江宁｜西南科技大学｜学者主页

2026

SFF-Net: A Spatial-Frequency Feature Fusion Network for Infrared and Visible Image Fusion

Qiang Lin, Wanli Dong, Xiaoming Gao, Ning Jiang

DOI

2026

Texture-Refined Probabilistic Prototype Learning for Semi-Supervised Medical Image Segmentation

Liangjie Wang, Ning Jiang, Xiaoqi Kuang, Wanli Dong

DOI

2025

Uncertainty-Aware Multi-Branch Distillation for Label-Scarce Medical Image Segmentation

Liangjie Wang, Ning Jiang, Changzheng Yang, Wenxin Yu

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

DOI

2025

Multi-Layer Balanced Knowledge Distillation with Adaptive Temperature for Long-Tailed Recognition

Haodong Liu, Ning Jiang, Qianxi Wang, Ping Xiang

International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)

DOI

2025

Multi-Scale Adaptive Distillation

Qianxi Wang, Ning Jiang, Haodong Liu, Ping Xiang

International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)

DOI

2025

Region Contrast Distillation for Medical Image Segmentation

Jiahao Pu, Wanli Dong, Jiachuan Fan, Ning Jiang

DOI

2025

Learn from Balance: Rectifying Knowledge Transfer for Long-Tailed Scenarios

Xinlei Huang, Jialiang Tang, Xubin Zheng, Jinjia Zhou, Wenxin Yu, Ning Jiang

IEEE International Conference on Acoustics Speech and Signal Processing

DOI

2025

Dynamic Inter-Class Correlation in Knowledge Distillation for Long-Tailed Scenarios

Ping Xiang, Ning Jiang, Jialiang Tang, Haodong Liu, Xinlei Huang, Xin Cheng, Yin Long, Jinjia Zhou

Communications in computer and information science

DOI

2025

CAAM-GAN: Text to Image Generation with Conditioning Augmentation and Attention Mechanism

Hongjie Cai, Jun Shang, Wenxin Yu, Lu Che, Zhiqiang Zhang, Ning Jiang, Kang Xu, Jun Gong, Peng Chen

Communications in computer and information science

DOI

2024

Virtual Student Distribution Knowledge Distillation for Long-Tailed Recognition

Haodong Liu, Xinlei Huang, Jialiang Tang, Ning Jiang

Lecture notes in computer science

DOI

2024

ClearKD: Clear Knowledge Distillation for Medical Image Classification

Xinlei Huang, Ning Jiang, Jialiang Tang

DOI

2024

Decoupled Multi-teacher Knowledge Distillation based on Entropy

Xin Cheng, Jialiang Tang, Zhiqiang Zhang, Wenxin Yu, Ning Jiang, Jinjia Zhou

IEEE International Symposium on Circuits and Systems proceedings

DOI

2024

Adaptive Informative Semantic Knowledge Transfer for Knowledge Distillation

Ruijian Xu, Ning Jiang, Jialiang Tang, Xinlei Huang

IEEE International Symposium on Circuits and Systems proceedings

DOI

2024

Amalgamating Knowledge for Comprehensive Classification with Uncertainty Suppression

Lebin Li, Ning Jiang, Jialiang Tang, Xinlei Huang

IEEE International Symposium on Circuits and Systems proceedings

DOI

2024

Learning Student Network Under Universal Label Noise

Jialiang Tang, Ning Jiang, Hongyuan Zhu, Joey Tianyi Zhou, Chen Gong

IEEE Transactions on Image Processing

DOI

2023

Dynamic Feature Distillation

Xinlei Huang, Ning Jiang, Jialiang Tang, Wenqing Wu

Communications in computer and information science

DOI

2023

Dy-KD: Dynamic Knowledge Distillation for Reduced Easy Examples

Cheng Lin, Ning Jiang, Jialiang Tang, Xinlei Huang, Wenqing Wu

Communications in computer and information science

DOI

2023

Feature Reconstruction Distillation with Self-attention

Cheng Lin, Ning Jiang, Jialiang Tang, Xinlei Huang

Communications in computer and information science

DOI

2023

Joint Regularization Knowledge Distillation

Haifeng Qing, Ning Jiang, Jialiang Tang, Xinlei Huang, Wengqing Wu

Communications in computer and information science

DOI

2023

Correlation Guided Multi-teacher Knowledge Distillation

Luyao Shi, Ning Jiang, Jialiang Tang, Xinlei Huang

Lecture notes in computer science

DOI

2023

Knowledge Distillation via Information Matching

Honglin Zhu, Ning Jiang, Jialiang Tang, Xinlei Huang

Lecture notes in computer science

DOI

2023

Knowledge distillation based on multi-layer fusion features

Shengyuan Tan, Rongzuo Guo, Jialiang Tang, Ning Jiang, Junying Zou

PLoS ONE

DOI

2023

Cross-Layer Fusion for Feature Distillation

Honglin Zhu, Ning Jiang, Jialiang Tang, Xinlei Huang, Haifeng Qing, Wenqing Wu, Peng Zhang

