Learning the relationship between patient geometry and beam intensity in breast intensity-modulated radiotherapy. - Renzhi Lu; Richard J. Radke; Linda Hong; Chen-Shou Chui; Jianping Xiong; Ellen Yorke; Andrew Jackson (IEEE Trans. Biomed. Eng., 2006)

Automatic detection of pelvic lymph nodes using multiple MR sequences. - Michelle Yan; Yue Lu; Renzhi Lu; Martin Requardt; Thomas Moeller; Satoru Takahashi; Jelle O. Barentsz (Computer-Aided Diagnosis, 2007)

Experimental investigation of the packet loss rate of wireless industrial networks in real industrial environments. - Yuemin Ding; Seung Ho Hong; Renzhi Lu; Jong-Beom Kim; Yong Hee Lee; Aidong Xu; Xiaobing Liang (ICIA, 2015)

OPC UA-Based Smart Manufacturing: System Architecture, Implementation, and Execution. - Zhe Luo; Seung Ho Hong; Renzhi Lu; Yuting Li; Xiongfeng Zhang; Jong-Beom Kim; Taeyang Park; Meng Zheng 001; Wei Liang 001 (ES, 2017)

Demand Response for Home Energy Management Using Reinforcement Learning and Artificial Neural Network. - Renzhi Lu; Seung Ho Hong; Mengmeng Yu (IEEE Trans. Smart Grid, 2019)

Bayesian Learning-Based Multi-Objective Distribution Power Network Reconfiguration. - Tianwei Zhong; Hai-Tao Zhang; Yuanzheng Li; Lan Liu; Renzhi Lu (IEEE Trans. Smart Grid, 2021)

Reward Shaping-based Double Deep Q-networks for Unmanned Surface Vessel Navigation and Obstacle Avoidance. - Zihan Gan; Jinghong Zheng 002; Zhenyu Jiang; Renzhi Lu (IECON, 2022)

Deep Reinforcement Learning-Based Demand Response for Smart Facilities Energy Management. - Renzhi Lu; Ruichang Bai; Zhe Luo; Junhui Jiang; Mingyang Sun; Hai-Tao Zhang (IEEE Trans. Ind. Electron., 2022)

Cooperative Target-Surrounding Control of Unmanned Surface Vessels Based on MADDPG. - Taoman Li; Fei Zhu; Zihan Gan; Zexing Zhou; Xiaotao Wang; Renzhi Lu (IECON, 2023)

Reward Shaping-Based Actor-Critic Deep Reinforcement Learning for Residential Energy Management. - Renzhi Lu; Zhenyu Jiang; Huaming Wu; Yuemin Ding; Dong Wang 003; Hai-Tao Zhang (IEEE Trans. Ind. Informatics, 2023)

A Novel Data-Driven LSTM-SAF Model for Power Systems Transient Stability Assessment. - Zonghe Shao; Qichao Wang; Yuzhe Cao; Defu Cai; Yang You; Renzhi Lu (IEEE Trans. Ind. Informatics, 2024)

A Transferable Ensemble Additive Network for Interpretable Prediction of Key Performance Indicators. - Cheng Su; Xin Peng 003; Dan Yang 011; Renzhi Lu; Haojie Huang; Weimin Zhong (IEEE Trans. Instrum. Meas., 2024)

A Novel Hybrid-Action-Based Deep Reinforcement Learning for Industrial Energy Management. - Renzhi Lu; Zhenyu Jiang; Tao Yang 003; Ying Chen 017; Dong Wang 003; Xin Peng 003 (IEEE Trans. Ind. Informatics, 2024)

A Novel Sequence-to-Sequence-Based Deep Learning Model for Multistep Load Forecasting. - Renzhi Lu; Ruichang Bai; Ruidong Li 001; Lijun Zhu 001; Mingyang Sun; Feng Xiao 002; Dong Wang 003; Huaming Wu; Yuemin Ding (IEEE Trans. Neural Networks Learn. Syst., 2025)

SMA-PDPPO: Safe Multiagent Primal-Dual Deep Reinforcement Learning for Industrial Parks Energy Trading. - Renzhi Lu; Ning Wu; Tao Yang 003; Ying Chen 017; Mingyang Sun; Dong Wang 003; Xin Peng 003 (IEEE Trans. Ind. Informatics, 2025)

Adaptive Optimal Surrounding Control of Multiple Unmanned Surface Vessels via Actor-Critic Reinforcement Learning. - Renzhi Lu; Xiaotao Wang; Yiyu Ding; Hai-Tao Zhang; Feng Zhao; Lijun Zhu 001; Yong He 003 (IEEE Trans. Neural Networks Learn. Syst., 2025)