Ruonan Liu - RankMe

67 papers A* 7A 3C 3Journal 46Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Agent Journey Beyond RGB: Hierarchical Semantic-Spatial Representation Enrichment for Vision-and-Language Navigation. AAAI Xuesong Zhang, Yunbo Xu, Jia Li, Ruonan Liu, Zhenzhen Hu
2026	J	`jnl`	Event-Triggered Zero-Sum Game for Safety Control of Autonomous Surface Vehicles. IEEE Trans. Syst. Man Cybern. Syst. Shukang Chen, Shan Xue, Ruonan Liu, Zhihuan Hu, Weidong Zhang
2026	A*	`conf`	FreeMem: Enhancing Consistency in Long Video Generation via Tuning-Free Memory. AAAI Jibin Peng, Di Lin, Zhecheng Xu, Haoran Lu, Ruonan Liu, Wuyuan Xie, Miaohui Wang, Lingyu Liang, Yi Wang, Qing Guo
2026	J	`jnl`	GA-Assisted Event-Triggered Fault Detection for Networked Systems Under DoS Attacks. IEEE Trans Autom. Sci. Eng. Jiangming Xu, Xiang Zhang, Jun Cheng, Ruonan Liu, Weidong Zhang
2026	J	`jnl`	MotionAnymesh: Physics-Grounded Articulation for Simulation-Ready Digital Twins. CoRR Wenbo Xu, Liu Liu, Li Zhang, Dan Guo, Ruonan Liu
2026	J	`jnl`	Neural network-based practical prescribed time adaptive tracking control for nonlinear networked control systems under deception attacks. Neural Networks Ruonan Liu, Guangdeng Zong, Xudong Zhao, Wencheng Wang
2026	J	`jnl`	StructBiHOI: Structured Articulation Modeling for Long-Horizon Bimanual Hand-Object Interaction Generation. CoRR Zhi Wang, Liu Liu, Ruonan Liu, Dan Guo, Meng Wang
2025	C	`conf`	Anomaly Detection of Marine Engines using Graph Network AutoEncoder with Multi-scale Feature Fusion. INDIN Tong Ge, Siheng Zhao, Shifei Ma, Ruonan Liu
2025	A	`conf`	CVLN-Think: Causal Inference with Counterfactual Style Adaptation for Continuous Vision-and-Language Navigation. IROS Ruonan Liu, Shuai Wu, Di Lin, Weidong Zhang
2025	J	`jnl`	CancerFusionPrompt: A Novel Framework for Multimodal Cancer Subtype Classification Using Vision-Language Model. Expert Syst. J. Knowl. Eng. Ruonan Liu, Muhammad Ayoub, Junaid Abdul Wahid
2025	J	`jnl`	Causal Counterfactual Faithfulness Generation for Open-Set Fault Diagnosis of Complex Industrial Processes. IEEE Trans. Ind. Informatics Ruonan Liu, Puyuan Hu, Siheng Zhao, Di Lin, Weidong Zhang, Steven X. Ding
2025	J	`jnl`	Causal Disentangled Graph Neural Network for Fault Diagnosis of Complex Industrial Process. IEEE Trans. Ind. Informatics Ruonan Liu, Quanhu Zhang, Di Lin, Weidong Zhang, Steven X. Ding
2025	C	`conf`	Causal Regularization Graph Attention Network for Stable Variables Decoupling and Fault Diagnosis of Complex Industrial Processes. INDIN Ruonan Liu, Puyuan Hu, Siheng Zhao, Shifei Ma, Di Lin, Weidong Zhang
2025	—	`conf`	Efficient Inverse Reinforcement Learning for Unknown Discrete-Time Systems. CDC Longyang Huang, Ruonan Liu, Zehua Jia, Weidong Zhang
2025	J	`jnl`	Learning Dexterous Manipulation with Quantized Hand State. CoRR Ying Feng, Hongjie Fang, Yinong He, Jingjing Chen, Chenxi Wang, Zihao He, Ruonan Liu, Cewu Lu
2025	A*	`conf`	Map-SemNav: Advancing Zero-Shot Continuous Vision-and-Language Navigation Through Visual Semantics and Map Integration. ICRA Shuai Wu, Ruonan Liu, Zongxia Xie, Zhibo Pang
