Li Deng is the Chief Artificial Intelligence Officer of Citadel since May 2017. Prior to Citadel, he was the Chief Scientist of AI, the founder of Deep Learning Technology Center, and Partner Research Manager at Microsoft. Prior to Microsoft, he was a tenured full professor at the University of Waterloo in Ontario, Canada as well as teaching and conducting research at MIT (Cambridge), ATR (Kyoto, Japan) and HKUST (Hong Kong). He is a Fellow of the IEEE, a Fellow of the Acoustical Society of America, and a Fellow of the ISCA. He has also been an Affiliate Professor at University of Washington since 2000. He was an elected member of Board of Governors of the IEEE Signal Processing Society, and was Editors-in-Chief of IEEE Signal Processing Magazine and of IEEE/ACM Transactions on Audio, Speech, and Language Processing (2008-2014), for which he received the IEEE SPS Meritorious Service Award. In recognition of the pioneering work on disrupting speech recognition industry using large-scale deep learning, he received the 2015 IEEE SPS Technical Achievement Award for “Outstanding Contributions to Deep Learning and to Automatic Speech Recognition.” He also received numerous best paper and patent awards for the contributions to artificial intelligence, machine learning, natural language processing, information retrieval, multimedia signal processing, and speech processing. He is an author or co-author of six technical books.
Yang Liu is an associate professor at the Department of Computer Science and Technology, Tsinghua University. He received his Ph D degree from the Chinese Academy of Sciences Institute of Computing Technology in 2007. His research focuses on natural language processing and machine translation. He has published over 50 papers in leading NLP/AI journals and conferences such as Computational Linguistics, ACL, AAAI, EMNLP, and COLING. He won the COLING/ACL 2006 Meritorious Asian NLP Paper Award and the National Science and Technology Progress Award second prize. He served as Associate Editor of ACM TALLIP, ACL 2014 tutorial co-chair, ACL 2015 local arrangement co-chair, IJCAI 2016 senior PC, ACL 2017 area co-chair, EMNLP 2016 area co-chair, SIGHAN information officer, and the general secretary of the Computational Linguistics Technical Committee of Chinese Information Processing Society.
8 Ebooks oleh Li Deng
Dong Yu & Li Deng: Automatic Speech Recognition
This book provides a comprehensive overview of the recent advancement in the field of automatic speech recognition with a focus on deep learning models including deep neural networks and many of thei …
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€149.79
Keiji Maruoka: Science of Synthesis: Asymmetric Organocatalysis Vol. 2
Asymmetric Organocatalysis 2 from the Science of Synthesis series gives an authoritative, broad overview of the field, compiled by 3 8 experts, as well as a critical presentation of the best organoca …
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€259.99
K. Maruoka: Science of Synthesis: Asymmetric Organocatalysis Vol. 2
Asymmetric Organocatalysis 2 from the Science of Synthesis series gives an authoritative, broad overview of the field, compiled by 3 8 experts, as well as a critical presentation of the best organoca …
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€259.99
Li Deng & Yang Liu: Deep Learning in Natural Language Processing
In recent years, deep learning has fundamentally changed the landscapes of a number of areas in artificial intelligence, including speech, vision, natural language, robotics, and game playing. In par …
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€160.49
Li Deng & Yifan Gong: Robust Automatic Speech Recognition
Robust Automatic Speech Recognition: A Bridge to Practical Applications establishes a solid foundation for automatic speech recognition that is robust against acoustic environmental distortion. It pr …
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€105.10
Li Deng & Douglas O’Shaughnessy: Speech Processing
Based on years of instruction and field expertise, this volume offers the necessary tools to understand all scientific, computational, and technological aspects of speech processing. The book emphasi …
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€222.36
Aleksandr Aravkin & Anna Choromanska: Log-Linear Models, Extensions, and Applications
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€110.41
Aleksandr Aravkin & Anna Choromanska: Log-Linear Models, Extensions, and Applications
Advances in training models with log-linear structures, with topics including variable selection, the geometry of neural nets, and applications.Log-linear models play a key role in modern big data an …
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€244.02