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Cross-domain visual prompting with spatial proximity knowledge distillation for histological image classification Journal article
Li, Xiaohong, Huang, Guoheng, Cheng, Lianglun, Zhong, Guo, Liu, Weihuang, Chen, Xuhang, Cai, Muyan. Cross-domain visual prompting with spatial proximity knowledge distillation for histological image classification[J]. Journal of Biomedical Informatics, 2024, 158, 104728.
Authors:  Li, Xiaohong;  Huang, Guoheng;  Cheng, Lianglun;  Zhong, Guo;  Liu, Weihuang; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.0/7.4 | Submit date：2024/10/10
Cross-domain Visual Prompting  Dynamic Learnable Temperature  Histological Image Classification  Knowledge Distillation  Spatial Proximity  
Generalized Few-Shot Node Classification With Graph Knowledge Distillation Journal article
Wang, Jialong, Zhou, Mengting, Zhang, Shilong, Gong, Zhiguo. Generalized Few-Shot Node Classification With Graph Knowledge Distillation[J]. IEEE Transactions on Computational Social Systems, 2024.
Authors:  Wang, Jialong;  Zhou, Mengting;  Zhang, Shilong;  Gong, Zhiguo
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.5/4.6 | Submit date：2024/05/16
Few-shot Learning (Fsl)  Graph Neural Networks (Gnns)  Knowledge Distillation  Node Classification  
A Cognitive-Based Trajectory Prediction Approach for Autonomous Driving Journal article
Liao, Haicheng, Li, Yongkang, Li, Zhenning, Wang, Chengyue, Cui, Zhiyong, Li, Shengbo Eben, Xu, Chengzhong. A Cognitive-Based Trajectory Prediction Approach for Autonomous Driving[J]. IEEE Transactions on Intelligent Vehicles, 2024, 9(4), 4632-4643.
Authors:  Liao, Haicheng;  Li, Yongkang;  Li, Zhenning;  Wang, Chengyue;  Cui, Zhiyong; et al.
Favorite | TC[WOS]:0 TC[Scopus]:7  IF:14.0/11.2 | Submit date：2024/05/16
Autonomous Driving  Trajectory Prediction  Cognitive Modeling  Knowledge Distillation  Interaction Understanding  
Group Multi-View Transformer for 3D Shape Analysis with Spatial Encoding Journal article
Xu, Lixiang, Cui, Qingzhe, Hong, Richang, Xu, Wei, Chen, Enhong, Yuan, Xin, Li, Chenglong, Tang, Yuanyan. Group Multi-View Transformer for 3D Shape Analysis with Spatial Encoding[J]. IEEE Transactions on Multimedia, 2024, 1-14.
Authors:  Xu, Lixiang;  Cui, Qingzhe;  Hong, Richang;  Xu, Wei;  Chen, Enhong; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:8.4/8.0 | Submit date：2024/05/16
3d Object Recognition  3d Position Embedding  Aggregates  Computational Modeling  Feature Extraction  Knowledge Distillation  Long Short Term Memory  Multi-view Vit  Shape  Solid Modeling  Three-dimensional Displays  View Grouping  
A New Framework of Collaborative Learning for Adaptive Metric Distillation Journal article
Liu,Hao, Ye,Mang, Wang,Yan, Zhao,Sanyuan, Li,Ping, Shen,Jianbing. A New Framework of Collaborative Learning for Adaptive Metric Distillation[J]. IEEE Transactions on Neural Networks and Learning Systems, 2023, 35(6), 8266-8277.
Authors:  Liu,Hao;  Ye,Mang;  Wang,Yan;  Zhao,Sanyuan;  Li,Ping; et al.
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:10.2/10.4 | Submit date：2023/08/03
Collaborative Learning  Deep Neural Networks  Knowledge Distillation (Kd)  Model Compression  
Distilled Siamese Networks for Visual Tracking Journal article
Shen, Jianbing, Liu, Yuanpei, Dong, Xingping, Lu, Xiankai, Khan, Fahad Shahbaz, Hoi, Steven. Distilled Siamese Networks for Visual Tracking[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2022, 44(12), 8896-8909.
Authors:  Shen, Jianbing;  Liu, Yuanpei;  Dong, Xingping;  Lu, Xiankai;  Khan, Fahad Shahbaz; et al.
Favorite | TC[WOS]:104 TC[Scopus]:105  IF:20.8/22.2 | Submit date：2023/01/30
Siamese Network  Teacher-students  Knowledge Distillation  Visual Object Tracking  Siamese Trackers  
KDCTime: Knowledge distillation with calibration on InceptionTime for time-series classification Journal article
Gong, Xueyuan, Si, Yain Whar, Tian, Yongqi, Lin, Cong, Zhang, Xinyuan, Liu, Xiaoxiang. KDCTime: Knowledge distillation with calibration on InceptionTime for time-series classification[J]. Information Sciences, 2022, 613, 184-203.
Authors:  Gong, Xueyuan;  Si, Yain Whar;  Tian, Yongqi;  Lin, Cong;  Zhang, Xinyuan; et al.
Favorite | TC[WOS]:4 TC[Scopus]:4  IF:0/0 | Submit date：2022/11/07
Time-series Classification  Deep Neural Networks  Inceptiontime  Overfitting  Knowledge Distillation  
“In-Network Ensemble”: Deep Ensemble Learning with Diversified Knowledge Distillation Journal article
Xingjian Li, Haoyi Xiong, Zeyu Chen, Jun Huan, Cheng-Zhong Xu, Dejing Dou. “In-Network Ensemble”: Deep Ensemble Learning with Diversified Knowledge Distillation[J]. ACM Transactions on Intelligent Systems and Technology, 2021, 12(5), 63:1-63:19.
Authors:  Xingjian Li;  Haoyi Xiong;  Zeyu Chen;  Jun Huan;  Cheng-Zhong Xu; et al.
Adobe PDF | Favorite | TC[WOS]:4 TC[Scopus]:7  IF:7.2/8.5 | Submit date：2022/08/22
Transfer Learning  Knowledge Distillation  Ensemble Learning  
Knowledge Distillation with Attention for Deep Transfer Learning of Convolutional Networks Journal article
Xingjian Li, Haoyi Xiong, Zeyu Chen, Jun Huan, Ji Liu, Cheng-Zhong Xu, Dejing Dou. Knowledge Distillation with Attention for Deep Transfer Learning of Convolutional Networks[J]. ACM Transactions on Knowledge Discovery from Data, 2021, 16(3), 42:1-42:20.
Authors:  Xingjian Li;  Haoyi Xiong;  Zeyu Chen;  Jun Huan;  Ji Liu; et al.
Adobe PDF | Favorite | TC[WOS]:11 TC[Scopus]:16  IF:4.0/3.9 | Submit date：2022/08/22
Trasfer Learning  Framework  Algorithms  Knowledge Distillation  
Defocus Blur Detection via Depth Distillation Conference paper
Xiaodong Cun, Chi-Man Pun. Defocus Blur Detection via Depth Distillation[C], 2020, 747 - 763.
Authors:  Xiaodong Cun;  Chi-Man Pun
Favorite | TC[Scopus]:24 | Submit date：2022/08/23
Defocus Blur Detection  Attention Module  Knowledge Distillation