Lun Huang
Research Scientist at ByteDance
United States
Summary
👤
Senior🎓
Top SchoolLun Huang is a PhD candidate in Electrical and Computer Engineering at Duke University specializing in deep learning, multi-modal learning, and text-to-video generation. As a research assistant with internships at Microsoft, Tencent, and ByteDance, Lun has worked on practical systems like Godiva for open-domain video generation and on AutoML and RL for game AI. A Visiting Student at Princeton, Lun bridges rigorous academic research with industry impact, bringing 11 years of experience across research and engineering roles. They focus on generating dynamic visual content from natural language and advancing cross-modal representations. Notably, Lun combines strong theoretical grounding from Peking University and Huazhong University with hands-on implementation skills demonstrated in high-profile internships. This blend enables Lun to translate novel ML ideas into scalable, experiment-driven prototypes.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at Duke UniversityMaster's degree, Computer Science, Master's degree, Computer Science at Peking UniversityBachelor of Engineering - BE, Electrical, Electronics and Communications Engineering, Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering at Huazhong University of Science and TechnologyVisiting Student, ECE, Visiting Student, ECE at Princeton University
Github Skills (12)
attention-mechanism10
acceleration8
seq2seq8
point-cloud7
computer-vision7
text-to-image7
pytorch6
deep-learning6
autoregressive-models6
survey6
multimodal5
image-generation4
Programming languages (2)
Github contributions (5)
husthuaan/AoANet
Aug 2019 - Dec 2019
Code for paper "Attention on Attention for Image Captioning". ICCV 2019
Contributions:9 commits, 8 pushes, 1 branch in 3 months
pytorchiccviccv-2019deep-learningimage-captioning
husthuaan/AAT
Sep 2019 - Dec 2019
Code for paper "Adaptively Aligned Image Captioning via Adaptive Attention Time". NeurIPS 2019
Contributions:4 commits, 4 pushes, 1 branch in 3 months
image-captioningseq2seqattention-mechanismneurips-2019neurips
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