Yufeng Yue | 岳裕丰

Dr. Yufeng Yue is a Professor at the School of Automation, Beijing Institute of Technology. He has authored a book in Springer, and published more than 60 journal/conference papers, including IEEE TNNLS/TMech/TII/TIE/TITS/RAL, and NeurIPS/CVPR/ICCV/ICRA/IROS. He is the recipient of the 2020 IEEE ICARCV Best Paper Award and 2021/2023/2024 IEEE ICUS Best Paper Award.

Email  /  Google Scholar  /  Research Gate  /  中文主页

profile photo
News

Feb, 2025

Jan, 2025

Jan, 2025

Jan, 2025

1 paper accepted by CVPR

3 papers accepted by ICRA

1 paper accepted by IEEE TCSVT

1 paper accepted by IEEE RAL
Research

Our research goal is to enhance the autonomy and generalization of robotic systems in open environments. By leveraging cross-disciplinary knowledge such as deep learning, robotics, and control, our research interests lies on Embodied Robotics: Spatial-AI perception, Cognitive navigation, Cross-embodiment intelligence. We have developed a variety of robot systems that operate in structured/semi-structured/field environments.

We are looking for candidates who have strong self-motivation, intense interest in robotic systems, and desire to combine artificial intelligence with practical robotics systems. For prospective students: If you are interested in working with us as a Master/PhD student or intership student, please feel free to contact me.

Experience
  • Professor, Beijing Institute of Technology (BIT), China, 2020 - Present
  • Assistant Researcher, University of California，Los Angeles (UCLA), USA, Prof. Andrea L. Bertozzi, 2019 - 2019
  • Postdoctoral, Nanyang Technological University (NTU), Singapore, Prof. Danwei Wang, 2018 - 2020
Education
  • Ph.D. , Nanyang Technological University (NTU), Singapore, Prof. Danwei Wang, 2014 - 2019
  • Bachelor, Beijing Institute of Technology (BIT), China, 2010 - 2014
Academic Service
  • Co-Chair, IEEE Robotics and Automation Society (RAS), Autonomous Ground Vehicles and Intelligent Transportation Systems
  • Associate Editor, IEEE Robotics and Automation Letters, 2024 - Present
  • Associate Editor, ICRA, 2024 - Present
  • Associate Editor, IROS, 2020 - Present
Point Tree Transformer for Point Cloud Registration
Meiling Wang, Guangyan Chen, Yi Yang, Li Yuan, Yufeng Yue*,
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) 2025
[PDF]

High-Precision Object Pose Estimation Using Visual-Tactile Information for Dynamic Interactions in Robotic Grasping
Zicai Peng, Te Cui, Guangyan Chen, Haoyang Lu, Yi Yang, Yufeng Yue*,
IEEE International Conference on Robotics and Automation (ICRA) 2025

Open-RGBT: Open-vocabulary RGB-T Zero-shot Semantic Segmentation in Open-world Environments
Meng Yu, Luojie Yang, Xunjie He, Yi Yang, Yufeng Yue*,
IEEE International Conference on Robotics and Automation (ICRA) 2025
[Project] [Arxiv]

Joint Conditional Diffusion Model for Image Restoration with Mixed Degradations
Yufeng Yue, Meng Yu, Luojie Yang, Tong Liu*,
Neurocomputing2025
[PDF] [code]

VLMimic: Vision Language Models are Visual Imitation Learner for Fine-grained Actions
Guangyan Chen, Meiling Wang, Te Cui, Yao Mu, Haoyang Lu, Tianxing Zhou, Zicai Peng, Mengxiao Hu, Li Yuan, Yi Yang, Yufeng Yue*,
Advances in Neural Information Processing Systems (NeurIPS) 2024
[Project] [PDF] [Arxiv]

PartGrasp: Part-level Geometry Complements Foundation Models for Fine-Grained Grasp Transfer
Haoyang Lu, Guangyan Chen, Te Cui, Tianxing Zhou, Mengxiao Hu, Yufeng Yue*,
Arxiv 2024

OpenObject-NAV: Open-Vocabulary Object-Oriented Navigation Based on Dynamic Carrier-Relationship Scene Graph
Yujie Tang, Meiling Wang, Yinan Deng, Zibo Zheng, Jiagui Zhong, Yufeng Yue*,
Arxiv 2024
[Project] [PDF] [Arxiv]

OpenObj: Open-Vocabulary Object-Level Neural Radiance Fields with Fine-Grained Understanding
Yinan Deng, Jiahui Wang, Jingyu Zhao, Jianyu Dou, Yi Yang, Yufeng Yue*,
IEEE Robotics and Automation Letters (RAL) 2024
[PDF] [Code] [Video] [Project]

Human Demonstrations are Generalizable Knowledge for Robots
Guangyan Chen, Te Cui, Tianxing Zhou, Zicai Peng, Mengxiao Hu, Meiling Wang, Yi Yang, Yufeng Yue*,
Arxiv 2024
[PDF] [Arxiv]

