Gengshuo Liu

According to our database, Gengshuo Liu authored at least 12 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A Multi-Path Degradation Modeling Framework With Adaptive Fractional Brownian Motion for Robust RUL Prediction in Mechanical Systems: A novel path adaptive RUL prediction method: MSM-MDAFBM.

Shuai Lv, Shujie Liu, Hongkun Li, Yu Wang, Gengshuo Liu

Qual. Reliab. Eng. Int., 2026

2025

Meta-Learning and Knowledge Discovery based Physics-Informed Neural Network for Remaining Useful Life Prediction.

Yu Wang, Shujie Liu, Shuai Lv, Gengshuo Liu

CoRR, April, 2025

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.

Shuai Lv, Shujie Liu, Hongkun Li, Yu Wang, Gengshuo Liu, Wei Dai

Reliab. Eng. Syst. Saf., 2025

Wireless Communication Security, Defense, and Monitoring in Smart Grids.

Junbao Duan, Gengshuo Liu, Shuyan Zeng, Han Liu, Hongzhi Zhang, Zhenghao Li, Cheng Zhong, Donglan Liu, Weidong Gao

Int. J. Inf. Technol. Syst. Approach, 2025

A first-order meta learning method for remaining useful life prediction of rotating machinery under limited samples.

Yu Wang, Shujie Liu, Shuai Lv, Gengshuo Liu

Appl. Soft Comput., 2025

Controllable Generative Model for Brain Evolution.

Gengshuo Liu, Nikhil N. Chaudhari, Nikos Kanakaris, Chenzhong Yin, Paul Bogdan, Andrei Irimia

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Multi-scale Generative Modeling for Fast Sampling.

Xiongye Xiao, Shixuan Li, Luzhe Huang, Gengshuo Liu, Trung-Kien Nguyen, Yi Huang, Di Chang, Mykel J. Kochenderfer, Paul Bogdan

CoRR, 2024

A hybrid method combining Lévy process and neural network for predicting remaining useful life of rotating machinery.

Shuai Lv, Shujie Liu, Hongkun Li, Yu Wang, Gengshuo Liu, Wei Dai

Adv. Eng. Informatics, 2024

Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning.

Xiongye Xiao, Gengshuo Liu, Gaurav Gupta, Defu Cao, Shixuan Li, Yaxing Li, Tianqing Fang, Mingxi Cheng, Paul Bogdan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Research on Measurement Relaxation and Predictive Handover Based on LSTM Networks.

Ziqi Dai, Gengshuo Liu, Weidong Gao, Xu Zhao, Kaisa Zhang, Yuchen Guo

Proceedings of the 24th IEEE International Conference on Communication Technology, 2024

2023

Coupled Multiwavelet Neural Operator Learning for Coupled Partial Differential Equations.

Xiongye Xiao, Defu Cao, Ruochen Yang, Gaurav Gupta, Gengshuo Liu, Chenzhong Yin, Radu Balan, Paul Bogdan

CoRR, 2023

Coupled Multiwavelet Operator Learning for Coupled Differential Equations.

Xiongye Xiao, Defu Cao, Ruochen Yang, Gaurav Gupta, Gengshuo Liu, Chenzhong Yin, Radu Balan, Paul Bogdan

Proceedings of the Eleventh International Conference on Learning Representations, 2023