dblp: Ruonan Liu (original) (raw)

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2020 – today

• 2026
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  [j40]
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    Ruonan Liu, Guangdeng Zong, Xudong Zhao, Wencheng Wang:
    Neural network-based practical prescribed time adaptive tracking control for nonlinear networked control systems under deception attacks. Neural Networks 197: 108491 (2026)
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  [j39]
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    Jiangming Xu, Xiang Zhang, Jun Cheng, Ruonan Liu, Weidong Zhang:
    GA-Assisted Event-Triggered Fault Detection for Networked Systems Under DoS Attacks. IEEE Trans Autom. Sci. Eng. 23: 5145-5154 (2026)
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  [j38]
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    Shukang Chen, Shan Xue, Ruonan Liu, Zhihuan Hu, Weidong Zhang:
    Event-Triggered Zero-Sum Game for Safety Control of Autonomous Surface Vehicles. IEEE Trans. Syst. Man Cybern. Syst. 56(2): 790-799 (2026)
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  [c21]
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    Jibin Peng, Di Lin, Zhecheng Xu, Haoran Lu, Ruonan Liu, Wuyuan Xie, Miaohui Wang, Lingyu Liang, Yi Wang, Qing Guo:
    FreeMem: Enhancing Consistency in Long Video Generation via Tuning-Free Memory. AAAI 2026: 8340-8348
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  [c20]
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    Xuesong Zhang, Yunbo Xu, Jia Li, Ruonan Liu, Zhenzhen Hu:
    Agent Journey Beyond RGB: Hierarchical Semantic-Spatial Representation Enrichment for Vision-and-Language Navigation. AAAI 2026: 18791-18799
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  [i5]
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    Zhi Wang, Liu Liu, Ruonan Liu, Dan Guo, Meng Wang:
    StructBiHOI: Structured Articulation Modeling for Long-Horizon Bimanual Hand-Object Interaction Generation. CoRR abs/2603.08390 (2026)
• 2025
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  [j37]
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    Ruonan Liu, Muhammad Ayoub, Junaid Abdul Wahid:
    CancerFusionPrompt: A Novel Framework for Multimodal Cancer Subtype Classification Using Vision-Language Model. Expert Syst. J. Knowl. Eng. 42(5) (2025)
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  [j36]
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    Ruonan Liu, Quanhu Zhang, Di Lin, Weidong Zhang, Steven X. Ding:
    Causal Disentangled Graph Neural Network for Fault Diagnosis of Complex Industrial Process. IEEE Trans. Ind. Informatics 21(1): 386-395 (2025)
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  [j35]
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    Ruonan Liu, Puyuan Hu, Siheng Zhao, Di Lin, Weidong Zhang, Steven X. Ding:
    Causal Counterfactual Faithfulness Generation for Open-Set Fault Diagnosis of Complex Industrial Processes. IEEE Trans. Ind. Informatics 21(12): 9538-9549 (2025)
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  [j34]
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    Renjie Zhang, Di Lin, Xin Wang, Ruonan Liu, Bin Sheng, George Baciu, C. L. Philip Chen, Ping Li:
    Temporal-Interim Pose Synthesis and Distillation for Dynamic Human Pose Estimation. IEEE Trans. Neural Networks Learn. Syst. 36(8): 14159-14173 (2025)
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  [j33]
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    Boyuan Yang, Jinyuan Zhang, Ruonan Liu, Di Lin, Ping Li, C. L. Philip Chen:
    Point-to-Set Metric-Gated Mixture of Experts for Multisource Domain Adaptation Fault Diagnosis. IEEE Trans. Neural Networks Learn. Syst. 36(8): 14893-14907 (2025)
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  [j32]
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    Zekang Li, Ruonan Liu, Dongyue Chen, Qinghua Hu:
    OR-Gate Mixup Multiscale Spectral Graph Neural Network for Node Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. 36(9): 16692-16705 (2025)
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  [j31]
