SRHRF+: Self-Example Enhanced Single Image Super-Resolution Using Hierarchical Random Forests. - Jun-Jie Huang 001; Tianrui Liu 001; Pier Luigi Dragotti; Tania Stathaki (CVPR Workshops, 2017)

ProSparse extension: Prony's based sparse pattern recovery with extended dictionaries. - Jun-Jie Huang 001; Pier Luigi Dragotti (ICASSP, 2017)

U-Fresh: An Fri-Based Single Image Super Resolution Algorithm and An Application in Image Compression. - Xin Deng 002; Junjie Huang 001; Mengying Liu; Pier Luigi Dragotti (ICASSP, 2018)

A Deep Dictionary Model for Image Super-Resolution. - Jun-Jie Huang 001; Pier Luigi Dragotti (ICASSP, 2018)

Photo Realistic Image Completion via Dense Correspondence. - Jun-Jie Huang 001; Pier Luigi Dragotti (IEEE Trans. Image Process., 2018)

A Deep Dictionary Model to Preserve and Disentangle Key Features in a Signal. - Jun-Jie Huang 001; Pier Luigi Dragotti (ICASSP, 2019)

Demand Analysis of New Engineering Talents and Exploration of Specialty Construction Path in Application-Oriented Universities Under Intelligent Information Environment. - Caihong Li; Junjie Huang 001; Xinzhi Tian; Zhihui Lin (ATCI, 2020)

Reconstruction of Fri Signals Using Deep Neural Network Approaches. - Vincent C. H. Leung; Jun-Jie Huang 001; Pier Luigi Dragotti (ICASSP, 2020)

Gated Multi-Layer Convolutional Feature Extraction Network for Robust Pedestrian Detection. - Tianrui Liu 001; Jun-Jie Huang 001; Tianhong Dai; Guangyu Ren; Tania Stathaki (ICASSP, 2020)

Revealing Hidden Drawings in Leonardo's 'the Virgin of the Rocks' from Macro X-Ray Fluorescence Scanning Data through Element Line Localisation. - Su Yan 003; Jun-Jie Huang 001; Nathan Daly; Catherine Higgitt; Pier Luigi Dragotti (ICASSP, 2020)

Learning Deep Analysis Dictionaries - Part I: Unstructured Dictionaries. - Jun-Jie Huang 001; Pier Luigi Dragotti (CoRR, 2020)

Learning Deep Analysis Dictionaries - Part II: Convolutional Dictionaries. - Jun-Jie Huang 001; Pier Luigi Dragotti (CoRR, 2020)

Meta-learning for Multi-variable Non-convex Optimization Problems: Iterating Non-optimums Makes Optimum Possible. - Jingyuan Xia; Shengxi Li; Jun-Jie Huang 001; Imad M. Jaimoukha; Xinwang Liu 002 (CoRR, 2020)

Learning Deep Analysis Dictionaries for Image Super-Resolution. - Jun-Jie Huang 001; Pier Luigi Dragotti (IEEE Trans. Signal Process., 2020)

LINN: Lifting Inspired Invertible Neural Network for Image Denoising. - Jun-Jie Huang 001; Pier Luigi Dragotti (EUSIPCO, 2021)

Reconstruction of FRI Signals using Autoencoders with Fixed Decoders. - Vincent C. H. Leung; Jun-Jie Huang 001; Yonina C. Eldar; Pier Luigi Dragotti (EUSIPCO, 2021)

A Learning Based Approach to Separate Mixed X-Ray Images Associated with Artwork with Concealed Designs. - Wei Pu; Junjie Huang 001; Barak Sober; Nathan Daly; Catherine Higgitt; Pier Luigi Dragotti; Ingrid Daubechies; Miguel R. D. Rodrigues (EUSIPCO, 2021)

Video Summarization through Reinforcement Learning with a 3D Spatio-Temporal U-Net. - Tianrui Liu; Qingjie Meng; Junjie Huang 001; Athanasios Vlontzos; Daniel Rueckert; Bernhard Kainz (CoRR, 2021)

Deep phase retrieval: Analyzing over-parameterization in phase retrieval. - Qi Yu; Jun-Jie Huang 001; Jubo Zhu; Wei Dai 001; Pier Luigi Dragotti (Signal Process., 2021)

When de Prony Met Leonardo: An Automatic Algorithm for Chemical Element Extraction From Macro X-Ray Fluorescence Data. - Su Yan 003; Junjie Huang 001; Nathan Daly; Catherine Higgitt; Pier Luigi Dragotti (IEEE Trans. Computational Imaging, 2021)

Coupled Network for Robust Pedestrian Detection With Gated Multi-Layer Feature Extraction and Deformable Occlusion Handling. - Tianrui Liu 001; Wenhan Luo; Lin Ma 002; Junjie Huang 001; Tania Stathaki; Tianhong Dai (IEEE Trans. Image Process., 2021)

