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The core of my research work is the application of (stochastic) signal processing, machine learning and non-linear optimization, mostly duality theory and dynamic programming, to the fields of intelligent networks, artificial intelligence, and network science. Nowadays, I have a growing interest in understating the relationship between data science and graph theory. Development of signal processing and machine learning algorithms tailored to graphs and networks will have a great impact into the emerging fields of intelligent and dynamic networks, social networks, and big data.
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论文共 177 篇作者统计合作学者相似作者
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CoRR (2024)
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ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)pp.5975-5979, (2024)
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)pp.1-5, (2023)
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2023 IEEE 9TH INTERNATIONAL WORKSHOP ON COMPUTATIONAL ADVANCES IN MULTI-SENSOR ADAPTIVE PROCESSING, CAMSAPpp.406-410, (2023)
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D-Core
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