具身智能交互感知、视觉导航

重大装备智能运维、预测性维护

世界模型预测推理

荣誉奖励：

2021年 IEEE Transactions on Industrial Informatics 最佳论文奖（IF 12.3）

2021年-至今 全球前2%顶尖科学家（World's Top 2% Scientists）

2022年 德国洪堡学者、中国科协青年托举人才

2024年 IJCAI Runner-up Paper Award、IEEE ARM Best Paper Award Finalist

2025年 吴文俊人工智能青年科技奖、IROS 2025 Best Paper Finalist*2、Nokov New Generation Star Project

2024 - 至今    上海交通大学 自动化系  长聘教轨副教授
2019 - 2024    天津大学 人工智能学院  长聘/英才副教授
2017 - 2019    卡耐基梅隆大学 计算机科学学院 联合培养博士/博士后研究员
2009 - 2019    西安交通大学 机械工程  本硕博连读

主持 国自然面上项目 开放环境连续视觉语言导航及其自主进化研究

主持 国自然青年项目 小样本下动态图网络的鲁棒学习研究

主持 天津市应用基础研究项目 知识与数据联合驱动的可解释图神经网络研究

主持 青年人才托举工程 机器学习

[49]Li H, Shi J, Liu R*, Liu F. OriGround: Orientation-Aware Neuro-Symbolic Zero-Shot 3D Visual Grounding[C]. The 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP-F 2026).

[48]Liu Y, Liu R*, He J, Lin D. Hierarchical Dual-Teacher Distillation for Spatial Reasoning of MLLM-Based Agents in Embodied Tasks[C]. Proceedings of the 34th ACM International Conference on Multimedia (ACM MM 2026). (Oral)

[47]Ding Y, Liu Y, He J, Shi J, Liu L, Liu R*. SparseNav: Efficient Zero-Shot Object-Goal Navigation with Multi-Layer Sparse Semantic Mapping[C]. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2026).

[46]Peng J, Dong H, Wang X, Lin D, Chen H, Liu R*, et al. Learning External Point-Set Context for Point Cloud Segmentation[J]. IEEE Transactions on Neural Networks and Learning Systems, 2026.

[45]Wu W, Xu L, Liu R, Zhang W. Hierarchical optimal event-triggered framework for robust formation control of underactuated ASVs[J]. Automatica, 2026.

[44]Jiang Z, Liu R*, Hu X, et al. SDATNet: Social Diverse Adaptive TrajectorNet for Pedestrian Trajectory Prediction under Long-Tail Behavior Distributions[J]. IEEE Transactions on Intelligent Transportation Systems, 2026.

[43]Peng J, Lin D, Xu Z, Lu H, Liu R*, et al. FreeMem: Enhancing Consistency in Long Video Generation via Tuning-Free Memory[C]. The Fortieth AAAI Conference on Artificial Intelligence (AAAI 2026).

[42]Zhang X, Xu Y, Li J, Liu R, Hu Z. Agent Journey Beyond RGB: Hierarchical Semantic-Spatial Representation Enrichment for Vision-and-Language Navigation[C]. The Fortieth AAAI Conference on Artificial Intelligence (AAAI 2026).

[41]Zuo D, Wang L*, Liu R*, et al. Multi-modal Frequency Decomposition Network for Semantic Scene Completion[C]. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2026).

[40]Liu R, Hu P, Zhao S, Lin D*, Zhang W. Causal Counterfactual Faithfulness Generation for Open set Fault Diagnosis of Complex Industrial Processes[J]. IEEE Transactions on Industrial Informatics, 2025.

[39]Dong H, Wang X, Lin D, Liu R*, et al. NoiseController: Towards Consistent Multi-view Video Generation via Noise Decomposition and Collaboration[C]. International Conference on Computer Vision (ICCV 2025).

[38]Jiang Z, Liu R*, Zhou Y, et.al. PhysGCN-DL: Physics-Informed Graph Convolutional Networks with Diversity-Aware Loss Optimization for Multimodal Pedestrian Trajectory Prediction[C]. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025).   (同时入选两个领域Best Paper Award Finalist)

[37]Liu R, Wu S, Lin D*, Zhang W. CVLN-Think: Causal Inference with Counterfactual Style Adaptation for Continuous Vision-and-Language Navigation[C]. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025).

