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Qing Xu 0015
Person information
- affiliation: Institute for Infocomm Research, Singapore
Other persons with the same name
- Qing Xu — disambiguation page
- Qing Xu 0001 — Xidian University, Key Laboratory of Radar Signal Processing, Xi'an, China
- Qing Xu 0002
— Tianjin University, School of Computer Science and Technology, China
- Qing Xu 0003 — Vanderbilt University, Institute of Imaging Science, Nashville, TN, USA
- Qing Xu 0004 — McGill University, Montreal, QC, Canada
- Qing Xu 0005
- Qing Xu 0006 — Ecole Nationale Super. des Telecomm., Paris, France
- Qing Xu 0007 — PINC Solutions
- Qing Xu 0008 — Université de technologie de Belfort-Montbéliard, France
- Qing Xu 0009
- Qing Xu 0010
- Qing Xu 0011 — Zhejiang University, School of Computer Science and Technology, Hangzhou, China
- Qing Xu 0012
- Qing Xu 0013
- Qing Xu 0014
- Qing Xu 0016
- Qing Xu 0017
- Qing Xu 0018
- Qing Xu 0019
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2020 – today
- 2024
- [j4]Qing Xu
Reinforced Knowledge Distillation for Time Series Regression. IEEE Trans. Artif. Intell. 5(6): 3184-3194 (2024) - [i4]Weichao Lan, Yiu-ming Cheung, Qing Xu, Buhua Liu, Zhikai Hu, Mengke Li, Zhenghua Chen:
Improve Knowledge Distillation via Label Revision and Data Selection. CoRR abs/2404.03693 (2024) - [i3]Xue Geng, Zhe Wang, Chunyun Chen, Qing Xu, Kaixin Xu, Chao Jin, Manas Gupta, Xulei Yang, Zhenghua Chen, Mohamed M. Sabry Aly, Jie Lin, Min Wu, Xiaoli Li:
From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks. CoRR abs/2405.06038 (2024) - [i2]Ruibing Jin, Qing Xu, Min Wu, Yuecong Xu
LLM-based Knowledge Pruning for Time Series Data Analytics on Edge-computing Devices. CoRR abs/2406.08765 (2024) - 2023
- [j3]Qing Xu, Min Wu, Edwin Khoo, Zhenghua Chen, Xiaoli Li:
A Hybrid Ensemble Deep Learning Approach for Early Prediction of Battery Remaining Useful Life. IEEE CAA J. Autom. Sinica 10(1): 177-187 (2023) - [c1]Qing Xu, Min Wu, Xiaoli Li, Kezhi Mao, Zhenghua Chen:
Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data. IJCAI 2023: 4460-4468 - [i1]Qing Xu, Min Wu, Xiaoli Li, Kezhi Mao, Zhenghua Chen:
Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data. CoRR abs/2307.03347 (2023) - 2022
- [j2]Qing Xu
Contrastive adversarial knowledge distillation for deep model compression in time-series regression tasks. Neurocomputing 485: 242-251 (2022) - [j1]Qing Xu
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 (2022)
Coauthor Index
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