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    Guangdeng Zong, Ruonan Liu, Hongzhen Xie, Yudi Wang, Xudong Zhao:
    Observer-Based Adaptive NN Tracking Control for Nonlinear NCSs Under Intermittent DoS Attacks: A Finite-Time Prescribed Performance Method. IEEE Trans. Syst. Man Cybern. Syst. 55(3): 2322-2331 (2025)
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  [c19]
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    Longyang Huang, Ruonan Liu, Zehua Jia, Weidong Zhang:
    Efficient Inverse Reinforcement Learning for Unknown Discrete-Time Systems. CDC 2025: 4188-4193
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  [c18]
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    Ping Kong, Ruonan Liu, Zongxia Xie, Zhibo Pang:
    VLN-KHVR: Knowledge-And-History Aware Visual Representation for Continuous Vision-and-Language Navigation. ICRA 2025: 5236-5243
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  [c17]
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    Shuai Wu, Ruonan Liu, Zongxia Xie, Zhibo Pang:
    Map-SemNav: Advancing Zero-Shot Continuous Vision-and-Language Navigation Through Visual Semantics and Map Integration. ICRA 2025: 7577-7584
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  [c16]
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    Tong Ge, Siheng Zhao, Shifei Ma, Ruonan Liu:
    Anomaly Detection of Marine Engines using Graph Network AutoEncoder with Multi-scale Feature Fusion. INDIN 2025: 1-5
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  [c15]
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    Ruonan Liu, Puyuan Hu, Siheng Zhao, Shifei Ma, Di Lin, Weidong Zhang:
    Causal Regularization Graph Attention Network for Stable Variables Decoupling and Fault Diagnosis of Complex Industrial Processes. INDIN 2025: 1-6
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  [c14]
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    Zihan Jiang, Ruonan Liu, Yibo Zhou, Haibo Lu, BoYuan Yang, Di Lin, Weidong Zhang:
    PhysGCN-DL: Physics-Informed Graph Convolutional Networks with Diversity-Aware Loss Optimization for Multimodal Pedestrian Trajectory Prediction. IROS 2025: 38-45
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  [c13]
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    Ruonan Liu, Shuai Wu, Di Lin, Weidong Zhang:
    CVLN-Think: Causal Inference with Counterfactual Style Adaptation for Continuous Vision-and-Language Navigation. IROS 2025: 15299-15305
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  [c12]
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    Lin Zhu, Ruonan Liu, Xiao Wang, Lizhi Wang, Hua Huang:
    Revealing Latent Information: A Physics-inspired Self-supervised Pre-training Framework for Noisy and Sparse Events. ACM Multimedia 2025: 7490-7499
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  [i4]
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    Haotian Dong, Xin Wang, Di Lin, Yipeng Wu, Qin Chen, Ruonan Liu, Kairui Yang, Ping Li, Qing Guo:
    NoiseController: Towards Consistent Multi-view Video Generation via Noise Decomposition and Collaboration. CoRR abs/2504.18448 (2025)
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  [i3]
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    Lin Zhu, Ruonan Liu, Xiao Wang, Lizhi Wang, Hua Huang:
    Revealing Latent Information: A Physics-inspired Self-supervised Pre-training Framework for Noisy and Sparse Events. CoRR abs/2508.05507 (2025)
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  [i2]
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    Ying Feng, Hongjie Fang, Yinong He, Jingjing Chen, Chenxi Wang, Zihao He, Ruonan Liu, Cewu Lu:
    Learning Dexterous Manipulation with Quantized Hand State. CoRR abs/2509.17450 (2025)
• 2024
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  [j30]
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    Ruonan Liu:
    Simulation of E-learning in English personalized learning recommendation system based on Markov chain algorithm and adaptive learning algorithm. Entertain. Comput. 51: 100719 (2024)
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  [j29]
