Jialiang Tang

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 36

Top Topics

Knowledge Transfer

Image Degradation

Top Venues

Publications

Lebin Li, Ning Jiang, Jialiang Tang, Xinlei Huang
Amalgamating Knowledge for Comprehensive Classification with Uncertainty Suppression. ISCAS (2024)
Jialiang Tang, Ning Jiang, Hongyuan Zhu, Joey Tianyi Zhou, Chen Gong
Learning Student Network Under Universal Label Noise. IEEE Trans. Image Process. 33 (2024)
Jialiang Tang, Shuo Chen, Gang Niu, Hongyuan Zhu, Joey Tianyi Zhou, Chen Gong, Masashi Sugiyama
Direct Distillation between Different Domains. CoRR (2024)
Ruijian Xu, Ning Jiang, Jialiang Tang, Xinlei Huang
Adaptive Informative Semantic Knowledge Transfer for Knowledge Distillation. ISCAS (2024)
Xin Cheng, Jialiang Tang, Zhiqiang Zhang, Wenxin Yu, Ning Jiang, Jinjia Zhou
Decoupled Multi-teacher Knowledge Distillation based on Entropy. ISCAS (2024)
Ning Jiang, Jialiang Tang, Wenxin Yu
Positive-Unlabeled Learning for Knowledge Distillation. Neural Process. Lett. 55 (3) (2023)
Cheng Lin, Ning Jiang, Jialiang Tang, Xinlei Huang
Feature Reconstruction Distillation with Self-attention. ICONIP (12) (2023)
Honglin Zhu, Ning Jiang, Jialiang Tang, Xinlei Huang
Knowledge Distillation via Information Matching. ICONIP (4) (2023)
Jialiang Tang, Shuo Chen, Gang Niu, Masashi Sugiyama, Chen Gong
Distribution Shift Matters for Knowledge Distillation with Webly Collected Images. ICCV (2023)
Jialiang Tang, Shuo Chen, Gang Niu, Masashi Sugiyama, Chen Gong
Distribution Shift Matters for Knowledge Distillation with Webly Collected Images. CoRR (2023)
Haifeng Qing, Ning Jiang, Jialiang Tang, Xinlei Huang, Wengqing Wu
Joint Regularization Knowledge Distillation. ICONIP (12) (2023)
Cheng Lin, Ning Jiang, Jialiang Tang, Xinlei Huang, Wenqing Wu
Dy-KD: Dynamic Knowledge Distillation for Reduced Easy Examples. ICONIP (12) (2023)
Luyao Shi, Ning Jiang, Jialiang Tang, Xinlei Huang
Correlation Guided Multi-teacher Knowledge Distillation. ICONIP (4) (2023)
Xinlei Huang, Ning Jiang, Jialiang Tang, Wenqing Wu
Dynamic Feature Distillation. ICONIP (13) (2023)
Mingjin Liu, Wenxin Yu, Jialiang Tang, Ning Jiang, Kang Xu, Chang Liu
Improve 3D Feature Extraction and Fusion for Stage Diagnosis of Alzheimer's Disease. ISCAS (2022)
Honglin Zhu, Ning Jiang, Jialiang Tang, Xinlei Huang, Haifeng Qing, Wenqing Wu, Peng Zhang
Cross-Layer Fusion for Feature Distillation. ICONIP (4) (2022)
Jiawei Sun, Ning Jiang, Jialiang Tang
Cut-controller: An Effective Framework for Chinese Text Classification. ICMSSP (2022)
Haifeng Qing, Jialiang Tang, Xiaoyan Yang, Xinlei Huang, Honglin Zhu, Ning Jiang
Stimulates Potential for Knowledge Distillation. ICANN (4) (2022)
Xinlei Huang, Jialiang Tang, Haifeng Qing, Honglin Zhu, Ning Jiang, Wenqing Wu, Peng Zhang
Optimizing Knowledge Distillation via Shallow Texture Knowledge Transfer. ICONIP (4) (2022)
Jiarui Cheng, Ning Jiang, Jialiang Tang, Xin Deng, Wenxin Yu, Peng Zhang
Using a Two-Stage GAN to Learn Image Degradation for Image Super-Resolution. ICONIP (5) (2021)
Huan Cai, Jialiang Tang, Yihan Wu, Min Xia, Gang He, Yangsong Zhang
The Detection of Attentive Mental State Using a Mixed Neural Network Model. ISCAS (2021)
Mingjin Liu, Jialiang Tang, Wenxin Yu, Ning Jiang
Attention-Based 3D ResNet for Detection of Alzheimer's Disease Process. ICONIP (1) (2021)
Xiaoyan Yang, Jialiang Tang, Ning Jiang, Wenxin Yu, Peng Zhang
Triplet Mapping for Continuously Knowledge Distillation. ICONIP (1) (2021)
Ning Jiang, Jialiang Tang, Wenxin Yu, Jinjia Zhou
Local Feature Normalization. KSEM (2021)
Jialiang Tang, Ning Jiang, Wenxin Yu, Wenqin Wu
Triplet Knowledge Distillation Networks for Model Compression. IJCNN (2021)
Jialiang Tang, Xiaoyan Yang, Xin Cheng, Ning Jiang, Wenxin Yu, Peng Zhang
Consistent Knowledge Distillation Based on Siamese Networks. ICONIP (5) (2021)
Ning Jiang, Jialiang Tang, Wenxin Yu, Jinjia Zhou, Liuwei Mai
Gradient Local Binary Pattern Layer to Initialize the Convolutional Neural Networks. ISCAS (2021)
Ning Jiang, Jialiang Tang, Xiaoyan Yang, Wenxin Yu, Peng Zhang
Improving Shallow Neural Networks via Local and Global Normalization. ICONIP (1) (2021)
Jialiang Tang, Mingjin Liu, Ning Jiang, Wenxin Yu, Changzheng Yang, Jinjia Zhou
Knowledge Distillation Based on Positive-Unlabeled Classification and Attention Mechanism. ISCAS (2021)
Jialiang Tang, Mingjin Liu, Ning Jiang, Huan Cai, Wenxin Yu, Jinjia Zhou
Data-Free Network Pruning for Model Compression. ISCAS (2021)
Jialiang Tang, Mingjin Liu, Ning Jiang, Wenxin Yu, Changzheng Yang
Spatial and Channel Dimensions Attention Feature Transfer for Better Convolutional Neural Networks. ISCAS (2021)
Jialiang Tang, Xiaoyan Yang, Xin Cheng, Ning Jiang, Wenxin Yu, Peng Zhang
Data-Free Knowledge Distillation with Positive-Unlabeled Learning. ICONIP (2) (2021)
Jialiang Tang, Ning Jiang, Wenxin Yu
Gradient Local Binary Pattern For Convolutional Neural Networks. ICIP (2021)
Zhiqiang Zhang, Wenxin Yu, Jinjia Zhou, Xuewen Zhang, Jialiang Tang, Siyuan Li, Ning Jiang, Gang He, Gang He, Zhuo Yang
Customizable GAN: Customizable Image Synthesis Based on Adversarial Learning. ICONIP (4) (2020)
Jialiang Tang, Ning Jiang, Wenxin Yu, Jinjia Zhou, Liuwei Mai
Two-Stage Model Compression and Acceleration: Optimal Student Network for Better Performance. IEEE Access 8 (2020)
Ning Jiang, Jialiang Tang, Zhiqiang Zhang, Wenxin Yu, Xin Deng, Jinjia Zhou
Search-and-Train: Two-Stage Model Compression and Acceleration. ICONIP (5) (2020)