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Link to original content: https://dblp.org/pid/93/1908-15.rss
dblp: Qing Xu https://dblp.org/pid/93/1908-15.html dblp person page RSS feed Thu, 28 Nov 2024 20:33:44 +0100 en-US daily 1 released under the CC0 1.0 license dblp@dagstuhl.de (dblp team) dblp@dagstuhl.de (dblp team) Computers/Computer_Science/Publications/Bibliographies http://www.rssboard.org/rss-specification https://dblp.org/img/logo.144x51.pngdblp: Qing Xuhttps://dblp.org/pid/93/1908-15.html14451 Reinforced Knowledge Distillation for Time Series Regression.https://doi.org/10.1109/TAI.2023.3341854, , , , , :
Reinforced Knowledge Distillation for Time Series Regression. IEEE Trans. Artif. Intell. 5(6): 3184-3194 ()]]>https://dblp.org/rec/journals/tai/XuWWMLC24Sat, 01 Jun 2024 01:00:00 +0200 Improve Knowledge Distillation via Label Revision and Data Selection.https://doi.org/10.48550/arXiv.2404.03693, , , , , , :
Improve Knowledge Distillation via Label Revision and Data Selection. CoRR abs/2404.03693 ()]]>https://dblp.org/rec/journals/corr/abs-2404-03693Mon, 01 Jan 2024 00:00:00 +0100 From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks.https://doi.org/10.48550/arXiv.2405.06038, , , , , , , , , , , , :
From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks. CoRR abs/2405.06038 ()]]>https://dblp.org/rec/journals/corr/abs-2405-06038Mon, 01 Jan 2024 00:00:00 +0100 LLM-based Knowledge Pruning for Time Series Data Analytics on Edge-computing Devices.https://doi.org/10.48550/arXiv.2406.08765, , , , , , :
LLM-based Knowledge Pruning for Time Series Data Analytics on Edge-computing Devices. CoRR abs/2406.08765 ()]]>https://dblp.org/rec/journals/corr/abs-2406-08765Mon, 01 Jan 2024 00:00:00 +0100 A Hybrid Ensemble Deep Learning Approach for Early Prediction of Battery Remaining Useful Life.https://doi.org/10.1109/JAS.2023.123024, , , , :
A Hybrid Ensemble Deep Learning Approach for Early Prediction of Battery Remaining Useful Life. IEEE CAA J. Autom. Sinica 10(1): 177-187 ()]]>https://dblp.org/rec/journals/ieeejas/XuWKCL23Sun, 01 Jan 2023 00:00:00 +0100 Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data.https://doi.org/10.24963/ijcai.2023/496, , , , :
Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data. IJCAI : 4460-4468]]>https://dblp.org/rec/conf/ijcai/001500MC23Sun, 01 Jan 2023 00:00:00 +0100 Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data.https://doi.org/10.48550/arXiv.2307.03347, , , , :
Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data. CoRR abs/2307.03347 ()]]>https://dblp.org/rec/journals/corr/abs-2307-03347Sun, 01 Jan 2023 00:00:00 +0100 Contrastive adversarial knowledge distillation for deep model compression in time-series regression tasks.https://doi.org/10.1016/j.neucom.2021.04.139, , , , , :
Contrastive adversarial knowledge distillation for deep model compression in time-series regression tasks. Neurocomputing 485: 242-251 ()]]>https://dblp.org/rec/journals/ijon/XuCRWWL22Sat, 01 Jan 2022 00:00:00 +0100 KDnet-RUL: A Knowledge Distillation Framework to Compress Deep Neural Networks for Machine Remaining Useful Life Prediction.https://doi.org/10.1109/TIE.2021.3057030, , , , , :
KDnet-RUL: A Knowledge Distillation Framework to Compress Deep Neural Networks for Machine Remaining Useful Life Prediction. IEEE Trans. Ind. Electron. 69(2): 2022-2032 ()]]>https://dblp.org/rec/journals/tie/XuCWWWL22Sat, 01 Jan 2022 00:00:00 +0100