Qing Xu

12 papers A* 2Journal 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks.
IEEE Trans. Neural Networks Learn. Syst.
Xue Geng, Zhe Wang, Chunyun Chen, Qing Xu, Kaixin Xu, Jin Chao, Manas Gupta, XuLei Yang, Zhenghua Chen, Mohamed M. Sabry Aly, Jie Lin, Min Wu, Xiaoli Li
2025 J jnl
Improve Knowledge Distillation via Label Revision and Data Selection.
IEEE Trans. Cogn. Dev. Syst.
Weichao Lan, Yiu-ming Cheung, Qing Xu, Buhua Liu, Zhikai Hu, Mengke Li, Zhenghua Chen
2024 J jnl
From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks.
CoRR
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
2024 J jnl
Improve Knowledge Distillation via Label Revision and Data Selection.
CoRR
Weichao Lan, Yiu-ming Cheung, Qing Xu, Buhua Liu, Zhikai Hu, Mengke Li, Zhenghua Chen
2024 J jnl
LLM-based Knowledge Pruning for Time Series Data Analytics on Edge-computing Devices.
CoRR
Ruibing Jin, Qing Xu, Min Wu, Yuecong Xu, Dan Li, Xiaoli Li, Zhenghua Chen
2024 A* conf
Reinforced Cross-Domain Knowledge Distillation on Time Series Data.
NeurIPS
Qing Xu, Min Wu, Xiaoli Li, Kezhi Mao, Zhenghua Chen
2024 J jnl
Reinforced Knowledge Distillation for Time Series Regression.
IEEE Trans. Artif. Intell.
Qing Xu, Keyu Wu, Min Wu, Kezhi Mao, Xiaoli Li, Zhenghua Chen
2023 J jnl
A Hybrid Ensemble Deep Learning Approach for Early Prediction of Battery Remaining Useful Life.
IEEE CAA J. Autom. Sinica
Qing Xu, Min Wu, Edwin Khoo, Zhenghua Chen, Xiaoli Li
2023 A* conf
Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data.
IJCAI
Qing Xu, Min Wu, Xiaoli Li, Kezhi Mao, Zhenghua Chen
2023 J jnl
Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data.
CoRR
Qing Xu, Min Wu, Xiaoli Li, Kezhi Mao, Zhenghua Chen
2022 J jnl
Contrastive adversarial knowledge distillation for deep model compression in time-series regression tasks.
Neurocomputing
Qing Xu, Zhenghua Chen, Mohamed Ragab, Chao Wang, Min Wu, Xiaoli Li
2022 J jnl
KDnet-RUL: A Knowledge Distillation Framework to Compress Deep Neural Networks for Machine Remaining Useful Life Prediction.
IEEE Trans. Ind. Electron.
Qing Xu, Zhenghua Chen, Keyu Wu, Chao Wang, Min Wu, Xiaoli Li