Ruonan Liu
This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.
Bibliography
2026
StructBiHOI: Structured Articulation Modeling for Long-Horizon Bimanual Hand-Object Interaction Generation.
CoRR, March, 2026
IEEE Trans. Syst. Man Cybern. Syst., February, 2026
IEEE Trans Autom. Sci. Eng., 2026
Signal Process., 2026
Neural network-based practical prescribed time adaptive tracking control for nonlinear networked control systems under deception attacks.
Neural Networks, 2026
Agent Journey Beyond RGB: Hierarchical Semantic-Spatial Representation Enrichment for Vision-and-Language Navigation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
Causal Counterfactual Faithfulness Generation for Open-Set Fault Diagnosis of Complex Industrial Processes.
IEEE Trans. Ind. Informatics, December, 2025
IEEE Trans. Neural Networks Learn. Syst., September, 2025
IEEE Trans. Neural Networks Learn. Syst., August, 2025
Point-to-Set Metric-Gated Mixture of Experts for Multisource Domain Adaptation Fault Diagnosis.
IEEE Trans. Neural Networks Learn. Syst., August, 2025
CancerFusionPrompt: A Novel Framework for Multimodal Cancer Subtype Classification Using Vision-Language Model.
Expert Syst. J. Knowl. Eng., May, 2025
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., March, 2025
Causal Disentangled Graph Neural Network for Fault Diagnosis of Complex Industrial Process.
IEEE Trans. Ind. Informatics, January, 2025
Revealing Latent Information: A Physics-inspired Self-supervised Pre-training Framework for Noisy and Sparse Events.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025
CVLN-Think: Causal Inference with Counterfactual Style Adaptation for Continuous Vision-and-Language Navigation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025
PhysGCN-DL: Physics-Informed Graph Convolutional Networks with Diversity-Aware Loss Optimization for Multimodal Pedestrian Trajectory Prediction.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025
Causal Regularization Graph Attention Network for Stable Variables Decoupling and Fault Diagnosis of Complex Industrial Processes.
Proceedings of the 23rd IEEE International Conference on Industrial Informatics, 2025
Anomaly Detection of Marine Engines using Graph Network AutoEncoder with Multi-scale Feature Fusion.
Proceedings of the 23rd IEEE International Conference on Industrial Informatics, 2025
Map-SemNav: Advancing Zero-Shot Continuous Vision-and-Language Navigation Through Visual Semantics and Map Integration.
Proceedings of the IEEE International Conference on Robotics and Automation, 2025
VLN-KHVR: Knowledge-And-History Aware Visual Representation for Continuous Vision-and-Language Navigation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2025
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025
NoiseController: Towards Consistent Multi-View Video Generation via Noise Decomposition and Collaboration.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025
Proceedings of the 64th IEEE Conference on Decision and Control, 2025
2024
Bayesian Hierarchical Graph Neural Networks With Uncertainty Feedback for Trustworthy Fault Diagnosis of Industrial Processes.
IEEE Trans. Neural Networks Learn. Syst., December, 2024
Fault Detection of Unmanned Surface Vehicles: The Fuzzy Multiprocessor Implementation.
IEEE Trans. Fuzzy Syst., November, 2024
SMC-Based Bounded Consensus Tracking for Multiagent Systems Under Stochastic DoS Attacks With Applications to Multiple DC Motors.
IEEE Trans. Ind. Informatics, August, 2024
Exponential Stability of Impulsive Stochastic Neutral Neural Networks with Lévy Noise Under Non-Lipschitz Conditions.
Neural Process. Lett., August, 2024
Intelligent Bearing Anomaly Detection for Industrial Internet of Things Based on Auto-Encoder Wasserstein Generative Adversarial Network.
IEEE Internet Things J., July, 2024
Causal-Trivial Attention Graph Neural Network for Fault Diagnosis of Complex Industrial Processes.
IEEE Trans. Ind. Informatics, February, 2024
IEEE Trans. Image Process., 2024
Causal intervention graph neural network for fault diagnosis of complex industrial processes.
