Recognizing Conversational Interaction Based on 3D Human Pose. - Jingjing Deng 001; Xianghua Xie; Ben Daubney; Hui Fang 003; Phil W. Grant (ACIVS, 2013)

From clamped local shape models to global shape model. - Hui Fang 003; Jingjing Deng 001; Xianghua Xie; Philip W. Grant (ICIP, 2013)

Protein classification using Hidden Markov models and randomised decision trees. - Arron Lacey; Jingjing Deng 001; Xianghua Xie (BMEI, 2014)

Conversational Interaction Recognition Based on Bodily and Facial Movement. - Jingjing Deng 001; Xianghua Xie; Shang-Ming Zhou (ICIAR (1), 2014)

3D interactive coronary artery segmentation using random forests and Markov random field optimization. - Jingjing Deng 001; Xianghua Xie; Rob Alcock; Carl Roobottom (ICIP, 2014)

A bag of words approach to subject specific 3D human pose interaction classification with random decision forests. - Jingjing Deng 001; Xianghua Xie; Ben Daubney (Graph. Model., 2014)

Combining Stacked Denoising Autoencoders and Random Forests for Face Detection. - Jingjing Deng 001; Xianghua Xie; Michael Edwards (ACIVS, 2016)

Age-Related Macular Degeneration Detection and Stage Classification Using Choroidal OCT Images. - Jingjing Deng 001; Xianghua Xie; Louise Terry; Ashley Wood; Nick S. White; Tom H. Margrain; Rachel V. North (ICIAR, 2016)

From pose to activity: Surveying datasets and introducing CONVERSE. - Michael Edwards; Jingjing Deng 001; Xianghua Xie (Comput. Vis. Image Underst., 2016)

Fixing the root node: Efficient tracking and detection of 3D human pose through local solutions. - Ben Daubney; Xianghua Xie; Jingjing Deng 001; Neil Mac Parthaláin; Reyer Zwiggelaar (Image Vis. Comput., 2016)

AMD Classification in Choroidal OCT Using Hierarchical Texton Mining. - Dafydd Ravenscroft; Jingjing Deng 001; Xianghua Xie; Louise Terry; Tom H. Margrain; Rachel V. North; Ashley Wood (ACIVS, 2017)

Learning feature extractors for AMD classification in OCT using convolutional neural networks. - Dafydd Ravenscroft; Jingjing Deng 001; Xianghua Xie; Louise Terry; Tom H. Margrain; Rachel V. North; Ashley Wood (EUSIPCO, 2017)

Nested Shallow CNN-Cascade for Face Detection in the Wild. - Jingjing Deng 001; Xianghua Xie (FG, 2017)

Detect face in the wild using CNN cascade with feature aggregation at multi-resolution. - Jingjing Deng 001; Xianghua Xie (ICIP, 2017)

Labeling subtle conversational interactions within the CONVERSE dataset. - Michael Edwards; Jingjing Deng 001; Xianghua Xie (PerCom Workshops, 2017)

Adaptive learning for segmentation and detection. - Jingjing Deng 001 (2017)

A Deep Convolutional Auto-Encoder with Embedded Clustering. - Ali Alqahtani 001; Xianghua Xie; Jingjing Deng 001; Mark W. Jones 001 (ICIP, 2018)

Local Representation Learning with A Convolutional Autoencoder. - Michael P. Kenning; Xianghua Xie; Michael Edwards; Jingjing Deng 001 (ICIP, 2018)

Recurrent Neural Networks for Financial Time-Series Modelling. - Gavin Tsang; Jingjing Deng 001; Xianghua Xie (ICPR, 2018)

Learning Discriminatory Deep Clustering Models. - Ali Alqahtani 001; Xianghua Xie; Jingjing Deng 001; Mark W. Jones 001 (CAIP (1), 2019)

Lossless Compression For Volumetric Medical Images Using Deep Neural Network With Local Sampling. - Omniah H. Nagoor; Joss Whittle; Jingjing Deng 001; Benjamin Mora; Mark W. Jones 001 (ICIP, 2020)

MedZip: 3D Medical Images Lossless Compressor Using Recurrent Neural Network (LSTM). - Omniah H. Nagoor; Joss Whittle; Jingjing Deng 001; Benjamin Mora; Mark W. Jones 001 (ICPR, 2020)

Privacy Preserving Text Recognition with Gradient-Boosting for Federated Learning. - Hanchi Ren; Jingjing Deng 001; Xianghua Xie (CoRR, 2020)

Locating Datacenter Link Faults with a Directed Graph Convolutional Neural Network. - Michael P. Kenning; Jingjing Deng 001; Michael Edwards; Xianghua Xie (ICPRAM, 2021)

TLGP: a flexible transfer learning algorithm for gene prioritization based on heterogeneous source domain. - Yan Wang; Zuheng Xia; Jingjing Deng 001; Xianghua Xie; Maoguo Gong; Xiaoke Ma 001 (BMC Bioinform., 2021)

3D Interactive Segmentation With Semi-Implicit Representation and Active Learning. - Jingjing Deng 001; Xianghua Xie (IEEE Trans. Image Process., 2021)

Joint multi-label learning and feature extraction for temporal link prediction. - Xiaoke Ma 001; Shiyin Tan; Xianghua Xie; Xiaoxiong Zhong; Jingjing Deng 001 (Pattern Recognit., 2022)

