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Adversarial de-overlapping learning machines for supervised and semi-supervised learning Journal article
Sun, Yichen, Vong, Chi Man, Wang, Shitong. Adversarial de-overlapping learning machines for supervised and semi-supervised learning[J]. International Journal of Machine Learning and Cybernetics, 2024.
Authors:  Sun, Yichen;  Vong, Chi Man;  Wang, Shitong
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:3.1/3.6 | Submit date：2024/11/05
Class Overlapping  Imbalanced Classification  Random Fourier Features  Semi-supervised Learning  
Leveraging Part-of-Speech Tagging for Enhanced Stylometry of Latin Literature Conference paper
Chen, Sarah Li, Burns, Patrick J., Bolt, Thomas J., Chaudhuri, Pramit, Dexter, Joseph P.. Leveraging Part-of-Speech Tagging for Enhanced Stylometry of Latin Literature[C]:Association for Computational Linguistics (ACL), 2024, 251-259.
Authors:  Chen, Sarah Li;  Burns, Patrick J.;  Bolt, Thomas J.;  Chaudhuri, Pramit;  Dexter, Joseph P.
Favorite | TC[Scopus]:0 | Submit date：2024/10/10
Ranking-based Client Selection with Imitation Learning for Efficient Federated Learning Journal article
Chunlin Tian, Zhan Shi, Xinpeng Qin, Li Li, ChengZhong Xu. Ranking-based Client Selection with Imitation Learning for Efficient Federated Learning[J]. International Conference on Machine Learning, 2024, 235, 48211 - 48225.
Authors:  Chunlin Tian;  Zhan Shi;  Xinpeng Qin;  Li Li;  ChengZhong Xu
Favorite | TC[Scopus]:1 | Submit date：2024/08/29
Unifying Image Processing as Visual Prompting Question Answering Conference paper
Yihao Liu, Xiangyu Chen, Xianzheng Ma, Xintao Wang, Jiantao Zhou, Yu Qiao, Chao Dong. Unifying Image Processing as Visual Prompting Question Answering[C]:ML Research Press, 2024, 30873 - 30891.
Authors:  Yihao Liu;  Xiangyu Chen;  Xianzheng Ma;  Xintao Wang;  Jiantao Zhou; et al.
Favorite | TC[Scopus]:0 | Submit date：2024/08/08
Ranking-based Client Imitation Selection for Efficient Federated Learning Conference paper
Tian, Chunlin, Shi, Zhan, Qin, Xinpeng, Li, Li, Xu, Chengzhong. Ranking-based Client Imitation Selection for Efficient Federated Learning[C]:ML Research Press, 2024, 48211-48225.
Authors:  Tian, Chunlin;  Shi, Zhan;  Qin, Xinpeng;  Li, Li;  Xu, Chengzhong
Favorite | TC[Scopus]:1 | Submit date：2024/10/10
Deep Joint Source-Channel Coding Over the Relay Channel Conference paper
Bian, Chenghong, Shao, Yulin, Wu, Haotian, Gunduz, Deniz. Deep Joint Source-Channel Coding Over the Relay Channel[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 139-144.
Authors:  Bian, Chenghong;  Shao, Yulin;  Wu, Haotian;  Gunduz, Deniz
Favorite | TC[WOS]:2 TC[Scopus]:1 | Submit date：2024/10/10
Cooperative Relay Networks  Decode-and-forward  Deep Joint Source-channel Coding  
Open-Vocabulary Calibration for Fine-tuned CLIP Conference paper
Wang, Shuoyuan, Wang, Jindong, Wang, Guoqing, Zhang, Bob, Zhou, Kaiyang, Wei, Hongxin. Open-Vocabulary Calibration for Fine-tuned CLIP[C]:ML Research Press, 2024, 51734-51754.
Authors:  Wang, Shuoyuan;  Wang, Jindong;  Wang, Guoqing;  Zhang, Bob;  Zhou, Kaiyang; et al.
Favorite | TC[Scopus]:0 | Submit date：2024/10/10
LCA-on-the-Line: Benchmarking Out-of-Distribution Generalization with Class Taxonomies Conference paper
Shi, Jia, Gare, Gautam, Tian, Jinjin, Chai, Siqi, Lin, Zhiqiu, Vasudevan, Arun, Feng, Di, Ferroni, Francesco, Kong, Shu. LCA-on-the-Line: Benchmarking Out-of-Distribution Generalization with Class Taxonomies[C]:ML Research Press, 2024, 44887-44908.
Authors:  Shi, Jia;  Gare, Gautam;  Tian, Jinjin;  Chai, Siqi;  Lin, Zhiqiu; et al.
Favorite | TC[Scopus]:0 | Submit date：2024/10/10
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  
Multi-level regularization-based unsupervised multi-view feature selection with adaptive graph learning Journal article
Chen, Tingjian, Zeng, Ying, Yuan, Haoliang, Zhong, Guo, Lai, Loi Lei, Tang, Yuan Yan. Multi-level regularization-based unsupervised multi-view feature selection with adaptive graph learning[J]. International Journal of Machine Learning and Cybernetics, 2022, 14(5), 1695-1709.
Authors:  Chen, Tingjian;  Zeng, Ying;  Yuan, Haoliang;  Zhong, Guo;  Lai, Loi Lei; et al.
Favorite | TC[WOS]:3 TC[Scopus]:3  IF:3.1/3.6 | Submit date：2023/01/30
Adaptive Graph Learning  Multi-level Regularization  Multi-view Feature Selection  Unsupervised Learning