cv

General Information

Full Name Yuxiang Guo
Date of Birth 10th Feb 1997
Languages Mandarin, English

Education

Experience

  • 2022.01 - Present
    Graduate Research Assistant
    Whiting School of Engineering, Johns Hopkins University, Baltimore, Maryland, US
    • As a part of Biometric Recognition and Identification at Altitude and Range (BRIAR), built gait recognition pipeline to identify human from long range, i.e., 500m and aerial sensor platforms, i.e., 50°. Proposed DME is integrated as a part of final pipeline.
    • Developed a robust 3D scene reconstruction algorithm leveraging accurate camera pose information from SfM and dense point clouds from 3D geometry reconstruction methods, achieving high fidelity under challenging sparse view conditions.
    • Supervised by Prof. Rama Chellappa and Prof. Cheng Peng
  • 2024.02 - 2024.05
    Student Associate
    Honda Research Institute, San Jose, California, US
    • Utilized the prior knowledge of Large Language Model to integrate the language and visual clues and predict viewers’ emotion when they watch a video; introduced spatiotemporal emotion stimuli and detailed explanations, enhancing the interpretability and efficiency of the model.
    • Mentored by Dr. Shao-Yuan Lo
  • 2025.03 - 2025.09
    Research Intern (Remote)
    Advanced Micro Devices, Santa Clara, California, US
    • Developed ImageDoctor, a vision-language evaluation framework that provides multi-aspect scores and spatially grounded feedback for text-to-image generation through grounded image reasoning and reinforcement learning.
    • Mentored by Dr. Jiang Liu
  • 2025.10 - 2025.12
    Student Researcher
    Google, Mountain View, California, US
    • Enhanced edge-device familiar-face detection by integrating gait recognition to ensure reliability when face recognition fails.
    • Hosted by Cheng Zhong
  • 2020.03 - 2021.03
    Graduate Research Assistant
    Department of Electrical and Computer Engineering, Northwestern University, Evanston, Illinois, US
    • Employed the Fourier Descriptor to execute a formula recognizer which identifies multiple formulas in a picture. Applied a tree graph to describe the structure and further get the Latex form of the formula
    • Supervised by Prof. Ying Wu and Prof. Jiahuan Zhou
  • 2020.06 - 2020.09
    Software Engineer Intern
    Snips Media, Chicago, Illinois, US
    • Reconstructed 3D body shapes from 360-degree video footage and extracted images at specific angles for diagnostic purposes, utilizing AliceVision, a C++ library, to construct the 3D structure.
    • Mentored by Prof. David Zaretsky
  • 2020.01 - 2020.03
    Graduate Research Assistant
    Department of Electrical and Computer Engineering, Northwestern University, Evanston, Illinois, US
    • Developed an adaptive band-pass filter to reduce noise in acoustic signals, leveraging the adaptive boost method and frequency signal analysis to classify the presence of gunshots in a reserve environment, achieving an overall accuracy exceeding 97%.
    • Supervised by Prof. Stephen Tarzia
  • 2018.09 - 2019.06
    Undergrade Researcher
    University of Electronic Science and Technology of China, Chengdu, Sichuan, China
    • Designed and implemented a Visual Question Answering (VQA) system by fusing image feature maps extracted using ResNet-152 (via transfer learning) with question features generated by an LSTM model.
    • Supervised by Prof. Le Dong

Honors and Awards