Performance regions in compressed sensing from noisy measurements. - Junan Zhu; Dror Baron (CISS, 2013)

Complexity-adaptive universal signal estimation for compressed sensing. - Junan Zhu; Dror Baron; Marco F. Duarte (SSP, 2014)

Compressed Sensing via Universal Denoising and Approximate Message Passing. - Yanting Ma; Junan Zhu; Dror Baron (CoRR, 2014)

Approximate Message Passing with Universal Denoising. - Yanting Ma; Junan Zhu; Dror Baron (CoRR, 2015)

Recovery From Linear Measurements With Complexity-Matching Universal Signal Estimation. - Junan Zhu; Dror Baron; Marco F. Duarte (IEEE Trans. Signal Process., 2015)

Multi-processor approximate message passing using lossy compression. - Puxiao Han; Junan Zhu; Ruixin Niu; Dror Baron (ICASSP, 2016)

Performance trade-offs in multi-processor approximate message passing. - Junan Zhu; Ahmad Beirami; Dror Baron (ISIT, 2016)

Multi-Processor Approximate Message Passing with Lossy Compression. - Junan Zhu; Dror Baron (CoRR, 2016)

Performance Limits for Noisy Multi-Measurement Vector Problems. - Junan Zhu; Dror Baron; Florent Krzakala (CoRR, 2016)

Approximate Message Passing Algorithm With Universal Denoising and Gaussian Mixture Learning. - Yanting Ma; Junan Zhu; Dror Baron (IEEE Trans. Signal Process., 2016)

Generalized geometric programming for rate allocation in consensus. - Ryan Pilgrim; Junan Zhu; Dror Baron; Waheed U. Bajwa (Allerton, 2017)

An overview of multi-processor approximate message passing. - Junan Zhu; Ryan Pilgrim; Dror Baron (CISS, 2017)

Statistical Physics and Information Theory Perspectives on Linear Inverse Problems. - Junan Zhu (CoRR, 2017)

Performance Limits for Noisy Multimeasurement Vector Problems. - Junan Zhu; Dror Baron; Florent Krzakala (IEEE Trans. Signal Process., 2017)

Performance Limits with Additive Error Metrics in Noisy Multi-Measurement Vector Problem. - Junan Zhu; Dror Baron (CoRR, 2018)

Performance Limits With Additive Error Metrics in Noisy Multimeasurement Vector Problems. - Junan Zhu; Dror Baron (IEEE Trans. Signal Process., 2018)

DSOD: DSO in Dynamic Environments. - Ping Ma 006; Yue Bai; Junan Zhu; Chunjun Wang; Cheng Peng (IEEE Access, 2019)

Siamese Network Using Adaptive Background Superposition Initialization for Real-Time Object Tracking. - Junan Zhu; Tao Chen; Jingtai Cao (IEEE Access, 2019)

Noisy Pooled PCR for Virus Testing. - Junan Zhu; Kristina Rivera; Dror Baron (CoRR, 2020)

Two-Branch network for brain tumor segmentation using attention mechanism and super-resolution reconstruction. - Zhaohong Jia; Hongxin Zhu; Junan Zhu; Ping Ma 006 (Comput. Biol. Medicine, 2023)

Improved basic elements detection algorithm for bridge engineering design drawings based on YOLOv5. - Ning An; Linsheng Huang; Mengnan Hu; Junan Zhu; Chuanjian Wang (Artif. Intell. Eng. Des. Anal. Manuf., 2024)

DiffSwinTr: A diffusion model using 3D Swin Transformer for brain tumor segmentation. - Junan Zhu; Hongxin Zhu; Zhaohong Jia; Ping Ma 006 (Int. J. Imaging Syst. Technol., 2024)

DLKUNet: A Lightweight and Efficient Network With Depthwise Large Kernel for Medical Image Segmentation. - Junan Zhu; Zhizhe Tang; Ping Ma 006; Zheng Liang; Chuanjian Wang (Int. J. Imaging Syst. Technol., 2025)

KANSeg: An efficient medical image segmentation model based on Kolmogorov-Arnold networks for multi-organ segmentation. - Junan Zhu; Zhizhe Tang; Zheng Liang; Ping Ma 006; Chuanjian Wang (Digit. Signal Process., 2026)