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Resume (English only)
Academic Achievements
- Published multiple papers and technical tutorials
- Successfully developed and shared several open-source projects and technical solutions
- Achieved excellent results in competitions related to point cloud semantic segmentation for autonomous driving
Research Experience
- Research projects include the B-spline activation function in Kolmogorov-Arnold Networks (KAN)
- Conducted research on sparse convolution and point cloud processing (e.g., Torch Points3D library)
- Achieved significant success in LiDAR semantic segmentation, with his work AF2S3Net ranking first in both SemanticKITTI and NuScenes lidarseg benchmarks
Background
Research Interests: Robotics, Vision, Learning.
Miscellany
Personal interests and technical hobbies include the application and optimization of deep learning frameworks such as PyTorch, as well as debugging C++/Python mixed projects.