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ORCIDRenzhi Lu
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2020 – today
- 2026
[j16]Renzhi Lu
, Ning Wu, Qingqing Xiong, Yifang Shi, Dongrui Wu, Tao Yang, Yaochu Jin, Lihua Xie:
Mirror Descent Safe Policy Optimization for Reinforcement Learning Agents. IEEE Trans. Pattern Anal. Mach. Intell. 48(8): 9142-9155 (2026)- [j15]Kang Liu, Tao Li, Renzhi Lu, Yu Wang, Chuanzhen Jia, Pengyuan Zhao:
Disturbance Observer-Based Adaptive Predefined-Time Attitude Control for Tiltrotor UAVs With Actuator Faults. IEEE Trans. Aerosp. Electron. Syst. 62: 9258-9282 (2026) - [i1]Xianzhe Meng, Qiangsheng Zeng, Ling Luo, Qinghan Yang, Jiarui Hao, Wenbo Wu, Qinyu Wang, Rui Yin, Lin Qi, Renzhi Lu:
Stability as a Liability:Systematic Breakdown of Linguistic Structure in LLMs. CoRR abs/2601.18588 (2026) - 2025
- [j14]Jie Wang, Junhui Jiang, Xinlong Chen, Defu Cai, Yue Wu, Renzhi Lu:
A Novel YJQR-LSTM Model for Nonparametric Probabilistic Sustainable Agriculture Wind Power Forecasting Based on Intelligent IoT. IEEE Internet Things J. 12(23): 49174-49185 (2025) - [j13]Junling Zhang, Xiaotao Wang, Zhonghui Hu, Jiansong Zhang, Yuxuan Zhu, Renzhi Lu:
A Dual-Layer Policy Network-Based Deep Reinforcement Learning for Consumer Unmanned Surface Vessels Surrounding Control. IEEE Trans. Consumer Electron. 71(4): 10603-10612 (2025) - [j12]Renzhi Lu, Bohan Cen, Zhonghui Hu, Feng Zhao, Housheng Su, Lijun Zhu, Hai-Tao Zhang:
Fuzzy Actor-Critic Reinforcement Learning for Unmanned Surface Vessels Flexible Tracking Formation Control. IEEE Trans. Fuzzy Syst. 33(10): 3666-3680 (2025) - [j11]Renzhi Lu, Ning Wu, Tao Yang, Ying Chen, Mingyang Sun, Dong Wang, Xin Peng:
SMA-PDPPO: Safe Multiagent Primal-Dual Deep Reinforcement Learning for Industrial Parks Energy Trading. IEEE Trans. Ind. Informatics 21(3): 2640-2649 (2025) - [j10]Renzhi Lu, Ruichang Bai, Ruidong Li, Lijun Zhu, Mingyang Sun, Feng Xiao, Dong Wang, Huaming Wu, Yuemin Ding:
A Novel Sequence-to-Sequence-Based Deep Learning Model for Multistep Load Forecasting. IEEE Trans. Neural Networks Learn. Syst. 36(1): 638-652 (2025) - [j9]Renzhi Lu, Xiaotao Wang, Yiyu Ding, Hai-Tao Zhang, Feng Zhao, Lijun Zhu, Yong He:
Adaptive Optimal Surrounding Control of Multiple Unmanned Surface Vessels via Actor-Critic Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 36(7): 12173-12186 (2025) - [c9]TakMan Lo, Lixin Deng, Yizhu Tang, Kaip Tse, Jiatao Wu, Yuzhi Huang, Zhihao Li, Renzhi Lu:
An EfficientNetV2 Deep Learning Framework for Adolescent Bone-age Prediction Using Hand Radiographs. INDIN 2025: 1-6 - [c8]Zhihao Li, Lixin Deng, Yizhu Tang, Kaip Tse, Jiatao Wu, Yuzhi Huang, TakMan Lo, Renzhi Lu:
Bone Age Assessment Using EfficientNet V2 and Multi-Model Fusion. INDIN 2025: 1-6 - [c7]Yijia Liu, Zhibo Pang, Renzhi Lu, Yuemin Ding:
RL-Based Joint Latency Optimization for Software-Defined Wireless Cloud Fog Automation. INDIN 2025: 1-4 - [c6]Tao Ma, Tinghong Ye, Lixin Deng, Yizhu Tang, TakMan Lo, Kaip Tse, Jiatao Wu, Yuzhi Huang, Zhihao Li, Renzhi Lu:
