The thesis focuses on developing contactless sensing solutions for everyday use, specifically targeting human vital signs and user-object interactions by leveraging radar vibrometry. Current sensing technologies for...
The thesis focuses on developing contactless sensing solutions for everyday use, specifically targeting human vital signs and user-object interactions by leveraging radar vibrometry. Current sensing technologies for...
The goal of k-nearest neighbor (k-NN) search is to find the top-k similar items for a given query. This task is a widely used subroutine in search, recommendation, question-answering and many other applications in data...
There's never been a better time to consider a master's in computer science. The U.S. Bureau of Labor Statistics projects 15 percent job growth in computer and information research science through 2029, much faster than...
The meteoric rise in the popularity of public engagement platforms such as social media, customer review websites, and public input solicitation efforts strives for establishing an inclusive environment for the public to...
Black-box variational inference (VI) is crucial in probabilistic machine learning, offering an alternative for performing Bayesian inference. By requiring only black-box access to the model and its gradients, it recasts...
There's never been a better time to consider a master's in computer science. The U.S. Bureau of Labor Statistics projects 15 percent job growth in computer and information research science through 2029, much faster than...
Substantial progress has been made in the field of natural language processing (NLP) due to the advent of large language models (LLMs), i.e., deep neural networks with millions or billions of parameters pre-trained on...
The field of computer vision has seen significant advancements in recent years, resulting in a range of practical applications, such as virtual and augmented reality and self-driving cars. However, the reliance on costly...
This event is open to staff, postdocs, research fellows, and senior research fellows.
Please take a break from your computer, grab some ice cream, and get to know your CICS colleagues. This will especially be a...
Abstract:
Given an undirected weighted graph G, finding the maximum weighted matching (MWM) on G is one of the most classic combinatorial optimization problems. In distributed graph algorithms (such as CONGEST and...