2024-06 Invited to serve as a PC member of AAAI 2025.
2024-04 One paper on Adversarial Attack for Remote Sensing lmage Classification has been accepted by IEEE TGRS, congratulations Ziyue!
(Code Available)
2024-04 One paper has been accepted by IEEE/ACM IWQOS 2024, congratulations Luming!
2024-03 Our paper WINNet: Wavelet-inspired Invertible Network for Image Denoising has been identifed as one of the IEEE SPS’s top 25 downloaded articles from Sept. 2022 - Sept. 2023 for IEEE TIP on IEEE Xplore®!
2024-03 One paper on video adversarial attack have been accepted by IEEE ICME 2024, congratulations Yi!
2023-12 Three papers have been accepted by IEEE ICASSP 2024!
2023-08 One paper on Website Fingerprinting Defense has been accepted by IEEE IPCCC 2023, congratulations Yankun!
2023-07 One paper on Adversarial Attack for Remote Sensing Images has been accepted by APWeb-WAIM 2023, congratulations Ziyue!
2023-06 One paper on Multi-view Subspace Clustering has been accepted by Neural Networks!
2023-06 One paper on Learing-based FRI Reconstruction has been accepted by IEEE TSP!
2023-05 One paper on Macro X-Ray Fluorescence Deconvolution has been accepted by IEEE TCI!
2023-02 One paper on Macro X-Ray Fluorescence Super-Resolution has been accepted by ICASSP 2023!
2022-11 One paper on Imperceptible Adversarial Attack has been accepted by AAAI 2023, congratulations to my Msc students Zihan and Ziyue!
(Code Available)
2022-09 One paper on Stability and Generalization of Kernel Clustering has been accepted by NeurIPS 2022!
2022-09 One paper Revealing and Reconstructing Hidden or Lost Features in Art Investigation has been accepted by IEEE BITS the Information Theory Magazine!
2022-06 One paper on invertible neural networks for image denoising has been accepted by IEEE TIP!
(Code Available)
2022-05 One paper on self-supervised deep unfolding network for X-ray image separation has been accepted by IEEE TIP!
2022-05 One paper on FRI-based image super-resolution has been accepted by EUSIPCO'22, congratulations Renke!
2022-03 One paper on meta-learning for non-convex optimization has been accepted by IEEE TNNLS!
2021-12 One paper on video summarization has been accepted by IEEE TIP!
2021-08 One paper on XRF deconvolution has been accepted by IEEE TCI, congratulations Su!
2021-07 Please find the
Code of "Learning Deep Analysis Dictionaries for Image Super-Resolution". If you have any questions, please feel free to contact me!
2021-05 Three papers have been accepted by EUSIPCO'21!
2020-11 One paper on deep analysis dictionary learning has been accepted by IEEE TSP!
2020-11 One paper on pedestrian detection has been accepted by IEEE TIP, congratulations Tianrui!
2020-10 One paper on deep phase retrieval has been accepted by Signal Processing, congratulations Qi!
2020-02 Please check our recent research on
revealing hidden secrets of DaVinci's Virgin of
the Rocks (
Video and
Article)!
2022 Top-notch Talent Support Program of NUDT (NUDT拔尖人才计划)
2021 Hundred Talent Program of Hunan Province, China (湖南“百人计划”海外高层次引进人才)
2019 Chinese Government Award for Outstanding Self-financed Students Abroad (国家优秀自费留学生奖学金)
Xiao Liu, Graph Adversarial Attack, (PhD Student, 2019 - ) Co-supervise with Prof. Wentao Zhao
Zihan Chen, Multi-Task Image Restoration, (PhD Student, 2024 - ) Co-supervise with Prof. Wentao Zhao
Yankun Wang, Generative Flow, (PhD Student, 2024 - ) Co-supervise with Prof. Yongjun Wang
Qian Yao, AIGC Detection, (PhD Student, 2024 - ) Co-supervise with Prof. Yongjun Wang
Chenbo Huang, Object Re-identification, (PhD Student, 2024 - ) Co-supervise with Prof. Yuanxi Peng
Yi Pan, Video Adversarial Attack, (Master Student, 2022 - ) Co-supervise with Prof. Wentao Zhao
Maoyi Xiong, Diffusion Model for Image Fusion, (Master Student, 2023 - ) Co-supervise with Prof. Wentao Zhao
Boya Miao, Test-Time Training, (PhD Student, 2024 - ) Co-supervise with Prof. Xuejun Yang, Prof. Wenjing Yang
Ziyue Wang, Physical World Adversarial Patch Attack for Remote Sensing Images, (Master Student, 2021 - 2023) Co-supervise with Prof. Wentao Zhao
Zihan Chen, Image Hiding based on Invertible Neural Network, (Master Student, 2021 - 2023) Co-supervise with Prof. Wentao Zhao
Yankun Wang, Website Fingerprinting Defense for Tor Network, (Master Student, 2021 - 2023) Co-supervise with Prof. Yongjun Wang
1. Jun-Jie Huang#, Ziyue Wang#, Tianrui Liu*, Wenhan Luo, Zihan Chen, Wentao Zhao*, and Meng Wang,
"DeMPAA: Deployable Multi-Mini-Patch Adversarial Attack for Remote Sensing Image Classification,"
IEEE Transactions on Geoscience and Remote Sensing, 2024. (# co-first author, * corresponding author)
2. Chuan Tang, Kun Sun, Chang Tang, Xiao Zheng, Xinwang Liu, Jun-Jie Huang, Wei Zhang,
"Multi-view subspace clustering via adaptive graph learning and late fusion alignment,"
Neural Networks, 2024.
