Fault diagnosis of wind turbine using local mean decomposition and synchrosqueezing transforms. - Yanjie Guo; Xuefeng Chen 002; Shibin Wang; Xiang Li 005; Ruonan Liu (I2MTC, 2016)

Dislocated Time Series Convolutional Neural Architecture: An Intelligent Fault Diagnosis Approach for Electric Machine. - Ruonan Liu; Guotao Meng; Boyuan Yang 002; Chuang Sun 001; Xuefeng Chen 002 (IEEE Trans. Ind. Informatics, 2017)

Fault Diagnosis for a Wind Turbine Generator Bearing via Sparse Representation and Shift-Invariant K-SVD. - Boyuan Yang 002; Ruonan Liu; Xuefeng Chen 002 (IEEE Trans. Ind. Informatics, 2017)

An Affinity Propagation Clustering Method Using Hybrid Kernel Function With LLE. - Lin Sun 002; Ruonan Liu; Jiucheng Xu; Shiguang Zhang; Yun Tian 002 (IEEE Access, 2018)

Sparse Time-Frequency Representation for Incipient Fault Diagnosis of Wind Turbine Drive Train. - Boyuan Yang 002; Ruonan Liu; Xuefeng Chen 002 (IEEE Trans. Instrum. Meas., 2018)

An Adaptive Density Peaks Clustering Method With Fisher Linear Discriminant. - Lin Sun 002; Ruonan Liu; Jiucheng Xu; Shiguang Zhang (IEEE Access, 2019)

Stochastic Resonance and Bifurcation of Order Parameter in a Coupled System of Underdamped Duffing Oscillators. - Ruonan Liu; Yanmei Kang; Yu-Xuan Fu; Guanrong Chen (Int. J. Bifurc. Chaos, 2019)

Remaining Useful Life Prediction Based on a Double-Convolutional Neural Network Architecture. - Boyuan Yang 002; Ruonan Liu; Enrico Zio (IEEE Trans. Ind. Electron., 2019)

Strategy for Improving Target Selection Accuracy in Indirect Touch Input. - Yizhong Xin; Ruonan Liu; Yan Li 112 (IEICE Trans. Inf. Syst., 2020)

Multiscale Kernel Based Residual Convolutional Neural Network for Motor Fault Diagnosis Under Nonstationary Conditions. - Ruonan Liu; Fei Wang 037; Boyuan Yang 002; Si-Zhao Joe Qin (IEEE Trans. Ind. Informatics, 2020)

Simultaneous Bearing Fault Recognition and Remaining Useful Life Prediction Using Joint-Loss Convolutional Neural Network. - Ruonan Liu; Boyuan Yang 002; Alexander G. Hauptmann (IEEE Trans. Ind. Informatics, 2020)

Target detection algorithm based on CNN and its FPGA implementation. - Yan Yan; Yonghui Zhang; Jian Zhang; Ruonan Liu (ICIAI, 2021)

Hermite-Hadamard type inequalities for harmonical $ (h1, h2)- $convex interval-valued functions. - Ruonan Liu; Run Xu (Math. Found. Comput., 2021)

Cascade Convolutional Neural Network With Progressive Optimization for Motor Fault Diagnosis Under Nonstationary Conditions. - Fei Wang 037; Ruonan Liu; Qinghua Hu; Xuefeng Chen 002 (IEEE Trans. Ind. Informatics, 2021)

Novel Bearing Fault Diagnosis Algorithm Based on the Method of Moments for Stochastic Resonant Systems. - Yu-Xuan Fu; Yanmei Kang; Ruonan Liu (IEEE Trans. Instrum. Meas., 2021)

Self-supervised Contrastive Learning Approach for Bearing Fault Diagnosis with Rare Labeled Data. - Jianghai Chen; Boyuan Yang 002; Ruonan Liu (ISIE, 2022)

A fault diagnosis method in industrial processes with integrated feature space and optimized random forest. - Zhenyu Deng; Te Han; Ruonan Liu; Fengyao Zhi (ISIE, 2022)

