Gradient Local Binary Patterns for human detection. - Ning Jiang 002; Jiu Xu; Wenxin Yu 001; Satoshi Goto (ISCAS, 2013)

Multi-scale bidirectional local template patterns for real-time human detection. - Jiu Xu; Ning Jiang 002; Xinwei Xue; Heming Sun; Wenxin Yu 001; Satoshi Goto (MMSP, 2013)

Human Detection Method Based on Non-Redundant Gradient Semantic Local Binary Patterns. - Jiu Xu; Ning Jiang 002; Wenxin Yu 001; Heming Sun; Satoshi Goto (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2015)

Text to Image Synthesis Based on Multiple Discrimination. - Zhiqiang Zhang; Yunye Zhang; Wenxin Yu 001; Jingwei Lu; Li Nie; Gang He 001; Ning Jiang 002; Gang He 002; Yibo Fan; Zhuo Yang (ICANN (3), 2019)

Cscore: A Novel No-Reference Evaluation Metric for Generated Images. - Yunye Zhang; Zhiqiang Zhang; Wenxin Yu 001; Ning Jiang 002 (ICCPR, 2019)

Text to Image Synthesis Using Two-Stage Generation and Two-Stage Discrimination. - Zhiqiang Zhang; Yunye Zhang; Wenxin Yu 001; Gang He 001; Ning Jiang 002; Gang He 002; Yibo Fan; Zhuo Yang (KSEM (2), 2019)

Coarse-to-Fine Attention Network via Opinion Approximate Representation for Aspect-Level Sentiment Classification. - Wei Chen 062; Wenxin Yu 001; Gang He 002; Ning Jiang 002; Gang He 001 (ICONIP (1), 2020)

Search-and-Train: Two-Stage Model Compression and Acceleration. - Ning Jiang 002; Jialiang Tang; Zhiqiang Zhang; Wenxin Yu 001; Xin Deng; Jinjia Zhou (ICONIP (5), 2020)

LPI-Net: Lightweight Inpainting Network with Pyramidal Hierarchy. - Siyuan Li 004; Lu Lu; Kepeng Xu; Wenxin Yu 001; Ning Jiang 002; Zhuo Yang (ICONIP (4), 2020)

Customizable GAN: Customizable Image Synthesis Based on Adversarial Learning. - Zhiqiang Zhang; Wenxin Yu 001; Jinjia Zhou; Xuewen Zhang; Jialiang Tang; Siyuan Li 004; Ning Jiang 002; Gang He 001; Gang He 002; Zhuo Yang (ICONIP (4), 2020)

No-Reference Quality Assessment Based on Spatial Statistic for Generated Images. - Yunye Zhang; Xuewen Zhang; Zhiqiang Zhang; Wenxin Yu 001; Ning Jiang 002; Gang He 002 (ICONIP (4), 2020)

Deep Feature Compatibility for Generated Images Quality Assessment. - Xuewen Zhang; Yunye Zhang; Zhiqiang Zhang; Wenxin Yu 001; Ning Jiang 002; Gang He 001 (ICONIP (4), 2020)

Two-Stage Model Compression and Acceleration: Optimal Student Network for Better Performance. - Jialiang Tang; Ning Jiang 002; Wenxin Yu 001; Jinjia Zhou; Liuwei Mai (IEEE Access, 2020)

Customizable GAN: A Method for Image Synthesis of Human Controllable. - Zhiqiang Zhang; Wenxin Yu 001; Jinjia Zhou; Xuewen Zhang; Ning Jiang 002; Gang He 002; Zhuo Yang (IEEE Access, 2020)

A Progressive Image Inpainting Algorithm with a Mask Auto-update Branch. - Liang Nie; Wenxin Yu 001; Xuewen Zhang; Siyuan Li 004; Ning Jiang 002; Zhiqiang Zhang (ICANN (2), 2021)

Drawgan: Text to Image Synthesis with Drawing Generative Adversarial Networks. - Zhiqiang Zhang; Jinjia Zhou; Wenxin Yu 001; Ning Jiang 002 (ICASSP, 2021)

Gradient Local Binary Pattern For Convolutional Neural Networks. - Jialiang Tang; Ning Jiang 002; Wenxin Yu 001 (ICIP, 2021)