OpenGraph: Open-Vocabulary Hierarchical 3D Graph Representation in Large-Scale Outdoor Environments
Yinan Deng, Jiahui Wang, Jingyu Zhao, Xinyu Tian, Guangyan Chen, Yi Yang, Yufeng Yue*,
IEEE Robotics and Automation Letters (RAL) 2024
[PDF] [Arxiv] [Code]

MACIM: Multi-Agent Collaborative Implicit Mapping
Yinan Deng, Yujie Tang, Yi Yang, Danwei Wang, Yufeng Yue*,
IEEE Robotics and Automation Letters (RAL) 2024
[PDF] [IEEE] [Code]

VIFNet: An end-to-end visible–infrared fusion network for image dehazing>
Meng Yu, Te Cui, Haoyang Lu, Yufeng Yue*,
Neurocomputing 2024
[PDF]

SEE-CSOM: Sharp-Edged and Efficient Continuous Semantic Occupancy Mapping for Mobile Robots
Yinan Deng, Meiling Wang, Yi Yang, Danwei Wang, Yufeng Yue*,
IEEE Transactions on Industrial Electronics (TIE) 2024
[PDF] [IEEE] [Code]

Fast and Robust Point Cloud Registration with Tree-based Transformer
Guangyan Chen, Meiling Wang, Tianxing Zhou, Yi Yang, Li Yuan, Yufeng Yue*,
IEEE International Conference on Robotics and Automation (ICRA) 2024
[IEEE]

Robust Collaborative Perception against Temporal Information Disturbance
Xunjie He, Yiming Li, Te Cui, Meiling Wang, Tong Liu, Yufeng Yue*,
IEEE International Conference on Robotics and Automation (ICRA) 2024
[IEEE]

LCP-Fusion: A Neural Implicit SLAM with Enhanced Local Constraints and Computable Prior
Jiahui Wang, Yinan Deng, Yi Yang, Yufeng Yue*,
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2024
[PDF]

PointGPT: Auto-regressively Generative Pre-training from Point Clouds
Guangyan Chen, Meiling Wang, Yi Yang, Kai Yu, Li Yuan, Yufeng Yue*,
Advances in Neural Information Processing Systems (NeurIPS) 2023
[PDF] [Code]

Full Transformer Framework for Robust Point Cloud Registration with Deep Information Interaction
Guangyan Chen, Meiling Wang, Qingxiang Zhang, Li Yuan, Yufeng Yue*,
IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 2023
[PDF] [IEEE] [Code]

PA3DNet: 3-D Vehicle Detection with Pseudo Shape Segmentation and Adaptive Camera-LiDAR Fusion
Meiling Wang, Lin Zhao , Yufeng Yue*,
IEEE Transactions on Industrial Informatics (TII) 2023
[IEEE] [Code]

Robust Large-Scale Collaborative Localization Based on Semantic Submaps With Extreme Outliers
Yujie Tang, Meiling Wang, Yi Yang , Ziquan Lan , Yufeng Yue*,
IEEE/ASME Transactions on Mechatronics (TMech) 2023
[IEEE]

Integrated Localization and Planning for Cruise Control of UGV Platoons in Infrastructure-Free Environments
Yuanzhe Wang, Chunyang Zhao, Jiahao Liang , Mingxing Wen , Yufeng Yue*, Danwei Wang ,
IEEE Transactions on Intelligent Transportation Systems (TITS) 2023
[IEEE]

SFAF-MA: Spatial Feature Aggregation and Fusion With Modality Adaptation for RGB-Thermal Semantic Segmentation
Xunjie He, Meiling Wang, Tong Liu, Lin Zhao, Yufeng Yue,
IEEE Transactions on Instrumentation and Measurement (TIM) 2023
[IEEE]

Rethinking Point Cloud Registration as Masking and Reconstruction
Guangyan Chen, Meiling Wang, Li Yuan, Yi Yang, Yufeng Yue*,
International Conference on Computer Vision (ICCV) 2023
[PDF] [Code]

Deep Interactive Full Transformer Framework for Point Cloud Registration
Guangyan Chen, Meiling Wang, Qingxiang Zhang, Li Yuan, Tong Liu, Yufeng Yue*,
IEEE International Conference on Robotics and Automation (ICRA) 2023
[IEEE] [Code]

Multi-View Robust Collaborative Localization in High Outlier Ratio Scenes Based on Semantic Features
Yujie Tang, Meiling Wang, Yinan Deng, Yi Yang, Ziquan Lan, Yufeng Yue*,
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2023
[PDF] [IEEE] [Code]

SSGM: Spatial Semantic Graph Matching for Loop Closure Detection in Indoor Environments
Yujie Tang, Meiling Wang, Yinan Deng, Yi Yang, Yufeng Yue*,
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2023
[PDF] [IEEE] [Code]

Sem-Aug: Improving Camera-LiDAR Feature Fusion with Semantic Augmentation for 3D Vehicle Detection
Lin Zhao, Meiling Wang, Yufeng Yue*,
IEEE Robotics and Automation Letters (RAL) 2022
[PDF] [IEEE] [Code]