Communications in computer and information science

DOI

2023

Optimizing Knowledge Distillation via Shallow Texture Knowledge Transfer

Xinlei Huang, Jialiang Tang, Haifeng Qing, Honglin Zhu, Ning Jiang, Wenqing Wu, Peng Zhang

Communications in computer and information science

DOI

2022

Positive-Unlabeled Learning for Knowledge Distillation

Ning Jiang, Jialiang Tang, Wenxin Yu

Neural Processing Letters

DOI

2022

Text-Guided Image Manipulation Based on Sentence-Aware and Word-Aware Network

Zhiqiang Zhang, Chen Ming Fu, Man M. Ho, Jinjia Zhou, Ning Jiang, Wenxin Yu

IEEE International Conference on Multimedia and Expo (ICME)

DOI

2022

Text-to-image synthesis: Starting composite from the foreground content

Zhiqiang Zhang, Jinjia Zhou, Wenxin Yu, Ning Jiang

Information Sciences

DOI

2022

A Point Matching Strategy of 3D Loss Function for Single RGB Images Deep Mesh Reconstruction

Xin Deng, Ning Jiang, Shiyu Chen, Jiarui Cheng, Yufei Gao, Wenxin Yu

IEEE International Symposium on Circuits and Systems proceedings

DOI

2022

Stimulates Potential for Knowledge Distillation

Haifeng Qing, Jialiang Tang, Xiaoyan Yang, Xinlei Huang, Honglin Zhu, Ning Jiang

Lecture notes in computer science

DOI

2021

Attention-Based 3D ResNet for Detection of Alzheimer’s Disease Process

Mingjin Liu, Jialiang Tang, Wenxin Yu, Ning Jiang

Lecture notes in computer science

DOI

2021

Text To Image Synthesis With Erudite Generative Adversarial Networks

Zhiqiang Zhang, Wenxin Yu, Ning Jiang, Jinjia Zhou

Proceedings - International Conference on Image Processing

DOI

2021

Gradient Local Binary Pattern For Convolutional Neural Networks

Jialiang Tang, Ning Jiang, Wenxin Yu

Proceedings - International Conference on Image Processing

DOI

2021

Text to Image Synthesis based on Multi - Perspective Fusion

Zhiqiang Zhang, Chen Ming Fu, Jinjia Zhou, Wenxin Yu, Ning Jiang

DOI

2021

Triplet Knowledge Distillation Networks for Model Compression

Jialiang Tang, Ning Jiang, Wenxin Yu, Wenqin Wu

DOI

2021

Data-Free Network Pruning for Model Compression

Jialiang Tang, Mingjin Liu, Ning Jiang, Huan Jie Cai, Wenxin Yu, Jinjia Zhou

IEEE International Symposium on Circuits and Systems proceedings

DOI

2021

SPS: A Subjective Perception Score for Text-to-Image Synthesis

Xuewen Zhang, Wenxin Yu, Ning Jiang, Yunye Zhang, Zhiqiang Zhang

IEEE International Symposium on Circuits and Systems proceedings

DOI

2021

Spatial and Channel Dimensions Attention Feature Transfer for Better Convolutional Neural Networks

Jialiang Tang, Mingjin Liu, Ning Jiang, Wenxin Yu, Changzheng Yang

IEEE International Symposium on Circuits and Systems proceedings

DOI

2021

Knowledge Distillation Based on Positive-Unlabeled Classification and Attention Mechanism

Jialiang Tang, Mingjin Liu, Ning Jiang, Wenxin Yu, Changzheng Yang, Jinjia Zhou

IEEE International Symposium on Circuits and Systems proceedings

DOI

2021

Gradient Local Binary Pattern Layer to Initialize the Convolutional Neural Networks

Ning Jiang, Jialiang Tang, Wenxin Yu, Jinjia Zhou, Liuwei Mai

IEEE International Symposium on Circuits and Systems proceedings

DOI

2021

QS-Hyper: A Quality-Sensitive Hyper Network for the No-Reference Image Quality Assessment