Text To Image Synthesis With Erudite Generative Adversarial Networks. - Zhiqiang Zhang; Wenxin Yu 001; Ning Jiang 002; Jinjia Zhou (ICIP, 2021)

Using a Two-Stage GAN to Learn Image Degradation for Image Super-Resolution. - Jiarui Cheng; Ning Jiang 002; Jialiang Tang; Xin Deng; Wenxin Yu 001; Peng Zhang (ICONIP (5), 2021)

Improving Shallow Neural Networks via Local and Global Normalization. - Ning Jiang 002; Jialiang Tang; Xiaoyan Yang; Wenxin Yu 001; Peng Zhang (ICONIP (1), 2021)

Attention-Based 3D ResNet for Detection of Alzheimer's Disease Process. - Mingjin Liu; Jialiang Tang; Wenxin Yu 001; Ning Jiang 002 (ICONIP (1), 2021)

Progressive Inpainting Strategy with Partial Convolutions Generative Networks (PPCGN). - Liang Nie; Wenxin Yu 001; Siyuan Li 004; Zhiqiang Zhang; Ning Jiang 002; Xuewen Zhang; Jun Gong (ICONIP (6), 2021)

Data-Free Knowledge Distillation with Positive-Unlabeled Learning. - Jialiang Tang; Xiaoyan Yang; Xin Cheng 004; Ning Jiang 002; Wenxin Yu 001; Peng Zhang (ICONIP (2), 2021)

Consistent Knowledge Distillation Based on Siamese Networks. - Jialiang Tang; Xiaoyan Yang; Xin Cheng 004; Ning Jiang 002; Wenxin Yu 001; Peng Zhang (ICONIP (5), 2021)

Triplet Mapping for Continuously Knowledge Distillation. - Xiaoyan Yang; Jialiang Tang; Ning Jiang 002; Wenxin Yu 001; Peng Zhang (ICONIP (1), 2021)

QS-Hyper: A Quality-Sensitive Hyper Network for the No-Reference Image Quality Assessment. - Xuewen Zhang; Yunye Zhang; Wenxin Yu 001; Liang Nie; Ning Jiang 002; Jun Gong (ICONIP (4), 2021)

Triplet Knowledge Distillation Networks for Model Compression. - Jialiang Tang; Ning Jiang 002; Wenxin Yu 001; Wenqin Wu (IJCNN, 2021)

Text to Image Synthesis based on Multi - Perspective Fusion. - Zhiqiang Zhang; Chen Fu; Jinjia Zhou; Wenxin Yu 001; Ning Jiang 002 (IJCNN, 2021)

Gradient Local Binary Pattern Layer to Initialize the Convolutional Neural Networks. - Ning Jiang 002; Jialiang Tang; Wenxin Yu 001; Jinjia Zhou; Liuwei Mai (ISCAS, 2021)

Data-Free Network Pruning for Model Compression. - Jialiang Tang; Mingjin Liu; Ning Jiang 002; Huan Cai; Wenxin Yu 001; Jinjia Zhou (ISCAS, 2021)

Spatial and Channel Dimensions Attention Feature Transfer for Better Convolutional Neural Networks. - Jialiang Tang; Mingjin Liu; Ning Jiang 002; Wenxin Yu 001; Changzheng Yang (ISCAS, 2021)

Knowledge Distillation Based on Positive-Unlabeled Classification and Attention Mechanism. - Jialiang Tang; Mingjin Liu; Ning Jiang 002; Wenxin Yu 001; Changzheng Yang; Jinjia Zhou (ISCAS, 2021)

SPS: A Subjective Perception Score for Text-to-Image Synthesis. - Xuewen Zhang; Wenxin Yu 001; Ning Jiang 002; Yunye Zhang; Zhiqiang Zhang (ISCAS, 2021)

Local Feature Normalization. - Ning Jiang 002; Jialiang Tang; Wenxin Yu 001; Jinjia Zhou (KSEM, 2021)

Stimulates Potential for Knowledge Distillation. - Haifeng Qing; Jialiang Tang; Xiaoyan Yang; Xinlei Huang; Honglin Zhu; Ning Jiang 002 (ICANN (4), 2022)

Text-Guided Image Manipulation Based on Sentence-Aware and Word-Aware Network. - Zhiqiang Zhang; Chen Fu; Man M. Ho; Jinjia Zhou; Ning Jiang 002; Wenxin Yu 001 (ICME, 2022)

