Tao Lin

Estimation of cotton plant moisture content using UAV multimodal data and machine learning

Zhenyang Wang, Caixia Yin, Siyuan Chen, Hao Zhang, Maoguang Chen, Tao Lin, et al.

Three-Body Scattering for Generative Modeling

Peng Sun, Zhenglin Cheng, Deyuan Liu, Jun Xie, Xinyi Shang, Tao Lin

Modern generative models typically rely on an adversarial critic, a prescribed noise-to-data path, or an autoregressive factorization. Instead, we show that a proper distributional energy can induce sample-level motion and provide direct regression supervision for a one-step gene…Read more

Condensing Large-Scale Datasets Directly with Minimal Information Loss

Xinyi Shang, Peng Sun, Bei Shi, Zixuan Wang, Tao Lin

Recent advancements in scaling dataset distillation rely heavily on decoupled information extraction pipelines, comprising SQUEEZE, RECOVER, and RELABEL stages. Despite their scalability to large-scale datasets, these methods suffer from prohibitive computational overhead and poo…Read more

LA4VLA: Learning to Act without Seeing via Language-Action Pretraining

Tao Lin, Yuxin Du, Yiran Mao, Zewei Ye, Yilei Zhong, Bing Cheng, et al.

Vision-Language-Action (VLA) models are commonly pretrained on robot demonstrations by jointly mapping visual observations and language instructions to actions. However, dense visual-action supervision can dominate the comparatively sparse language-action signal. As a result, pol…Read more