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Section: Publications & Resources
Publication: IEEE Signal Processing Magazine
With the advent of large language models (LLMs), the concept of artificial intelligence (AI) agents capable of decision making and action execution has gained prominence, particularly as LLMs demonstrate increasing proficiency in tool use and task planning. Following these advancements, the established methods used for task-oriented dialogue (TOD) systems have undergone a paradigm shift by integrating LLMs’ revolutionary language understanding and reasoning skills with enhanced instruction following and response generation abilities.
Section: Publications & Resources
Publication: IEEE Signal Processing Magazine
Fractional programming (FP) is a branch of mathematical optimization that deals with the optimization of ratios. It is an invaluable tool for signal processing and machine learning, because many key metrics in these fields are fractionally structured, e.g., the signal-to-interference-plus-noise ratio (SINR) in wireless communications, the Cramér-Rao bound (CRB) in radar sensing, the normalized cut in graph clustering, and the margin in support vector machine (SVM).
Section: Events
Date: 09-December-2025Time: 09:30 AM ET (New York Time)Presenter: Dr. Magdalena FuentesAbout this topic:
Section: Events
Date: 20-November-2025Time: 09:30 AM ET (New York Time)Presenter: Dr. Lin ZhangBased on the IEEE Xplore® article titled: “The Partial Spoof Database and Countermeasures for the Detection of Short Fake Speech Segments Embedded in an Utterance”Published: IEEE/ACM Transactions on Audio, Speech, and Language Processing, December 2022.
