Gengshuo Liu

13 papers A* 2Misc 1Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
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.
Qual. Reliab. Eng. Int.
Shuai Lv, Shujie Liu, Hongkun Li, Yu Wang, Gengshuo Liu
2025 J jnl
A first-order meta learning method for remaining useful life prediction of rotating machinery under limited samples.
Appl. Soft Comput.
Yu Wang, Shujie Liu, Shuai Lv, Gengshuo Liu
2025 J jnl
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.
Shuai Lv, Shujie Liu, Hongkun Li, Yu Wang, Gengshuo Liu, Wei Dai
2025 Misc conf
Controllable Generative Model for Brain Evolution.
ICASSP
Gengshuo Liu, Nikhil N. Chaudhari, Nikos Kanakaris, Chenzhong Yin, Paul Bogdan, Andrei Irimia
2025 J jnl
Meta-Learning and Knowledge Discovery based Physics-Informed Neural Network for Remaining Useful Life Prediction.
CoRR
Yu Wang, Shujie Liu, Shuai Lv, Gengshuo Liu
2025 J jnl
Wireless Communication Security, Defense, and Monitoring in Smart Grids.
Int. J. Inf. Technol. Syst. Approach
Junbao Duan, Gengshuo Liu, Shuyan Zeng, Han Liu, Hongzhi Zhang, Zhenghao Li, Cheng Zhong, Donglan Liu, Weidong Gao
2024 J jnl
A hybrid method combining Lévy process and neural network for predicting remaining useful life of rotating machinery.
Adv. Eng. Informatics
Shuai Lv, Shujie Liu, Hongkun Li, Yu Wang, Gengshuo Liu, Wei Dai
2024 J jnl
Multi-scale Generative Modeling for Fast Sampling.
CoRR
Xiongye Xiao, Shixuan Li, Luzhe Huang, Gengshuo Liu, Trung-Kien Nguyen, Yi Huang, Di Chang, Mykel J. Kochenderfer, Paul Bogdan
2024 A* conf
Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning.
ICLR
Xiongye Xiao, Gengshuo Liu, Gaurav Gupta, Defu Cao, Shixuan Li, Yaxing Li, Tianqing Fang, Mingxi Cheng, Paul Bogdan
2024 J jnl
Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning.
CoRR
Xiongye Xiao, Gengshuo Liu, Gaurav Gupta, Defu Cao, Shixuan Li, Yaxing Li, Tianqing Fang, Mingxi Cheng, Paul Bogdan
2024 — conf
Research on Measurement Relaxation and Predictive Handover Based on LSTM Networks.
ICCT
Ziqi Dai, Gengshuo Liu, Weidong Gao, Xu Zhao, Kaisa Zhang, Yuchen Guo
2023 J jnl
Coupled Multiwavelet Neural Operator Learning for Coupled Partial Differential Equations.
CoRR
Xiongye Xiao, Defu Cao, Ruochen Yang, Gaurav Gupta, Gengshuo Liu, Chenzhong Yin, Radu Balan, Paul Bogdan
2023 A* conf
Coupled Multiwavelet Operator Learning for Coupled Differential Equations.
ICLR
Xiongye Xiao, Defu Cao, Ruochen Yang, Gaurav Gupta, Gengshuo Liu, Chenzhong Yin, Radu Balan, Paul Bogdan