Junan Zhu

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 20

Top Topics

Lossy Compression

Message Passing

Top Venues

IEEE Trans. Signal Process.

Publications

Junan Zhu, Hongxin Zhu, Zhaohong Jia, Ping Ma
DiffSwinTr: A diffusion model using 3D Swin Transformer for brain tumor segmentation. Int. J. Imaging Syst. Technol. 34 (3) (2024)
Zhaohong Jia, Hongxin Zhu, Junan Zhu, Ping Ma
Two-Branch network for brain tumor segmentation using attention mechanism and super-resolution reconstruction. Comput. Biol. Medicine 157 (2023)
Junan Zhu, Kristina Rivera, Dror Baron
Noisy Pooled PCR for Virus Testing. CoRR (2020)
Ping Ma, Yue Bai, Junan Zhu, Chunjun Wang, Cheng Peng
DSOD: DSO in Dynamic Environments. IEEE Access 7 (2019)
Junan Zhu, Tao Chen, Jingtai Cao
Siamese Network Using Adaptive Background Superposition Initialization for Real-Time Object Tracking. IEEE Access 7 (2019)
Junan Zhu, Dror Baron
Performance Limits with Additive Error Metrics in Noisy Multi-Measurement Vector Problem. CoRR (2018)
Junan Zhu, Dror Baron
Performance Limits With Additive Error Metrics in Noisy Multimeasurement Vector Problems. IEEE Trans. Signal Process. 66 (20) (2018)
Junan Zhu, Ryan Pilgrim, Dror Baron
An overview of multi-processor approximate message passing. CISS (2017)
Junan Zhu
Statistical Physics and Information Theory Perspectives on Linear Inverse Problems. CoRR (2017)
Ryan Pilgrim, Junan Zhu, Dror Baron, Waheed U. Bajwa
Generalized Geometric Programming for Rate Allocation in Consensus. CoRR (2017)
Ryan Pilgrim, Junan Zhu, Dror Baron, Waheed U. Bajwa
Generalized geometric programming for rate allocation in consensus. Allerton (2017)
Junan Zhu, Ryan Pilgrim, Dror Baron
An Overview of Multi-Processor Approximate Message Passing. CoRR (2017)
Junan Zhu, Dror Baron, Florent Krzakala
Performance Limits for Noisy Multimeasurement Vector Problems. IEEE Trans. Signal Process. 65 (9) (2017)
Junan Zhu, Ahmad Beirami, Dror Baron
Performance trade-offs in multi-processor approximate message passing. ISIT (2016)
Puxiao Han, Junan Zhu, Ruixin Niu, Dror Baron
Multi-processor approximate message passing using lossy compression. ICASSP (2016)
Yanting Ma, Junan Zhu, Dror Baron
Approximate Message Passing Algorithm With Universal Denoising and Gaussian Mixture Learning. IEEE Trans. Signal Process. 64 (21) (2016)
Junan Zhu, Dror Baron
Multi-Processor Approximate Message Passing with Lossy Compression. CoRR (2016)
Puxiao Han, Junan Zhu, Ruixin Niu, Dror Baron
Multi-Processor Approximate Message Passing Using Lossy Compression. CoRR (2016)
Junan Zhu, Ahmad Beirami, Dror Baron
Performance Trade-Offs in Multi-Processor Approximate Message Passing. CoRR (2016)
Junan Zhu, Dror Baron, Florent Krzakala
Performance Limits for Noisy Multi-Measurement Vector Problems. CoRR (2016)
Yanting Ma, Junan Zhu, Dror Baron
Approximate Message Passing with Universal Denoising. CoRR (2015)
Junan Zhu, Dror Baron, Marco F. Duarte
Recovery From Linear Measurements With Complexity-Matching Universal Signal Estimation. IEEE Trans. Signal Process. 63 (6) (2015)
Yanting Ma, Junan Zhu, Dror Baron
Compressed Sensing via Universal Denoising and Approximate Message Passing. CoRR (2014)
Junan Zhu, Dror Baron, Marco F. Duarte
Complexity-adaptive universal signal estimation for compressed sensing. SSP (2014)
Junan Zhu, Dror Baron
Performance Regions in Compressed Sensing from Noisy Measurements CoRR (2013)
Junan Zhu, Dror Baron
Performance regions in compressed sensing from noisy measurements. CISS (2013)