Welcome!

I am Jinfeng Xu, currently a Ph.D. candidate in Computer Science at Huazhong University of Science and Technology (HUST), advised by Prof. Xianzhi Li. Prior to my Ph.D. studies, I received my B.Eng. degree in Automation from Shandong University (SDU).

My current research centers on 3D computer vision, with a focus on point cloud semantic segmentation, open-world 3D scene understanding, and robust 3D perception in complex environments. I am dedicated to developing generalizable learning frameworks that leverage large-scale models and data-efficient training to overcome the challenges of limited supervision in 3D domains.

I welcome research collaborations and interdisciplinary discussions related to 3D perception and open-world intelligence, and I am actively seeking postdoctoral opportunities to further develop cutting-edge research in these areas.

News

Publications [Google Scholar]

SASep: Saliency-Aware Structured Separation of Geometry and Feature for Open Set Learning on Point Clouds

Jinfeng Xu, Xianzhi Li, Yuan Tang, Xu Han, Qiao Yu, Yixue Hao, Long Hu, Min Chen

CVPR 2025

[Paper] [Code]

PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation

Jinfeng Xu, Siyuan Yang, Xianzhi Li, Yuan Tang, Yixue Hao, Long Hu, Min Chen

CVPR 2024

[Paper] [Code]

CasFusionNet: A Cascaded Network for Point Cloud Semantic Scene Completion by Dense Feature Fusion

Jinfeng Xu, Xianzhi Li, Yuan Tang, Qiao Yu, Yixue Hao, Long Hu, Min Chen

AAAI 2023

[Paper] [Code]

Additional Publications

• MoST: Efficient Monarch Sparse Tuning for 3D Representation Learning
  Xu Han, Yuan Tang, Jinfeng Xu, Xianzhi Li
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025
  [Paper] [Code]
• More Text, Less Point: Towards 3D Data-Efficient Point-Language Understanding
  Yuan Tang, Xu Han, Xianzhi Li, Qiao Yu, Jinfeng Xu, Yixue Hao, Long Hu, Min Chen
  AAAI Conference on Artificial Intelligence (AAAI), 2025
  [Paper] [Code]
• PointDreamer: Zero-Shot 3D Textured Mesh Reconstruction From Colored Point Cloud
  Qiao Yu, Xianzhi Li, Yuan Tang, Xu Han, Jinfeng Xu, Long Hu, Min Chen
  IEEE Transactions on Visualization and Computer Graphics (TVCG), 2025
  [Paper] [Code]
• JIMR: Joint Semantic and Geometry Learning for Point Scene Instance Mesh Reconstruction
  Qiao Yu, Xianzhi Li, Yuan Tang, Jinfeng Xu, Long Hu, Yixue Hao, Min Chen
  IEEE Transactions on Visualization and Computer Graphics (TVCG), 2024
  [Paper] [Code]
• Point-LGMask: Local and Global Contexts Embedding for Point Cloud Pre-Training With Multi-Ratio Masking
  Yuan Tang, Xianzhi Li, Jinfeng Xu, Qiao Yu, Long Hu, Yixue Hao, Min Chen
  IEEE Transactions on Multimedia (TMM), 2023
  [Paper] [Code]
• Crowd Intelligent Grouping Collaboration Evacuation via Multi-agent Reinforcement Learning
  Yuan Tang, Xu Zhang, Rui Wang, Jinfeng Xu, Long Hu, Yixue Hao
  International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2023
  [Paper]
• TIF: Trajectory and Information Flow Coupling Mechanism for Behavior Analysis in Autonomous Driving
  Rui Wang, Jinfeng Xu, Jia Liu, Di Wu, Yixue Hao, Xianzhi Li, Min Chen
  IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2022
  [Paper]
• Drone enabled Smart Air-Agent for 6G Network
  Yiming Miao, Jinfeng Xu, Min Chen, Kai Hwang
  IEEE International Conference on Communications (ICC), 2022
  [Paper]
• Energy Efficient Task Caching and Offloading in UAV-Enabled Crowd Management
  Gaoxiang Wu, Qiang Liu, Jinfeng Xu, Yiming Miao, Matevž Pustišek
  IEEE Sensors Journal, 2022
  [Paper]
• Auxiliary Diagnosis of COVID-19 Based on 5G-Enabled Federated Learning
  Rui Wang, Jinfeng Xu, Yujun Ma, Muhammad Talha, Mabrook S Al-Rakhami, Ahmed Ghoneim
  IEEE Network, 2021
  [Paper]

Education

• Huazhong University of Science and Technology
  • Ph.D. in Computer Science, Sep. 2020 - Present
  • Advisor: Prof. Xianzhi Li
  • Research Topic: Open-World 3D Scene Understanding
• Shandong University
  • B.E. in Automation, Sep. 2016 – Jun. 2020
  • Advisor: Prof. Xiaolei Li
  • Thesis Title: Knowledge Graph–Based Personalized Recommendation System

Honors & Awards

• Huawei Scholarship, 2024
• Ph.D. First-Class Academic Scholarship, 2021–2024
• National Special Prize, National Engineering Training Competition (Robotics), 2019