Yunlong Tang
PhD Candidate
City of Rochester, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolYunlong Tang (Yolo, 芸珑) is a PhD candidate at the University of Rochester specializing in large multimodal models and agentic systems for video understanding, aiming to build general-purpose video agents. With six years of research experience and internships at Amazon, ByteDance, and Tencent, she blends academic rigor with industry-scale problem solving. Her work spans LMMs and agents applied to video, reflecting a focus on multimodal reasoning and real-world deployment challenges. Originally trained in Intelligence Science and Technology at Southern University of Science and Technology, she brings strong foundations in both theory and applied research. Outside papers, her homepage documents ongoing projects that bridge cutting-edge video modeling with practical agent behaviors, signaling an appetite for systems that interact with complex visual environments.
6 years of coding experience
1 year of employment as a software developer
Bachelor of Engineering - BE, Intelligence Science and Technology, Bachelor of Engineering - BE, Intelligence Science and Technology at 南方科技大学Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Rochester
Github Skills (28)
spectrum8
speech8
nlp7
science7
deep-learning6
machine-learning6
python6
salesforce5
computer-vision5
vision-and-language5
vision-framework5
multimodal-deep-learning5
artificial-intelligence4
pytorch4
multimodal3
Programming languages (4)
Github contributions (5)
yunlong10/yunlong10.github.io
May 2020 - Sep 2021
Contributions:50 pushes, 1 branch in 1 year 4 months
yunlong10/Awesome-LLMs-for-Video-Understanding
Oct 2023 - Jan 2025
🔥🔥🔥Latest Papers, Codes and Datasets on Vid-LLMs.
Contributions:11 PRs, 55 pushes, 1 comment in 1 year 4 months
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