Publications

* Corresponding Author(s)

2024

  1. NeurIPS
    Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion
    Lubo Wang , Di Lin , Kairui Yang ,  Ruonan Liu* , Qing Guo , and Wuyuan Xie
    Advances in Neural Information Processing Systems, 2024
    PDF
  2. TIP
    Explainability Enhanced Object Detection Transformer with Feature Disentanglement
    Wenlong Yu ,  Ruonan Liu* , Dongyue Chen , and Qinghua Hu
    IEEE Transactions on Image Processing, 2024
    PDF
  3. RELIAB ENG SYST SAFE
    Information-based Gradient Enhanced Causal Learning Graph Neural Network for Fault Diagnosis of Complex Industrial Processes
    Ruonan Liu , Yunfei Xie , Di Lin , Weidong Zhang , and Steven X Ding
    Reliability Engineering & System Safety, 2024
    PDF
  4. IEEE T FUZZY SYST
    Fault Detection of Unmanned Surface Vehicles: The Fuzzy Multi-Processor Implementation
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    IEEE Transactions on Fuzzy Systems, 2024
    PDF
  5. IROS
    Multiple Visual Features in Topological Map for Vision-and-Language Navigation
    Ruonan Liu , Ping Kong , and Weidong Zhang
    In 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (Oral) , 2024
    PDF
  6. IJCAI
    Improved VLN-BERT with Reinforcing Endpoint Alignment for Vision-and-Language Navigation
    Chuan Jin , Boyuan Yang , and  Ruonan Liu
    In International Joint Conference on Artificial Intelligence (Runner-up Paper Award) , 2024
    PDF
  7. ICARM
    RewardVLN: An Improved Agent Navigation Based On Visual-Instruction Alignment
    Ruonan Liu , Ping Kong , Shuai Wu , and Weidong Zhang
    The IEEE International Conference on Advanced Robotics and Mechatronics (Best Paper Award Finalist) , 2024
    PDF
  8. TII
    Causal Disentangled Graph Neural Network for Fault Diagnosis of Complex Industrial Process
    Ruonan Liu , Quanhu Zhang , Di Lin , Weidong Zhang , and Steven X Ding
    IEEE Transactions on Industrial Informatics, 2024
    PDF
  9. TICPS
    Survey on Foundation Models for Prognostics and Health Management in Industrial Cyber-Physical Systems
    Ruonan Liu , Quanhu Zhang , Te Han , Boyuan Yang , Weidong Zhang , Shen Yin , and Donghua Zhou
    IEEE Transactions on Industrial Cyber-Physical Systems, 2024
    PDF
  10. RELIAB ENG SYST SAFE
    Causal intervention graph neural network for fault diagnosis of complex industrial processes
    Ruonan Liu , Quanhu Zhang , Di Lin , Weidong Zhang , and Steven X Ding
    Reliability Engineering & System Safety, 2024
    PDF
  11. TII
    SMC-Based Bounded Consensus Tracking for Multiagent Systems Under Stochastic DoS Attacks With Applications to Multiple DC Motors
    Peng Cheng , Shengwang Ye ,  Ruonan Liu , Shuping He , and Weidong Zhang
    IEEE Transactions on Industrial Informatics, 2024
    PDF
  12. IEEE INTERNET THINGS
    Intelligent Bearing Anomaly Detection for Industrial Internet of Things Based on Auto-Encoder Wasserstein Generative Adversarial Network
    Ruonan Liu , Dong Xiao , Di Lin , and Weidong Zhang
    IEEE Internet of Things Journal, 2024
    PDF

2023

  1. TICPS
    Industrial Big Data Analytical System in Industrial Cyber-Physical Systems Based on Coarse-to-Fine Deep Network
    Ruonan Liu , Quanhu Zhang , Yu Wang , Zengxiang Li , Dongyue Chen , Steven X Ding , Qinghua Hu , and Boyuan Yang
    IEEE Transactions on Industrial Cyber-Physical Systems, 2023
    PDF
  2. TII
    Causal-trivial attention graph neural network for fault diagnosis of complex industrial processes
    Hao Wang ,  Ruonan Liu* , Steven X Ding , Qinghua Hu , Zengxiang Li , and Hongkuan Zhou
    IEEE Transactions on Industrial Informatics, 2023
    PDF

2022

  1. NeurIPS
    Generative status estimation and information decoupling for image rain removal
    Di Lin , WANG Xin , Jia Shen , Renjie Zhang ,  Ruonan Liu , Miaohui Wang , Wuyuan Xie , Qing Guo , and Ping Li
    Advances in Neural Information Processing Systems, 2022
    PDF
  2. PR
    Majorities help minorities: Hierarchical structure guided transfer learning for few-shot fault recognition
    Hao Chen ,  Ruonan Liu* , Zongxia Xie , Qinghua Hu , Jianhua Dai , and Junhai Zhai
    Pattern Recognition, 2022
    PDF

