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ORCIDGengshuo Liu
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2020 – today
- 2025
[j4]Yu Wang
, Shujie Liu, Shuai Lv, Gengshuo Liu:
A first-order meta learning method for remaining useful life prediction of rotating machinery under limited samples. Appl. Soft Comput. 182: 113616 (2025)- [j3]Junbao Duan, Gengshuo Liu, Shuyan Zeng, Han Liu, Hongzhi Zhang, Zhenghao Li, Cheng Zhong, Donglan Liu, Weidong Gao:
Wireless Communication Security, Defense, and Monitoring in Smart Grids. Int. J. Inf. Technol. Syst. Approach 18(1): 1-19 (2025) - [j2]Shuai Lv, Shujie Liu, Hongkun Li, Yu Wang, Gengshuo Liu, Wei Dai:
A novel method for predicting the remaining useful life of MOSFETs based on a linear multi-fractional Lévy stable motion driven by a GRU similarity transfer network. Reliab. Eng. Syst. Saf. 257: 110818 (2025) - [c4]Gengshuo Liu, Nikhil N. Chaudhari, Nikos Kanakaris, Chenzhong Yin, Paul Bogdan, Andrei Irimia:
Controllable Generative Model for Brain Evolution. ICASSP 2025: 1-5 - [i4]Yu Wang, Shujie Liu, Shuai Lv, Gengshuo Liu:
Meta-Learning and Knowledge Discovery based Physics-Informed Neural Network for Remaining Useful Life Prediction. CoRR abs/2504.13797 (2025) - 2024
- [j1]Shuai Lv, Shujie Liu, Hongkun Li, Yu Wang, Gengshuo Liu, Wei Dai:
A hybrid method combining Lévy process and neural network for predicting remaining useful life of rotating machinery. Adv. Eng. Informatics 61: 102490 (2024) - [c3]Ziqi Dai, Gengshuo Liu, Weidong Gao, Xu Zhao, Kaisa Zhang, Yuchen Guo:
Research on Measurement Relaxation and Predictive Handover Based on LSTM Networks. ICCT 2024: 688-693 - [c2]Xiongye Xiao, Gengshuo Liu, Gaurav Gupta, Defu Cao, Shixuan Li, Yaxing Li, Tianqing Fang, Mingxi Cheng, Paul Bogdan:
Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning. ICLR 2024 - [i3]Xiongye Xiao, Gengshuo Liu, Gaurav Gupta, Defu Cao, Shixuan Li, Yaxing Li, Tianqing Fang, Mingxi Cheng, Paul Bogdan:
Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning. CoRR abs/2404.09403 (2024) - [i2]Xiongye Xiao, Shixuan Li, Luzhe Huang, Gengshuo Liu, Trung-Kien Nguyen, Yi Huang, Di Chang, Mykel J. Kochenderfer, Paul Bogdan:
Multi-scale Generative Modeling for Fast Sampling. CoRR abs/2411.09356 (2024) - 2023
- [c1]Xiongye Xiao, Defu Cao, Ruochen Yang, Gaurav Gupta, Gengshuo Liu, Chenzhong Yin, Radu Balan, Paul Bogdan:
Coupled Multiwavelet Operator Learning for Coupled Differential Equations. ICLR 2023 - [i1]Xiongye Xiao, Defu Cao, Ruochen Yang, Gaurav Gupta, Gengshuo Liu, Chenzhong Yin, Radu Balan, Paul Bogdan:
Coupled Multiwavelet Neural Operator Learning for Coupled Partial Differential Equations. CoRR abs/2303.02304 (2023)
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