Junya Hara

Orcid: 0000-0002-3131-3590

According to our database1, Junya Hara authored at least 12 papers between 2020 and 2024.

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

Timeline

2020
2021
2022
2023
2024
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Denoising for Neuromorphic Cameras Based on Graph Spectral Features.
Proceedings of the 26th IEEE International Workshop on Multimedia Signal Processing, 2024

Multiscale Graph Construction Using Non-Local Cluster Features.
Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

Lossy Compression of Adjacency Matrices by Graph Filter Banks.
Proceedings of the IEEE International Conference on Acoustics, 2024

Optimizing k in kNN Graphs with Graph Learning Perspective.
Proceedings of the IEEE International Conference on Acoustics, 2024

Sensor Placement Problem on Networks for Sensors with Multiple Specifications.
Proceedings of the 32nd European Signal Processing Conference, 2024

Dynamic Sensor Placement on Graphs Based on Graph Signal Sampling Theory.
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2024

Graph Filter Transfer for Time-Varying Signal Estimation Between Two Networks.
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2024

2023
Graph Signal Sampling Under Stochastic Priors.
IEEE Trans. Signal Process., 2023

Signed Graph Balancing with Graph Cut.
Proceedings of the 31st European Signal Processing Conference, 2023

2022
Sampling Set Selection for Graph Signals under Arbitrary Signal Priors.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Design of Graph Signal Sampling Matrices for Arbitrary Signal Subspaces.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Generalized Graph Spectral Sampling with Stochastic Priors.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020


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