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Hanlin Tang, Ph.D. is a Principal Engineer at Intel’s AI Products Group, where he directs computer vision research and applications. His team is also responsible for algorithm-hardware co-design of next generation accelerators, and federal AI projects. Hanlin joined Intel from its acquisition of the deep learning startup Nervana Systems. At both Intel and Nervana, he has contributed to the development of deep learning frameworks, and deployed algorithms in domains ranging from remote sensing to computational neuroscience. Hanlin received his Ph.D. from Harvard University, where he applied recurrent neural networks to study the human visual system. His research has appeared in scientific journals such as Neuron, Scientific Reports, and eLife.
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论文共 38 篇作者统计合作学者相似作者
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user-5fe1a78c4c775e6ec07359f9(2021)
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REPL4NLP 2021: PROCEEDINGS OF THE 6TH WORKSHOP ON REPRESENTATION LEARNING FOR NLP (2021): 263-276
International Conference on Learning Representations (2020)
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MM '20: The 28th ACM International Conference on Multimedia
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October, 2020 (2020): 2590-2598
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