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职业迁徙
个人简介
My research interests are mainly in the areas of machine learning, focusing on Deep Learning, and natural language processing (NLP), focusing on (visual) language intelligence. More broadly, my research goal is targeted at research domains in which deep but flexible meaning representation, strong inference, and learnable knowledge have a large payoff: for example, language intelligence robotics. A sample, long-range application would be a personal assistant capable of interacting with many application systems to read from and affect the world. I have conducted research at Microsoft Research AI (MSR AI), centered around two themes: 1) neural symbolic approach for natural language processing, and 2) deep learning for visual-language intelligence. On the neural symbolic approach for NLP, we developed a new network architecture: the Tensor Product Generation Network (TPGN) for NLP, based on the general technique of Tensor Product Representations (TPRs) for encoding and processing symbol structures in distributed neural networks. On deep learning for vision-language intelligence, we proposed a hierarchically structured reinforcement learning approach to addressing the challenges of planning for generating coherent multi-sentence stories for the visual storytelling task. Finally, beyond pushing forward state-of-the-art research, I am a strong proponent of efficient and reproducible research. I also helped to ship the proposed techniques to Microsoft products and create real-world impact. We have been developing two bots, Caption Bot and Drawing Bot, in collaboration with Microsoft product team.
研究兴趣
论文共 78 篇作者统计合作学者相似作者
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Qiuyuan Huang,Naoki Wake, Bidipta Sarkar,Zane Durante,Ran Gong, Rohan Taori,Yusuke Noda,Demetri Terzopoulos, Noboru Kuno,Ade Famoti, Ashley Llorens, John Langford,
arxiv(2024)
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Zane Durante, Bidipta Sarkar,Ran Gong,Rohan Taori,Yusuke Noda, Paul Tang,Ehsan Adeli, Shrinidhi Kowshika Lakshmikanth, Kevin Schulman, Arnold Milstein,Demetri Terzopoulos, Ade Famoti,
CoRR (2024)
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Transactions of the Association for Computational Linguistics (2024): 247-263
Ruzhi Gong,Qiuyuan Huang, Xinbin Ma, Huy T. Vo,Zane Durante,Yusuke Noda, Zheng Zhou,Song‐Chun Zhu,Demetri Terzopoulos,Feifei Li,Jianfeng Gao
arXiv (Cornell University) (2023)
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CoRR (2023)
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