3. Vincent C. H. Leung,
Jun-Jie Huang, Yonina C. Eldar, Pier Luigi Dragotti,
"
Learning-based Reconstruction of FRI Signals,"
IEEE Transactions on Signal Processing, 2023.
[PDF]
4. Su Yan,
Jun-Jie Huang, Herman Verinaz-Jadan, Nathan Daly, Catherine Higgit, and Pier Luigi Dragotti,
"
A Fast Automatic Method for Deconvoluting Macro X-ray Fluorescence Data Collected from Easel Paintings,"
IEEE Transactions on Computational Imaging, 2023.
[PDF]
5. Barak Sober, Spike Bucklow, Nathan Daly, Ingrid Daubechies,
Pier Luigi Dragotti, Catherine Higgit, Jun-Jie Huang,
Aleksandra Piˇzurica, Wei Pu, Suzanne Reynold, Miguel Rodrigue, Carola-Bibiane Sch ̈onlieb,
and Su Yan, "Revealing and Reconstructing Hidden or Lost Features in Art Investigation,"
IEEE BITS the Information Theory Magazine, 2022.
6.
Jun-Jie Huang, and Pier Luigi Dragotti, "
WINNet: Wavelet-inspired Invertible Network for Image Denoising,"
IEEE Trans. on Image Processing, vol. 31, pp. 4377 - 4392, June 2022.
[PDF]
[BibTeX] [Code]
7. Wei Pu#,
Jun-Jie Huang#*, Barak Sober, Nathan Daly, Catherine Higgitt, Ingrid Daubechies, Pier Luigi Dragotti, and Miguel Rodigues, "
Mixed X-Ray Image Separation for Artworks with Concealed Designs,"
IEEE Trans. on Image Processing, vol.31, pp. 4458 - 4473, June 2022. (# co-first author, * corresponding author)
[PDF]
[BibTeX] [Code Coming Soon!]
8. Jingyuan Xia, Shengxi Li,
Jun-Jie Huang*, Imad Jaimoukha, and Deniz Gunduz, "
Meta-learning based Alternating Minimization Algorithm for Non-convex Optimization
," IEEE Trans. on Neural Networks and Learning Systems, 2022. (* corresponding author)
[PDF]
[BibTeX] [Code]
9. Tianrui Liu, Qingjie Meng,
Jun-Jie Huang, Athanasios Vlontzos, Daniel Rueckert and Bernhard Kainz, "
Video Summarization through Reinforcement Learning with a 3D Spatio-Temporal U-Net,"
IEEE Trans. on Image Processing, vol. 31, pp. 1573 - 1586, January 2022.
[PDF]
[BibTeX]
10. Su Yan,
Jun-Jie Huang*, Nathan Daly, Catherine Higgitt and Pier Luigi Dragotti, "
When de Prony Met Leonardo: An Automatic Algorithm for Chemical Element Extraction from Macro X-ray Fluorescence Data,"
IEEE Trans. on Computational Imaging, vol. 7, pp. 908-924, 2021. (*Corresponding author)
[PDF]
[BibTeX]
11.
Jun-Jie Huang, and Pier Luigi Dragotti,
"
Learning Deep Analysis Dictionaries for Image Super-Resolution,"
IEEE Trans. on Signal Processing, vol. 68, pp. 6633-6648, 2020.
[PDF]
[BibTeX] [Code]
12. Tianrui Liu, Wenhan Luo, Lin Ma,
Jun-Jie Huang*, Tania Stathaki and Tianhong Dai, "
Coupled Network for Robust Pedestrian Detection with Gated Multi-Layer Feature Extraction and Deformable Occlusion Handling,"
IEEE Trans. on Image Processing, vol. 30, pp. 754-766, 2021. (*Corresponding author)
[PDF]
[BibTeX]
13. Qi Yu,
Jun-Jie Huang*, Jubo Zhu, Wei Dai and Pier Luigi Dragotti,
"
Deep Phase Retrieval: Analyzing Over-Parameterization in Phase Retrieval,"
Signal Processing, vol. 180, pp. 107866, 2021. (*Corresponding author)
[PD]F
[BibTeX]
[Code]
14. Jun-Jie Huang and Pier Luigi Dragotti,
"Photo Realistic Image Completion via Dense Correspondence,"
IEEE Trans. on Image Processing, vol 27, no. 11, pp. 5234-5247, November 2018.
