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Towards accurate knowledge transfer via target-awareness representation disentanglement Journal article
Li, Xingjian, Hu, Di, Li, Xuhong, Xiong, Haoyi, Xu, Chengzhong, Dou, Dejing. Towards accurate knowledge transfer via target-awareness representation disentanglement[J]. Machine Learning, 2023, 113(2), 699-723.
Authors:  Li, Xingjian;  Hu, Di;  Li, Xuhong;  Xiong, Haoyi;  Xu, Chengzhong; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.3/5.8 | Submit date：2024/02/22
Fine-tuning  Representation Disentanglement  Transfer Learning  
A method and device for training classification models and data classification Patent
专利类型: 发明专利Invention,
Authors:  Kafeng Wang;  Chengzhong Xu;  Haoyi Xiong;  Xingjian Li;  Dejing Dou
Favorite |  | Submit date：2022/08/29
Deep Learning  Efficiency  Neural Network  Compression  Dynamic Computing  
A method and device for transfer learning Patent
专利类型: 发明专利Invention,
Authors:  Xingjian Li;  Hang Hua;  Chengzhong Xu;  Dejing Dou
Favorite |  | Submit date：2022/08/29
Transfer Learning  Fine-tuning  Regularization  Noise Stability  Transformer  
Improving Pretrained Language Model Fine-Tuning With Noise Stability Regularization Journal article
Hua, Hang, Li, Xingjian, Dou, Dejing, Xu, Cheng Zhong, Luo, Jiebo. Improving Pretrained Language Model Fine-Tuning With Noise Stability Regularization[J]. IEEE Transactions on Neural Networks and Learning Systems, 2023, 1-15.
Authors:  Hua, Hang;  Li, Xingjian;  Dou, Dejing;  Xu, Cheng Zhong;  Luo, Jiebo
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:10.2/10.4 | Submit date：2024/02/22
Domain Generalization  Fine-tuning  In-domain Generalization  Pretrained Language Models (Plms)  Regularization  
Semi-supervised transfer learning with hierarchical self-regularization Journal article
Li, Xingjian, Abuduweili, Abulikemu, Shi, Humphrey, Yang, Pengkun, Dou, Dejing, Xiong, Haoyi, Xu, Chengzhong. Semi-supervised transfer learning with hierarchical self-regularization[J]. Pattern Recognition, 2023, 144, 109831.
Authors:  Li, Xingjian;  Abuduweili, Abulikemu;  Shi, Humphrey;  Yang, Pengkun;  Dou, Dejing; et al.
Favorite | TC[WOS]:6 TC[Scopus]:8  IF:7.5/7.6 | Submit date：2023/09/21
Adaptive Sample Selection  Deep Learning  Fine-tuning  Hierarchical Consistency  Semi-supervised Learning  Transfer Learning  
Improving Bert Fine-Tuning via Stabilizing Cross-Layer Mutual Information Conference paper
Li, Jicun, Li, Xingjian, Wang, Tianyang, Wang, Shi, Cao, Yanan, Xu, Chengzhong, Dou, Dejing. Improving Bert Fine-Tuning via Stabilizing Cross-Layer Mutual Information[C]:Institute of Electrical and Electronics Engineers Inc., 2023.
Authors:  Li, Jicun;  Li, Xingjian;  Wang, Tianyang;  Wang, Shi;  Cao, Yanan; et al.
Favorite | TC[Scopus]:1 | Submit date：2024/02/22
Fine-tuning Stability  Mutual Information  Pre-trained Language Model  
Machine Learning in Real-Time Internet of Things Systems Journal article
Jiang Bian, Abdullah AI Arafat, Haoyi Xiong, Jing Li, Li Li, Hongyang Chen, Dejing Dou, Jun Wang, Zhishan Guo. Machine Learning in Real-Time Internet of Things Systems[J]. IEEE Internet of Things Journal, 2022.
Authors:  Jiang Bian;  Abdullah AI Arafat;  Haoyi Xiong;  Jing Li;  Li Li; et al.
Favorite |   IF:8.2/9.0 | Submit date：2022/08/30
COLAM: Co-Learning of Deep Neural Networks and Soft Labels via Alternating Minimization Journal article
Xingjian Li, Haoyi Xiong, Haozhe An, Chengzhong Xu, Dejing Dou. COLAM: Co-Learning of Deep Neural Networks and Soft Labels via Alternating Minimization[J]. Neural Processing Letters, 2022, 54(6), 4735 - 4749.
Authors:  Xingjian Li;  Haoyi Xiong;  Haozhe An;  Chengzhong Xu;  Dejing Dou
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:2.6/2.4 | Submit date：2022/08/05
Deep Learning  Neural Networks  Soft Label  
Machine Learning in Real-Time Internet of Things (IoT) Systems: A Survey Review article
2022
Authors:  Bian, Jiang;  Arafat, Abdullah Al;  Xiong, Haoyi;  Li, Jing;  Li, Li; et al.
Favorite | TC[WOS]:23 TC[Scopus]:39  IF:8.2/9.0 | Submit date：2022/05/17
Deep Learning  Hardware  Internet Of Things  Internet Of Things  Machine Learning  Machine Learning Algorithms  Real-time Systems  Real-time Systems.  Scheduling  Scheduling Algorithms  Sensors  Task Analysis  
Learning Moving-Object Tracking with FMCW LiDAR Conference paper
Yi Gu, Hongzhi Cheng, Kafeng Wang, Dejing Dou, Chengzhong Xu, Hui Kong. Learning Moving-Object Tracking with FMCW LiDAR[C], 2022, 3747-3753.
Authors:  Yi Gu;  Hongzhi Cheng;  Kafeng Wang;  Dejing Dou;  Chengzhong Xu; et al.
Favorite | TC[WOS]:3 TC[Scopus]:3 | Submit date：2022/08/30