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ORCIDZhenyu Lu 0002
Person information
- affiliation: Nanjing University of Information Science and Technology, School of Artificial Intelligence, Nanjing, China
Other persons with the same name
- Zhenyu Lu — disambiguation page
- Zhenyu Lu 0001
![[0000-0002-5446-7285]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-5446-7285")
— University of the West of England, Bristol, U.K. - Zhenyu Lu 0003 — Lanzhou University, Lanzhou, China
- Zhenyu Lu 0004 — Nanchang University, School of Advanced Manufacturing, Nanchang, China
- Zhenyu Lu 0005 — Sichuan Electric Power Design 8 Consulting Company, Sichuan, China
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Journal Articles
- 2024
[j27]Xinyao Shu, Shiyang Yan, Xu Yang, Ziheng Wu, Zhongfeng Chen, Zhenyu Lu:
ASCL: Adaptive self-supervised counterfactual learning for robust visual question answering. Expert Syst. Appl. 248: 123125 (2024)- [j26]Zhenyu Lu, Yuelou Bian, Tingya Yang, Quanbo Ge, Yuanliang Wang:
A New Siamese Heterogeneous Convolutional Neural Networks Based on Attention Mechanism and Feature Pyramid. IEEE Trans. Cybern. 54(1): 13-24 (2024) - [j25]Zhenyu Lu, Wanneng Shu, Yan Li:
An Anti-Collision Algorithm for Self-Organizing Vehicular Ad-Hoc Network Using Deep Learning. IEEE Trans. Intell. Transp. Syst. 25(3): 2779-2791 (2024) - 2023
- [j24]Zhenyu Lu, Zhenliang Cai, Weiwei Qian, Dong Zhou:
Intelligent Fault Diagnosis of Bearings With Both Working Condition Variation and Target Data Scarcity. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [j23]Youshen Xia, Jun Wang, Zhenyu Lu, Liqing Huang:
Two Recurrent Neural Networks With Reduced Model Complexity for Constrained l₁-Norm Optimization. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6173-6185 (2023) - 2022
- [j22]Yunan Qiu, Zhenyu Lu, Shanpu Fang:
A Short-Term Precipitation Prediction Model Based on Spatiotemporal Convolution Network and Ensemble Empirical Mode Decomposition. IEEE CAA J. Autom. Sinica 9(4): 738-740 (2022) - [j21]Qiang Yang, Jiaqi Yan, Xu-Dong Gao, Dong-Dong Xu, Zhenyu Lu, Jun Zhang:
Random neighbor elite guided differential evolution for global numerical optimization. Inf. Sci. 607: 1408-1438 (2022) - [j20]Yingjie Cui, Yunan Qiu, Le Sun, Xinyao Shu, Zhenyu Lu:
Quantitative Short-Term Precipitation Model Using Multimodal Data Fusion Based on a Cross-Attention Mechanism. Remote. Sens. 14(22): 5839 (2022) - [j19]Jun Mei, Zhenyu Lu, Junhao Hu, Yuling Fan:
Guaranteed Cost Finite-Time Control of Uncertain Coupled Neural Networks. IEEE Trans. Cybern. 52(1): 481-494 (2022) - [j18]Quanbo Ge, Chen Guo, Haoyu Jiang, Zhenyu Lu, Gang Yao, Jianmin Zhang, Qiang Hua:
Industrial Power Load Forecasting Method Based on Reinforcement Learning and PSO-LSSVM. IEEE Trans. Cybern. 52(2): 1112-1124 (2022) - [j17]Wen Sun, Zixin Yuan, Zhenyu Lu, Junhao Hu, Shihua Chen:
Quasisynchronization of Heterogeneous Neural Networks With Time-Varying Delays via Event-Triggered Impulsive Controls. IEEE Trans. Cybern. 52(5): 3855-3866 (2022) - [j16]Zhenyu Lu, Shaoyang Liang, Qiang Yang, Bo Du:
Evolving Block-Based Convolutional Neural Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-21 (2022) - [j15]Quanbo Ge, Mengmeng Wang, Haoyu Jiang, Zhenyu Lu, Gang Yao, Changyin Sun:
Health Management of Dry-Type Transformer Based on Broad Learning System. IEEE Trans. Ind. Electron. 69(3): 3027-3036 (2022) - [j14]Xiao Chen, Jie Ding, Zhenyu Lu:
A Decentralized Trust Management System for Intelligent Transportation Environments. IEEE Trans. Intell. Transp. Syst. 23(1): 558-571 (2022) - 2021
- [j13]Quanbo Ge, Shuaishuai Tang, Mengmeng Wang, Zhenyu Lu:
Improved nonlinear observable degree analysis using data fusion. Appl. Math. Comput. 392: 125613 (2021) - [j12]Jun Mei, Zhenyu Lu, Junhao Hu, Yuling Fan:
Energy-Efficient Optimal Guaranteed Cost Intermittent-Switch Control of a Direct Expansion Air Conditioning System. IEEE CAA J. Autom. Sinica 8(11): 1852-1866 (2021) - [j11]Xiao Chen, Jie Ding, Zhenyu Lu, Tianming Zhan:
An Efficient Formal Modeling Framework for Hybrid Cloud-Fog Systems. IEEE Trans. Netw. Sci. Eng. 8(1): 447-462 (2021) - [j10]Zhenyu Lu, Quanbo Ge, Yan Li, Junhao Hu:
