A reinforcement learning decision model for online process parameters optimization from offline data in injection molding. - Fei Guo; Xiaowei Zhou; Jiahuan Liu; Yun Zhang 010; Dequn Li; Huamin Zhou (Appl. Soft Comput., 2019)

An effective retrieval method for 3D models in plastic injection molding for process reuse. - Fei Guo; Jiahuan Liu; Xiaowei Zhou; Hui Wang; Yun Zhang 010; Dequn Li; Huamin Zhou (Appl. Soft Comput., 2021)

Image classification method on class imbalance datasets using multi-scale CNN and two-stage transfer learning. - Jiahuan Liu; Fei Guo; Huang Gao 001; Zhigao Huang; Yun Zhang 010; Huamin Zhou (Neural Comput. Appl., 2021)

Defect classification on limited labeled samples with multiscale feature fusion and semi-supervised learning. - Jiahuan Liu; Fei Guo; Yun Zhang 010; Binkui Hou; Huamin Zhou (Appl. Intell., 2022)

A Concise TSK Fuzzy Ensemble Classifier Integrating Dropout and Bagging for High-Dimensional Problems. - Fei Guo; Jiahuan Liu; Maoyuan Li; Tianlun Huang; Yun Zhang 010; Dequn Li; Huamin Zhou (IEEE Trans. Fuzzy Syst., 2022)

Design and application of fuzzy neural network systems optimized with hybrid algorithms. - Yang Chen 011; Jiahuan Liu; Junge Zhou (Trans. Inst. Meas. Control, 2024)

Probabilistic Hesitant Fuzzy Evidence Theory and Its Application in Capability Evaluation of a Satellite Communication System. - Jiahuan Liu; Ping Jian; Desheng Liu; Wei Xiong (Entropy, 2024)

LCB-CV-UNet: Enhanced Detector for High Dynamic Range Radar Signals. - Yanbin Wang; Xingyu Chen; Yumiao Wang; Xiang Wang; Chuanfei Zang; Guolong Cui; Jiahuan Liu (CoRR, 2025)