Experiences

Education Background

• Ph.D. in Computer Science, Johns Hopkins University, 2023 - Present;
• M.S. in Data Science, University of Southern California, 2021 - 2023;
• B.S. in Statistics, Renmin University of China, 2017 - 2021.

Working Experiences

• Advanced Micro Devices, Inc. (AMD) | Research Intern (Remote, US)
  Jun. 2024 – Present
  • Advisor: Dr. Jiang Liu
  • Research Topic: Multimodal conditioning video generation
  • Project Description:
    • Built a video generation diffusion model for dynamic motion conditioned on audio and image inputs;
    • Evaluated temporal alignment between given audio and the generated video.
• Samsung R&D Institute China-Beijing (SRC-B) | Research Intern
  Dec. 2020 – Jun. 2021, Beijing, China
  • Advisor: Dr. Yang Liu
  • Research Topic: Embodied AI; Reinforcement learning
  • Project Description:
    • Proposed a method combining language hints with object template matching for human-guided reinforcement learning, enhancing learning efficiency;
    • Developed a solution for the ALFRED benchmark (Embodied AI @ CVPR 2021), integrating instance segmentation and depth estimation to ground object positions on a bird’s-eye-view map and generate language-guided navigation paths.
• Wangxuan Institute of Computer Technology, Peking University | Research Intern
  Sep. 2019 – Feb. 2020, Beijing, China
  • Advisor: Prof. Yongtao Wang
  • Research Topic: Semantic segmentation
  • Project Description:
    • Focused on multi-scale feature learning methods for improving semantic segmentation performance.

Teaching Experiences

• DSCI 552 - Machine Learning for Data Science @USC
  by Prof. Mohammad Reza Rajati.
  Spring 2022 - Spring 2023.
  Course Producer.

See more here (pdf)