Yichen Guo

Yichen Guo

AI Research

Nanyang Technological University

Seeking PhD · Spring / Fall 2027

Projects

STAR-Pro's Adaptive Stage preserves visual feature coverage, followed by progressive token refinement across decoder layers.

STAR-Pro: Stage-Wise Token Adaptive Reduction with Progressive Refinement for Efficient Large Vision-Language Models

Under review · 2026

Training-free visual token reduction that preserves feature coverage, then progressively refines retained tokens as language and vision interact.

Co-first author

As a co-first author, I contributed to the design of adaptive-to-progressive token pruning and its evaluation across vision-language architectures.

Paper Code Project page
WorldEcho and WorldSync: diagnosing action following, aligning world models, and validating policy learning.

Do Robotic World Models Really Follow Actions? Diagnosing and Aligning Action-Conditioned Generation for Policy Learning

Preprint · 2026

WorldEcho diagnoses action-following failures; WorldSync aligns generation with robot dynamics to support policy learning.

Core contributor

As a core contributor, I work on understanding and improving action following in robotic world models.

Paper CodeComing soon Project page Hugging FacePrivate dataset

Dataset access is currently restricted; data upload is pending.

SafeDojo's pipeline combines action-conditioned world-model rollouts, task-success and safety evaluation, and constrained GRPO policy updates.

SafeDojo: Safe Reinforcement Learning for VLA via Interactive World Model

CoRL 2026

Safe reinforcement learning for VLA policies through imagined rollouts in an interactive world model, balancing task progress and safety.

Co-author

Paper CodeComing soon Project page

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