[PDF]
[BibTeX]
[YouTube Video]
[Code]
15.
Jun-Jie Huang and Wan-Chi Siu,
"
Learning Hierarchical Decision Trees for Single Image Super-Resolution,"
IEEE Trans. on Circuits and Systems for Video Technology, vol. 27, no. 5, pp. 937-950, 2017.
(State-of-the-art image super-resolution results!)
[PDF]
[BibTeX]
[Executable Code]
[Evaluation Results]
16.
Jun-Jie Huang, Wan-Chi Siu and Tian-Rui Liu,
"
Fast Image Interpolation via Random Forests," IEEE Trans. on Image Processing, vol. 24, no. 10, pp. 3232-3245, 2015.
(State-of-the-art image interpolation results!)
[PDF]
[BibTeX]
[Project Page]
1.Yi Pan,
Jun-Jie Huang, Zihan Chen, Wentao Zhao, and Ziyue Wang,
"
SVASTIN: Sparse Video Adversarial Attack via Spatio-Temporal Invertible Neural Networks,"
2024 IEEE International Conference on Multimedia and Expo (ICME), 2024.
[PDF]
2.
Jun-Jie Huang, Tianrui Liu, Jingyuan Xia, Meng Wang, and Pier Luigi Dragotti,
"
DURRNET: Deep Unfolded Single Image Reflection Removal Network with Joint Prior,"
2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024.
[PDF]
[Code]
3. Xiao Liu,
Jun-Jie Huang, and Wentao Zhao,
"
GCIA: A Black-Box Graph Injection Attack Method Via Graph Contrastive Learning,"
2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024.
[PDF]
[Code]
4. Zihan Chen, Tianrui Liu,
Jun-Jie Huang, Wentao Zhao, Xing Bi, and Meng Wang,
"
Invertible Mosaic Image Hiding Network for Very Large Capacity Image Steganography,"
2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024.
[PDF]
[Code]
5. Yankun Wang, Yongjun Wang,
Jun-Jie Huang, and Yongxin Chen,
"
TBP: Tree structure Burst-sequence Padding Defense Against Website Fingerprinting,"
2023 IEEE International Performance, Computing, and Communications Conference (IPCCC), 2023.
[PDF]
6. Yuting Yang, Lin Liu, Shaojing Fu,
Jun-Jie Huang, and Yuchuan Luo,
"
SecGAN: Honest-Majority Maliciously 3PC Framework for Privacy-Preserving Image Synthesis,"
2023 IEEE International Performance, Computing, and Communications Conference (IPCCC), 2023.
[PDF]
7. Ziyue Wang,
Jun-Jie Huang, Tianrui Liu, et. al.,
"
Multi-patch adversarial attack for remote sensing image classification,"
Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data, 2023.
[PDF]
8.Su Ya, Herman Verinaz-Jadan,
Jun-Jie Huang, Nathan Daly, Catherine Higgitt, and Pier Luigi Dragotti,
"
Super-Resolution For Macro X-Ray Fluorescence Data Collected From Old Master Paintings,"
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023.
[PDF]
9. Zihan Chen#, Ziyue Wang#,
Jun-Jie Huang*, Wentao Zhao, Xiao Liu, and Dejian Guan,
"
Imperceptible Adversarial Attack via Invertible Neural Networks,"
Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI) 2023. (#equal contribution, *corresponding author)
[PDF]
[BibTeX]
[Code]
10. Weixuan Liang, Xinwang Liu, Yong Liu, Sihang zhou,
Jun-Jie Huang, Siwei Wang, Jiyuan Liu, Yi Zhang, and En Zhu,
"
Stability and Generalization of Kernel Clustering: from Single Kernel to Multiple Kernel,"
Thirty-Sixth Conference on Neural Information Processing Systems (NeurIPS) 2022.
[PDF]
11. Renke Wang,
Jun-Jie Huang, and Pier Luigi Dragotti,
"
FRISPEE: FRI-Based Single Image Super-Resolution with Deep Recursive Residual Network,"
European Signal Processing Conference (EUSIPCO) 2022.
[PDF]
12.
Jun-Jie Huang, and Pier Luigi Dragotti,
"
LINN: Lifting Inspired Invertible Neural Networks for Image Denoising,"
European Signal Processing Conference (EUSIPCO) 2021.