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    Guanghui Li, Qinghua Huang, Chunying Liu, Guanying Wang, Lingli Guo, Ruonan Liu, Longzhong Liu:
    Fully automated diagnosis of thyroid nodule ultrasound using brain-inspired inference. Neurocomputing 582: 127497 (2024)
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  [j28]
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    Ruonan Liu, Dong Xiao, Di Lin, Weidong Zhang:
    Intelligent Bearing Anomaly Detection for Industrial Internet of Things Based on Auto-Encoder Wasserstein Generative Adversarial Network. IEEE Internet Things J. 11(13): 22869-22879 (2024)
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  [j27]
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    Ruonan Liu, Yitian Xu:
    A log-based non-convex relaxation regularized regression for robust face recognition. Inf. Sci. 667: 120470 (2024)
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  [j26]
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    Shuo Ma, Jiangman Li, Ruonan Liu, Qiang Li:
    Exponential Stability of Impulsive Stochastic Neutral Neural Networks with Lévy Noise Under Non-Lipschitz Conditions. Neural Process. Lett. 56(4): 208 (2024)
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  [j25]
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    Ruonan Liu, Quanhu Zhang, Di Lin, Weidong Zhang, Steven X. Ding:
    Causal intervention graph neural network for fault diagnosis of complex industrial processes. Reliab. Eng. Syst. Saf. 251: 110328 (2024)
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  [j24]
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    Ruonan Liu, Yunfei Xie, Di Lin, Weidong Zhang, Steven X. Ding:
    Information-based Gradient enhanced Causal Learning Graph Neural Network for fault diagnosis of complex industrial processes. Reliab. Eng. Syst. Saf. 252: 110468 (2024)
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  [j23]
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    Xiang Zhang, Shuping He, Zhihuan Hu, Ruonan Liu, Hongtian Chen, Weidong Zhang:
    Fault Detection of Unmanned Surface Vehicles: The Fuzzy Multiprocessor Implementation. IEEE Trans. Fuzzy Syst. 32(11): 6573-6582 (2024)
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  [j22]
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    Hao Wang, Ruonan Liu, Steven X. Ding, Qinghua Hu, Zengxiang Li, Hongkuan Zhou:
    Causal-Trivial Attention Graph Neural Network for Fault Diagnosis of Complex Industrial Processes. IEEE Trans. Ind. Informatics 20(2): 1987-1996 (2024)
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  [j21]
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    Peng Cheng, Shengwang Ye, Ruonan Liu, Shuping He, Weidong Zhang:
    SMC-Based Bounded Consensus Tracking for Multiagent Systems Under Stochastic DoS Attacks With Applications to Multiple DC Motors. IEEE Trans. Ind. Informatics 20(8): 10074-10083 (2024)
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  [j20]
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    Wenlong Yu, Ruonan Liu, Dongyue Chen, Qinghua Hu:
    Explainability Enhanced Object Detection Transformer With Feature Disentanglement. IEEE Trans. Image Process. 33: 6439-6454 (2024)
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  [j19]
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    Dongyue Chen, Zongxia Xie, Ruonan Liu, Wenlong Yu, Qinghua Hu, Xianling Li, Steven X. Ding:
    Bayesian Hierarchical Graph Neural Networks With Uncertainty Feedback for Trustworthy Fault Diagnosis of Industrial Processes. IEEE Trans. Neural Networks Learn. Syst. 35(12): 18635-18648 (2024)
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  [c11]
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    Ruonan Liu, Ping Kong, Shuai Wu, Weidong Zhang:
    RewardVLN: AnImproved Agent Navigation Based On Visual-Instruction Alignment. ICARM 2024: 126-133
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  [c10]
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    Ruonan Liu, Yiying Liu, Jingtong Ma, Simian Fu, Yugui Cheng, Ye Tian:
    Conductive adhesion antifreeze hydrogel sensor for monitoring human motion. ICBEA 2024: 103-107
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  [c9]