Generative Status Estimation and Information Decoupling for Image Rain Removal. - Di Lin 002; Xin Wang 118; Jia Shen; Renjie Zhang; Ruonan Liu; Miaohui Wang; Wuyuan Xie; Qing Guo 005; Ping Li 016 (NeurIPS, 2022)

Majorities help minorities: Hierarchical structure guided transfer learning for few-shot fault recognition. - Hao Chen; Ruonan Liu; Zongxia Xie; Qinghua Hu; Jianhua Dai; Junhai Zhai (Pattern Recognit., 2022)

Task-Sequencing Meta Learning for Intelligent Few-Shot Fault Diagnosis With Limited Data. - Yidan Hu; Ruonan Liu; Xianling Li; Dongyue Chen; Qinghua Hu (IEEE Trans. Ind. Informatics, 2022)

Coarse-to-Fine: Progressive Knowledge Transfer-Based Multitask Convolutional Neural Network for Intelligent Large-Scale Fault Diagnosis. - Yu Wang 106; Ruonan Liu; Di Lin 002; Dongyue Chen; Ping Li 016; Qinghua Hu; C. L. Philip Chen (IEEE Trans. Neural Networks Learn. Syst., 2023)

Interaction-Aware Graph Neural Networks for Fault Diagnosis of Complex Industrial Processes. - Dongyue Chen; Ruonan Liu; Qinghua Hu; Steven X. Ding (IEEE Trans. Neural Networks Learn. Syst., 2023)

Online Handwritten Signature Verification Method Based on Uni-Feature Correlation Coefficient between Signatures. - Ruonan Liu; Yizhong Xin (Sensors, 2023)

RewardVLN: AnImproved Agent Navigation Based On Visual-Instruction Alignment. - Ruonan Liu; Ping Kong; Shuai Wu; Weidong Zhang 004 (ICARM, 2024)

Conductive adhesion antifreeze hydrogel sensor for monitoring human motion. - Ruonan Liu; Yiying Liu; Jingtong Ma; Simian Fu; Yugui Cheng; Ye Tian (ICBEA, 2024)

Rectified Flow-Based Generative Transfer Learning for System Fault Diagnosis. - Ruonan Liu; Shuai Wu; Qiming Liu; Dongsheng Guo 001; Weidong Zhang 004 (ICVISP, 2024)

Dynamic Confusion-Aware Correlation Network for Cross-Domain Fault Diagnosis. - Jinyuan Zhang; Boyuan Yang 002; Ruonan Liu (IECON, 2024)

Multiple Visual Features in Topological Map for Vision-and-Language Navigation. - Ruonan Liu; Ping Kong; Weidong Zhang 004 (IROS, 2024)

Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion. - Lubo Wang; Di Lin 002; Kairui Yang; Ruonan Liu; Qing Guo 005; Wuyuan Xie; Miaohui Wang; Lingyu Liang; Yi Wang; Ping Li 016 (NeurIPS, 2024)

MotionGS : Compact Gaussian Splatting SLAM by Motion Filter. - Xinli Guo; Weidong Zhang 004; Ruonan Liu; Peng Han 007; Hongtian Chen (CoRR, 2024)

Simulation of E-learning in English personalized learning recommendation system based on Markov chain algorithm and adaptive learning algorithm. - Ruonan Liu (Entertain. Comput., 2024)

Fully automated diagnosis of thyroid nodule ultrasound using brain-inspired inference. - Guanghui Li 005; Qinghua Huang; Chunying Liu; Guanying Wang; Lingli Guo; Ruonan Liu; Longzhong Liu (Neurocomputing, 2024)

A log-based non-convex relaxation regularized regression for robust face recognition. - Ruonan Liu; Yitian Xu (Inf. Sci., 2024)

Information-based Gradient enhanced Causal Learning Graph Neural Network for fault diagnosis of complex industrial processes. - Ruonan Liu; Yunfei Xie; Di Lin 002; Weidong Zhang 004; Steven X. Ding (Reliab. Eng. Syst. Saf., 2024)

Causal intervention graph neural network for fault diagnosis of complex industrial processes. - Ruonan Liu; Quanhu Zhang; Di Lin 002; Weidong Zhang 004; Steven X. Ding (Reliab. Eng. Syst. Saf., 2024)