Bone Age Prediction using a Convolutional Neural Network-based Regression Algorithm employing Attention-Directing and Cluster. INDIN 2025: 1-6 - 2024
- [j8]Zonghe Shao, Qichao Wang, Yuzhe Cao, Defu Cai, Yang You, Renzhi Lu:
A Novel Data-Driven LSTM-SAF Model for Power Systems Transient Stability Assessment. IEEE Trans. Ind. Informatics 20(7): 9083-9097 (2024) - [j7]Renzhi Lu, Zhenyu Jiang, Tao Yang, Ying Chen, Dong Wang, Xin Peng:
A Novel Hybrid-Action-Based Deep Reinforcement Learning for Industrial Energy Management. IEEE Trans. Ind. Informatics 20(10): 12461-12475 (2024) - [j6]Cheng Su, Xin Peng, Dan Yang, Renzhi Lu, Haojie Huang, Weimin Zhong:
A Transferable Ensemble Additive Network for Interpretable Prediction of Key Performance Indicators. IEEE Trans. Instrum. Meas. 73: 1-14 (2024) - 2023
- [j5]Renzhi Lu, Zhenyu Jiang, Huaming Wu, Yuemin Ding, Dong Wang, Hai-Tao Zhang:
Reward Shaping-Based Actor-Critic Deep Reinforcement Learning for Residential Energy Management. IEEE Trans. Ind. Informatics 19(3): 2662-2673 (2023) - [c5]Taoman Li, Fei Zhu, Zihan Gan, Zexing Zhou, Xiaotao Wang, Renzhi Lu:
Cooperative Target-Surrounding Control of Unmanned Surface Vessels Based on MADDPG. IECON 2023: 1-6 - 2022
- [j4]Renzhi Lu, Ruichang Bai, Zhe Luo, Junhui Jiang, Mingyang Sun, Hai-Tao Zhang:
Deep Reinforcement Learning-Based Demand Response for Smart Facilities Energy Management. IEEE Trans. Ind. Electron. 69(8): 8554-8565 (2022) - [c4]Zihan Gan, Jinghong Zheng, Zhenyu Jiang, Renzhi Lu:
Reward Shaping-based Double Deep Q-networks for Unmanned Surface Vessel Navigation and Obstacle Avoidance. IECON 2022: 1-6 - 2021
- [j3]Tianwei Zhong, Hai-Tao Zhang, Yuanzheng Li, Lan Liu, Renzhi Lu:
Bayesian Learning-Based Multi-Objective Distribution Power Network Reconfiguration. IEEE Trans. Smart Grid 12(2): 1174-1184 (2021)
2010 – 2019
- 2019
- [j2]Renzhi Lu, Seung Ho Hong, Mengmeng Yu:
Demand Response for Home Energy Management Using Reinforcement Learning and Artificial Neural Network. IEEE Trans. Smart Grid 10(6): 6629-6639 (2019) - 2017
- [c3]Zhe Luo, Seung Ho Hong, Renzhi Lu, Yuting Li, Xiongfeng Zhang, Jong-Beom Kim, Taeyang Park, Meng Zheng, Wei Liang:
OPC UA-Based Smart Manufacturing: System Architecture, Implementation, and Execution. ES 2017: 281-286 - 2015
- [c2]Yuemin Ding, Seung Ho Hong, Renzhi Lu, Jong-Beom Kim, Yong Hee Lee, Aidong Xu, Xiaobing Liang:
Experimental investigation of the packet loss rate of wireless industrial networks in real industrial environments. ICIA 2015: 1048-1053
2000 – 2009
- 2007
- [c1]Michelle Yan, Yue Lu, Renzhi Lu, Martin Requardt, Thomas Moeller, Satoru Takahashi, Jelle O. Barentsz:
Automatic detection of pelvic lymph nodes using multiple MR sequences. Computer-Aided Diagnosis 2007: 65140W - 2006
- [j1]Renzhi Lu, Richard J. Radke, Linda Hong, Chen-Shou Chui, Jianping Xiong, Ellen Yorke, Andrew Jackson:
Learning the relationship between patient geometry and beam intensity in breast intensity-modulated radiotherapy. IEEE Trans. Biomed. Eng. 53(5): 908-920 (2006)
Coauthor Index
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