Master’s Thesis Supervision

I supervised a total of 10 Master’s theses during my PhD:

• Bin-Based Learnable Sampling Strategy for Point Cloud Edge Sampling, Hao fu, 2024.
• A Study of Attention Module Variations in Point Cloud Feature Learning, Kaige Wang, 2023.
• Exploring Contrastive Learning on 3D Point Clouds with Cross Attention, Qianlinag Huang, 2023.
• Attention-based 3D Point Cloud Segmentation on Bosch Motors and Its Visualization Interface Design, Xuelei Bi, 2022.
• VoxAttention: Shape Synthesis via Part Assembly with Self-Attention, Junwei Zheng, 2022.
• A Novel Multi-Attribute Regression Benchmark Suite on Bosch Motors, Linxi Qiu, 2022.
• 3D Point Cloud semantic Segmentation on BOSCH Motors, Haodong Yu, 2021.
• SwitchVAE: Learning Better Latent Representations from Objects of Different 3D Euclidean Formats, Mingyuan Zhou, 2021.
• Improving Stylized View Synthesis of Image-based Reconstructions using Neural Networks, Iris Mehrbrodt, 2019.
• Object Detection In 3D Point Clouds By Leveraging Local-Spatial Correlations, Kangning Li, 2019.