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    Ruonan Liu, Shuai Wu, Qiming Liu, Dongsheng Guo, Weidong Zhang:
    Rectified Flow-Based Generative Transfer Learning for System Fault Diagnosis. ICVISP 2024: 1-6
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  [c8]
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    Jinyuan Zhang, Boyuan Yang, Ruonan Liu:
    Dynamic Confusion-Aware Correlation Network for Cross-Domain Fault Diagnosis. IECON 2024: 1-6
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  [c7]
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    Ruonan Liu, Ping Kong, Weidong Zhang:
    Multiple Visual Features in Topological Map for Vision-and-Language Navigation. IROS 2024: 7742-7749
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  [c6]
  Lubo Wang, Di Lin, Kairui Yang, Ruonan Liu, Qing Guo, Wuyuan Xie, Miaohui Wang, Lingyu Liang, Yi Wang, Ping Li:
  Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion. NeurIPS 2024
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  [i1]
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    Xinli Guo, Weidong Zhang, Ruonan Liu, Peng Han, Hongtian Chen:
    MotionGS : Compact Gaussian Splatting SLAM by Motion Filter. CoRR abs/2405.11129 (2024)
• 2023
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  [j18]
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    Ruonan Liu, Yizhong Xin:
    Online Handwritten Signature Verification Method Based on Uni-Feature Correlation Coefficient between Signatures. Sensors 23(23): 9341 (2023)
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  [j17]
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    Yu Wang, Ruonan Liu, Di Lin, Dongyue Chen, Ping Li, Qinghua Hu, C. L. Philip Chen:
    Coarse-to-Fine: Progressive Knowledge Transfer-Based Multitask Convolutional Neural Network for Intelligent Large-Scale Fault Diagnosis. IEEE Trans. Neural Networks Learn. Syst. 34(2): 761-774 (2023)
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  [j16]
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    Dongyue Chen, Ruonan Liu, Qinghua Hu, Steven X. Ding:
    Interaction-Aware Graph Neural Networks for Fault Diagnosis of Complex Industrial Processes. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6015-6028 (2023)
• 2022
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  [j15]
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    Hao Chen, Ruonan Liu, Zongxia Xie, Qinghua Hu, Jianhua Dai, Junhai Zhai:
    Majorities help minorities: Hierarchical structure guided transfer learning for few-shot fault recognition. Pattern Recognit. 123: 108383 (2022)
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  [j14]
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    Yidan Hu, Ruonan Liu, Xianling Li, Dongyue Chen, Qinghua Hu:
    Task-Sequencing Meta Learning for Intelligent Few-Shot Fault Diagnosis With Limited Data. IEEE Trans. Ind. Informatics 18(6): 3894-3904 (2022)
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  [c5]
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    Zhenyu Deng, Te Han, Ruonan Liu, Fengyao Zhi:
    A fault diagnosis method in industrial processes with integrated feature space and optimized random forest. ISIE 2022: 1170-1173
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  [c4]
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    Jianghai Chen, Boyuan Yang, Ruonan Liu:
    Self-supervised Contrastive Learning Approach for Bearing Fault Diagnosis with Rare Labeled Data. ISIE 2022: 1190-1194
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  [c3]
  Di Lin, Xin Wang, Jia Shen, Renjie Zhang, Ruonan Liu, Miaohui Wang, Wuyuan Xie, Qing Guo, Ping Li:
  Generative Status Estimation and Information Decoupling for Image Rain Removal. NeurIPS 2022
• 2021
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  [j13]
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    Ruonan Liu, Run Xu:
    Hermite-Hadamard type inequalities for harmonical $ (h1, h2)- $convex interval-valued functions. Math. Found. Comput. 4(2): 89 (2021)
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  [j12]
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    Fei Wang, Ruonan Liu, Qinghua Hu, Xuefeng Chen:
