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. arXiv

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
MiCo's two-stage pruning framework: visual candidate selection, task-aware refinement, and greedy mutual information coverage optimization. arXiv

MiCo: Mutual Information Coverage Optimization through Semantic Erasure Modeling for Efficient MLLM Inference

Preprint · 2026

Training-free, two-stage visual token pruning that maximizes mutual information coverage: select a representative visual pool, then refine it with task-aware signals.

Co-first author

Paper CodeComing soon Project page
ReMAP combines global scene context, local region evidence, and reinforcement-learned memory access during multimodal reasoning. arXiv

ReMAP: Restoring the Perceptual Cycle with Reasoning-Time Latent Visual Memory

Preprint · 2026

* Equal contribution · † Project leaders

Global and local latent visual memories restore visual grounding during reasoning; a reinforcement-learning policy decides when to retrieve each type of evidence.

Project Leader

Project leader, working on latent visual memory and learned memory-access policies for multimodal reasoning.

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

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.

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