Yulei Niu
Research Scientist at ByteDance
San Jose, California, United States
Summary
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Senior🎓
Top SchoolYulei Niu is a Research Scientist at ByteDance with eight years of research experience spanning multimedia understanding, causal inference, and robust vision-language models. He completed a PhD at Renmin University of China and held postdoctoral positions at Nanyang Technological University and Columbia University, where he worked on causal methods for debiased reasoning and multimedia event analysis. His work covers video event grounding, event relation prediction, visual question answering, scene graph generation, and long-tailed recognition, often bridging theory and practical evaluation. He organized the "Causality in Vision" workshops at CVPR'21 and ECCV'22, signaling leadership in shaping community directions on causality for computer vision. Based in San Jose, Yulei blends academic rigor with industry impact and maintains a personal research website showcasing his publications and projects. Colleagues note his knack for turning principled causal ideas into scalable methods for messy real-world video and multimodal tasks.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Renmin University of China
Github Skills (3)
vision-and-language9
recursive8
dialog7
Programming languages (1)
Github contributions (5)
yuleiniu/rva
Jun 2019 - Nov 2019
Code for CVPR'19 "Recursive Visual Attention in Visual Dialog"
Contributions:6 commits, 11 pushes, 1 branch in 5 months
visual-dialogdialogrecursivevisual-attentionvision-and-language
yuleiniu/introd
Oct 2021 - Dec 2021
Contributions:2 commits, 1 push, 3 comments in 1 month
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