Xuewen Zhang, Yunye Zhang, Wenxin Yu, Liang Nie, Ning Jiang, Jun Gong

Lecture notes in computer science

DOI

2021

Using a Two-Stage GAN to Learn Image Degradation for Image Super-Resolution

Jiarui Cheng, Ning Jiang, Jialiang Tang, Xin Deng, Wenxin Yu, Peng Zhang

Communications in computer and information science

DOI

2021

Data-Free Knowledge Distillation with Positive-Unlabeled Learning

Jialiang Tang, Xiaoyan Yang, Xin Cheng, Ning Jiang, Wenxin Yu, Peng Zhang

Lecture notes in computer science

DOI

2021

Progressive Inpainting Strategy with Partial Convolutions Generative Networks (PPCGN)

Liang Nie, Wenxin Yu, Siyuan Li, Zhiqiang Zhang, Ning Jiang, Xuewen Zhang, Jun Gong

Communications in computer and information science

DOI

2021

Local Feature Normalization

Ning Jiang, Jialiang Tang, Wenxin Yu, Jinjia Zhou

Lecture notes in computer science

DOI

2021

A Progressive Image Inpainting Algorithm with a Mask Auto-update Branch

Liang Nie, Wenxin Yu, Xuewen Zhang, Siyuan Li, Ning Jiang, Zhiqiang Zhang

Lecture notes in computer science

DOI

2021

Improving Shallow Neural Networks via Local and Global Normalization

Ning Jiang, Jialiang Tang, Xiaoyan Yang, Wenxin Yu, Peng Zhang

Lecture notes in computer science

DOI

2021

Triplet Mapping for Continuously Knowledge Distillation

Xiaoyan Yang, Jialiang Tang, Ning Jiang, Wenxin Yu, Peng Zhang

Lecture notes in computer science

DOI

2021

Edge Guided Loss in Image Inpainting

Siyuan Li, Lu Lu, Kepeng Xu, Wenxin Yu, Ning Jiang, Gang He, Kang Xu, Chang Liu

Lecture notes on data engineering and communications technologies

DOI

2021

Consistent Knowledge Distillation Based on Siamese Networks

Jialiang Tang, Xiaoyan Yang, Xin Cheng, Ning Jiang, Wenxin Yu, Peng Zhang

Communications in computer and information science

DOI

2020

LPI-Net: Lightweight Inpainting Network with Pyramidal Hierarchy

Siyuan Li, Lu Lu, Kepeng Xu, Wenxin Yu, Ning Jiang, Zhuo Yang

Communications in computer and information science

DOI

2020

Deep Feature Compatibility for Generated Images Quality Assessment

Xuewen Zhang, Yunye Zhang, Zhiqiang Zhang, Wenxin Yu, Ning Jiang, Gang He

Communications in computer and information science

DOI

2020

No-Reference Quality Assessment Based on Spatial Statistic for Generated Images

Yunye Zhang, Xuewen Zhang, Zhiqiang Zhang, Wenxin Yu, Ning Jiang, Gang He

Communications in computer and information science

DOI

2020

Customizable GAN: A Method for Image Synthesis of Human Controllable

Zhiqiang Zhang, Wenxin Yu, Jinjia Zhou, Xuewen Zhang, Ning Jiang, Gang He, Zhuo Yang

IEEE Access

DOI

2020

Customizable GAN: Customizable Image Synthesis Based on Adversarial Learning

Zhiqiang Zhang, Wenxin Yu, Jinjia Zhou, Xuewen Zhang, Jialiang Tang, Siyuan Li, Ning Jiang, Gang He, Gang He, Zhuo Yang

Communications in computer and information science

DOI

2020

Search-and-Train: Two-Stage Model Compression and Acceleration

Ning Jiang, Jialiang Tang, Zhiqiang Zhang, Wenxin Yu, Xin Deng, Jinjia Zhou

Communications in computer and information science

DOI

2020

Two-Stage Model Compression and Acceleration: Optimal Student Network for Better Performance

Jialiang Tang, Ning Jiang, Wenxin Yu, Jinjia Zhou, Liuwei Mai

IEEE Access

DOI

2019

A Method of Pointer Instrument Reading for Automatic Inspection

Ning Jiang, Jialiang Tang, Zhiqiang Zhang, Wenxin Yu, Bin Hu, Gang He, Zhuo Yang

Advances in intelligent systems and computing

DOI

2019

Cscore

Yunye Zhang, Zhiqiang Zhang, Wenxin Yu, Ning Jiang

International Conference on Computing and Pattern Recognition (ICCPR)

DOI

2019

Text to Image Synthesis Based on Multiple Discrimination

Zhiqiang Zhang, Yunye Zhang, Wenxin Yu, Jingwei Lu, Li Nie, Gang He, Ning Jiang, Gang He, Yibo Fan, Zhuo Yang

