Scholar
Tairan He
Google Scholar ID: TVWH2U8AAAAJ
Carnegie Mellon University
Citations & Impact
Citations
930
H-index
14
i10-index
15
Publications
20
Co-authors
20
list available
Publications
Resume (English only)
Academic Achievements
- Invited talk on Scalable Sim-to-Real Learning for General-Purpose Humanoid Skills at GRASP SFI Seminar in Sep 2025; Passed PhD Thesis Proposal in Aug 2025; Hosted WhynotTV Podcast in Jul 2025; Received NVIDIA Graduate Fellowship in Dec 2024; Received CMU RI Presidential Fellowship in Nov 2024; ABS selected as Outstanding Student Paper Award Finalist at RSS 2024 in Jul 2024; Invited talk on Bridging safety, agility and generalization for learning-based robotic control at TechBeat in Apr 2024; Published papers: HDMI: Learning Interactive Humanoid Whole-Body Control from Human Videos, FALCON: Learning Force-Adaptive Humanoid Loco-Manipulation.
Research Experience
- Member of NVIDIA GEAR group led by Jim Fan and Yuke Zhu; Worked at Microsoft Research Asia.
Education
- Bachelor's degree in Computer Science from Shanghai Jiao Tong University, advised by Weinan Zhang; Third-year Ph.D. student at the Robotics Institute at Carnegie Mellon University, advised by Guanya Shi and Changliu Liu.
Background
- Research Interest: Robotics, large-scale machine learning, and general-purpose loco-manipulation; Goal: Robots that improve everyone's life.
Miscellany
- Loves working on humanoids and aims to make them capable of doing everything he can do—and more.