Aerial-Ground Robots Collaborative 3D Mapping in GNSS-Denied Environments
Yufeng Yue, Chunyang Zhao, Yuanzhe Wang, Yang Yi, Danwei Wang,
IEEE International Conference on Robotics and Automation (ICRA) 2022
[IEEE]

HD-CCSOM: Hierarchical and Dense Collaborative Continuous Semantic Occupancy Mapping through Label Diffusion
Yinan Deng, Meiling Wang, Yi Yang, Yufeng Yue*,
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2022
[PDF] [IEEE] [Code]

S-MKI: Incremental Dense Semantic Occupancy Reconstruction Through Multi-Entropy Kernel Inference
Yinan Deng, Meiling Wang, Danwei Wang, Yufeng Yue*,
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2022
[PDF] [IEEE]

COSEM: Collaborative Semantic Map Matching Framework for Autonomous Robots
Yufeng Yue, Mingxing Wen, Chunyang Zhao, Yuanzhe Wang, Danwei Wang,
IEEE Transactions on Industrial Electronics (TIE) 2021
[IEEE]

Formation Reconstruction and Trajectory Replanning for Multi-UAV Patrol
Yuanzhe Wang, Yufeng Yue*, Mao Shan, Liang He, Danwei Wang,
IEEE/ASME Transactions on Mechatronics (TMech) 2021
[IEEE]

LCR-SMM: Large Convergence Region Semantic Map Matching Through Expectation Maximization
Qingxiang Zhang, Meiling Wang, Yufeng Yue*, Tong Liu,
IEEE/ASME Transactions on Mechatronics (TMech) 2021
[IEEE]

Tightly-Coupled Perception and Navigation of Heterogeneous Land-Air Robots in Complex Scenarios
Yufeng Yue, Mingxing Wen, Yosmar Putra, Meiling Wang, Danwei Wang ,
IEEE International Conference on Robotics and Automation (ICRA) 2021
[IEEE]

Robust Semantic Map Matching Algorithm Based on Probabilistic Registration Model
Qingxiang Zhang, Meiling Wang, Yufeng Yue*,
IEEE International Conference on Robotics and Automation (ICRA) 2021
[PDF] [IEEE]

Collaborative Semantic Understanding and Mapping Framework for Autonomous Systems
Yufeng Yue, Chunyang Zhao, Zhenyu Wu , Chule Yang, Yuanzhe Wang, Danwei Wang,
IEEE/ASME Transactions on Mechatronics (TMech) 2020
[PDF] [IEEE]

Autonomous target docking of nonholonomic mobile robots using relative pose measurements
Yuanzhe Wang, Mao Shan, Yufeng Yue*, Danwei Wang,
IEEE Transactions on Industrial Electronics (TIE) 2020
[IEEE]

A Hierarchical Framework for Collaborative Probabilistic Semantic Mapping
Yufeng Yue, Chunyang Zhao, Ruilin Li , Chule Yang, Jun Zhang, Mingxing Wen, Yuanzhe Wang, Danwei Wang,
IEEE International Conference on Robotics and Automation (ICRA) 2020
[PDF] [IEEE]

Day and Night Collaborative Dynamic Mapping in Unstructured Environment Based on Multimodal Sensors
Yufeng Yue, Chule Yang, Jun Zhang, Mingxing Wen, Zhenyu Wu , Haoyuan Zhang, Danwei Wang,
IEEE International Conference on Robotics and Automation (ICRA) 2020
[PDF] [IEEE]

Collaborative Semantic Perception and Relative Localization Based on Map Matching
Yufeng Yue*, Chunyang Zhao, Meiling Wang, Zhenyu Wu, Danwei Wang,
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2020
[PDF] [PDF] [IEEE]

A multilevel fusion system for multirobot 3-d mapping using heterogeneous sensors
Yufeng Yue, Chule Yang, Yuanzhe Wang, PGC Namal Senarathne, Jun Zhang, Mingxing Wen, Danwei Wang,
IEEE Systems Journal ( SYST J) 2019
[PDF] [IEEE]

Knowledge-based multimodal information fusion for role recognition and situation assessment by using mobile robot
Chule Yang, Danwei Wang, Yijie Zeng, Yufeng Yue*, Prarinya Siritanawan,
Information Fusion (INFORM FUSION) 2019
[PDF]

Vision-based flexible leader–follower formation tracking of multiple nonholonomic mobile robots in unknown obstacle environments
Yuanzhe Wang, Mao Shan, Yufeng Yue*, Danwei Wang,
IEEE Transactions on Control Systems Technology (TCST) 2019
[PDF] [IEEE]

Hierarchical probabilistic fusion framework for matching and merging of 3-d occupancy maps
Yufeng Yue, PGC Namal Senarathne, Chule Yang, Jun Zhang, Mingxing Wen, Danwei Wang,
IEEE Sensors Journal ( SENS J ) 2018
[PDF] [IEEE]

Probabilistic reasoning for unique role recognition based on the fusion of semantic-interaction and spatio-temporal features
Chule Yang, Yufeng Yue*, Jun Zhang, Mingxing Wen, Danwei Wang,
IEEE Transactions on Multimedia (TMM) 2018
[PDF] [IEEE]