Peng Li
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About
Professor Peng Li is a faculty member at the University of California Santa Barbara, USA. His research areas encompass machine learning, neural networks, and optimization techniques, as evidenced by his recent articles on topics such as biologically plausible neural systems, large language models, and particle accelerators. His work includes innovative approaches to reinforcement learning, spiking neural networks, and uncertainty-aware models, impacting both theoretical and practical applications in these fields.
Recent Grants
Grant: Close
Statistical Analog Design Property Checking
Open Date: 2013-08-01
Close Date: 2017-07-01
Grant: Close
Analysis and Characterization of Switched-Mode DC-DC Power Converters
Open Date: 2013-02-01
Close Date: 2016-01-01
Articles (10)
Year:
2025
Year:
2025
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2025
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2024
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2023
Year:
2023
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2023
Year:
2022
Year:
2022
Year:
2020
Collaborators (1)
Xiaoning Qian
Professor
Texas A&M University
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