Jingjing Deng - RankMe

63 papers A* 1B 13C 1Journal 37Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BOOST: Out-of-distribution-informed adaptive sampling for bias mitigation in stylistic convolutional neural networks. Expert Syst. Appl. Mridula Vijendran, Shuang Chen, Jingjing Deng, Hubert P. H. Shum
2026	J	`jnl`	Enhancing the impact of model performance gains for semi-supervised medical image segmentation. Pattern Recognit. Wenbin Zuo, Hongying Liu, Huadeng Wang, Lingqi Zeng, Ningning Tang, Fanhua Shang, Liang Wan, Jingjing Deng
2025	J	`jnl`	Artificial intelligence for geometry-based feature extraction, analysis and synthesis in artistic images: a survey. Artif. Intell. Rev. Mridula Vijendran, Jingjing Deng, Shuang Chen, Edmond S. L. Ho, Hubert P. H. Shum
2025	J	`jnl`	BOOST: Out-of-Distribution-Informed Adaptive Sampling for Bias Mitigation in Stylistic Convolutional Neural Networks. CoRR Mridula Vijendran, Shuang Chen, Jingjing Deng, Hubert P. H. Shum
2025	J	`jnl`	FMDConv: Fast Multi-Attention Dynamic Convolution via Speed-Accuracy Trade-off. CoRR Tianyu Zhang, Fan Wan, Haoran Duan, Kevin W. Tong, Jingjing Deng, Yang Long
2025	J	`jnl`	FMDConv: Fast multi-attention dynamic convolution via speed-accuracy trade-off. Knowl. Based Syst. Tianyu Zhang, Fan Wan, Haoran Duan, Kevin W. Tong, Jingjing Deng, Yang Long
2025	J	`jnl`	Few-Shot Medical Image Segmentation With High-Confidence Prior Mask. IEEE J. Biomed. Health Informatics Ziming Cheng, Jianqin Zhao, Jingjing Deng, Haofeng Zhang
2025	A*	`conf`	FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition. IJCAI Chen Hu, Hanchi Ren, Jingjing Deng, Xianghua Xie, Xiaoke Ma
2025	J	`jnl`	From Local Patterns to Global Understanding: Cross-Stock Trend Integration for Enhanced Predictive Modeling. CoRR Yi Hu, Hanchi Ren, Jingjing Deng, Xianghua Xie
2025	J	`jnl`	Imbuing, Enrichment and Calibration: Leveraging Language for Unseen Domain Extension. Int. J. Comput. Vis. Chenyi Jiang, Jianqin Zhao, Jingjing Deng, Zechao Li, Haofeng Zhang
2025	—	`conf`	Safeguarding Privacy for Medical Data with a Novel Key-Lock Module in Federated Learning. AIiH (2) Hanchi Ren, Jingjing Deng, Xianghua Xie, Xiaoke Ma, Jianfeng Ma
2025	J	`jnl`	Sparse representation for restoring images by exploiting topological structure of graph of patches. IET Image Process. Yaxian Gao, Zhaoyuan Cai, Xianghua Xie, Jingjing Deng, Zengfa Dou, Xiaoke Ma
2025	—	`conf`	TRACE: Temporally Reliable Anatomically-Conditioned 3D CT Generation with Enhanced Efficiency. MICCAI (4) Minye Shao, Xingyu Miao, Haoran Duan, Zeyu Wang, Jingkun Chen, Yawen Huang, Xian Wu, Jingjing Deng, Yang Long, Yefeng Zheng
2025	J	`jnl`	TRACE: Temporally Reliable Anatomically-Conditioned 3D CT Generation with Enhanced Efficiency. CoRR Minye Shao, Xingyu Miao, Haoran Duan, Zeyu Wang, Jingkun Chen, Yawen Huang, Xian Wu, Jingjing Deng, Yang Long, Yefeng Zheng
2025	B	`conf`	Task-Oriented Robotic Manipulation with Vision Language Models. ACIVS Nurhan Bulus Guran, Hanchi Ren, Jingjing Deng, Xianghua Xie
2024	J	`jnl`	A survey on vulnerability of federated learning: A learning algorithm perspective. Neurocomputing Xianghua Xie, Chen Hu, Hanchi Ren, Jingjing Deng
2024	J	`jnl`	Adaptive Graph Learning from Spatial Information for Surgical Workflow Anticipation. CoRR Francis Xiatian Zhang, Jingjing Deng, Robert Lieck, Hubert P. H. Shum
2024	J	`jnl`	An Element-Wise Weights Aggregation Method for Federated Learning. CoRR Yi Hu, Hanchi Ren, Chen Hu, Jingjing Deng, Xianghua Xie
