基本信息
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职业迁徙
个人简介
My research is focused on developing machine learning methods capable of handling diverse and heterogeneous data sources. In particular, I utilize and develop techniques in optimal transport, Bayesian nonparametric models, domain adaptation/generalization, and large model pretraining & fine-tuning. The ultimate goal of my work is to enable generalizable and reliable machine learning applications in critical sectors, such as healthcare and robotics.
研究兴趣
论文共 45 篇作者统计合作学者相似作者
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Jielin Qiu,Jiacheng Zhu,William Han, Aditesh Kumar, Karthik Mittal, Claire Jin,Zhengyuan Yang,Linjie Li,Jianfeng Wang,DING ZHAO,Bo Li,Lijuan Wang
CVPR 2024 (2024)
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Jielin Qiu,Jiacheng Zhu,Shiqi Liu,William Han, Jingqi Zhang, Chaojing Duan,Michael A. Rosenberg,Emerson Liu,Douglas Weber,Ding Zhao
arXiv (Cornell University)pp.480-497, (2023)
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Jielin Qiu,Peide Huang,Makiya Nakashima, Jaehyun Lee,Jiacheng Zhu,Wilson Tang,Pohao Chen,Christopher Nguyen,Byung-Hak Kim, Debbie Kwon,Douglas Weber,Ding Zhao,
CoRR (2023)
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IEEE Robotics and Automation Lettersno. 99 (2023): 1-8
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