Andrew Jong

I am an incoming Master's student at the Robotics Institute, part of the School of Computer Science at Carnegie Mellon University. My Master's research focuses on robotics for disaster relief. I'm working on aiding wildfire management with autonomous UAVs.

I graduated in 2019 with a B.S. in Computer Science from San Jose State University. There, I founded ML@SJSU, the university's most successful machine learning student organization. My research focused on generative adversarial networks for virtual try-on, and was advised by Teng-Sheng Moh. I am continuing independent research in this domain with him and Ziwei Liu.

Email  /  GitHub  /  LinkedIn

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News

2020

  • September: Joined Carnegie Mellon's Robotics Institute as a Master's student.
  • June-August: Participating in the MineRL competition.
  • June: We won first place in the VUHCS video virtual try-on challenge at CVPR!
  • March-Now: Collaborating with Ziwei Liu and others on research in generative adversarial networks.
  • January-May: Interned at SenseBrain.

Research

I'm interested in reinforcement learning, learning from humans, and deep learning for computer graphics.

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Short Video Datasets Show Potential for Outfits in Augmented Reality


Andrew Jong, Teng-Sheng Moh
HPCS, 2019 (conference paper)
PDF / poster / slides /

Video views provide more information about a target user, meaning less training data overall.

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Deep Learning Classification of Estrous Phases in Mice


Andrew Jong, Yuli Talvansky, Eric Moyer, Joe Tash, Lane Christensen, Ryan Scott , April Ronca, Antonia Lindsey, Joshua Alwood
ASGSR, 2018 (conference poster+presentation)
poster / slides /

Classify cell phases using convolutional neural networks.

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Generating Bilingual Pragmatic Color References


Will Monroe, Jennifer Hu, Andrew Jong, Christopher Potts
NAACL HLT, 2018 (conference paper)
PDF /

Augment a neural model’s understanding of contextual language (pragmatics) with bilingual datasets.



Projects

Non-research projects.

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ML-4-HighSchool


project, ML@SJSU
2020-09-26

Machine learning is the future, so we’re investing in our future generations. We’re hosting an 8-week workshop series to teach machine learning to high schoolers from underrepresented communities! Expected to have 10 mentors and 50 students. Project in collaboration with the non-profit Code4Tomorrow and ML@SJSU.

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KitchApp


project, SJSU CS 161
2019-12-01
code /

Mobile computer vision AI cooking assistant. Scans your ingredients and recommends recipes.




I got this sleek website from here.