2025	J	`jnl`	NoiseController: Towards Consistent Multi-view Video Generation via Noise Decomposition and Collaboration. CoRR Haotian Dong, Xin Wang, Di Lin, Yipeng Wu, Qin Chen, Ruonan Liu, Kairui Yang, Ping Li, Qing Guo
2025	J	`jnl`	OR-Gate Mixup Multiscale Spectral Graph Neural Network for Node Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. Zekang Li, Ruonan Liu, Dongyue Chen, Qinghua Hu
2025	J	`jnl`	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. Guangdeng Zong, Ruonan Liu, Hongzhen Xie, Yudi Wang, Xudong Zhao
2025	A	`conf`	PhysGCN-DL: Physics-Informed Graph Convolutional Networks with Diversity-Aware Loss Optimization for Multimodal Pedestrian Trajectory Prediction. IROS Zihan Jiang, Ruonan Liu, Yibo Zhou, Haibo Lu, Boyuan Yang, Di Lin, Weidong Zhang
2025	J	`jnl`	Point-to-Set Metric-Gated Mixture of Experts for Multisource Domain Adaptation Fault Diagnosis. IEEE Trans. Neural Networks Learn. Syst. Boyuan Yang, Jinyuan Zhang, Ruonan Liu, Di Lin, Ping Li, C. L. Philip Chen
2025	A*	`conf`	Revealing Latent Information: A Physics-inspired Self-supervised Pre-training Framework for Noisy and Sparse Events. ACM Multimedia Lin Zhu, Ruonan Liu, Xiao Wang, Lizhi Wang, Hua Huang
2025	J	`jnl`	Revealing Latent Information: A Physics-inspired Self-supervised Pre-training Framework for Noisy and Sparse Events. CoRR Lin Zhu, Ruonan Liu, Xiao Wang, Lizhi Wang, Hua Huang
2025	J	`jnl`	Temporal-Interim Pose Synthesis and Distillation for Dynamic Human Pose Estimation. IEEE Trans. Neural Networks Learn. Syst. Renjie Zhang, Di Lin, Xin Wang, Ruonan Liu, Bin Sheng, George Baciu, C. L. Philip Chen, Ping Li
2025	A*	`conf`	VLN-KHVR: Knowledge-And-History Aware Visual Representation for Continuous Vision-and-Language Navigation. ICRA Ping Kong, Ruonan Liu, Zongxia Xie, Zhibo Pang
2024	J	`jnl`	A log-based non-convex relaxation regularized regression for robust face recognition. Inf. Sci. Ruonan Liu, Yitian Xu
2024	J	`jnl`	Bayesian Hierarchical Graph Neural Networks With Uncertainty Feedback for Trustworthy Fault Diagnosis of Industrial Processes. IEEE Trans. Neural Networks Learn. Syst. Dongyue Chen, Zongxia Xie, Ruonan Liu, Wenlong Yu, Qinghua Hu, Xianling Li, Steven X. Ding
2024	J	`jnl`	Causal intervention graph neural network for fault diagnosis of complex industrial processes. Reliab. Eng. Syst. Saf. Ruonan Liu, Quanhu Zhang, Di Lin, Weidong Zhang, Steven X. Ding
2024	J	`jnl`	Causal-Trivial Attention Graph Neural Network for Fault Diagnosis of Complex Industrial Processes. IEEE Trans. Ind. Informatics Hao Wang, Ruonan Liu, Steven X. Ding, Qinghua Hu, Zengxiang Li, Hongkuan Zhou
2024	—	`conf`	Conductive adhesion antifreeze hydrogel sensor for monitoring human motion. ICBEA Ruonan Liu, Yiying Liu, Jingtong Ma, Simian Fu, Yugui Cheng, Ye Tian
2024	C	`conf`	Dynamic Confusion-Aware Correlation Network for Cross-Domain Fault Diagnosis. IECON Jinyuan Zhang, Boyuan Yang, Ruonan Liu
2024	J	`jnl`	Explainability Enhanced Object Detection Transformer With Feature Disentanglement. IEEE Trans. Image Process. Wenlong Yu, Ruonan Liu, Dongyue Chen, Qinghua Hu
2024	J	`jnl`	Exponential Stability of Impulsive Stochastic Neutral Neural Networks with Lévy Noise Under Non-Lipschitz Conditions. Neural Process. Lett. Shuo Ma, Jiangman Li, Ruonan Liu, Qiang Li
