Solving game with interval-valued utilities. - Shengmin Cui; Lihua Zhou; Qi-Yu Fang; Ming Yang 041 (ICMLC, 2012)

Extending GeNIe for building graphical decision-theoretic models. - Yunfei Ge; Lihua Zhou; Shengmin Cui; Ming Yang 041 (FSKD, 2013)

An LSTM-Based Encoder-Decoder Model for State-of-Charge Estimation of Lithium-Ion Batteries. - Shengmin Cui; Xiaowa Yong; Sanghwan Kim; Seokjoon Hong; Inwhee Joe (CSOC (1), 2020)

Collision prediction for a low power wide area network using deep learning methods. - Shengmin Cui; Inwhee Joe (J. Commun. Networks, 2020)

A Dynamic Spatial-Temporal Attention-Based GRU Model With Healthy Features for State-of-Health Estimation of Lithium-Ion Batteries. - Shengmin Cui; Inwhee Joe (IEEE Access, 2021)

Personalized Energy Consumption Prediction of CAEVs With Personal Driving Cycle Selection. - Seokjoon Hong; Shengmin Cui; Hoyeon Hwang; Inwhee Joe; Wontae Kim 001 (IEEE Access, 2022)

A multi-head adjacent attention-based pyramid layered model for nested named entity recognition. - Shengmin Cui; Inwhee Joe (Neural Comput. Appl., 2023)

Improving the spatial-temporal aware attention network with dynamic trajectory graph learning for next Point-Of-Interest recommendation. - Gang Cao; Shengmin Cui; Inwhee Joe (Inf. Process. Manag., 2023)