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)

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)

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)

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

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)

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

The Detection of Attentive Mental State Using a Mixed Neural Network Model. - Huan Cai; Jialiang Tang; Yihan Wu; Min Xia 005; Gang He 001; Yangsong Zhang (ISCAS, 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)

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)

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)

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)

Distribution Shift Matters for Knowledge Distillation with Webly Collected Images. - Jialiang Tang; Shuo Chen 003; Gang Niu 001; Masashi Sugiyama; Chen Gong 002 (ICCV, 2023)

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)

Open-World Semi-Supervised Learning under Compound Distribution Shifts. - Shijia Xu; Lin Zhao 003; Jialiang Tang; Guangyu Li; Chen Gong 002 (BMVC, 2024)

Direct Distillation Between Different Domains. - Jialiang Tang; Shuo Chen 003; Gang Niu 001; Hongyuan Zhu; Joey Tianyi Zhou; Chen Gong 002; Masashi Sugiyama (ECCV (80), 2024)

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)

A Real-Time Road Scene Semantic Segmentation Model Based on Spatial Context Learning. - Xiaomei Xiao; Jialiang Tang; Xiaoyan Lu; Zhengyong Feng; Yi Li (IEEE Access, 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)

Hybrid Data-Free Knowledge Distillation. - Jialiang Tang; Shuo Chen 003; Chen Gong 002 (AAAI, 2025)

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)

LLM-PS: Empowering Large Language Models for Time Series Forecasting with Temporal Patterns and Semantics. - Jialiang Tang; Shuo Chen 003; Chen Gong 002; Jing Zhang 037; Dacheng Tao (CoRR, 2025)