Reliab. Eng. Syst. Saf., 2024
Information-based Gradient enhanced Causal Learning Graph Neural Network for fault diagnosis of complex industrial processes.
Reliab. Eng. Syst. Saf., 2024
A log-based non-convex relaxation regularized regression for robust face recognition.
Inf. Sci., 2024
Fully automated diagnosis of thyroid nodule ultrasound using brain-inspired inference.
Neurocomputing, 2024
Simulation of E-learning in English personalized learning recommendation system based on Markov chain algorithm and adaptive learning algorithm.
Entertain. Comput., 2024
Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024
Proceedings of the 50th Annual Conference of the IEEE Industrial Electronics Society, 2024
Proceedings of the 8th IEEE International Conference on Vision, 2024
Proceedings of the 8th International Conference on Biomedical Engineering and Applications, 2024
Proceedings of the International Conference on Advanced Robotics and Mechatronics, 2024
2023
Online Handwritten Signature Verification Method Based on Uni-Feature Correlation Coefficient between Signatures.
Sensors, December, 2023
Interaction-Aware Graph Neural Networks for Fault Diagnosis of Complex Industrial Processes.
IEEE Trans. Neural Networks Learn. Syst., September, 2023
Coarse-to-Fine: Progressive Knowledge Transfer-Based Multitask Convolutional Neural Network for Intelligent Large-Scale Fault Diagnosis.
IEEE Trans. Neural Networks Learn. Syst., February, 2023
2022
Task-Sequencing Meta Learning for Intelligent Few-Shot Fault Diagnosis With Limited Data.
IEEE Trans. Ind. Informatics, 2022
Majorities help minorities: Hierarchical structure guided transfer learning for few-shot fault recognition.
Pattern Recognit., 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
A fault diagnosis method in industrial processes with integrated feature space and optimized random forest.
Proceedings of the 31st IEEE International Symposium on Industrial Electronics, 2022
Self-supervised Contrastive Learning Approach for Bearing Fault Diagnosis with Rare Labeled Data.
Proceedings of the 31st IEEE International Symposium on Industrial Electronics, 2022
2021
Novel Bearing Fault Diagnosis Algorithm Based on the Method of Moments for Stochastic Resonant Systems.
IEEE Trans. Instrum. Meas., 2021
Cascade Convolutional Neural Network With Progressive Optimization for Motor Fault Diagnosis Under Nonstationary Conditions.
IEEE Trans. Ind. Informatics, 2021
Hermite-Hadamard type inequalities for harmonical $ (h1, h2)- $convex interval-valued functions.
Math. Found. Comput., 2021
Proceedings of the ICIAI 2021: 2021 the 5th International Conference on Innovation in Artificial Intelligence, 2021
2020
Simultaneous Bearing Fault Recognition and Remaining Useful Life Prediction Using Joint-Loss Convolutional Neural Network.
IEEE Trans. Ind. Informatics, 2020
Multiscale Kernel Based Residual Convolutional Neural Network for Motor Fault Diagnosis Under Nonstationary Conditions.
IEEE Trans. Ind. Informatics, 2020
IEICE Trans. Inf. Syst., 2020
2019
Remaining Useful Life Prediction Based on a Double-Convolutional Neural Network Architecture.
IEEE Trans. Ind. Electron., 2019
Stochastic Resonance and Bifurcation of Order Parameter in a Coupled System of Underdamped Duffing Oscillators.
Int. J. Bifurc. Chaos, 2019
IEEE Access, 2019
2018
Sparse Time-Frequency Representation for Incipient Fault Diagnosis of Wind Turbine Drive Train.
IEEE Trans. Instrum. Meas., 2018
IEEE Access, 2018
2017
Fault Diagnosis for a Wind Turbine Generator Bearing via Sparse Representation and Shift-Invariant K-SVD.
IEEE Trans. Ind. Informatics, 2017
Dislocated Time Series Convolutional Neural Architecture: An Intelligent Fault Diagnosis Approach for Electric Machine.
IEEE Trans. Ind. Informatics, 2017
2016
Fault diagnosis of wind turbine using local mean decomposition and synchrosqueezing transforms.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2016