[36]Liu R, Hu X, Jiang Z, et al. Survey on heterogeneous aquatic robot systems: communication, perception, navigation, control, decision-making and energy management[J]. Robot Learning, 2025.

[35]Li Z, Liu R*, Chen D, et al. OR-Gate Mixup Multi-Scale Spectral Graph Neural Network for Node Anomaly Detection[J]. IEEE Transactions on Neural Networks and Learning Systems, 2025.

[34]Yang B, Zhang J, Liu R*, Lin D, et al. Point-to-Set Metric-Gated Mixture of Experts for Multi-Source Domain Adaptation Fault Diagnosis[J]. IEEE Transactions on Neural Networks and Learning Systems, 2025.

[33]Zhang R, Lin D, Wang X, Liu R, et al. Temporal-Interim Pose Synthesis and Distillation for Dynamic Human Pose Estimation[J]. IEEE Transactions on Neural Networks and Learning Systems, 2025.

[32]Wu S, Liu R*, Xie Z, et al. Map-SemNav: Advancing Zero-Shot Continuous Vision-and-Language Navigation through Visual Semantics and Map Integration[C]. IEEE International Conference on Robotics and Automation (ICRA 2025).

[31]Kong P, Liu R*, Xie Z, et al. VLN-KHVR: Knowledge-and-History Aware Visual Representation for Continuous Vision-and-Language Navigation[C]. IEEE International Conference on Robotics and Automation (ICRA 2025).

[30] Liu R, Wu S, Liu Q, et al. Rectified Flow-Based Generative Transfer Learning for System Fault Diagnosis[C]. IEEE International Conference on Vision, Image and Signal Processing (ICVISP), 2024. (Best Paper Award)

[29] Liu R, Zhao S, Pang Z, et al. Out-of-Distribution Fault Diagnosis of Industrial Cyber-physical Systems Based on Orthogonal Anchor Clustering with Adaptive Balance[J]. IEEE Transactions on Industrial Cyber-Physical Systems, 2024.

[28]Yu W,  Liu R*, Chen D, et. al. Explainability Enhanced Object Detection Transformer with Feature Disentanglement[J]. IEEE Transactions on Image Processing, 2024.

[27] Liu R, Wu S, Kong P, et. al. Robust Object Recognition in Open Environments Based on Causal Inference[C]. International Conference on Robotics, Control and Automation Engineering (RCAE), 2024. (Best Paper Award)

[26]Wang L, Lin D, Yang K, Liu R*, Guo Q, et. al. Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion[C]. Neural Information Processing Systems (NeurIPS 2024).

[25] Liu R, Xie Y, Lin D*, et. al. Information-based Gradient Enhanced Causal Learning Graph Neural Network for Fault Diagnosis of Complex Industrial Processes[J]. Reliability Engineering & System Safety, 2024.

[24]Zhang X, Hu Z, Liu R, et al. Fault Detection of Unmanned Surface Vehicles: The Fuzzy Multi-Processor Implementation[J]. IEEE Transactions on Fuzzy Systems, 2024.

[23] Liu R, Kong P, Zhang W. Multiple Visual Features in Topological Map for Vision-and-Language Navigation[C]. 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024).

[22]Jin C, Yang B,  Liu R. Improved VLN-BERT with Reinforcing Endpoint Alignment for Vision-and-Language Navigation[C]. International Joint Conference on Artificial Intelligence (IJCAI 2024).  (Runner-up Paper Award)

[21] Liu R, Kong P, Wu S, Zhang W. RewardVLN: An Improved Agent Navigation Based on Visual-Instruction Alignment[C]. The IEEE International Conference on Advanced Robotics and Mechatronics (IEEE ARM 2024).  (Best Paper Award Finalist)

[20] Liu R, Zhang Q, Lin D*, et al. Causal Disentangled Graph Neural Network for Fault Diagnosis of Complex Industrial Process[J]. IEEE Transactions on Industrial Informatics, 2024.

[19] Liu R, Zhang Q, Han T*, et al. Survey on Foundation Models for Prognostics and Health Management in Industrial Cyber-Physical Systems[J]. IEEE Transactions on Industrial Cyber-Physical Systems, 2024.

