and Communications, 2023

PRISM: A Blockchain-Enabled Reputation-Based Consensus for Enhancing Scientific Workflow Provenance.
Proceedings of the 9th IEEE International Conference on Collaboration and Internet Computing, 2023

2022
Automated Materials Spectroscopy Analysis using Genetic Algorithms.
CoRR, 2022

SciLedger: A Blockchain-based Scientific Workflow Provenance and Data Sharing Platform.
Proceedings of the 8th IEEE International Conference on Collaboration and Internet Computing, 2022

2021
BullyNet: Unmasking Cyberbullies on Social Networks.
IEEE Trans. Comput. Soc. Syst., 2021

Detection of radio frequency interference using an improved generative adversarial network.
Astron. Comput., 2021

VAULT: A Scalable Blockchain-Based Protocol for Secure Data Access and Collaboration.
Proceedings of the 2021 IEEE International Conference on Blockchain, 2021

2020
Performance optimization of non-equilibrium ionization simulations from MapReduce and GPU acceleration.
Parallel Comput., 2020


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