Lecture notes in computer science

DOI

2019

Text to Image Synthesis Using Two-Stage Generation and Two-Stage Discrimination

Zhiqiang Zhang, Yunye Zhang, Wenxin Yu, Gang He, Ning Jiang, Gang He, Yibo Fan, Zhuo Yang

Lecture notes in computer science

DOI

精选作品

期刊论文

SFF-Net: A Spatial-Frequency Feature Fusion Network for Infrared and Visible Image Fusion

Texture-Refined Probabilistic Prototype Learning for Semi-Supervised Medical Image Segmentation

Uncertainty-Aware Multi-Branch Distillation for Label-Scarce Medical Image Segmentation

Multi-Layer Balanced Knowledge Distillation with Adaptive Temperature for Long-Tailed Recognition

Multi-Scale Adaptive Distillation

Region Contrast Distillation for Medical Image Segmentation

Learn from Balance: Rectifying Knowledge Transfer for Long-Tailed Scenarios

Dynamic Inter-Class Correlation in Knowledge Distillation for Long-Tailed Scenarios

CAAM-GAN: Text to Image Generation with Conditioning Augmentation and Attention Mechanism

Virtual Student Distribution Knowledge Distillation for Long-Tailed Recognition

ClearKD: Clear Knowledge Distillation for Medical Image Classification

Decoupled Multi-teacher Knowledge Distillation based on Entropy

Adaptive Informative Semantic Knowledge Transfer for Knowledge Distillation

Amalgamating Knowledge for Comprehensive Classification with Uncertainty Suppression

Learning Student Network Under Universal Label Noise

Dynamic Feature Distillation

Dy-KD: Dynamic Knowledge Distillation for Reduced Easy Examples

Feature Reconstruction Distillation with Self-attention

Joint Regularization Knowledge Distillation

Correlation Guided Multi-teacher Knowledge Distillation

Knowledge Distillation via Information Matching

Knowledge distillation based on multi-layer fusion features

Cross-Layer Fusion for Feature Distillation

Optimizing Knowledge Distillation via Shallow Texture Knowledge Transfer

Positive-Unlabeled Learning for Knowledge Distillation

Text-Guided Image Manipulation Based on Sentence-Aware and Word-Aware Network

Text-to-image synthesis: Starting composite from the foreground content

A Point Matching Strategy of 3D Loss Function for Single RGB Images Deep Mesh Reconstruction

Stimulates Potential for Knowledge Distillation

Attention-Based 3D ResNet for Detection of Alzheimer’s Disease Process

Text To Image Synthesis With Erudite Generative Adversarial Networks

Gradient Local Binary Pattern For Convolutional Neural Networks

Text to Image Synthesis based on Multi - Perspective Fusion

Triplet Knowledge Distillation Networks for Model Compression

Data-Free Network Pruning for Model Compression

SPS: A Subjective Perception Score for Text-to-Image Synthesis

Spatial and Channel Dimensions Attention Feature Transfer for Better Convolutional Neural Networks

Knowledge Distillation Based on Positive-Unlabeled Classification and Attention Mechanism

Gradient Local Binary Pattern Layer to Initialize the Convolutional Neural Networks

QS-Hyper: A Quality-Sensitive Hyper Network for the No-Reference Image Quality Assessment

Using a Two-Stage GAN to Learn Image Degradation for Image Super-Resolution

Data-Free Knowledge Distillation with Positive-Unlabeled Learning

Progressive Inpainting Strategy with Partial Convolutions Generative Networks (PPCGN)

Local Feature Normalization

A Progressive Image Inpainting Algorithm with a Mask Auto-update Branch

Improving Shallow Neural Networks via Local and Global Normalization

Triplet Mapping for Continuously Knowledge Distillation

Edge Guided Loss in Image Inpainting

Consistent Knowledge Distillation Based on Siamese Networks

LPI-Net: Lightweight Inpainting Network with Pyramidal Hierarchy

Deep Feature Compatibility for Generated Images Quality Assessment

No-Reference Quality Assessment Based on Spatial Statistic for Generated Images

Customizable GAN: A Method for Image Synthesis of Human Controllable

Customizable GAN: Customizable Image Synthesis Based on Adversarial Learning

Search-and-Train: Two-Stage Model Compression and Acceleration

Two-Stage Model Compression and Acceleration: Optimal Student Network for Better Performance

A Method of Pointer Instrument Reading for Automatic Inspection

Cscore

Text to Image Synthesis Based on Multiple Discrimination

Text to Image Synthesis Using Two-Stage Generation and Two-Stage Discrimination

书籍章节

Text to Complicated Image Synthesis with Segmentation Information Guidance

研究方向