Xing Deng

According to our database, Xing Deng authored at least 36 papers between 2011 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

CQH-MPN: A Classical-Quantum Hybrid Prototype Network With Fuzzy Proximity-Based Classification for Early Glaucoma Diagnosis.

Wei Liu, Haijian Shao, Xing Deng, Yingtao Jiang

IEEE J. Biomed. Health Informatics, April, 2026

LieTrunc-QNN: Lie Algebra Truncation and Quantum Expressivity Phase Transition from LiePrune to Provably Stable Quantum Neural Networks.

Haijian Shao, Dalong Zhao, Xing Deng, Wenzheng Zhu, Yingtao Jiang

CoRR, April, 2026

Spectral Complex Autoencoder Pruning: A Fidelity-Guided Criterion for Extreme Structured Channel Compression.

Wei Liu, Xing Deng, Haijian Shao, Yingtao Jiang

CoRR, January, 2026

Enhancing Imbalanced Electrocardiogram Classification: A Novel Approach Integrating Data Augmentation through Wavelet Transform and Interclass Fusion.

Haijian Shao, Wei Liu, Xing Deng, Daze Lu

CoRR, January, 2026

GAS: An adaptive pruning strategy based on output feature map gradients, activations, and weight sparsity.

Sixun Yan, Haijian Shao, Xing Deng, Yingtao Jiang, Ke Cheng, Ming Zhang, Fei Wang

Knowl. Based Syst., 2026

Recent advances in brain tumor segmentation: A review of self-supervised learning, federated learning, and graph neural networks.

Qiqi Wu, Xing Deng, Haijian Shao, Yingtao Jiang

Eng. Appl. Artif. Intell., 2026

2025

One-Shot Structured Pruning of Quantum Neural Networks via <i>q</i>-Group Engineering and Quantum Geometric Metrics.

Haijian Shao, Wei Liu, Xing Deng, Yingtao Jiang

CoRR, December, 2025

LiePrune: Lie Group and Quantum Geometric Dual Representation for One-Shot Structured Pruning of Quantum Neural Networks.

Haijian Shao, Bowen Yang, Wei Liu, Xing Deng, Yingtao Jiang

CoRR, December, 2025

Quantum-Inspired Spectral Geometry for Neural Operator Equivalence and Structured Pruning.

Haijian Shao, Wei Liu, Xing Deng

CoRR, December, 2025

ImpRes: implicit residual diffusion models for image super-resolution.

Shiyun Zhang, Xing Deng, Haijian Shao, Yingtao Jiang

Vis. Comput., June, 2025

PIDSNeRF: pose interpolation depth supervision neural radiance fields for view synthesis from challenging input.

Jianxin Wang, Haijian Shao, Xing Deng, Yingtao Jiang

Multim. Tools Appl., June, 2025

Robust novel view synthesis from multi-view feature stereo matching priors.

Jianxin Wang, Haijian Shao, Xing Deng, Shuheng Lian

Multim. Syst., April, 2025

Adaptive convolutional network pruning through pixel-level cross-correlation and channel independence for enhanced model compression.

Guangyao Li, Haijian Shao, Xing Deng, Yingtao Jiang

Eng. Appl. Artif. Intell., 2025

Harnessing Trend Theory to Enhance Distributed Proximal Point Algorithm Approaches for Multi-Area Economic Dispatch Optimization.

Yaming Ren, Xing Deng

Comput. Mater. Continua, 2025

Integrating frequency limitation and feature refinement for robust 3D Gaussian segmentation.

Xinyu Hu, Haijian Shao, Xing Deng, Yingtao Jiang, Fei Wang

Comput. Electr. Eng., 2025

2024

Linearity Range Extension of Magnetostrictive Current Sensors Through Magnetic Circuit Optimization.

Shaoyi Xu, Xing Deng, Panfeng Zheng, Dingfeng Yu, Fangfang Xing, Wei Fan

IEEE Trans. Instrum. Meas., 2024

Hierarchical decomposition-based underwater image enhancement network with auxiliary gradient guidance.

Jing Xie, Xing Deng, Haijian Shao, Yingtao Jiang

J. Electronic Imaging, 2024

Efficient filter pruning: Reducing model complexity through redundancy graph decomposition.

