I am an undergraduate student in Software Engineering at the University of Electronic Science and Technology of China (UESTC). I am also a visiting student at MBZUAI, advised by Prof. Yutong Xie , and a research intern at the Institute for AI Industry Research (AIR), Tsinghua University, advised by Prof. Yuanchun Li .
My research centers on clinical AI and world models, efficient language-model reasoning, and visual intelligence. I study how models reason over patient trajectories, control their reasoning budgets, and represent visual and temporal information.
I am actively seeking Fall 2027 PhD positions or job opportunities — xinruiwu.wxr@gmail.com.
B.S. in Software Engineering (Embedded System)
Visiting Student ·
Advisor: Prof. Yutong Xie
Developing structured clinical reasoning methods that integrate multi-stage patient information; studying longitudinal prognosis and training paradigms for clinical world models.
Research Intern ·
Advisors: Prof. Yuanchun Li , Prof. Yunxin Liu
Developed BudgetThinker for controllable chain-of-thought generation. Proportional control tokens and a two-stage training pipeline with reinforcement learning achieve over 95% budget adherence, with generalization to embodied spatial reasoning.
Research Intern ·
Advisor: Prof. Sai-Kit Yeung
Developed MaskGuide for lightweight marine segmentation through feature separation and purification. Tiny-MSAM achieves 99.4% of SAM's accuracy with 0.5% of its parameters at 164.7 FPS.
Research Intern ·
Advisor: Prof. Yang Yang
Studying open-vocabulary object detection and segmentation, including false-positive reduction and recognition of objects with diverse visual appearances.
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