I recently graduated with a
B.Eng. in Software Engineering from Beihang
University, with a minor in Law, and will join the
School of Information, Renmin University of
China
as an incoming PhD student. My current research focuses
on embodied intelligence, especially
vision-language-action models and
latent action supervision. Previously, I worked on
spatial-temporal data modeling and imputation.
Publications
ICML 2026
Oral
From Pixels to Tokens: A Systematic Study of Latent
Action Supervision for Vision-Language-Action Models
Yihan Lin, Haoyang Li, Yang Li,
Haitao Shen, Yihan Zhao, Chao Shao, Jing Zhang
A systematic study of latent action supervision for
vision-language-action models. The paper compares
image-based and action-based latent action
formulations in a unified VLA setting and shows the
effectiveness of directly supervising VLMs with
discrete latent action tokens.
Paper
/
PDF
/
Code
ACM TIST
Leveraging LLMs for Semantic Correlation Enhancement
in Spatial-temporal Imputation
Xin Xue, Haoyi Zhou, Lanhao Li,
Yihan Lin, Tianyu Chen, Jianxin Li
ACM Transactions on Intelligent Systems and
Technology
This work studies spatial-temporal imputation with
an LLM-native framework that converts spatial,
temporal, and cross-variable correlations into
semantic tokens, improving correlation-aware
reasoning on real-world imputation tasks.
Paper
/
DOI