A GPGPU-Based Collision Detection Algorithm. - Yisheng Zou; Xiaoli Zhou; Guofu Ding; Yong He; Meiwei Jia (ICIG, 2009)

Development of an Online Tool Condition Monitoring System for NC Machining Based on Spindle Power Signals. - Lei Han; Yisheng Zou; Guofu Ding; Menghao Zhu; Lei Jiang; Shengfeng Qin; Hongqin Liang (ICAC, 2018)

Review of job shop scheduling research and its new perspectives under Industry 4.0. - Jian Zhang 043; Guofu Ding; Yisheng Zou; Shengfeng Qin; Jianlin Fu (J. Intell. Manuf., 2019)

Environment interaction model-driven smart products through-life design framework. - Haizhu Zhang; Shengfeng Qin; Rong Li; Yisheng Zou; Guofu Ding (Int. J. Comput. Integr. Manuf., 2020)

Progressive modelling of feature-centred product family development. - Haizhu Zhang; Shengfeng Qin; Rong Li; Yisheng Zou; Guofu Ding (Int. J. Prod. Res., 2020)

A Novel Machine RUL Prediction Method in Small Sample based on Fully Convolutional Variational Auto-Encoding Network. - Yisheng Zou; Keming Shi; Yongzhi Liu; Zhangjidong; Yantao Liu; Guofu Ding (ICAC, 2021)

The Transfer Prediction Method of Bearing Remain Use Life Based on Dynamic Benchmark. - Yisheng Zou; Shijiao Zhao; Yongzhi Liu; Zhixuan Li; Xiaoxin Song; Guofu Ding (IEEE Trans. Instrum. Meas., 2021)

A Novel Remaining Useful Life Transfer Prediction Method of Rolling Bearings Based on Working Conditions Common Benchmark. - Zhixuan Li; Kai Zhang 051; Yongzhi Liu; Yisheng Zou; Guofu Ding (IEEE Trans. Instrum. Meas., 2022)

A Cross-Chains Procurement Approach between Enterprises Targeted at Automotive Service Providers. - Yunhui Gao; Linfu Sun; Qishi Wu; Yisheng Zou (ISKE, 2023)

A Multi-scale Deep Image Completion Model Fused Capsule Network. - Minglan Zhang; Weiqi Chen; Yisheng Zou; Chun Zhao; Linfu Sun; Han Min (ISKE, 2023)

Transfer Prediction Method of Bearing Remaining Useful Life Based on Deep Feature Evaluation under Different Working Conditions. - Yongzhi Liu; Yisheng Zou; Kai Zhang 051 (Sensors, 2023)

A deep implicit memory Gaussian network for time series forecasting. - Minglan Zhang; Linfu Sun; Yisheng Zou; Songlin He (Appl. Soft Comput., 2023)

A shared multi-scale lightweight convolution generative network for few-shot multivariate time series forecasting. - Minglan Zhang; Linfu Sun; Jing Yang; Yisheng Zou (Appl. Soft Comput., 2024)

A dual-topological graph memory network for anti-noise multivariate time series forecasting. - Minglan Zhang; Linfu Sun; Jing Yang; Yisheng Zou (Inf. Sci., 2024)

An efficient sharding consensus protocol for improving blockchain scalability. - Li Lu; Linfu Sun; Yisheng Zou (Comput. Commun., 2025)