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Eric Tan & Tan Xin Yi (IMDA) – GPT-Legal (Long Text Summarization)
GPT-Legal (GPTL) is strategically poised to elevate the capabilities of LawNet, a widely endorsed platform that serves as the cornerstone for legal research for an impressive 75% of Singapore’s legal practitioners.
HO Pin
Adjunct Associate Professor
ESD Research Seminar by Themis Gouleakis – Beyond worst-case: The rise of learning-augmented online algorithms
ESD Research Seminar by Themis Gouleakis – Online algorithms are traditionally analysed in adversarial worst-case settings, leading to guarantees that often fail to capture practical performance. The emerging framework of learning-augmented algorithms integrates machine-learned predictions into online decision making while preserving rigorous guarantees.
ESD Seminar by Neiwen Ling – Time-sensitive AI systems for physical agents: From DNN perception to LLM planning
ESD Seminar by Neiwen Ling – Research on developing time-sensitive AI systems, focusing on Deep Neural Network (DNN)-based perception and LLM-driven planning will be presented in this talk.
ESD Research Seminar by Max Li – Airspace and air traffic management in the age of uncrewed aerial systems
ESD Research Seminar by Max Li – Recent projects related to weather-dependent service reliability of drone package deliver operations, UAS operations optimisation for hazardous environment navigation, as well as airspace congestion management for larger, air taxi-type vehicles will be discussed in this talk.
Geoffrey Chua (Nanyang Technological University) – An Algorithmic Approach to Managing Supply Chain Data Security: The Differentially Private Newsvendor
Geoffrey Chua (Nanyang Technological University) – An Algorithmic Approach to Managing Supply Chain Data Security: The Differentially Private Newsvendor
ESD Research Seminar by Lun Yu – Near-optimal data-driven control for assemble-to-order systems
ESD Research Seminar by Lun Yu – The literature on periodic-review assemble-to-order (ATO) systems has long assumed that the demand distribution is exactly known. In practice, this may not be true and only a limited sample of historical demand data is available. In this paper, we study data-driven ATO systems under the criteria of long-run average cost
CAMBURN Bradley
Senior Lecturer, Cheng Tsang Man Teaching Chair Professor
Vincent Leon (University of Illinois at Urbana-Champaign) – Limited-Trust in Diffusion of Competing Alternatives Over Social Networks & Apurv Shukla (Texas A&M University) – Differentially Private Online Resource Allocation – Engineering Systems and Design (ESD)
Limited-Trust in Diffusion of Competing Alternatives Over Social Networks & Apurv Shukla (Texas A&M University) – Differentially Private Online Resource Allocation