Weijie Su is a research-focused software engineer with seven years of experience specializing in visual-linguistic AI and model interpretability. Currently a research intern at SenseTime and affiliated with Shanghai AI Laboratory, he previously interned at Microsoft and holds an MS in Information and Communication Engineering from the University of Science and Technology of China. His contributions to the VL-BERT project include attention visualization tooling that helps interpret and debug multimodal pretraining models, highlighting a practical bent for making complex models more transparent. Comfortable moving between research and engineering, he combines a strong mathematical background in computational and applied mathematics with hands-on ML implementation skills. Colleagues describe him as detail-oriented and curious, often focusing on the visualization and analysis that bridge experiments and insights.
8 years of coding experience
Master of Science - MS, Information and Communication Engeering, Master of Science - MS, Information and Communication Engeering at University of Science and Technology of China
Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".
Role in this project:
ML Engineer
Contributions:24 commits, 3 PRs, 22 pushes in 7 months
Contributions summary:Weijie contributed to the visualization aspects of the "VL-BERT" project, a pre-training model for visual-linguistic tasks. Their commits added and modified code to create visualizations related to the model's attention mechanisms, as demonstrated in Jupyter Notebooks. These visualizations likely aid in understanding and debugging the model's behavior within the vision and language domain.
Contributions:59 pushes, 2 branches in 6 years 11 months
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