Renzhi Lu

According to our database, Renzhi Lu authored at least 24 papers between 2006 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Stability as a Liability:Systematic Breakdown of Linguistic Structure in LLMs.

Xianzhe Meng, Qiangsheng Zeng, Ling Luo, Qinghan Yang, Jiarui Hao, Wenbo Wu, Qinyu Wang, Rui Yin, Lin Qi, Renzhi Lu

CoRR, January, 2026

2025

A Dual-Layer Policy Network-Based Deep Reinforcement Learning for Consumer Unmanned Surface Vessels Surrounding Control.

Junling Zhang, Xiaotao Wang, Zhonghui Hu, Jiansong Zhang, Yuxuan Zhu, Renzhi Lu

IEEE Trans. Consumer Electron., November, 2025

Fuzzy Actor-Critic Reinforcement Learning for Unmanned Surface Vessels Flexible Tracking Formation Control.

Renzhi Lu, Bohan Cen, Zhonghui Hu, Feng Zhao, Housheng Su, Lijun Zhu, Hai-Tao Zhang

IEEE Trans. Fuzzy Syst., October, 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, Yong He

IEEE Trans. Neural Networks Learn. Syst., July, 2025

SMA-PDPPO: Safe Multiagent Primal-Dual Deep Reinforcement Learning for Industrial Parks Energy Trading.

Renzhi Lu, Ning Wu, Tao Yang, Ying Chen, Mingyang Sun, Dong Wang, Xin Peng

IEEE Trans. Ind. Informatics, March, 2025

A Novel Sequence-to-Sequence-Based Deep Learning Model for Multistep Load Forecasting.

Renzhi Lu, Ruichang Bai, Ruidong Li, Lijun Zhu, Mingyang Sun, Feng Xiao, Dong Wang, Huaming Wu, Yuemin Ding

IEEE Trans. Neural Networks Learn. Syst., January, 2025

A Novel YJQR-LSTM Model for Nonparametric Probabilistic Sustainable Agriculture Wind Power Forecasting Based on Intelligent IoT.

Jie Wang, Junhui Jiang, Xinlong Chen, Defu Cai, Yue Wu, Renzhi Lu

IEEE Internet Things J., 2025

Bone Age Prediction using a Convolutional Neural Network-based Regression Algorithm employing Attention-Directing and Cluster.

Tao Ma, Tinghong Ye, Lixin Deng, Yizhu Tang, TakMan Lo, Kaip Tse, Jiatao Wu, Yuzhi Huang, Zhihao Li, Renzhi Lu

Proceedings of the 23rd IEEE International Conference on Industrial Informatics, 2025

RL-Based Joint Latency Optimization for Software-Defined Wireless Cloud Fog Automation.

Yijia Liu, Zhibo Pang, Renzhi Lu, Yuemin Ding

Proceedings of the 23rd IEEE International Conference on Industrial Informatics, 2025

Bone Age Assessment Using EfficientNet V2 and Multi-Model Fusion.

Zhihao Li, Lixin Deng, Yizhu Tang, Kaip Tse, Jiatao Wu, Yuzhi Huang, TakMan Lo, Renzhi Lu

Proceedings of the 23rd IEEE International Conference on Industrial Informatics, 2025

An EfficientNetV2 Deep Learning Framework for Adolescent Bone-age Prediction Using Hand Radiographs.

TakMan Lo, Lixin Deng, Yizhu Tang, Kaip Tse, Jiatao Wu, Yuzhi Huang, Zhihao Li, Renzhi Lu

Proceedings of the 23rd IEEE International Conference on Industrial Informatics, 2025

2024

A Novel Hybrid-Action-Based Deep Reinforcement Learning for Industrial Energy Management.

Renzhi Lu, Zhenyu Jiang, Tao Yang, Ying Chen, Dong Wang, Xin Peng

IEEE Trans. Ind. Informatics, October, 2024

A Transferable Ensemble Additive Network for Interpretable Prediction of Key Performance Indicators.

Cheng Su, Xin Peng, Dan Yang, Renzhi Lu, Haojie Huang, Weimin Zhong

IEEE Trans. Instrum. Meas., 2024

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

2023

Reward Shaping-Based Actor-Critic Deep Reinforcement Learning for Residential Energy Management.

Renzhi Lu, Zhenyu Jiang, Huaming Wu, Yuemin Ding, Dong Wang, Hai-Tao Zhang

IEEE Trans. Ind. Informatics, March, 2023

Cooperative Target-Surrounding Control of Unmanned Surface Vessels Based on MADDPG.

Taoman Li, Fei Zhu, Zihan Gan, Zexing Zhou, Xiaotao Wang, Renzhi Lu

Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

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

Reward Shaping-based Double Deep Q-networks for Unmanned Surface Vessel Navigation and Obstacle Avoidance.

Zihan Gan, Jinghong Zheng, Zhenyu Jiang, Renzhi Lu

Proceedings of the IECON 2022, 2022

2021

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

2019

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

2017

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, Wei Liang

Proceedings of the 5th International Conference on Enterprise Systems, 2017

2015

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

Proceedings of the IEEE International Conference on Information and Automation, 2015

2007

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

Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, San Diego, 2007

2006

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