| 2026 | AAAI | Enhancing Kernel Power $K$-means: Scalable and Robust Clustering with Random Fourier Features and Possibilistic Method. | Yixi Chen, Weixuan Liang, Tianrui Liu, Jun-Jie Huang, Ao Li, Xueling Zhu, Xinwang Liu |
| 2026 | AAAI | CLUENet: Cluster Attention Makes Neural Networks Have Eyes. | Xiangshuai Song, Jun-Jie Huang, Tianrui Liu, Ke Liang, Chang Tang |
| 2025 | DSN | SemiAF: Semi-Supervised App Fingerprinting on Unknown Traffic via Graph Neural Network. | Xiaodong Lei, Yongjun Wang, Lin Liu, Jun-Jie Huang, Jiangyong Shi, Luming Yang |
| 2025 | ICASSP | HyperSDT: HyperNetwork Slide Decision Tree for Interpretable Tabular Learning. | Nan Hu, Xueqiong Li, Jun-Jie Huang, Zhenhua Liang, Shaowu Yang, Ji Wang |
| 2025 | ICASSP | Multi-layer Network Disintegration via Deep Reinforcement Learning. | Zhenhua Liang, Xueqiong Li, Jun-Jie Huang, Nan Hu, Shaowu Yang, Hengzhu Liu |
| 2025 | IJCAI | LRGR: Self-Supervised Incomplete Multi-View Clustering via Local Refinement and Global Realignment. | Yanwanyu Xi, Xiao Zheng, Chang Tang, Xingchen Hu, Yuanyuan Liu, Jun-Jie Huang, Xinwang Liu |
| 2024 | ICASSP | Invertible Mosaic Image Hiding Network for Very Large Capacity Image Steganography. | Zihan Chen, Tianrui Liu, Jun-Jie Huang, Wentao Zhao, Xing Bi, Meng Wang |
| 2024 | ICASSP | DURRNET: Deep Unfolded Single Image Reflection Removal Network with Joint Prior. | Jun-Jie Huang, Tianrui Liu, Jingyuan Xia, Meng Wang, Pier Luigi Dragotti |
| 2024 | ICASSP | GCIA: A Black-Box Graph Injection Attack Method Via Graph Contrastive Learning. | Xiao Liu, Jun-Jie Huang, Wentao Zhao |
| 2023 | AAAI | Imperceptible Adversarial Attack via Invertible Neural Networks. | Zihan Chen, Ziyue Wang, Jun-Jie Huang, Wentao Zhao, Xiao Liu, Dejian Guan |
| 2023 | APWEB | Multi-patch Adversarial Attack for Remote Sensing Image Classification. | Ziyue Wang, Jun-Jie Huang, Tianrui Liu, Zihan Chen, Wentao Zhao, Xiao Liu, Yi Pan, Lin Liu |
| 2023 | IPCCC | TBP: Tree structure Burst-sequence Padding Defense Against Website Fingerprinting. | Yankun Wang, Yongjun Wang, Jun-Jie Huang, Yongxin Chen |
| 2023 | TrustCom | SecGAN: Honest-Majority Maliciously 3PC Framework for Privacy-Preserving Image Synthesis. | Yuting Yang, Lin Liu, Shaojing Fu, Jun-Jie Huang, Yuchuan Luo |
| 2020 | ICASSP | Reconstruction of Fri Signals Using Deep Neural Network Approaches. | Vincent C. H. Leung, Jun-Jie Huang, Pier Luigi Dragotti |
| 2020 | ICASSP | Gated Multi-Layer Convolutional Feature Extraction Network for Robust Pedestrian Detection. | Tianrui Liu, Jun-Jie Huang, Tianhong Dai, Guangyu Ren, Tania Stathaki |
| 2020 | ICASSP | Revealing Hidden Drawings in Leonardo's 'the Virgin of the Rocks' from Macro X-Ray Fluorescence Scanning Data through Element Line Localisation. | Su Yan, Jun-Jie Huang, Nathan Daly, Catherine Higgitt, Pier Luigi Dragotti |
| 2019 | ICASSP | A Deep Dictionary Model to Preserve and Disentangle Key Features in a Signal. | Jun-Jie Huang, Pier Luigi Dragotti |
| 2018 | ICASSP | A Deep Dictionary Model for Image Super-Resolution. | Jun-Jie Huang, Pier Luigi Dragotti |
| 2017 | CVPR | SRHRF+: Self-Example Enhanced Single Image Super-Resolution Using Hierarchical Random Forests. | Jun-Jie Huang, Tianrui Liu, Pier Luigi Dragotti, Tania Stathaki |
| 2017 | ICASSP | ProSparse extension: Prony's based sparse pattern recovery with extended dictionaries. | Jun-Jie Huang, Pier Luigi Dragotti |
| 2015 | ICASSP | Fast image interpolation with decision tree. | Jun-Jie Huang, Wan-Chi Siu |
| 2015 | ISCAS | Practical application of random forests for super-resolution imaging. | Jun-Jie Huang, Wan-Chi Siu |
| 2014 | ICIP | Using large color LBP in generalized hough transform. | Jun-Jie Huang, Wan-Chi Siu |