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个人简介
My research lies at the intersection of machine learning and optimization, and targets applications in computer vision and signal processing. I work at the boundary between theory and practice, leveraging mathematical foundations, complex models, and efficient hardware to build practical, high-performance systems. I design optimization methods for a wide range of platforms ranging from powerful cluster/cloud computing environments to resource limited integrated circuits and FPGAs. Before joining the faculty at Maryland, I completed my PhD in Mathematics at UCLA, and was a research scientist at Rice University and Stanford University. I have been the recipient of several awards, including SIAM’s DiPrima Prize, a DARPA Young Faculty Award, and a Sloan Fellowship.
研究兴趣
论文共 252 篇作者统计合作学者相似作者
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CoRR (2024)
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Bang An,Mucong Ding,Tahseen Rabbani,Aakriti Agrawal,Yuancheng Xu, Chenghao Deng,Sicheng Zhu, Abdirisak Mohamed,Yuxin Wen,Tom Goldstein,Furong Huang
CoRR (2024)
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