Time-stepped approach for accelerated simulation of mobile ad hoc networks. - Shaowen Lu; John A. Schormans (IET Commun., 2008)

Error analysis in accelerated session-level MANET simulations. - Shaowen Lu; John A. Schormans (Simul. Model. Pract. Theory, 2009)

Modeling and Simulation of Whole Ball Mill Grinding Plant for Integrated Control. - Shaowen Lu; Ping Zhou 003; Tianyou Chai; Wei Dai 004 (IEEE Trans Autom. Sci. Eng., 2014)

Data-Driven Soft-Sensor Modeling for Product Quality Estimation Using Case-Based Reasoning and Fuzzy-Similarity Rough Sets. - Ping Zhou 003; Shaowen Lu; Tianyou Chai (IEEE Trans Autom. Sci. Eng., 2014)

Impact of Prior Exposure to the PLP Instruction Set Architecture in a Computer Architecture Course. - Sohum Sohoni; Scotty D. Craig; Shaowen Lu (SIGCSE, 2017)

Intelligent cloud based monitoring system of electricity demand of fused magnesium furnace process. - Jie Yang 046; Shaowen Lu; Liangyong Wang; Quan Xu (Int. J. Simul. Process. Model., 2017)

Deep Learning Based Fusion of RGB and Infrared Images for the Detection of Abnormal Condition of Fused Magnesium Furnace. - Shaowen Lu; Hongru Gao (ICCA, 2019)

A Mesoscale Endpoint Predictive Model of Ore Grinding Particle Size. - Shaowen Lu; Shuyu Huang (INDIN, 2019)

A Novel Method of Building Functional Brain Network Using Deep Learning Algorithm with Application in Proficiency Detection. - Chengcheng Hua; Hong Wang 010; Hong Wang 001; Shaowen Lu; Chong Liu; Syed Madiha Khalid (Int. J. Neural Syst., 2019)

Semi-supervised Learning Approach to Abnormality Detection with Complementary Features. - Shaowen Lu; Yixin Wen (INDIN, 2020)

Segmentation Improved Label Propagation for Semi-Supervised Anomaly Detection in Fused Magnesia Furnace Process. - Shaowen Lu (IEEE Access, 2020)

Segmentation of Multivariate Industrial Time Series Data Based on Dynamic Latent Variable Predictability. - Shaowen Lu; Shuyu Huang (IEEE Access, 2020)

Fused magnesia manufacturing process: a survey. - Jie Yang 046; Shaowen Lu; Liangyong Wang (J. Intell. Manuf., 2020)

Mesoscale Particle Size Predictive Model for Operational Optimal Control of Bauxite Ore Grinding Process. - Shaowen Lu; Tianyou Chai (IEEE Trans. Ind. Informatics, 2020)

Semi-Supervised Condition Monitoring and Visualization of Fused Magnesium Furnace. - Shaowen Lu; Yixin Wen (IEEE Trans Autom. Sci. Eng., 2022)

Improved Particle Swarm Optimization-GPR for Alumina Production Index Prediction Model. - Bo Zhang; Qingda Chen; Shaowen Lu (ASCC, 2024)

Sensor Fault Detection for CPS Under Attack-Free Consensus Protocol. - Yuxiang Hu; Shaowen Lu; Jiajun Kang; Chaozhong Guo; Jihong Yan (IEEE Trans. Instrum. Meas., 2024)

Prefetching-based Multiproposal Markov Chain Monte Carlo Algorithm. - Guifeng Ye; Shaowen Lu (IEEE Trans. Artif. Intell., 2024)

Online Prediction of Industrial Process Index: An Edge-Cloud Collaborated Approach. - Shaowen Lu; Yajun Zhang; Jinfeng Wu (IEEE Trans. Ind. Electron., 2024)

An Engineer-Oriented Teaching Practice of Industrial Process Control Systems. - Shaowen Lu; Liangyong Wang; Tao Yang; Yongjian Wu (EDUCON, 2025)

100 Gbps Low-Latency Protocol Processing and FPGA Implementation. - Liangwei Lei; Funan Zhu; Shaowen Lu; Yaohui Du; Jiawei Li; Xia Hou (IEEE Access, 2025)