[PDF]
[Slides]
[BibTeX]
13. Wei Pu, Jun-Jie Huang, Barak Sober, Nathan Daly, Catherine Higgitt, Pier Luigi Dragotti, Ingrid Daubechies, Miguel Rodrigues,
"A Learning Based Approach to Separate Mixed X-Ray Images Associated with Artwork with Concealed Designs,"
European Signal Processing Conference (EUSIPCO) 2021.
14. Vincent C. H. Leung, Jun-Jie Huang, Yonina C. Eldar, Pier Luigi Dragotti,
"Reconstruction of FRI Signals using Autoencoder with Fixed Decoder,"
European Signal Processing Conference (EUSIPCO) 2021.
15. Tianrui Liu,
Jun-Jie Huang, Tianhong Dai, Guangyu Ren, and Tania Stathaki,
"
Gated Multi-layer Convolutional Feature Extraction Network for Robust Pedestrian Detection,"
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’2020).
[PDF] [BibTeX]
16. Vincent Chi Hang Leung, Jun-Jie Huang, and Pier Luigi Dragotti,
"Reconstruction of FRI Signals using Deep Neural Network Approaches,"
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’2020). (Oral)
17. Su Yan, Jun-Jie Huang, Nathan Daly, Catherine Higgitt, and Pier Luigi Dragotti,
"Revealing Hidden Drawings in Leonardo's 'The Virgin of the Rocks' from MACRO X-RAY Fluorescence Scanning Data through Element Line Localisation,"
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’2020). (Oral)
18.
Jun-Jie Huang, and Pier Luigi Dragotti,
"
A Deep Analysis Dictionary Model,"
Proceedings, The Signal Processing with Adaptive Sparse Structured Representations workshop (SPARS’2019).
[PDF] [BibTeX]
19. Vincent Chi Hang Leung,
Jun-Jie Huang, and Pier Luigi Dragotti,
"
Reconstruction of FRI Signals using Deep Neural Networks,"
Proceedings, The Signal Processing with Adaptive Sparse Structured Representations workshop (SPARS’2019).
[PDF] [BibTeX]
20.
Jun-Jie Huang, and Pier Luigi Dragotti,
"
A Deep Dictionary Model to Preserve and Disentangle Key Features in A signal,"
Proceedings, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’2019).
[PDF] [BibTeX] [Poster]
21.
Jun-Jie Huang, and Pier Luigi Dragotti, "
A Deep Dictionary Model for Image Super-Resolution,"
Proceedings, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’2018).
(oral presentation @ Special Session on Learning Signal Representation using Deep Learning).
[PDF] [BibTeX]
22. Xin Deng,
Jun-Jie Huang, Mengying Liu, and Pier Luigi Dragotti,
"
U-FRESH: An FRI-based Single Image Super Resolution Algorithm and An Application in Image Compression,"
Proceedings, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’2018).
[PDF] [BibTeX]
23.
Jun-Jie Huang, Tianrui Liu, Pier Luigi Dragotti, and Tania Stathaki,
"
SRHRF+: Self-Example Enhanced Single Image Super-Resolution Using Hierarchical Random Forests,"
Proceedings, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop on New Trends in Image Restoration and Enhancement, July 2017.
[PDF] [BibTeX] [Poster]
24.
Jun-Jie Huang and Pier Luigi Dragotti,
"
Sparse Signal Recovery Using Structured Total Maximum Likelihood,"
Proceedings, Sampling Theory and Applications, 12th International Conference (SampTA’2017), July 3 – 7, 2017, Tallinn, Estonia.
[PDF] [BibTeX]
25.
Jun-Jie Huang and Pier Luigi Dragotti,
"
ProSparse Extension: Prony's Based Sparse Pattern Recovery with Extended Dictionaries,"
Proceedings, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’2017), 5-9 March 2017, New Orleans, USA. (Oral)
[PDF] [BibTeX]
26.
Jun-Jie Huang and Wan-Chi Siu,
"
Fast Image Interpolation with Decision Tree,"
Proceedings, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’2015), 19-24 April 2015, Brisbane, Australia. (Oral)
[PDF] [BibTeX]
27.
Jun-Jie Huang and Wan-Chi Siu,
"
Practical Applications of Random Forests for Super-Resolution Imaging,"
Proceedings, IEEE International Symposium on Circuits and Systems, (ISCAS’2015), 24-27 May 2015, Lisbon, Portugal.
[PDF] [BibTeX]
28.
Jun-Jie Huang and Wan-Chi Siu, "
Large Colour LBP in Generalized Hough Transform,"
Proceedings, IEEE International Conference on Image Processing, (ICIP’2014), 27-30, October 2014, Paris, France.
[PDF] [BibTeX]