    Cascade Convolutional Neural Network With Progressive Optimization for Motor Fault Diagnosis Under Nonstationary Conditions. IEEE Trans. Ind. Informatics 17(4): 2511-2521 (2021)
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  [j11]
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    Yu-Xuan Fu, Yanmei Kang, Ruonan Liu:
    Novel Bearing Fault Diagnosis Algorithm Based on the Method of Moments for Stochastic Resonant Systems. IEEE Trans. Instrum. Meas. 70: 1-10 (2021)
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  [c2]
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    Yan Yan, Yonghui Zhang, Jian Zhang, Ruonan Liu:
    Target detection algorithm based on CNN and its FPGA implementation. ICIAI 2021: 99-102
• 2020
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  [j10]
  Yizhong Xin, Ruonan Liu, Yan Li:
  Strategy for Improving Target Selection Accuracy in Indirect Touch Input. IEICE Trans. Inf. Syst. 103-D(7): 1703-1709 (2020)
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  [j9]
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    Ruonan Liu, Boyuan Yang, Alexander G. Hauptmann:
    Simultaneous Bearing Fault Recognition and Remaining Useful Life Prediction Using Joint-Loss Convolutional Neural Network. IEEE Trans. Ind. Informatics 16(1): 87-96 (2020)
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  [j8]
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    Ruonan Liu, Fei Wang, Boyuan Yang, Si-Zhao Joe Qin:
    Multiscale Kernel Based Residual Convolutional Neural Network for Motor Fault Diagnosis Under Nonstationary Conditions. IEEE Trans. Ind. Informatics 16(6): 3797-3806 (2020)

2010 – 2019

• 2019
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  [j7]
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    Lin Sun, Ruonan Liu, Jiucheng Xu, Shiguang Zhang:
    An Adaptive Density Peaks Clustering Method With Fisher Linear Discriminant. IEEE Access 7: 72936-72955 (2019)
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  [j6]
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    Ruonan Liu, Yanmei Kang, Yu-Xuan Fu, Guanrong Chen:
    Stochastic Resonance and Bifurcation of Order Parameter in a Coupled System of Underdamped Duffing Oscillators. Int. J. Bifurc. Chaos 29(8): 1950108:1-1950108:16 (2019)
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  [j5]
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    Boyuan Yang, Ruonan Liu, Enrico Zio:
    Remaining Useful Life Prediction Based on a Double-Convolutional Neural Network Architecture. IEEE Trans. Ind. Electron. 66(12): 9521-9530 (2019)
• 2018
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  [j4]
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    Lin Sun, Ruonan Liu, Jiucheng Xu, Shiguang Zhang, Yun Tian:
    An Affinity Propagation Clustering Method Using Hybrid Kernel Function With LLE. IEEE Access 6: 68892-68909 (2018)
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  [j3]
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    Boyuan Yang, Ruonan Liu, Xuefeng Chen:
    Sparse Time-Frequency Representation for Incipient Fault Diagnosis of Wind Turbine Drive Train. IEEE Trans. Instrum. Meas. 67(11): 2616-2627 (2018)
• 2017
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  [j2]
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    Ruonan Liu, Guotao Meng, Boyuan Yang, Chuang Sun, Xuefeng Chen:
    Dislocated Time Series Convolutional Neural Architecture: An Intelligent Fault Diagnosis Approach for Electric Machine. IEEE Trans. Ind. Informatics 13(3): 1310-1320 (2017)
• 
  [j1]
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    Boyuan Yang, Ruonan Liu, Xuefeng Chen:
    Fault Diagnosis for a Wind Turbine Generator Bearing via Sparse Representation and Shift-Invariant K-SVD. IEEE Trans. Ind. Informatics 13(3): 1321-1331 (2017)
• 2016
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  [c1]
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    Yanjie Guo, Xuefeng Chen, Shibin Wang, Xiang Li, Ruonan Liu:
    Fault diagnosis of wind turbine using local mean decomposition and synchrosqueezing transforms. I2MTC 2016: 1-6

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