郑思明｜东南大学｜学者主页

期刊论文

2026

Generative conformal prediction under multiple covariate shifts

Meifang Lan, Tong Wang, Siming Zheng, Yuanyuan Lin

Statistics and Computing

DOI

2026

Generative Conformal Prediction Under Covariate Shift

Cheng Li, Siming Zheng, Yuanyuan Lin

Journal of Computational and Graphical Statistics

DOI

2026

Breaking Measurement Barriers: From Compressed Sensing to Deep Reconstruction

Gang Qu, Ping Wang, Siming Zheng, Xin Yuan

AAAI Conference on Artificial Intelligence

DOI

2026

Deep Probabilistic Unfolding for Quantized Compressive Sensing

Gang Qu, Ping Wang, Siming Zheng, Xin Yuan

arXiv.org

DOI

2026

Broadband single pixel video imaging via physics-driven deep reconstruction

Xin-Yi Xu, Zhangyuan Li, Yue Dai, Jia-Sheng Li, Jian Chai, Muhammad Abid Anwar, Yance Chen, Gang Qu, W. Fang, Yun-Fei Xie, Xuan Ye, Jiafu Wang, Siming Zheng, Feng Tian, M. Malik, S. Bodepudi, Tawfique Hasan, M. Butala, Xin Yuan, Yang Xu

Advanced Photonics

DOI

2026

Error Analysis for Deep ReLU Feedforward Density-Ratio Estimation with Bregman Divergence

Siming Zheng, Guohao Shen, Yuanyuan Lin, Jian Huang

Journal of machine learning research

2025

Physics-guided Deep Unfolding Network for Enhanced Kronecker Compressive sensing

Gang Qu, Ping Wang, Siming Zheng, Xin Yuan

arXiv.org

DOI

2025

BMVC$+$: An Enhanced Block Modulation Video Compression Codec for Large-Scale Image Compression

Gang Qu, Siming Zheng, Mengjie Qin, Xin Yuan

IEEE Journal on Selected Topics in Signal Processing

DOI

2024

A Decade Review of Video Compressive Sensing: A Roadmap to Practical Applications

Zhihong Zhang, Siming Zheng, Min Qiu, Guo-Hai Situ, David J. Brady, Qionghai Dai, Jin-Li Suo, Xin Yuan

Engineering

DOI

2023

Unfolding Framework with Prior of Convolution-Transformer Mixture and Uncertainty Estimation for Video Snapshot Compressive Imaging

Siming Zheng, Xin Yuan

IEEE International Conference on Computer Vision

DOI

2023

Deep Equilibrium Models for Snapshot Compressive Imaging

Yaping Zhao, Siming Zheng, Xin Yuan

AAAI Conference on Artificial Intelligence

DOI

2023

Temporal structured illumination and vision-transformer enables large field-of-view binary snapshot ptychography.

Ziyang Chen, Siming Zheng, Wenzhe Wang, Jinqi Song, Xin Yuan

Optics Express

DOI

2023

Video snapshot compressive imaging using adaptive progressive coding for high-quality reconstruction under different illumination circumstances.

Xing Liu, Mingyu Zhu, Siming Zheng, Run-Qiu Luo, Hua-Zheng Wu, Xin Yuan

Optics Letters

DOI

2023

Hybrid Multi-Dimensional Attention U-Net for Hyperspectral Snapshot Compressive Imaging Reconstruction

Siming Zheng, Mingyu Zhu, Mingliang Chen

Entropy

DOI

2022

From compressive sampling to compressive tasking: retrieving semantics in compressed domain with low bandwidth

Zhihong Zhang, Bo Zhang, Xin Yuan, Siming Zheng, Xiongfei Su, Jin-Li Suo, D. Brady, Qiong-Hai Dai

PhotoniX

DOI

2022

Block Modulating Video Compression: An Ultra Low Complexity Image Compression Encoder for Resource Limited Platforms

Siming Zheng, Yujia Xue, Waleed Tahir, Zhengjue Wang, Hao Zhang, Ziyi Meng, Gang Qu, Si-Wei Ma, Lei Tian, Xin Yuan

Advanced Imaging

DOI

2022

Two-Stage is Enough: A Concise Deep Unfolding Reconstruction Network for Flexible Video Compressive Sensing

Siming Zheng, Xiaoyu Yang, Xin Yuan

arXiv.org

2021

Super-compression of large electron microscopy time series by deep compressive sensing learning

Siming Zheng, Chunyang Wang, Xin Yuan, Huo-Lin L. Xin

Patterns

DOI

2020

Deep plug-and-play priors for spectral snapshot compressive imaging

Siming Zheng, Yang Liu, Ziyi Meng, Mu Qiao, Zhi-Shen Tong, Xiaoyu Yang, Shen-Sheng Han, Xin Yuan

Photonics Research

DOI

会议论文

2021

Multi-subspace RBFNN driven by features correlation learning

Siming Zheng, Yang Zhao, Jihong Pei

Conference proceedings of 2021 4th International Conference on Algorithms, Computing and Artificial Intelligence (ACAi 2021)

DOI

郑思明

精选作品

期刊论文

Generative conformal prediction under multiple covariate shifts

Generative Conformal Prediction Under Covariate Shift

Breaking Measurement Barriers: From Compressed Sensing to Deep Reconstruction

Deep Probabilistic Unfolding for Quantized Compressive Sensing

Broadband single pixel video imaging via physics-driven deep reconstruction

Error Analysis for Deep ReLU Feedforward Density-Ratio Estimation with Bregman Divergence

Physics-guided Deep Unfolding Network for Enhanced Kronecker Compressive sensing

BMVC$+$: An Enhanced Block Modulation Video Compression Codec for Large-Scale Image Compression

A Decade Review of Video Compressive Sensing: A Roadmap to Practical Applications

Unfolding Framework with Prior of Convolution-Transformer Mixture and Uncertainty Estimation for Video Snapshot Compressive Imaging

Deep Equilibrium Models for Snapshot Compressive Imaging

Temporal structured illumination and vision-transformer enables large field-of-view binary snapshot ptychography.

Video snapshot compressive imaging using adaptive progressive coding for high-quality reconstruction under different illumination circumstances.

Hybrid Multi-Dimensional Attention U-Net for Hyperspectral Snapshot Compressive Imaging Reconstruction

From compressive sampling to compressive tasking: retrieving semantics in compressed domain with low bandwidth

Block Modulating Video Compression: An Ultra Low Complexity Image Compression Encoder for Resource Limited Platforms

Two-Stage is Enough: A Concise Deep Unfolding Reconstruction Network for Flexible Video Compressive Sensing

Super-compression of large electron microscopy time series by deep compressive sensing learning

Deep plug-and-play priors for spectral snapshot compressive imaging

会议论文

Multi-subspace RBFNN driven by features correlation learning

研究方向