CV

See the pdf version here

Education

• M.S. in Robotics, Carnegie Mellon University, 2025(expected)
• B.S. in Computer Science, Tsinghua University, 2023

Work experience

• Fall 2022 - Spring 2023
  • Research Assistant, Tsinghua University, IIIS
  • Supervisor: Huazhe Xu
  • Research Topic: Vision Language Models for Visual RL
    • Designed a learning pipeline that could leverage the knowledge from large-scale pre-trained text-to-image generation models for example-based visual reinforcement learning.
• Summer 2022
  • On-Site Research Assistant, Stanford University, CogAI & SVL Lab
  • Supervisor: Ruohan Zhang, Jiajun Wu, Fei-fei Li
  • Research Topic: Preference Learning
    • Implemented a sample-efficient and user-friendly preference learning framework and performed real-robot experiments with human users.
• Fall 2021 - Spring 2021
  • Remote Research Assistant, Stanford University, CogAI Lab
  • Supervisor: Ruohan Zhang, Huazhe Xu, Jiajun Wu
  • Research Topic: Multi-task Imitation Learning
    • Proposed a novel concurrent multi-task imitation learning setting, and a bootstrapping learning algorithm for the problem.
• Summer 2021
  • Maching Learning Intern, Microsoft, China
  • Supervisor: Tianqi Zhao(mentor), Fantasy Zhang(manager)
  • Research Topic: Large Language Generation Models
    • Designed a network structure combining BART with CVAE to perform sequence-to-sequence Ad-Title generation from landing pages.
• Spring 2020 - Fall 2020
  • Research Assistant, Tsinghua University, ECE Department
  • Supervisor: He Tian
  • Research Topic: Hardware for ML
    • Developed a CBRAM model that can be used as an artificial synapse for neural networks.

Skills

• C/C++
  • Object Oriented Programming
  • Qt for desiging programs with GUI
  • Multiprocessing packages including OpenMP, MPI
• Python
  • Data Processing packages including numpy, pandas
  • Proficient in PyTorch
• Java
  • Android Development
• R
• LaTeX
• CUDA
• Verilog/VHDL
• Rust