A directed graph convolutional neural network for edge-structured signals in link-fault detection. - Michael P. Kenning; Jingjing Deng 001; Michael Edwards; Xianghua Xie (Pattern Recognit. Lett., 2022)

GRNN: Generative Regression Neural Network - A Data Leakage Attack for Federated Learning. - Hanchi Ren; Jingjing Deng 001; Xianghua Xie (ACM Trans. Intell. Syst. Technol., 2022)

An Element-Wise Weights Aggregation Method for Federated Learning. - Yi Hu; Hanchi Ren; Chen Hu; Jingjing Deng 001; Xianghua Xie (ICDM (Workshops), 2023)

Gradient Leakage Defense with Key-Lock Module for Federated Learning. - Hanchi Ren; Jingjing Deng 001; Xianghua Xie; Xiaoke Ma 001; Jianfeng Ma (CoRR, 2023)

Centersam: Fully Automatic Prompt for Dense Nucleus Segmentation. - Yiming Li; Hanchi Ren; Jingjing Deng 001; Xiaoke Ma 001; Xianghua Xie (ISBI, 2024)

ST-SACLF: Style Transfer Informed Self-Attention Classifier for Bias-Aware Painting Classification. - Mridula Vijendran; Frederick W. B. Li; Jingjing Deng 001; Hubert P. H. Shum (CoRR, 2024)

FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition. - Chen Hu; Jingjing Deng 001; Xianghua Xie; Xiaoke Ma 001 (CoRR, 2024)

Task-oriented Robotic Manipulation with Vision Language Models. - Nurhan Bulus Guran; Hanchi Ren; Jingjing Deng 001; Xianghua Xie (CoRR, 2024)

Triplane Grasping: Efficient 6-DoF Grasping with Single RGB Images. - Yiming Li; Hanchi Ren; Jingjing Deng 001; Xianghua Xie (CoRR, 2024)

Distributed Learning for UAV Swarms. - Chen Hu; Hanchi Ren; Jingjing Deng 001; Xianghua Xie (CoRR, 2024)

Adaptive Graph Learning from Spatial Information for Surgical Workflow Anticipation. - Francis Xiatian Zhang; Jingjing Deng 001; Robert Lieck; Hubert P. H. Shum (CoRR, 2024)

Image restoration with group sparse representation and low-rank group residual learning. - Zhaoyuan Cai; Xianghua Xie; Jingjing Deng 001; Zengfa Dou; Bo Tong; Xiaoke Ma 001 (IET Image Process., 2024)

FedBoosting: Federated learning with gradient protected boosting for text recognition. - Hanchi Ren; Jingjing Deng 001; Xianghua Xie; Xiaoke Ma 001; Yichuan Wang (Neurocomputing, 2024)

A survey on vulnerability of federated learning: A learning algorithm perspective. - Xianghua Xie; Chen Hu; Hanchi Ren; Jingjing Deng 001 (Neurocomputing, 2024)

Sentinel-Guided Zero-Shot Learning: A Collaborative Paradigm Without Real Data Exposure. - Fan Wan; Xingyu Miao; Haoran Duan 001; Jingjing Deng 001; Rui Gao; Yang Long 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Safeguarding Privacy for Medical Data with a Novel Key-Lock Module in Federated Learning. - Hanchi Ren; Jingjing Deng 001; Xianghua Xie; Xiaoke Ma 001; Jianfeng Ma (AIiH (2), 2025)

Sparse representation for restoring images by exploiting topological structure of graph of patches. - Yaxian Gao; Zhaoyuan Cai; Xianghua Xie; Jingjing Deng 001; Zengfa Dou; Xiaoke Ma 001 (IET Image Process., 2025)

FMDConv: Fast multi-attention dynamic convolution via speed-accuracy trade-off. - Tianyu Zhang; Fan Wan; Haoran Duan 001; Kevin W. Tong; Jingjing Deng 001; Yang Long 001 (Knowl. Based Syst., 2025)

Artificial intelligence for geometry-based feature extraction, analysis and synthesis in artistic images: a survey. - Mridula Vijendran; Jingjing Deng 001; Shuang Chen 010; Edmond S. L. Ho; Hubert P. H. Shum (Artif. Intell. Rev., 2025)

From Local Patterns to Global Understanding: Cross-Stock Trend Integration for Enhanced Predictive Modeling. - Yi Hu; Hanchi Ren; Jingjing Deng 001; Xianghua Xie (CoRR, 2025)

TRACE: Temporally Reliable Anatomically-Conditioned 3D CT Generation with Enhanced Efficiency. - Minye Shao; Xingyu Miao; Haoran Duan 001; Zeyu Wang 009; Jingkun Chen; Yawen Huang; Xian Wu 001; Jingjing Deng 001; Yang Long 001; Yefeng Zheng 001 (CoRR, 2025)

Imbuing, Enrichment and Calibration: Leveraging Language for Unseen Domain Extension. - Chenyi Jiang; Jianqin Zhao; Jingjing Deng 001; Zechao Li; Haofeng Zhang 001 (Int. J. Comput. Vis., 2025)

BOOST: Out-of-distribution-informed adaptive sampling for bias mitigation in stylistic convolutional neural networks. - Mridula Vijendran; Shuang Chen 010; Jingjing Deng 001; Hubert P. H. Shum (Expert Syst. Appl., 2026)