| 2025 | ACIVS | Task-Oriented Robotic Manipulation with Vision Language Models. | Nurhan Bulus Guran, Hanchi Ren, Jingjing Deng, Xianghua Xie |
| 2025 | IJCAI | FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition. | Chen Hu, Hanchi Ren, Jingjing Deng, Xianghua Xie, Xiaoke Ma |
| 2025 | MICCAI | TRACE: Temporally Reliable Anatomically-Conditioned 3D CT Generation with Enhanced Efficiency. | Minye Shao, Xingyu Miao, Haoran Duan, Zeyu Wang, Jingkun Chen, Yawen Huang, Xian Wu, Jingjing Deng, Yang Long, Yefeng Zheng |
| 2023 | ICDM | An Element-Wise Weights Aggregation Method for Federated Learning. | Yi Hu, Hanchi Ren, Chen Hu, Jingjing Deng, Xianghua Xie |
| 2021 | ICPRAM | Locating Datacenter Link Faults with a Directed Graph Convolutional Neural Network. | Michael P. Kenning, Jingjing Deng, Michael Edwards, Xianghua Xie |
| 2020 | ICIP | Lossless Compression For Volumetric Medical Images Using Deep Neural Network With Local Sampling. | Omniah H. Nagoor, Joss Whittle, Jingjing Deng, Benjamin Mora, Mark W. Jones |
| 2020 | ICPR | MedZip: 3D Medical Images Lossless Compressor Using Recurrent Neural Network (LSTM). | Omniah H. Nagoor, Joss Whittle, Jingjing Deng, Benjamin Mora, Mark W. Jones |
| 2019 | CAIP | Learning Discriminatory Deep Clustering Models. | Ali Alqahtani, Xianghua Xie, Jingjing Deng, Mark W. Jones |
| 2018 | ICIP | A Deep Convolutional Auto-Encoder with Embedded Clustering. | Ali Alqahtani, Xianghua Xie, Jingjing Deng, Mark W. Jones |
| 2018 | ICIP | Local Representation Learning with A Convolutional Autoencoder. | Michael P. Kenning, Xianghua Xie, Michael Edwards, Jingjing Deng |
| 2018 | ICPR | Recurrent Neural Networks for Financial Time-Series Modelling. | Gavin Tsang, Jingjing Deng, Xianghua Xie |
| 2017 | ACIVS | AMD Classification in Choroidal OCT Using Hierarchical Texton Mining. | Dafydd Ravenscroft, Jingjing Deng, Xianghua Xie, Louise Terry, Tom H. Margrain, Rachel V. North, Ashley Wood |
| 2017 | ICIP | Detect face in the wild using CNN cascade with feature aggregation at multi-resolution. | Jingjing Deng, Xianghua Xie |
| 2017 | PERCOM | Labeling subtle conversational interactions within the CONVERSE dataset. | Michael Edwards, Jingjing Deng, Xianghua Xie |
| 2016 | ACIVS | Combining Stacked Denoising Autoencoders and Random Forests for Face Detection. | Jingjing Deng, Xianghua Xie, Michael Edwards |
| 2014 | ICIP | 3D interactive coronary artery segmentation using random forests and Markov random field optimization. | Jingjing Deng, Xianghua Xie, Rob Alcock, Carl Roobottom |
| 2013 | ACIVS | Recognizing Conversational Interaction Based on 3D Human Pose. | Jingjing Deng, Xianghua Xie, Ben Daubney, Hui Fang, Phil W. Grant |
| 2013 | ICIP | From clamped local shape models to global shape model. | Hui Fang, Jingjing Deng, Xianghua Xie, Philip W. Grant |