English | 繁體

Search in the results

UM

Browse/Search Results:  1-9 of 9 Help

Selected(0)Clear Items/Page:    Sort:
GreenLLM: Towards Efficient Large Language Model via Energy-aware Pruning Conference paper
Tian, Chunlin, Qin, Xinpeng, Li, Li. GreenLLM: Towards Efficient Large Language Model via Energy-aware Pruning[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 202971.
Authors:  Tian, Chunlin;  Qin, Xinpeng;  Li, Li
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2024/11/05
Edge Device  Energy-aware Pruning  Large Language Model  
SlimFliud-Net: Fast Fluid Simulation Using Admm Pruning Conference paper
Hao Xiang, Songyang Yu, Ping Li, Weiguang Li, Enhua Wu, Bin Sheng. SlimFliud-Net: Fast Fluid Simulation Using Admm Pruning[C], 2022, 582-593.
Authors:  Hao Xiang;  Songyang Yu;  Ping Li;  Weiguang Li;  Enhua Wu; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2023/03/06
Filter Pruning  Fluid Simulation  Neural Network  
Robust Geometric Model Fitting Based on Nonnegative Matrix Underapproximation with Pruning Techniques for Multi-Structure Data Journal article
Lin, Shu Yuan, Lai, Tao Tao, Yan, Yan, Zhang, Li Ming, Wang, Han Zi. Robust Geometric Model Fitting Based on Nonnegative Matrix Underapproximation with Pruning Techniques for Multi-Structure Data[J]. Jisuanji Xuebao/Chinese Journal of Computers, 2021, 44(7), 1414-1429.
Authors:  Lin, Shu Yuan;  Lai, Tao Tao;  Yan, Yan;  Zhang, Li Ming;  Wang, Han Zi
Favorite | TC[Scopus]:0 | Submit date：2021/12/08
Computer Vision  Multiple-structure Data  Nonnegative Matrix Underapproximation  Outlier Pruning  Robust Geometric Model Fitting  
Pay Attention to Features, Transfer Learn Faster CNNs Conference paper
Wang, Kafeng, Gao, Xitong, Zhao, Yiren, Li, Xingjian, Dou, Dejing, Xu, Cheng-Zhong. Pay Attention to Features, Transfer Learn Faster CNNs[C], 2020.
Authors:  Wang, Kafeng;  Gao, Xitong;  Zhao, Yiren;  Li, Xingjian;  Dou, Dejing; et al.
Favorite | TC[Scopus]:30 | Submit date：2022/01/26
Transfer Learning  Pruning  Faster Cnns  
Direct Adaptive Data Cloud based Fuzzy Control for NARMAX System Conference paper
Yang, Zhao-Xu, Rong, Hai-Jun, Yang, Zhi-Xin. Direct Adaptive Data Cloud based Fuzzy Control for NARMAX System[C]:IEEE, 2019, 288-292.
Authors:  Yang, Zhao-Xu;  Rong, Hai-Jun;  Yang, Zhi-Xin
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2021/03/11
Data Clouds  Direct Adaptive Fuzzy Control  Evolving Fuzzy System  Narmax System  Pruning Strategy  
Intelligent Localization of a High-Speed Train Using LSSVM and the Online Sparse Optimization Approach Journal article
Cheng, Ruijun, Song, Yongduan, Chen, Dewang, Chen, Long. Intelligent Localization of a High-Speed Train Using LSSVM and the Online Sparse Optimization Approach[J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2017, 18(8), 2071-2084.
Authors:  Cheng, Ruijun;  Song, Yongduan;  Chen, Dewang;  Chen, Long
Favorite | TC[WOS]:21 TC[Scopus]:27  IF:7.9/8.3 | Submit date：2018/10/30
High-speed Train  Location Error  Lssvm  Online Sparse Optimization  Iterative Pruning Error Minimization  L-0-norm Minimization  
Robust learning of mixture models and its application on trial pruning for EEG signal analysis Conference paper
Boyu Wang, Feng Wan, Peng Un Mak, Pui In Mak, Mang I Vai. Robust learning of mixture models and its application on trial pruning for EEG signal analysis[C], 2012, 408-419.
Authors:  Boyu Wang;  Feng Wan;  Peng Un Mak;  Pui In Mak;  Mang I Vai
Favorite | TC[Scopus]:0 | Submit date：2018/12/24
Deterministic Annealing  Eeg Signals  Mixture Models  Robust Learning  Trial Pruning  
Optimized Very Fast Decision Tree with Balanced Classification Accuracy and Compact Tree Size Conference paper
Hang Yang, Simon Fong. Optimized Very Fast Decision Tree with Balanced Classification Accuracy and Compact Tree Size[C]:IEEE, 2011, 57-64.
Authors:  Hang Yang;  Simon Fong
Favorite |  | Submit date：2019/02/13
Incremental Optimization  Ovfdt  Stream Mining  Tree Pruning  Very Fast Decision Tree  
Moderated VFDT in Stream Mining Using Adaptive Tie Threshold and Incremental Pruning Conference paper
Hang Yang, Simon Fong. Moderated VFDT in Stream Mining Using Adaptive Tie Threshold and Incremental Pruning[C], 2011, 471-483.
Authors:  Hang Yang;  Simon Fong
Favorite | TC[Scopus]:33 | Submit date：2019/02/13
Data Stream Mining  Hoeffding Bound  Incremental Pruning