CV
Basics
- Boyang YU
- Peking University, Beijing, China, 100871
Email: maverickyouknowwho@gmail.com Tel: +86-18519644705
Education
- 09/2020 – 08/2022: Peking University, Beijing, China
- Bachelor of Science in Physics, School of Physics
- Completed coursework for a Bachelor of Science in Physics for the first two years.
- Made a decision to transition to Computer Science and switched majors in 09/2022.
- Since 09/2022: Peking University, Beijing, China (Graduated in fall 2025)
- Bachelor of Science in Computer Science, School of Electronics Engineering and Computer Science.
- GPA: 3.60/4.00
Research Experiences
- 05/2023 - Present: Prof. Libin Liu’s group, PKU, China
- Projects:
- Proficient in commonly used kinematic algorithms including FK/IK, motion interpolation, and character physics control.
- Generating stylized and biologically plausible motion within a physics-driven environment:
- Implemented a new fatigue state action generation under 3-CC control using GAN-based reinforcement learning methods on Isaacgym.
- Currently engaged in refining AdaptNet for motion style transfer using GANs, integrating data generated from videos.
- Collaborated on muscle-driven motion generation and volumetric muscle simulation.
- Projects:
- 07/2023 – 09/2023: VCL (Visual Computing and Learning) Lab Summer School, PKU, China
- Projects:
- Successfully reproduced DeepMimic physics control deep reinforcement learning algorithm.
- Projects:
Selected Course Projects
- Achieve Real-time Motion Control in Kinematics/Physics Simulation:
- Utilized motion matching and interpolation smoothing in a Physics Simulator with PD control, achieving top score.
- Fine-Tuning the Segment-Anything Model and Integrating a Downstream Classifier:
- Fine-tuned the segment-anything model on medical CT dataset, achieving high accuracy in organ type identification.
Language Skills
- 06/2023: TOEFL R: 30 L: 27 S: 22 W: 21 Total: 100
Selected Awards
- Excellent Study Award from Peking University
- Wanglaoji Enterprise Scholarship
- Second-class scholarship for freshmen
Technical Skills
- Coding: C++, Python (including Pytorch)
- Machine learning: reinforcement learning, machine learning theory
- Graphics: character animation, physics simulation, rendering, NeRF
- Robotics: proficient in robot kinematics and dynamics, motion planning and control policy, simulation
- Generative models: Variational Autoencoders (VAE), Generative Adversarial Networks (GAN)
Download the PDF version of my CV here.