2024	J	`jnl`	Artificial Intelligence for Geometry-Based Feature Extraction, Analysis and Synthesis in Artistic Images: A Survey. CoRR Mridula Vijendran, Jingjing Deng, Shuang Chen, Edmond S. L. Ho, Hubert P. H. Shum
2024	—	`conf`	Centersam: Fully Automatic Prompt for Dense Nucleus Segmentation. ISBI Yiming Li, Hanchi Ren, Jingjing Deng, Xiaoke Ma, Xianghua Xie
2024	J	`jnl`	Distributed Learning for UAV Swarms. CoRR Chen Hu, Hanchi Ren, Jingjing Deng, Xianghua Xie
2024	J	`jnl`	FedBoosting: Federated learning with gradient protected boosting for text recognition. Neurocomputing Hanchi Ren, Jingjing Deng, Xianghua Xie, Xiaoke Ma, Yichuan Wang
2024	J	`jnl`	FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition. CoRR Chen Hu, Jingjing Deng, Xianghua Xie, Xiaoke Ma
2024	J	`jnl`	Image restoration with group sparse representation and low-rank group residual learning. IET Image Process. Zhaoyuan Cai, Xianghua Xie, Jingjing Deng, Zengfa Dou, Bo Tong, Xiaoke Ma
2024	J	`jnl`	ST-SACLF: Style Transfer Informed Self-Attention Classifier for Bias-Aware Painting Classification. CoRR Mridula Vijendran, Frederick W. B. Li, Jingjing Deng, Hubert P. H. Shum
2024	J	`jnl`	Sentinel-Guided Zero-Shot Learning: A Collaborative Paradigm Without Real Data Exposure. IEEE Trans. Circuits Syst. Video Technol. Fan Wan, Xingyu Miao, Haoran Duan, Jingjing Deng, Rui Gao, Yang Long
2024	J	`jnl`	Sentinel-Guided Zero-Shot Learning: A Collaborative Paradigm without Real Data Exposure. CoRR Fan Wan, Xingyu Miao, Haoran Duan, Jingjing Deng, Rui Gao, Yang Long
2024	J	`jnl`	Task-oriented Robotic Manipulation with Vision Language Models. CoRR Nurhan Bulus Guran, Hanchi Ren, Jingjing Deng, Xianghua Xie
2024	J	`jnl`	Triplane Grasping: Efficient 6-DoF Grasping with Single RGB Images. CoRR Yiming Li, Hanchi Ren, Jingjing Deng, Xianghua Xie
2023	J	`jnl`	A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective. CoRR Xianghua Xie, Chen Hu, Hanchi Ren, Jingjing Deng
2023	—	`conf`	An Element-Wise Weights Aggregation Method for Federated Learning. ICDM (Workshops) Yi Hu, Hanchi Ren, Chen Hu, Jingjing Deng, Xianghua Xie
2023	J	`jnl`	Gradient Leakage Defense with Key-Lock Module for Federated Learning. CoRR Hanchi Ren, Jingjing Deng, Xianghua Xie, Xiaoke Ma, Jianfeng Ma
2022	J	`jnl`	A directed graph convolutional neural network for edge-structured signals in link-fault detection. Pattern Recognit. Lett. Michael P. Kenning, Jingjing Deng, Michael Edwards, Xianghua Xie
2022	J	`jnl`	GRNN: Generative Regression Neural Network - A Data Leakage Attack for Federated Learning. ACM Trans. Intell. Syst. Technol. Hanchi Ren, Jingjing Deng, Xianghua Xie
2022	J	`jnl`	Joint multi-label learning and feature extraction for temporal link prediction. Pattern Recognit. Xiaoke Ma, Shiyin Tan, Xianghua Xie, Xiaoxiong Zhong, Jingjing Deng
2021	J	`jnl`	3D Interactive Segmentation With Semi-Implicit Representation and Active Learning. IEEE Trans. Image Process. Jingjing Deng, Xianghua Xie
2021	J	`jnl`	GRNN: Generative Regression Neural Network - A Data Leakage Attack for Federated Learning. CoRR Hanchi Ren, Jingjing Deng, Xianghua Xie
2021	C	`conf`	Locating Datacenter Link Faults with a Directed Graph Convolutional Neural Network. ICPRAM Michael P. Kenning, Jingjing Deng, Michael Edwards, Xianghua Xie
2021	J	`jnl`	TLGP: a flexible transfer learning algorithm for gene prioritization based on heterogeneous source domain. BMC Bioinform. Yan Wang, Zuheng Xia, Jingjing Deng, Xianghua Xie, Maoguo Gong, Xiaoke Ma
2020	B	`conf`	Lossless Compression For Volumetric Medical Images Using Deep Neural Network With Local Sampling. ICIP Omniah H. Nagoor, Joss Whittle, Jingjing Deng, Benjamin Mora, Mark W. Jones
