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2020 – today
- 2023
[j3]Qiankun Hu
, Yong-Ping Zhao, Yuqiang Wang, Pei Peng, Lihua Ren:
Remaining Useful Life Estimation in Prognostics Using Deep Reinforcement Learning. IEEE Access 11: 32919-32934 (2023)- [j2]Qiankun Hu, Yong-Ping Zhao, Lihua Ren:
Novel Transformer-Based Fusion Models for Aero-Engine Remaining Useful Life Estimation. IEEE Access 11: 52668-52685 (2023) - [c2]Yongwei Zhang, Jiawei Luo, Yongchao Zhang, Lihua Ren, Yin Zhang, Yulin Huang, Jianyu Yang:
Adaptive Sparse Iterative Reweigthed Super-Resolution Method for Scanning Radar Imaging. IGARSS 2023: 7121-7124 - 2022
- [i2]Chao Wang, Ranbir Singh Batth, Peiying Zhang, Gagangeet Singh Aujla, Youxiang Duan, Lihua Ren:
VNE Solution for Network Differentiated QoS and Security Requirements: From the Perspective of Deep Reinforcement Learning. CoRR abs/2202.01362 (2022) - 2021
- [j1]Chao Wang, Ranbir Singh Batth, Peiying Zhang, Gagangeet Singh Aujla, Youxiang Duan, Lihua Ren:
VNE solution for network differentiated QoS and security requirements: from the perspective of deep reinforcement learning. Computing 103(6): 1061-1083 (2021) - [i1]Hao He, Tian Zhou, Lihua Ren, Niklas Karlsson, Aaron Flores:
Mid-flight Forecasting for CPA Lines in Online Advertising. CoRR abs/2107.07494 (2021)
2010 – 2019
- 2017
- [c1]Feng Yan, Lihua Ren, Daniel J. Dubois, Giuliano Casale, Jiawei Wen, Evgenia Smirni:
How to Supercharge the Amazon T2: Observations and Suggestions. CLOUD 2017: 278-285
Coauthor Index
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