2024	J	`jnl`	Fault Detection of Unmanned Surface Vehicles: The Fuzzy Multiprocessor Implementation. IEEE Trans. Fuzzy Syst. Xiang Zhang, Shuping He, Zhihuan Hu, Ruonan Liu, Hongtian Chen, Weidong Zhang
2024	J	`jnl`	Fully automated diagnosis of thyroid nodule ultrasound using brain-inspired inference. Neurocomputing Guanghui Li, Qinghua Huang, Chunying Liu, Guanying Wang, Lingli Guo, Ruonan Liu, Longzhong Liu
2024	J	`jnl`	Information-based Gradient enhanced Causal Learning Graph Neural Network for fault diagnosis of complex industrial processes. Reliab. Eng. Syst. Saf. Ruonan Liu, Yunfei Xie, Di Lin, Weidong Zhang, Steven X. Ding
2024	J	`jnl`	Intelligent Bearing Anomaly Detection for Industrial Internet of Things Based on Auto-Encoder Wasserstein Generative Adversarial Network. IEEE Internet Things J. Ruonan Liu, Dong Xiao, Di Lin, Weidong Zhang
2024	J	`jnl`	MotionGS : Compact Gaussian Splatting SLAM by Motion Filter. CoRR Xinli Guo, Weidong Zhang, Ruonan Liu, Peng Han, Hongtian Chen
2024	A	`conf`	Multiple Visual Features in Topological Map for Vision-and-Language Navigation. IROS Ruonan Liu, Ping Kong, Weidong Zhang
2024	—	`conf`	Rectified Flow-Based Generative Transfer Learning for System Fault Diagnosis. ICVISP Ruonan Liu, Shuai Wu, Qiming Liu, Dongsheng Guo, Weidong Zhang
2024	—	`conf`	RewardVLN: AnImproved Agent Navigation Based On Visual-Instruction Alignment. ICARM Ruonan Liu, Ping Kong, Shuai Wu, Weidong Zhang
2024	J	`jnl`	SMC-Based Bounded Consensus Tracking for Multiagent Systems Under Stochastic DoS Attacks With Applications to Multiple DC Motors. IEEE Trans. Ind. Informatics Peng Cheng, Shengwang Ye, Ruonan Liu, Shuping He, Weidong Zhang
2024	J	`jnl`	Simulation of E-learning in English personalized learning recommendation system based on Markov chain algorithm and adaptive learning algorithm. Entertain. Comput. Ruonan Liu
2024	A*	`conf`	Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion. NeurIPS Lubo Wang, Di Lin, Kairui Yang, Ruonan Liu, Qing Guo, Wuyuan Xie, Miaohui Wang, Lingyu Liang, Yi Wang, Ping Li
2023	J	`jnl`	Coarse-to-Fine: Progressive Knowledge Transfer-Based Multitask Convolutional Neural Network for Intelligent Large-Scale Fault Diagnosis. IEEE Trans. Neural Networks Learn. Syst. Yu Wang, Ruonan Liu, Di Lin, Dongyue Chen, Ping Li, Qinghua Hu, C. L. Philip Chen
2023	J	`jnl`	Interaction-Aware Graph Neural Networks for Fault Diagnosis of Complex Industrial Processes. IEEE Trans. Neural Networks Learn. Syst. Dongyue Chen, Ruonan Liu, Qinghua Hu, Steven X. Ding
2023	J	`jnl`	Online Handwritten Signature Verification Method Based on Uni-Feature Correlation Coefficient between Signatures. Sensors Ruonan Liu, Yizhong Xin
2022	—	`conf`	A fault diagnosis method in industrial processes with integrated feature space and optimized random forest. ISIE Zhenyu Deng, Te Han, Ruonan Liu, Fengyao Zhi
2022	A*	`conf`	Generative Status Estimation and Information Decoupling for Image Rain Removal. NeurIPS Di Lin, Xin Wang, Jia Shen, Renjie Zhang, Ruonan Liu, Miaohui Wang, Wuyuan Xie, Qing Guo, Ping Li