FRISPEE: FRI-Based Single Image Super-Resolution with Deep Recursive Residual Network. - Renke Wang; Jun-Jie Huang 001; Pier Luigi Dragotti (EUSIPCO, 2022)

Stability and Generalization of Kernel Clustering: from Single Kernel to Multiple Kernel. - Weixuan Liang; Xinwang Liu 002; Yong Liu 018; Sihang Zhou 001; Jun-Jie Huang 001; Siwei Wang 001; Jiyuan Liu 003; Yi Zhang 104; En Zhu (NeurIPS, 2022)

WINNet: Wavelet-Inspired Invertible Network for Image Denoising. - Junjie Huang 001; Pier Luigi Dragotti (IEEE Trans. Image Process., 2022)

Video Summarization Through Reinforcement Learning With a 3D Spatio-Temporal U-Net. - Tianrui Liu 001; Qingjie Meng; Junjie Huang 001; Athanasios Vlontzos; Daniel Rueckert; Bernhard Kainz (IEEE Trans. Image Process., 2022)

Mixed X-Ray Image Separation for Artworks With Concealed Designs. - Wei Pu; Junjie Huang 001; Barak Sober; Nathan Daly; Catherine Higgitt; Ingrid Daubechies; Pier Luigi Dragotti; Miguel R. D. Rodrigues (IEEE Trans. Image Process., 2022)

Super-Resolution for Macro X-Ray Fluorescence Data Collected from Old Master Paintings. - Su Yan 003; Herman Verinaz-Jadan; Junjie Huang 001; Nathan Daly; Catherine Higgitt; Pier Luigi Dragotti (ICASSP, 2023)

A Fast Automatic Method for Deconvoluting Macro X-Ray Fluorescence Data Collected From Easel Paintings. - Su Yan 003; Junjie Huang 001; Herman Verinaz-Jadan; Nathan Daly; Catherine Higgitt; Pier Luigi Dragotti (IEEE Trans. Computational Imaging, 2023)

Learning-Based Reconstruction of FRI Signals. - Vincent C. H. Leung; Junjie Huang 001; Yonina C. Eldar; Pier Luigi Dragotti (IEEE Trans. Signal Process., 2023)

Multi-view subspace clustering via adaptive graph learning and late fusion alignment. - Chuan Tang; Kun Sun 002; Chang Tang; Xiao Zheng; Xinwang Liu 002; Jun-Jie Huang 001; Wei Zhang 049 (Neural Networks, 2023)

Metalearning-Based Alternating Minimization Algorithm for Nonconvex Optimization. - Jingyuan Xia; Shengxi Li; Junjie Huang 001; Zhixiong Yang 001; Imad M. Jaimoukha; Deniz Gündüz (IEEE Trans. Neural Networks Learn. Syst., 2023)

DURRNET: Deep Unfolded Single Image Reflection Removal Network with Joint Prior. - Jun-Jie Huang 001; Tianrui Liu 001; Jingyuan Xia; Meng Wang 001; Pier Luigi Dragotti (ICASSP, 2024)

Automatic and Aligned Anchor Learning Strategy for Multi-View Clustering. - Huimin Ma; Siwei Wang 001; Shengju Yu; Suyuan Liu; Junjie Huang 001; Huijun Wu 001; Xinwang Liu 002; En Zhu (ACM Multimedia, 2024)

DeMPAA: Deployable Multi-Mini-Patch Adversarial Attack for Remote Sensing Image Classification. - Jun-Jie Huang 001; Ziyue Wang; Tianrui Liu 001; Wenhan Luo; Zihan Chen; Wentao Zhao; Meng Wang 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

unFlowS: An Unsupervised Construction Scheme of Flow Spectrum for Network Traffic Detection. - Luming Yang; Yongjun Wang; Lin Liu 018; Junjie Huang 001; Jiangyong Shi; Shaojing Fu; Shize Guo (IEEE Trans. Inf. Forensics Secur., 2025)

Multi-View Clustering via Multi-Stage Fusion. - Yu Gan 004; Yunning You; Junjie Huang 001; Sen Xiang; Chang Tang; Wei Hu 001; Shan An (IEEE Trans. Multim., 2025)

SPA: A poisoning attack framework for graph neural networks through searching and pairing. - Xiao Liu 031; Jun-Jie Huang 001; Wentao Zhao; Ziyue Wang; Zihan Chen; Yi Pan (Mach. Learn., 2025)

SMILENet: Unleashing Extra-Large Capacity Image Steganography via a Synergistic Mosaic InvertibLE Hiding Network. - Junjie Huang 001; Zihan Chen; Tianrui Liu 001; Wentao Zhao; Xin Deng 002; Xinwang Liu 002; Meng Wang 001; Pier Luigi Dragotti (CoRR, 2025)

A Lightweight Deep Exclusion Unfolding Network for Single Image Reflection Removal. - Junjie Huang 001; Tianrui Liu 001; Zihan Chen; Xinwang Liu 002; Meng Wang 001; Pier Luigi Dragotti (IEEE Trans. Pattern Anal. Mach. Intell., 2025)