VLA Models Are More Generalizable Than You Think: Revisiting Physical and Spatial Modeling.

Ruifeng Zhai

Weiqi Li Quande Zhang Ruifeng Zhai Liang Lin Guangrun Wang VLA Models Are More Generalizable Than You Think: Revisiting Physical and Spatial Modeling. 2025 December abs/2512.02902 CoRR https://doi.org/10.48550/arXiv.2512.02902 db/journals/corr/corr2512.html#abs-2512-02902 streams/journals/corr

Ruifeng Zhai Fengli Gao Yanliang Guo Wuling Huang Junfeng Song Xueyan Li Rui Ma 0011 AdaMix: Adaptive Resampling of Multiscale Object Mixup for Lidar Data Augmentation. 68-86 2024 September - October 16 IEEE Intell. Transp. Syst. Mag. 5 https://doi.org/10.1109/MITS.2024.3399017 db/journals/itsm/itsm16.html#ZhaiGGHSLM24 streams/journals/itsm

Ruifeng Zhai Junfeng Song Shuzhao Hou Fengli Gao Xueyan Li Self-Supervised Learning for Point-Cloud Classification by a Multigrid Autoencoder. 8115 2022 22 Sensors 21 https://doi.org/10.3390/s22218115 https://www.wikidata.org/entity/Q114882490 db/journals/sensors/sensors22.html#ZhaiSHGL22

Ruifeng Zhai Xueyan Li Zhenxin Wang Shuxu Guo Shuzhao Hou Yu Hou Fengli Gao Junfeng Song Point Cloud Classification Model Based on a Dual-Input Deep Network Framework. 55991-55999 2020 8 IEEE Access https://doi.org/10.1109/ACCESS.2020.2981357 db/journals/access/access8.html#ZhaiLWGHHGS20

Fengli Gao Shuxu Guo Yanliang Guo Shuzhao Hou Yu Hou Wuling Huang Weiqi Li Xueyan Li Liang Lin Rui Ma 0011 Junfeng Song Guangrun Wang Zhenxin Wang Quande Zhang