Coupled Multiwavelet Operator Learning for Coupled Differential Equations. - Xiongye Xiao; Defu Cao; Ruochen Yang; Gaurav Gupta; Gengshuo Liu; Chenzhong Yin; Radu Balan; Paul Bogdan (ICLR, 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)

Research on Measurement Relaxation and Predictive Handover Based on LSTM Networks. - Ziqi Dai; Gengshuo Liu; Weidong Gao 003; Xu Zhao; Kaisa Zhang; Yuchen Guo (ICCT, 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 (ICLR, 2024)

A hybrid method combining Lévy process and neural network for predicting remaining useful life of rotating machinery. - Shuai Lv 004; Shujie Liu 003; Hongkun Li; Yu Wang 113; Gengshuo Liu; Wei Dai (Adv. Eng. Informatics, 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)

Controllable Generative Model for Brain Evolution. - Gengshuo Liu; Nikhil N. Chaudhari; Nikos Kanakaris; Chenzhong Yin; Paul Bogdan; Andrei Irimia (ICASSP, 2025)

A first-order meta learning method for remaining useful life prediction of rotating machinery under limited samples. - Yu Wang 113; Shujie Liu 003; Shuai Lv 004; Gengshuo Liu (Appl. Soft Comput., 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 004; Shujie Liu 003; Hongkun Li; Yu Wang 113; Gengshuo Liu; Wei Dai (Reliab. Eng. Syst. Saf., 2025)

Meta-Learning and Knowledge Discovery based Physics-Informed Neural Network for Remaining Useful Life Prediction. - Yu Wang 113; Shujie Liu 003; Shuai Lv 004; Gengshuo Liu (CoRR, 2025)