Cut-controller: An Effective Framework for Chinese Text Classification. - Jiawei Sun; Ning Jiang 002; Jialiang Tang (ICMSSP, 2022)

Optimizing Knowledge Distillation via Shallow Texture Knowledge Transfer. - Xinlei Huang; Jialiang Tang; Haifeng Qing; Honglin Zhu; Ning Jiang 002; Wenqing Wu; Peng Zhang (ICONIP (4), 2022)

Cross-Layer Fusion for Feature Distillation. - Honglin Zhu; Ning Jiang 002; Jialiang Tang; Xinlei Huang; Haifeng Qing; Wenqing Wu; Peng Zhang (ICONIP (4), 2022)

A Point Matching Strategy of 3D Loss Function for Single RGB Images Deep Mesh Reconstruction. - Xin Deng; Ning Jiang 002; Shiyu Chen; Jiarui Cheng; Yufei Gao 002; Wenxin Yu 001 (ISCAS, 2022)

Improve 3D Feature Extraction and Fusion for Stage Diagnosis of Alzheimer's Disease. - Mingjin Liu; Wenxin Yu 001; Jialiang Tang; Ning Jiang 002; Kang Xu 002; Chang Liu (ISCAS, 2022)

Text-to-image synthesis: Starting composite from the foreground content. - Zhiqiang Zhang; Jinjia Zhou; Wenxin Yu 001; Ning Jiang 002 (Inf. Sci., 2022)

Dynamic Feature Distillation. - Xinlei Huang; Ning Jiang 002; Jialiang Tang; Wenqing Wu (ICONIP (13), 2023)

Feature Reconstruction Distillation with Self-attention. - Cheng Lin; Ning Jiang 002; Jialiang Tang; Xinlei Huang (ICONIP (12), 2023)

Dy-KD: Dynamic Knowledge Distillation for Reduced Easy Examples. - Cheng Lin; Ning Jiang 002; Jialiang Tang; Xinlei Huang; Wenqing Wu (ICONIP (12), 2023)

Joint Regularization Knowledge Distillation. - Haifeng Qing; Ning Jiang 002; Jialiang Tang; Xinlei Huang; Wengqing Wu (ICONIP (12), 2023)

Correlation Guided Multi-teacher Knowledge Distillation. - Luyao Shi; Ning Jiang 002; Jialiang Tang; Xinlei Huang (ICONIP (4), 2023)

Knowledge Distillation via Information Matching. - Honglin Zhu; Ning Jiang 002; Jialiang Tang; Xinlei Huang (ICONIP (4), 2023)

Positive-Unlabeled Learning for Knowledge Distillation. - Ning Jiang 002; Jialiang Tang; Wenxin Yu 001 (Neural Process. Lett., 2023)

ClearKD: Clear Knowledge Distillation for Medical Image Classification. - Xinlei Huang; Ning Jiang 002; Jialiang Tang (IJCNN, 2024)

Decoupled Multi-teacher Knowledge Distillation based on Entropy. - Xin Cheng 004; Jialiang Tang; Zhiqiang Zhang; Wenxin Yu 001; Ning Jiang 002; Jinjia Zhou (ISCAS, 2024)

Amalgamating Knowledge for Comprehensive Classification with Uncertainty Suppression. - Lebin Li; Ning Jiang 002; Jialiang Tang; Xinlei Huang (ISCAS, 2024)

Adaptive Informative Semantic Knowledge Transfer for Knowledge Distillation. - Ruijian Xu; Ning Jiang 002; Jialiang Tang; Xinlei Huang (ISCAS, 2024)

Virtual Student Distribution Knowledge Distillation for Long-Tailed Recognition. - Haodong Liu; Xinlei Huang; Jialiang Tang; Ning Jiang 002 (PRCV (4), 2024)

Learning Student Network Under Universal Label Noise. - Jialiang Tang; Ning Jiang 002; Hongyuan Zhu; Joey Tianyi Zhou; Chen Gong 002 (IEEE Trans. Image Process., 2024)

Learn from Balance: Rectifying Knowledge Transfer for Long-Tailed Scenarios. - Xinlei Huang; Jialiang Tang; Xubin Zheng; Jinjia Zhou; Wenxin Yu 001; Ning Jiang 002 (ICASSP, 2025)