Geometry-Aware Self-Training for Unsupervised Domain Adaptation on Object Point Clouds. - Longkun Zou; Hui Tang; Ke Chen 004; Kui Jia (ICCV, 2021)

Geometry-Aware Self-Training for Unsupervised Domain Adaptationon Object Point Clouds. - Longkun Zou; Hui Tang; Ke Chen 004; Kui Jia (CoRR, 2021)

Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap. - Yongwei Chen; Zihao Wang; Longkun Zou; Ke Chen 004; Kui Jia (ECCV (33), 2022)

Boosting Cross-Domain Point Classification via Distilling Relational Priors From 2D Transformers. - Longkun Zou; Wanru Zhu; Ke Chen 004; Lihua Guo; Kailing Guo; Kui Jia; Yaowei Wang 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Unsupervised Domain Adaptation on Point Cloud Classification via Imposing Structural Manifolds into Representation Space. - Hongchao Zhong; Li Yu 004; Longkun Zou; Ke Chen 004 (CVM (3), 2025)

Bridging Domain Gap of Point Cloud Representations via Self-Supervised Geometric Augmentation. - Li Yu 004; Hongchao Zhong; Longkun Zou; Ke Chen 004; Pan Gao 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition. - Longkun Zou; Kangjun Liu; Ke Chen 004; Kailing Guo; Kui Jia; Yaowei Wang 001 (CoRR, 2025)