2020	B	`conf`	MedZip: 3D Medical Images Lossless Compressor Using Recurrent Neural Network (LSTM). ICPR Omniah H. Nagoor, Joss Whittle, Jingjing Deng, Benjamin Mora, Mark W. Jones
2020	J	`jnl`	Privacy Preserving Text Recognition with Gradient-Boosting for Federated Learning. CoRR Hanchi Ren, Jingjing Deng, Xianghua Xie
2019	—	`conf`	Learning Discriminatory Deep Clustering Models. CAIP (1) Ali Alqahtani, Xianghua Xie, Jingjing Deng, Mark W. Jones
2018	B	`conf`	A Deep Convolutional Auto-Encoder with Embedded Clustering. ICIP Ali Alqahtani, Xianghua Xie, Jingjing Deng, Mark W. Jones
2018	B	`conf`	Local Representation Learning with A Convolutional Autoencoder. ICIP Michael P. Kenning, Xianghua Xie, Michael Edwards, Jingjing Deng
2018	B	`conf`	Recurrent Neural Networks for Financial Time-Series Modelling. ICPR Gavin Tsang, Jingjing Deng, Xianghua Xie
2017	B	`conf`	AMD Classification in Choroidal OCT Using Hierarchical Texton Mining. ACIVS Dafydd Ravenscroft, Jingjing Deng, Xianghua Xie, Louise Terry, Tom H. Margrain, Rachel V. North, Ashley Wood
2017	—	`—`	Adaptive learning for segmentation and detection. Jingjing Deng
2017	B	`conf`	Detect face in the wild using CNN cascade with feature aggregation at multi-resolution. ICIP Jingjing Deng, Xianghua Xie
2017	—	`conf`	Labeling subtle conversational interactions within the CONVERSE dataset. PerCom Workshops Michael Edwards, Jingjing Deng, Xianghua Xie
2017	—	`conf`	Learning feature extractors for AMD classification in OCT using convolutional neural networks. EUSIPCO Dafydd Ravenscroft, Jingjing Deng, Xianghua Xie, Louise Terry, Tom H. Margrain, Rachel V. North, Ashley Wood
2017	B	`conf`	Nested Shallow CNN-Cascade for Face Detection in the Wild. FG Jingjing Deng, Xianghua Xie
2016	—	`conf`	Age-Related Macular Degeneration Detection and Stage Classification Using Choroidal OCT Images. ICIAR Jingjing Deng, Xianghua Xie, Louise Terry, Ashley Wood, Nick S. White, Tom H. Margrain, Rachel V. North
2016	B	`conf`	Combining Stacked Denoising Autoencoders and Random Forests for Face Detection. ACIVS Jingjing Deng, Xianghua Xie, Michael Edwards
2016	J	`jnl`	Fixing the root node: Efficient tracking and detection of 3D human pose through local solutions. Image Vis. Comput. Ben Daubney, Xianghua Xie, Jingjing Deng, Neil Mac Parthaláin, Reyer Zwiggelaar
2016	J	`jnl`	From pose to activity: Surveying datasets and introducing CONVERSE. Comput. Vis. Image Underst. Michael Edwards, Jingjing Deng, Xianghua Xie
2015	J	`jnl`	From Pose to Activity: Surveying Datasets and Introducing CONVERSE. CoRR Michael Edwards, Jingjing Deng, Xianghua Xie
2014	B	`conf`	3D interactive coronary artery segmentation using random forests and Markov random field optimization. ICIP Jingjing Deng, Xianghua Xie, Rob Alcock, Carl Roobottom
2014	J	`jnl`	A bag of words approach to subject specific 3D human pose interaction classification with random decision forests. Graph. Model. Jingjing Deng, Xianghua Xie, Ben Daubney
2014	—	`conf`	Conversational Interaction Recognition Based on Bodily and Facial Movement. ICIAR (1) Jingjing Deng, Xianghua Xie, Shang-Ming Zhou
2014	—	`conf`	Protein classification using Hidden Markov models and randomised decision trees. BMEI Arron Lacey, Jingjing Deng, Xianghua Xie
2013	B	`conf`	From clamped local shape models to global shape model. ICIP Hui Fang, Jingjing Deng, Xianghua Xie, Philip W. Grant
2013	B	`conf`	Recognizing Conversational Interaction Based on 3D Human Pose. ACIVS Jingjing Deng, Xianghua Xie, Ben Daubney, Hui Fang, Phil W. Grant