[18] Liu R, Zhang Q, Lin D*, et al. Causal intervention graph neural network for fault diagnosis of complex industrial processes[J]. Reliability Engineering & System Safety, 2024. (ESI)

[17]Cheng P, Ye S,  Liu R, et al. SMC-Based Bounded Consensus Tracking for Multiagent Systems Under Stochastic DoS Attacks With Applications to Multiple DC Motors[J]. IEEE Transactions on Industrial Informatics, 2024.

[16] Liu R, Xiao D, Lin D*, et al. Intelligent Bearing Anomaly Detection for Industrial Internet of Things Based on Auto-Encoder Wasserstein Generative Adversarial Network[J]. IEEE Internet of Things Journal, 2024.

[15] Liu R, Zhang Q, Wang Y*, et al. Industrial Big Data Analytical System in Industrial Cyber-Physical Systems Based on Coarse-to-Fine Deep Network[J]. IEEE Transactions on Industrial Cyber-Physical Systems, 2023.      

[14] Chen D, Xie Z,  Liu R*, et al. Bayesian hierarchical graph neural networks with uncertainty feedback for trustworthy fault diagnosis of industrial processes[J]. IEEE Transactions on Neural Networks and Learning Systems , 2023.

[13] Wang H, Liu R*, Ding S X, et al. Causal-Trivial Attention Graph Neural Network for Fault Diagnosis of Complex Industrial Processes[J]. IEEE Transactions on Industrial Informatics, 2023.

[12] Lin D, Wang X, Shen J, Zhang R, Liu R, et al. Generative Status Estimation and Information Decoupling for Image Rain Removal[C] //Advances in Neural Information Processing Systems (NeurIPS 2022).

[11] Chen D, Liu R*, Hu Q, et al. Interaction-Aware Graph Neural Networks for Fault Diagnosis of Complex Industrial Processes[J]. IEEE Transactions on Neural Networks and Learning Systems, 2021.(ESI, Hot Paper) 

[10] Chen H, Liu R*, Xie Z, et al. Majorities Help Minorities: Hierarchical Structure Guided Transfer Learning for Few-shot Fault Recognition[J]. Pattern Recognition, 2021: 108383

[9] Hu Y, Liu R*, Li X, et al. Task-Sequencing Meta Learning for Intelligent Few-Shot Fault Diagnosis with Limited Data[J]. IEEE Transactions on Industrial Informatics, 2021.(ESI) 

[8]Wang Y, Liu R*, Lin D, et al, Coarse-to-Fine: Progressive Knowledge Transfer Based Multi-Task Convolutional Neural Network for Intelligent Large-Scale Fault Diagnosis[J]. IEEE Transactions on Neural Networks and Learning Systems, 2021.

[7] Wang F, Liu R*, Hu Q, et al. Cascade convolutional neural network with progressive optimization for motor fault diagnosis under nonstationary conditions[J]. IEEE Transactions on Industrial Informatics, 2020, 17(4): 2511-2521

[6] Liu R, Wang F, Yang B*, et al. Multi-scale Kernel based Residual Convolutional Neural Network for Motor Fault Diagnosis Under Non-stationary Conditions[J]. IEEE Transactions on Industrial Informatics, 2019.(ESI) 

[5] Yang B, Liu R*, Zio E. Remaining useful life prediction based on a double-convolutional neural network architecture[J]. IEEE Transactions on Industrial Electronics, 2019, 66(12): 9521-9530.(ESI) 

[4]Liu R, Yang B*, Hauptmann A G. Simultaneous Bearing Fault Recognition and Remaining Useful Life Prediction Using Joint-Loss Convolutional Neural Network[J]. IEEE Transactions on Industrial Informatics, 2019, 16(1): 87-96.(ESI, 2021 Outstanding Paper Award in IEEE TII)

[3] Liu R, Yang B, Zio E, et al. Artificial intelligence for fault diagnosis of rotating machinery: A review[J]. Mechanical Systems and Signal Processing, 2018, 108: 33-47. (ESI, Hot Paper) 

[2] Liu R, Meng G, Yang B, et al. Dislocated time series convolutional neural architecture: An intelligent fault diagnosis approach for electric machine[J]. IEEE Transactions on Industrial Informatics, 2016, 13(3): 1310-1320. (ESI)

[1] Liu R, Yang B, Zhang X, et al. Time-frequency atoms-driven support vector machine method for bearings incipient fault diagnosis[J]. Mechanical Systems and Signal Processing, 2016, 75: 345-370. (ESI)