Finite-Time Synchronization of Memristor-Based Recurrent Neural Networks With Inertial Items and Mixed Delays. IEEE Trans. Syst. Man Cybern. Syst. 51(5): 2701-2711 (2021) - 2020
- [j9]Zhenyu Lu, Cheng Zheng, Tingya Yang:
Application of Offshore Visibility Forecast Based on Temporal Convolutional Network and Transfer Learning. Comput. Intell. Neurosci. 2020: 8882279:1-8882279:12 (2020) - [j8]Tianming Zhan, Zhenyu Lu, Minghua Wan, Guowei Yang:
Multiscale Superpixel Kernel-Based Low-Rank Representation for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 17(9): 1642-1646 (2020) - [j7]Zhenyu Lu, Yanzhong Bai, Yi Chen, Chunqiu Su, Shanshan Lu, Tianming Zhan, Xunning Hong, Shuihua Wang:
The classification of gliomas based on a Pyramid dilated convolution resnet model. Pattern Recognit. Lett. 133: 173-179 (2020) - [j6]Zhenyu Lu, Bin Xu, Le Sun, Tianming Zhan, Songze Tang:
3-D Channel and Spatial Attention Based Multiscale Spatial-Spectral Residual Network for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 4311-4324 (2020) - [j5]Xiao-Fang Liu, Zhi-Hui Zhan, Tianlong Gu, Sam Kwong, Zhenyu Lu, Henry Been-Lirn Duh, Jun Zhang:
Neural Network-Based Information Transfer for Dynamic Optimization. IEEE Trans. Neural Networks Learn. Syst. 31(5): 1557-1570 (2020) - 2019
- [j4]Tianming Zhan, Minghua Wan, Le Sun, Yang Xu, Guowei Yang, Zhenyu Lu, Zebin Wu:
Robust Regression-Based Markov Random Field for Hyperspectral Image Classification. IEEE Access 7: 11868-11881 (2019) - [j3]Zhenyu Lu, Bingjian Lu, Hengde Zhang, You Fu, Yunan Qiu, Tianming Zhan:
A method of visibility forecast based on hierarchical sparse representation. J. Vis. Commun. Image Represent. 58: 160-165 (2019) - [j2]Zhenyu Lu, Yunan Qiu, Tianming Zhan:
Neutrosophic C-means clustering with local information and noise distance-based kernel metric image segmentation. J. Vis. Commun. Image Represent. 58: 269-276 (2019) - 2018
- [j1]Tianming Zhan, Fangqing Shen, Xunning Hong, Xihu Wang, Yunjie Chen, Zhenyu Lu, Guowei Yang:
A Glioma Segmentation Method Using CoTraining and Superpixel-Based Spatial and Clinical Constraints. IEEE Access 6: 57113-57122 (2018)
Conference and Workshop Papers
- 2023
- [c11]Tan-Lin Xiao, Qiang Yang, Xu-Dong Gao, Yuan-Yuan Ma, Zhenyu Lu, Sang-Woon Jeon, Jun Zhang:
Variation Encoded Large-Scale Swarm Optimizers for Path Planning of Unmanned Aerial Vehicle. GECCO 2023: 102-110 - [c10]Xin-Ai Dou, Qiang Yang, Xu-Dong Gao, Zhenyu Lu, Jun Zhang:
A Comparative Study on Crossover Operators of Genetic Algorithm for Traveling Salesman Problem. ICACI 2023: 1-8 - 2022
- [c9]Cong Bao, Qiang Yang, Xu-Dong Gao, Zhenyu Lu, Jun Zhang:
Ant colony optimization with shortest distance biased dispatch for visiting constrained multiple traveling salesmen problem. GECCO Companion 2022: 77-80 - [c8]Yong Li, Qiang Yang, Xu-Dong Gao, Zhenyu Lu, Jun Zhang:
A layered learning estimation of distribution algorithm. GECCO Companion 2022: 399-402 - [c7]Yuan-Peng Zhu, Qiang Yang, Xu-Dong Gao, Zhenyu Lu:
A Ranking Weight Based Roulette Wheel Selection Method for Comprehensive Learning Particle Swarm optimization. SMC 2022: 1-7 - [c6]Jia-Wei Ji, Qiang Yang, Xu-Dong Gao, Zhenyu Lu:
Investigation of Adaptive Parameter Strategies for Differential Evolution. SMC 2022: 1127-1132 - [c5]Cong Bao, Qiang Yang, Xu-Dong Gao, Zhenyu Lu:
Genetic Algorithm with Adapted Crossover Operators for Multiple Traveling Salesmen Problem with Visiting Constraints. SMC 2022: 3033-3039 - 2021
- [c4]Gong-Wei Song, Qiang Yang, Xu-Dong Gao, Yuan-Yuan Ma, Zhenyu Lu, Jun Zhang:
An Adaptive Level-Based Learning Swarm Optimizer for Large-Scale Optimization. SMC 2021: 152-159 - 2019
- [c3]Zhenyu Lu, Jia Lu, Quanbo Ge, Tianming Zhan:
Multi-object Detection Method based on YOLO and ResNet Hybrid Networks. ICARM 2019: 827-832 - [c2]Peng Wang, Quanbo Ge, Zhenyu Lu, Tianming Zhan:
Dog Face Recognition Algorithm Based on DC-Attention-SSD Neural Network. ICARM 2019: 833-838 - 2018
- [c1]Zhenyu Lu, Yunan Qiu, Tianming Zhan:
Neutrosophic C-means Clustering with Local Information and Noise Distance-Based Kernel Metric Image Segmentation. PCM (1) 2018: 168-178
Coauthor Index
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