2021

  1. TNNLS
    Interaction-aware graph neural networks for fault diagnosis of complex industrial processes
    Dongyue Chen ,  Ruonan Liu* , Qinghua Hu , and Steven X Ding
    IEEE Transactions on neural networks and learning systems (ESI, Hot Paper) , 2021
    PDF
  2. TII
    Task-sequencing meta learning for intelligent few-shot fault diagnosis with limited data
    Yidan Hu ,  Ruonan Liu* , Xianling Li , Dongyue Chen , and Qinghua Hu
    IEEE Transactions on Industrial Informatics, 2021
    PDF
  3. TNNLS
    Coarse-to-fine: Progressive knowledge transfer-based multitask convolutional neural network for intelligent large-scale fault diagnosis
    Yu Wang ,  Ruonan Liu* , Di Lin , Dongyue Chen , Ping Li , Qinghua Hu , and CL Philip Chen
    IEEE Transactions on Neural Networks and Learning Systems, 2021
    PDF
  4. ACAIT
    Fault Diagnosis of Industrial Control System With Graph Attention Network on Multi-view Graph
    Dongyue Chen ,  Ruonan Liu* , Wenlong Yu , Kai Zhang , Yusheng Pu , and Di Cao
    In 2021 5th Asian Conference on Artificial Intelligence Technology (ACAIT), 2021
    PDF
  5. ACAIT
    Synthesize missing modality based on latent space model
    Kai Zhang ,  Ruonan Liu* , Dongyue Chen , Wenlong Yu , Yusheng Pu , and Di Cao
    In 2021 5th Asian Conference on Artificial Intelligence Technology (ACAIT), 2021
    PDF
  6. ACAIT
    POC: Periodical Orthogonal Center Loss For Open Set Classification
    Yusheng Pu ,  Ruonan Liu* , Qiang Chen , Dongyue Chen , Wenlong Yu , and Di Cao
    In 2021 5th Asian Conference on Artificial Intelligence Technology (ACAIT), 2021
    PDF

2020

  1. TII
    Cascade convolutional neural network with progressive optimization for motor fault diagnosis under nonstationary conditions
    Fei Wang ,  Ruonan Liu* , Qinghua Hu , and Xuefeng Chen
    IEEE Transactions on Industrial Informatics, 2020
    PDF

2019

  1. TII
    Multiscale kernel based residual convolutional neural network for motor fault diagnosis under nonstationary conditions
    Ruonan Liu , Fei Wang , Boyuan Yang , and S Joe Qin
    IEEE Transactions on Industrial Informatics (ESI) , 2019
    PDF
  2. TIE
    Remaining useful life prediction based on a double-convolutional neural network architecture
    Boyuan Yang ,  Ruonan Liu* , and Enrico Zio
    IEEE Transactions on Industrial Electronics (ESI) , 2019
    PDF
  3. TII
    Simultaneous bearing fault recognition and remaining useful life prediction using joint-loss convolutional neural network
    Ruonan Liu , Boyuan Yang , and Alexander G Hauptmann
    IEEE Transactions on industrial informatics (ESI, 2021 Outstanding Paper Award in IEEE TII) , 2019
    PDF

2018

  1. MECH SYST SIGNAL PR
    Artificial intelligence for fault diagnosis of rotating machinery: A review
    Ruonan Liu , Boyuan Yang , Enrico Zio , and Xuefeng Chen
    Mechanical Systems and Signal Processing (ESI, Hot Paper) , 2018
    PDF
  2. TIM
    Sparse time-frequency representation for incipient fault diagnosis of wind turbine drive train
    Boyuan Yang ,  Ruonan Liu , and Xuefeng Chen
    IEEE Transactions on Instrumentation and Measurement, 2018
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2017

  1. TII
    Fault diagnosis for a wind turbine generator bearing via sparse representation and shift-invariant K-SVD
    Boyuan Yang ,  Ruonan Liu , and Xuefeng Chen
    IEEE Transactions on Industrial Informatics, 2017
    PDF

2016

  1. TII
    Dislocated time series convolutional neural architecture: An intelligent fault diagnosis approach for electric machine
    Ruonan Liu , Guotao Meng , Boyuan Yang , Chuang Sun , and Xuefeng Chen
    IEEE Transactions on Industrial Informatics (ESI) , 2016
    PDF
  2. MECH SYST SIGNAL PR
    Time-frequency atoms-driven support vector machine method for bearings incipient fault diagnosis
    Ruonan Liu , Boyuan Yang , Xiaoli Zhang , Shibin Wang , and Xuefeng Chen
    Mechanical Systems and Signal Processing (ESI) , 2016
    PDF