| 2025 | AAAI | Hybrid Data-Free Knowledge Distillation. | Jialiang Tang, Shuo Chen, Chen Gong |
| 2025 | ICASSP | Learn from Balance: Rectifying Knowledge Transfer for Long-Tailed Scenarios. | Xinlei Huang, Jialiang Tang, Xubin Zheng, Jinjia Zhou, Wenxin Yu, Ning Jiang |
| 2025 | ICDM | Empowering Large Language Models for Time Series Forecasting with Patterns and Semantics. | Jialiang Tang, Shuo Chen, Chen Gong, Jing Zhang, Dacheng Tao |
| 2024 | BMVC | Open-World Semi-Supervised Learning under Compound Distribution Shifts. | Shijia Xu, Lin Zhao, Jialiang Tang, Guangyu Li, Chen Gong |
| 2024 | ECCV | Direct Distillation Between Different Domains. | Jialiang Tang, Shuo Chen, Gang Niu, Hongyuan Zhu, Joey Tianyi Zhou, Chen Gong, Masashi Sugiyama |
| 2024 | IJCNN | ClearKD: Clear Knowledge Distillation for Medical Image Classification. | Xinlei Huang, Ning Jiang, Jialiang Tang |
| 2024 | ISCAS | Decoupled Multi-teacher Knowledge Distillation based on Entropy. | Xin Cheng, Jialiang Tang, Zhiqiang Zhang, Wenxin Yu, Ning Jiang, Jinjia Zhou |
| 2024 | ISCAS | Amalgamating Knowledge for Comprehensive Classification with Uncertainty Suppression. | Lebin Li, Ning Jiang, Jialiang Tang, Xinlei Huang |
| 2024 | ISCAS | Adaptive Informative Semantic Knowledge Transfer for Knowledge Distillation. | Ruijian Xu, Ning Jiang, Jialiang Tang, Xinlei Huang |
| 2023 | ICCV | Distribution Shift Matters for Knowledge Distillation with Webly Collected Images. | Jialiang Tang, Shuo Chen, Gang Niu, Masashi Sugiyama, Chen Gong |
| 2023 | ICONIP | Dynamic Feature Distillation. | Xinlei Huang, Ning Jiang, Jialiang Tang, Wenqing Wu |
| 2023 | ICONIP | Feature Reconstruction Distillation with Self-attention. | Cheng Lin, Ning Jiang, Jialiang Tang, Xinlei Huang |
| 2023 | ICONIP | Dy-KD: Dynamic Knowledge Distillation for Reduced Easy Examples. | Cheng Lin, Ning Jiang, Jialiang Tang, Xinlei Huang, Wenqing Wu |
| 2023 | ICONIP | Joint Regularization Knowledge Distillation. | Haifeng Qing, Ning Jiang, Jialiang Tang, Xinlei Huang, Wengqing Wu |
| 2023 | ICONIP | Correlation Guided Multi-teacher Knowledge Distillation. | Luyao Shi, Ning Jiang, Jialiang Tang, Xinlei Huang |
| 2023 | ICONIP | Knowledge Distillation via Information Matching. | Honglin Zhu, Ning Jiang, Jialiang Tang, Xinlei Huang |
| 2022 | ICANN | Stimulates Potential for Knowledge Distillation. | Haifeng Qing, Jialiang Tang, Xiaoyan Yang, Xinlei Huang, Honglin Zhu, Ning Jiang |
| 2022 | ICONIP | Optimizing Knowledge Distillation via Shallow Texture Knowledge Transfer. | Xinlei Huang, Jialiang Tang, Haifeng Qing, Honglin Zhu, Ning Jiang, Wenqing Wu, Peng Zhang |
| 2022 | ICONIP | Cross-Layer Fusion for Feature Distillation. | Honglin Zhu, Ning Jiang, Jialiang Tang, Xinlei Huang, Haifeng Qing, Wenqing Wu, Peng Zhang |
| 2022 | ISCAS | Improve 3D Feature Extraction and Fusion for Stage Diagnosis of Alzheimer's Disease. | Mingjin Liu, Wenxin Yu, Jialiang Tang, Ning Jiang, Kang Xu, Chang Liu |
| 2021 | ICIP | Gradient Local Binary Pattern For Convolutional Neural Networks. | Jialiang Tang, Ning Jiang, Wenxin Yu |
| 2021 | ICONIP | 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 |
| 2021 | ICONIP | Improving Shallow Neural Networks via Local and Global Normalization. | Ning Jiang, Jialiang Tang, Xiaoyan Yang, Wenxin Yu, Peng Zhang |
| 2021 | ICONIP | Attention-Based 3D ResNet for Detection of Alzheimer's Disease Process. | Mingjin Liu, Jialiang Tang, Wenxin Yu, Ning Jiang |
| 2021 | ICONIP | Data-Free Knowledge Distillation with Positive-Unlabeled Learning. | Jialiang Tang, Xiaoyan Yang, Xin Cheng, Ning Jiang, Wenxin Yu, Peng Zhang |
| 2021 | ICONIP | Consistent Knowledge Distillation Based on Siamese Networks. | Jialiang Tang, Xiaoyan Yang, Xin Cheng, Ning Jiang, Wenxin Yu, Peng Zhang |
| 2021 | ICONIP | Triplet Mapping for Continuously Knowledge Distillation. | Xiaoyan Yang, Jialiang Tang, Ning Jiang, Wenxin Yu, Peng Zhang |
| 2021 | IJCNN | Triplet Knowledge Distillation Networks for Model Compression. | Jialiang Tang, Ning Jiang, Wenxin Yu, Wenqin Wu |
| 2021 | ISCAS | The Detection of Attentive Mental State Using a Mixed Neural Network Model. | Huan Cai, Jialiang Tang, Yihan Wu, Min Xia, Gang He, Yangsong Zhang |
| 2021 | ISCAS | Gradient Local Binary Pattern Layer to Initialize the Convolutional Neural Networks. | Ning Jiang, Jialiang Tang, Wenxin Yu, Jinjia Zhou, Liuwei Mai |
| 2021 | ISCAS | Data-Free Network Pruning for Model Compression. | Jialiang Tang, Mingjin Liu, Ning Jiang, Huan Cai, Wenxin Yu, Jinjia Zhou |
| 2021 | ISCAS | Spatial and Channel Dimensions Attention Feature Transfer for Better Convolutional Neural Networks. | Jialiang Tang, Mingjin Liu, Ning Jiang, Wenxin Yu, Changzheng Yang |
| 2021 | ISCAS | Knowledge Distillation Based on Positive-Unlabeled Classification and Attention Mechanism. | Jialiang Tang, Mingjin Liu, Ning Jiang, Wenxin Yu, Changzheng Yang, Jinjia Zhou |
| 2021 | KSEM | Local Feature Normalization. | Ning Jiang, Jialiang Tang, Wenxin Yu, Jinjia Zhou |
| 2020 | ICONIP | Search-and-Train: Two-Stage Model Compression and Acceleration. | Ning Jiang, Jialiang Tang, Zhiqiang Zhang, Wenxin Yu, Xin Deng, Jinjia Zhou |
| 2020 | ICONIP | 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 |