July 18, 2016
QoS Enhancement of Wireless Video Networking
This project aims to further improve the quality of service (QoS) techniques for WiMAX/LTE 4G protocol stacks. We are working on a scheduling algorithm based on multiple-input multiple-output (MIMO) for not only transmitting traditional videos, but also transmitting videos with scalable coding. Moreover, the feedback resource allocation algorithm can be extended to a MIMO system…
Cochlear Implants Prototyping Environment
Cochlear implants are electronics embedded in the ears of deaf patients to help them regain their hearing. To help drive further growth in the quality of these systems, we are developing a field-programmable gate array (FPGA) -based Bluetooth interface between the cochlear systems and a smartphone, so that new algorithms can be prototyped and deployed…
High Stress Semiconductor Device Operation
This work investigates the operational characteristics of field-effect transistors under extreme conditions of temperature, radiation, corrosion and mechanical stress. The objective is to find the ultimate limits to device operation in hostile environments and to design circuits which can operate successfully within these extremes.
Learning to Ground Language into Algebra Equations
Web data and newspapers usually report statistical assessments or mathematical analyses over numerical quantities. Designing algorithms to automatically understand these textual descriptions precisely is beneficial for financial companies, government or search engines. As a first step toward this goal, we focus on solving algebra word problems by mapping natural language texts into algebra equations.
Large-Scale Knowledge Extraction from Language and Vision
Everyday knowledge, however trivial it is to humans, is extremely broad and complex and is an essential component to current and future AI systems. This project focuses on constructing a large-scale knowledge repository by deep integration between language and vision. Such statistical and sharable knowledge repository is operationalized as (i) spatial, (ii) temporal and (iii)…
Learning to Read, Ground, and Reason in Multimodal Text
Web data, news and textbooks offer informative but unstructured multimodal text. The ability to translate multimodal text into a semantic representation that is amenable to further reasoning is a fundamental problem in modern AI. In this project we design systems that can understand and use multimodal text through multiple interconnected components: semantic interpretation, multimodal alignment,…
Diagram Interpretation and Reasoning via Spoon Feed Learning
Diagram interpretation, an essential element in question answering, is the problem of identifying visual entities, properties, relations and correspondences to specialized knowledge repositories. Previous work uses hand-engineered rules for understanding specific diagrams. In this project, we introduce a unified, end-to-end framework to diagram interpretation and reasoning that is applicable to a wide range of diagrams.
Language Grounding by Understanding and Generating Narratives for Dynamic Environments
Language is given meaning through its correspondence with a world representation. This correspondence can be at multiple levels of granularity or resolutions. In this project, we study multi-resolution language grounding in multiple domains of sport commentaries, geometry questions and images. This project aims at building a framework to learn to understand and generate narratives for…
Bioaccelerators
Modern next-generation sequencing (NGS) technologies have greatly reduced the cost of full genome sequencing. As the chemical aspect of the sequencing process becomes faster and more parallel, the computational components become a more and more significant component of the cost and time. This research project develops field-programmable gate array (FPGA) -based implementations of key genomics…
Large Hadron Collider Electronics
The Large Hadron Collider (LHC), located at CERN in Geneva, Switzerland, is the world’s largest particle physics experiment. Famous for demonstrating the existence of the Higgs boson, it relies on field-programmable gate array (FPGA) -based computation to capture, identify, filter and transmit events for further software processing. In collaboration with CERN and Shih-Chieh Hsu (UW…
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