Jiang Li, Haijian Shao, Xing Deng, Yingtao Jiang

Neurocomputing, 2024

An Investigation of Frequency-Domain Pruning Algorithms for Accelerating Human Activity Recognition Tasks Based on Sensor Data.

Jian Su, Haijian Shao, Xing Deng, Yingtao Jiang

Comput. Mater. Continua, 2024

Research on emotional recognition methods based on electrocardiogram signal.

Qiuduo Zhao, Xing Deng, Zhao Liu, Saifei Yang, Mengke Liang, Sheng Wang

Proceedings of the 30th International Conference on Mechatronics and Machine Vision in Practice, 2024

VulCoBERT: A CodeBERT-Based System for Source Code Vulnerability Detection.

Yuying Xia, Haijian Shao, Xing Deng

Proceedings of the 2024 International Conference on Generative Artificial Intelligence and Information Security, 2024

Advanced Open-Set Fault Diagnosis in Power Grids via Text-Image Matching.

Yang Jiang, Xing Deng, Hang Shi, Yanwei Miao, Jinan Chen, Zexi Zhang

Proceedings of the 3rd International Conference on Artificial Intelligence, 2024

2023

An Unsupervised End-to-End Recursive Cascaded Parallel Network for Image Registration.

Longjian Wang, Haijian Shao, Xing Deng

Neural Process. Lett., December, 2023

Multi-scale feature fusion for histopathological image categorisation in breast cancer.

Yingping Wang, Xing Deng, Haijian Shao, Yingtao Jiang

Comput. methods Biomech. Biomed. Eng. Imaging Vis., November, 2023

A graphical approach for filter pruning by exploring the similarity relation between feature maps.

Jiang Li, Haijian Shao, Shengjie Zhai, Yingtao Jiang, Xing Deng

Pattern Recognit. Lett., February, 2023

MNIST Handwritten Digit Classification Based on Convolutional Neural Network with Hyperparameter Optimization.

Haijian Shao, Edwin Ma, Ming Zhu, Xing Deng, Shengjie Zhai

Intell. Autom. Soft Comput., 2023

Fragment and Integrate Network (FIN): A Novel Spatial-Temporal Modeling Based on Long Sequential Behavior for Online Food Ordering Click-Through Rate Prediction.

Jun Li, Jingjian Wang, Hongwei Wang, Xing Deng, Jielong Chen, Bing Cao, Zekun Wang, Guanjie Xu, Ge Zhang, Feng Shi, Hualei Liu

CoRR, 2023

2022

CNN-Based Hidden-Layer Topological Structure Design and Optimization Methods for Image Classification.

Jian Liu, Haijian Shao, Yingtao Jiang, Xing Deng

Neural Process. Lett., 2022

Computational Investigation on Integrated Thermal Management System for Electric Vehicle.

Chen Zhao, Yucheng Li, Xing Deng, Nuan Song, Tao Wang, Qingpeng Deng, Zonghua Li

Proceedings of the ICCMS 2022: The 14th International Conference on Computer Modeling and Simulation, Chongqing, China, June 24, 2022

2020

A multi-scale three-dimensional face recognition approach with sparse representation-based classifier and fusion of local covariance descriptors.

Xing Deng, Feipeng Da, Haijian Shao, Yingtao Jiang

Comput. Electr. Eng., 2020

2017

Adaptive feature selection based on reconstruction residual and accurately located landmarks for expression-robust 3D face recognition.

Xing Deng, Feipeng Da, Haijian Shao

Signal Image Video Process., 2017

Expression-robust 3D face recognition based on feature-level fusion and feature-region fusion.

Xing Deng, Feipeng Da, Haijian Shao

Multim. Tools Appl., 2017

Efficient 3D face recognition using local covariance descriptor and Riemannian kernel sparse coding.

Xing Deng, Feipeng Da, Haijian Shao

Comput. Electr. Eng., 2017

2015

A 3D face recognition method using region-based extended local binary pattern.

Shiwen Lv, Feipeng Da, Xing Deng

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

An Automatic Landmark Localization Method for 2D and 3D Face.

Junquan Liu, Feipeng Da, Xing Deng, Yi Yu, Pu Zhang

Proceedings of the Image and Graphics - 8th International Conference, 2015

2011

DEM generation of typical mountain area based on InSAR technology.

Xiaojun Rao, Fang Miao, Rui Liu, Xing Deng

Proceedings of the IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services, 2011