Scholar
Shaofeng Yin
Google Scholar ID: lpKyrxAAAAAJ
Tsinghua University
Citations & Impact
Citations
60
H-index
2
i10-index
1
Publications
3
Co-authors
3
list available
Publications
Resume (English only)
Academic Achievements
- Publications: 'VisualMimic: Visual Humanoid Loco-Manipulation via Motion Tracking and Generation', 'Trajectory World Models for Heterogeneous Environments', 'iVideoGPT: Interactive VideoGPTs are Scalable World Models', 'RLVR-World: Training World Models with Reinforcement Learning'. Awards: SenseTime Scholarship (Top 30 undergraduates in China), Grand Prize (Top Award) in Student Academic Training Program, Tsinghua University (5/1852), Outstanding Poster Award in Student Academic Research Advancement Program, Tsinghua University (36/357), Comprehensive Excellence Award of Tsinghua University, Spark Scientific and Technological Innovation Fellowship (top 1%, most prestigious and selective academic organization for students at Tsinghua University), The First Prize of (National) Regional College Students’ Physics Contest, Comprehensive Excellence Award of Tsinghua University, Outstanding Academic Scholarship of Tsinghua University.
Research Experience
- Research Intern at Stanford Vision and Learning Lab (Feb. 2025 - Now), Research Intern at LeCAR Lab, CMU Robotics Institute (July - Aug. 2024), Research Intern at THUML, Tsinghua University (Sept. 2023 - Now).
Education
- B.S. in Information and Computing Science, Tsinghua University (2022-2026, expected), Zhili College, Tsinghua University, GPA: 3.95/4.00, Major GPA: 4.00/4.00, Major Rank: 1/30. Selected Courses: Numerical Analysis (A+), Students Research Training (A+), Artificial Neural Networks (A+), Principles of Signal Processing (A+), Abstract Algebra (A+), Discrete Mathematics (A+), Mathematical Programming (A), Introduction to Machine Learning (A), Measures and Integrals (A), Complex Analysis (A).
Background
- Currently a senior undergraduate at Tsinghua University, majoring in Information and Computing Science. Maintained a GPA of 3.95, ranking first in the major. Research interests include humanoid control, generalizable world modeling, and robotic manipulation. Aims to build robust primitive skills for humanoids through sim-to-real reinforcement learning or by leveraging human data, and then integrate these skills with planning to accomplish complex tasks.
Miscellany
- Personal interests and hobbies not mentioned.
