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职业迁徙
个人简介
My research interests lie in Multimodal Machine Learning. The central goal of my research is to design scalable inference and learning algorithms to connect language, perception, and control for robust multimodal learning. I strive to achieve this by learning the unique modality equivalence through abstract multimodal representations. My current research lies in the foundations of multimodal learning with applications in multimedia, computer vision, natural language processing, healthcare, and embodied AI. My research is generously supported by CMU CSD fellowships and fundings from DARPA, NSF, Adobe, Allegheny Health Network, and Cleveland Clinic.
研究兴趣
论文共 30 篇作者统计合作学者相似作者
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EMNLP 2023 (2023): 1789-1804
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WACVpp.5177-5187, (2023)
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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CVPR 2023 (2023): 14867-14878
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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