Explainability Enhanced Object Detection Transformer With Feature Disentanglement. - Wenlong Yu; Ruonan Liu; Dongyue Chen; Qinghua Hu (IEEE Trans. Image Process., 2024)

Causal-Trivial Attention Graph Neural Network for Fault Diagnosis of Complex Industrial Processes. - Hao Wang; Ruonan Liu; Steven X. Ding; Qinghua Hu; Zengxiang Li; Hongkuan Zhou (IEEE Trans. Ind. Informatics, 2024)

Intelligent Bearing Anomaly Detection for Industrial Internet of Things Based on Auto-Encoder Wasserstein Generative Adversarial Network. - Ruonan Liu; Dong Xiao; Di Lin 002; Weidong Zhang 004 (IEEE Internet Things J., 2024)

Exponential Stability of Impulsive Stochastic Neutral Neural Networks with Lévy Noise Under Non-Lipschitz Conditions. - Shuo Ma; Jiangman Li; Ruonan Liu; Qiang Li (Neural Process. Lett., 2024)

SMC-Based Bounded Consensus Tracking for Multiagent Systems Under Stochastic DoS Attacks With Applications to Multiple DC Motors. - Peng Cheng 010; Shengwang Ye; Ruonan Liu; Shuping He; Weidong Zhang 004 (IEEE Trans. Ind. Informatics, 2024)

Fault Detection of Unmanned Surface Vehicles: The Fuzzy Multiprocessor Implementation. - Xiang Zhang; Shuping He; Zhihuan Hu; Ruonan Liu; Hongtian Chen; Weidong Zhang 004 (IEEE Trans. Fuzzy Syst., 2024)

Bayesian Hierarchical Graph Neural Networks With Uncertainty Feedback for Trustworthy Fault Diagnosis of Industrial Processes. - Dongyue Chen; Zongxia Xie; Ruonan Liu; Wenlong Yu; Qinghua Hu; Xianling Li; Steven X. Ding (IEEE Trans. Neural Networks Learn. Syst., 2024)

Causal Disentangled Graph Neural Network for Fault Diagnosis of Complex Industrial Process. - Ruonan Liu; Quanhu Zhang; Di Lin 002; Weidong Zhang 004; Steven X. Ding (IEEE Trans. Ind. Informatics, 2025)

Observer-Based Adaptive NN Tracking Control for Nonlinear NCSs Under Intermittent DoS Attacks: A Finite-Time Prescribed Performance Method. - Guangdeng Zong; Ruonan Liu; Hongzhen Xie; Yudi Wang; Xudong Zhao 001 (IEEE Trans. Syst. Man Cybern. Syst., 2025)

NoiseController: Towards Consistent Multi-view Video Generation via Noise Decomposition and Collaboration. - Haotian Dong; Xin Wang 118; Di Lin 002; Yipeng Wu; Qin Chen; Ruonan Liu; Kairui Yang; Ping Li 016; Qing Guo 005 (CoRR, 2025)

CancerFusionPrompt: A Novel Framework for Multimodal Cancer Subtype Classification Using Vision-Language Model. - Ruonan Liu; Muhammad Ayoub; Junaid Abdul Wahid (Expert Syst. J. Knowl. Eng., 2025)

Revealing Latent Information: A Physics-inspired Self-supervised Pre-training Framework for Noisy and Sparse Events. - Lin Zhu; Ruonan Liu; Xiao Wang; Lizhi Wang; Hua Huang (CoRR, 2025)

Point-to-Set Metric-Gated Mixture of Experts for Multisource Domain Adaptation Fault Diagnosis. - Boyuan Yang 002; Jinyuan Zhang; Ruonan Liu; Di Lin 002; Ping Li 016; C. L. Philip Chen (IEEE Trans. Neural Networks Learn. Syst., 2025)

Temporal-Interim Pose Synthesis and Distillation for Dynamic Human Pose Estimation. - Renjie Zhang; Di Lin 002; Xin Wang 118; Ruonan Liu; Bin Sheng 001; George Baciu; C. L. Philip Chen; Ping Li 016 (IEEE Trans. Neural Networks Learn. Syst., 2025)