2022	J	`jnl`	Majorities help minorities: Hierarchical structure guided transfer learning for few-shot fault recognition. Pattern Recognit. Hao Chen, Ruonan Liu, Zongxia Xie, Qinghua Hu, Jianhua Dai, Junhai Zhai
2022	—	`conf`	Self-supervised Contrastive Learning Approach for Bearing Fault Diagnosis with Rare Labeled Data. ISIE Jianghai Chen, Boyuan Yang, Ruonan Liu
2022	J	`jnl`	Task-Sequencing Meta Learning for Intelligent Few-Shot Fault Diagnosis With Limited Data. IEEE Trans. Ind. Informatics Yidan Hu, Ruonan Liu, Xianling Li, Dongyue Chen, Qinghua Hu
2021	J	`jnl`	Cascade Convolutional Neural Network With Progressive Optimization for Motor Fault Diagnosis Under Nonstationary Conditions. IEEE Trans. Ind. Informatics Fei Wang, Ruonan Liu, Qinghua Hu, Xuefeng Chen
2021	J	`jnl`	Hermite-Hadamard type inequalities for harmonical $ (h1, h2)- $convex interval-valued functions. Math. Found. Comput. Ruonan Liu, Run Xu
2021	J	`jnl`	Novel Bearing Fault Diagnosis Algorithm Based on the Method of Moments for Stochastic Resonant Systems. IEEE Trans. Instrum. Meas. Yu-Xuan Fu, Yanmei Kang, Ruonan Liu
2021	—	`conf`	Target detection algorithm based on CNN and its FPGA implementation. ICIAI Yan Yan, Yonghui Zhang, Jian Zhang, Ruonan Liu
2020	J	`jnl`	Multiscale Kernel Based Residual Convolutional Neural Network for Motor Fault Diagnosis Under Nonstationary Conditions. IEEE Trans. Ind. Informatics Ruonan Liu, Fei Wang, Boyuan Yang, Si-Zhao Joe Qin
2020	J	`jnl`	Simultaneous Bearing Fault Recognition and Remaining Useful Life Prediction Using Joint-Loss Convolutional Neural Network. IEEE Trans. Ind. Informatics Ruonan Liu, Boyuan Yang, Alexander G. Hauptmann
2020	J	`jnl`	Strategy for Improving Target Selection Accuracy in Indirect Touch Input. IEICE Trans. Inf. Syst. Yizhong Xin, Ruonan Liu, Yan Li
2019	J	`jnl`	An Adaptive Density Peaks Clustering Method With Fisher Linear Discriminant. IEEE Access Lin Sun, Ruonan Liu, Jiucheng Xu, Shiguang Zhang
2019	J	`jnl`	Remaining Useful Life Prediction Based on a Double-Convolutional Neural Network Architecture. IEEE Trans. Ind. Electron. Boyuan Yang, Ruonan Liu, Enrico Zio
2019	J	`jnl`	Stochastic Resonance and Bifurcation of Order Parameter in a Coupled System of Underdamped Duffing Oscillators. Int. J. Bifurc. Chaos Ruonan Liu, Yanmei Kang, Yu-Xuan Fu, Guanrong Chen
2018	J	`jnl`	An Affinity Propagation Clustering Method Using Hybrid Kernel Function With LLE. IEEE Access Lin Sun, Ruonan Liu, Jiucheng Xu, Shiguang Zhang, Yun Tian
2018	J	`jnl`	Sparse Time-Frequency Representation for Incipient Fault Diagnosis of Wind Turbine Drive Train. IEEE Trans. Instrum. Meas. Boyuan Yang, Ruonan Liu, Xuefeng Chen
2017	J	`jnl`	Dislocated Time Series Convolutional Neural Architecture: An Intelligent Fault Diagnosis Approach for Electric Machine. IEEE Trans. Ind. Informatics Ruonan Liu, Guotao Meng, Boyuan Yang, Chuang Sun, Xuefeng Chen
2017	J	`jnl`	Fault Diagnosis for a Wind Turbine Generator Bearing via Sparse Representation and Shift-Invariant K-SVD. IEEE Trans. Ind. Informatics Boyuan Yang, Ruonan Liu, Xuefeng Chen
2016	—	`conf`	Fault diagnosis of wind turbine using local mean decomposition and synchrosqueezing transforms. I2MTC Yanjie Guo, Xuefeng Chen, Shibin Wang, Xiang Li, Ruonan Liu