基本信息
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Bio
Guangzhi Sun (Member, IEEE) received the B.A. and M.Eng. degrees from the Trinity College, University of Cambridge, Cambridge, U.K., in 2019, and the Ph.D. degree with the Department of Engineering, University of Cambridge, Cambridge, U.K., under the supervision of Prof. Phil Woodland and advised by Prof. Mark Gales on contextual knowledge integration in end-to-end neural-based conversational AI systems. He is currently a Research Associate with the Machine Intelligence Lab, University of Cambridge. His research interests focuses on controllable and reliable multi-modal conversational AI with large language models. He held a Research Internship at Google Brain with Dr. Yu Zhang in 2019 and ByteDance with Dr. Wei Li in 2023. He was the recipient of the Best Student Paper in interspeech 2022.
Research Interests
Papers共 24 篇Author StatisticsCo-AuthorSimilar Experts
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CoRR (2024)
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arxiv(2024)
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CoRR (2024)
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IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSINGno. 99 (2024): 2407-2417
Xiaoliang Luo, Akilles Rechardt,Guangzhi Sun, Kevin K. Nejad,Felipe Yáñez, Bati Yilmaz,Kangjoo Lee, Alexandra O. Cohen,Valentina Borghesani, Anton Pashkov,Daniele Marinazzo, Jonathan Nicholas,
CoRR (2024)
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ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)pp.11236-11240, (2024)
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024): 10986-10990
International Conference on Conversational User Interfacespp.1-6, (2024)
Jeff Hwang, Moto Hira, Caroline Chen,Xiaohui Zhang,Zhaoheng Ni,Guangzhi Sun,Pingchuan Ma, Ruizhe Huang,Vineel Pratap,Yuekai Zhang,Anurag Kumar,Chin-Yun Yu,
CoRR (2023): 1-9
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