Junan Zhu

According to our database, Junan Zhu authored at least 21 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

DiffSwinTr: A diffusion model using 3D Swin Transformer for brain tumor segmentation.

Junan Zhu, Hongxin Zhu, Zhaohong Jia, Ping Ma

Int. J. Imaging Syst. Technol., May, 2024

2023

Two-Branch network for brain tumor segmentation using attention mechanism and super-resolution reconstruction.

Zhaohong Jia, Hongxin Zhu, Junan Zhu, Ping Ma

Comput. Biol. Medicine, May, 2023

2020

Noisy Pooled PCR for Virus Testing.

Junan Zhu, Kristina Rivera, Dror Baron

CoRR, 2020

2019

Siamese Network Using Adaptive Background Superposition Initialization for Real-Time Object Tracking.

Junan Zhu, Tao Chen, Jingtai Cao

IEEE Access, 2019

DSOD: DSO in Dynamic Environments.

Ping Ma, Yue Bai, Junan Zhu, Chunjun Wang, Cheng Peng

IEEE Access, 2019

2018

Performance Limits With Additive Error Metrics in Noisy Multimeasurement Vector Problems.

Junan Zhu, Dror Baron

IEEE Trans. Signal Process., 2018

Performance Limits with Additive Error Metrics in Noisy Multi-Measurement Vector Problem.

Junan Zhu, Dror Baron

CoRR, 2018

2017

Performance Limits for Noisy Multimeasurement Vector Problems.

Junan Zhu, Dror Baron, Florent Krzakala

IEEE Trans. Signal Process., 2017

Statistical Physics and Information Theory Perspectives on Linear Inverse Problems.

Junan Zhu

CoRR, 2017

An overview of multi-processor approximate message passing.

Junan Zhu, Ryan Pilgrim, Dror Baron

Proceedings of the 51st Annual Conference on Information Sciences and Systems, 2017

Generalized geometric programming for rate allocation in consensus.

Ryan Pilgrim, Junan Zhu, Dror Baron, Waheed U. Bajwa

Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016

Approximate Message Passing Algorithm With Universal Denoising and Gaussian Mixture Learning.

Yanting Ma, Junan Zhu, Dror Baron

IEEE Trans. Signal Process., 2016

Performance Limits for Noisy Multi-Measurement Vector Problems.

Junan Zhu, Dror Baron, Florent Krzakala

CoRR, 2016

Multi-Processor Approximate Message Passing with Lossy Compression.

Junan Zhu, Dror Baron

CoRR, 2016

Performance trade-offs in multi-processor approximate message passing.

Junan Zhu, Ahmad Beirami, Dror Baron

Proceedings of the IEEE International Symposium on Information Theory, 2016

Multi-processor approximate message passing using lossy compression.

Puxiao Han, Junan Zhu, Ruixin Niu, Dror Baron

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Recovery From Linear Measurements With Complexity-Matching Universal Signal Estimation.

Junan Zhu, Dror Baron, Marco F. Duarte

IEEE Trans. Signal Process., 2015

Approximate Message Passing with Universal Denoising.

Yanting Ma, Junan Zhu, Dror Baron

CoRR, 2015

2014

Compressed Sensing via Universal Denoising and Approximate Message Passing.

Yanting Ma, Junan Zhu, Dror Baron

CoRR, 2014

Complexity-adaptive universal signal estimation for compressed sensing.

Junan Zhu, Dror Baron, Marco F. Duarte

Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

2013

Performance regions in compressed sensing from noisy measurements.

Junan Zhu, Dror Baron

Proceedings of the 47th Annual Conference on Information Sciences and Systems, 2013