Point Cloud Noise and Outlier Removal with Locally Adaptive Scale. - Zhenxing Mi; Wenbing Tao (PRCV (3), 2018)

TSRNet: Scalable 3D Surface Reconstruction Network for Point Clouds using Tangent Convolution. - Zhenxing Mi; Yiming Luo; Wenbing Tao (CoRR, 2019)

SSRNet: Scalable 3D Surface Reconstruction Network. - Zhenxing Mi; Yiming Luo; Wenbing Tao (CVPR, 2020)

DeepDT: Learning Geometry From Delaunay Triangulation for Surface Reconstruction. - Yiming Luo; Zhenxing Mi; Wenbing Tao (AAAI, 2021)

Generalized Binary Search Network for Highly-Efficient Multi-View Stereo. - Zhenxing Mi; Di Chang; Dan Xu 002 (CVPR, 2022)

Switch-NeRF: Learning Scene Decomposition with Mixture of Experts for Large-scale Neural Radiance Fields. - Zhenxing Mi; Dan Xu 002 (ICLR, 2023)

SSRNet: Scalable 3D Surface Reconstruction Network. - Ganzhangqin Yuan; Qiancheng Fu; Zhenxing Mi; Yiming Luo; Wenbing Tao (IEEE Trans. Vis. Comput. Graph., 2023)

LeC2O-NeRF: Learning Continuous and Compact Large-Scale Occupancy for Urban Scenes. - Zhenxing Mi; Dan Xu (CoRR, 2024)

I Think, Therefore I Diffuse: Enabling Multimodal In-Context Reasoning in Diffusion Models. - Zhenxing Mi; Kuan-Chieh Wang; Guocheng Qian; Hanrong Ye; Runtao Liu; Sergey Tulyakov; Kfir Aberman; Dan Xu 002 (CoRR, 2025)

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields. - Zhenxing Mi; Ping Yin; Xue Xiao; Dan Xu (CoRR, 2025)