Scholar
Jialu Gao
Google Scholar ID: PokBJE0AAAAJ
Microsoft AI
Citations & Impact
Citations
61
H-index
4
i10-index
3
Publications
5
Co-authors
0
Publications
Resume
Academic Achievements
- 1. One paper accepted at NeurIPS 2023.
- 2. Paper “A Dual Representation Framework for Robot Learning with Human Guidance” accepted by CoRL 2022.
- 3. Paper “The Origin of CBRAM With High Linearity, ON/OFF Ratio, and State Number for Neuromorphic Computing” accepted at IEEE-TED 2021.
Research Experience
- 1. Working with Prof. Fernando De La Torre and Dr. Joseph K J at Carnegie Mellon University on evaluation for vision language models.
- 2. Worked with Prof. Huazhe Xu at Tsinghua University on reinforcement learning.
- 3. Collaborated with Dr. Ruohan Zhang at Prof. Jiajun Wu’s Lab at Stanford University on Human-robot interaction.
- 4. Served as a Deep Learning Intern at Microsoft China in July 2021.
- 5. Became a visiting research intern at Stanford in July 2022.
Education
- 1. Master's degree at the Robotics Institute, Carnegie Mellon University, Advisors: Prof. Fernando De La Torre, Dr. Joseph K J
- 2. Bachelor's degree in Engineering from the Department of Computer Science, Tsinghua University, Advisor: Prof. Huazhe Xu
Background
- First-year master student at the Robotics Institute, Carnegie Mellon University, specializing in Robotics/RL and Deep Learning.
Miscellany
- Personal interests and other information not provided.