Upcoming Events

Mining Semantic Patterns from Text

Master's Defense
Speaker Name
Xiaoming Liu
Location
Talk will be virtual on Zoom
Date and Time
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In this project we study the problem of extracting semantic patterns from sentences to assist with several text analysis tasks, such as identifying checkworthy claims from text and parsing such claims into representations amenable to automatic fact-checking. We leverage NLP tools to parse each sentence into a tree presentation, and replace each specific token with appropriate, more general labels useful for identifying their semantic roles. Substructures in this parse tree serve as our patterns of interest.

Modeling Cooperative Binding of Transcription Factors to DNA

Master's Defense
Speaker Name
Farica Zhuang
Location
Talk will be virtual on Zoom
Date and Time
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Transcriptional regulatory networks, composed of regulatory proteins and their target genes, control many aspects of cell development and physiology. One important class of regulatory proteins are transcription factors (TFs), which bind to DNA in a sequence specific manner to regulate gene expression. In the human genome, TFs often bind in clusters, i.e. two or more DNA binding sites in close proximity to each other. However, the binding of TFs to clusters of sites is not well understood.

Supporting Domain-Specific Complex Natural Language Queries

Master's Defense
Speaker Name
Yanlin Yu
Location
Talk will be virtual on Zoom
Date and Time
-

This project considers the problem of automatically converting questions and claims in natural language to potentially complex SQL queries over a domain-specific database. By "complex," we mean that the queries are analytical in nature, often involving aggregation and subqueries, as opposed to focusing on retrieval, which traditional natural language querying interfaces are designed for.

Fine Tune Remote Control of a Robotic Arm

Master's Defense
Speaker Name
Xinyi Hong
Location
Talk will be virtual on Zoom
Date and Time
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As robot autonomy increases, new challenges occur in human-robot interaction (HRI) studies. Investigations on HRI involving different levels of autonomy (LOA) benefit both the operator and system performance. In order to provide a high level of semi-autonomous control in related lab experiments, this project develops a human-robot system featuring waypoint control. The system consists of an RGB-D camera, a robotic arm, and a Graphical User Interface (GUI).

Generating Interesting Streak-Based Claims From Sports Data

Master's Defense
Speaker Name
Xiaoyu (Liana) Yanglian
Location
Talk will be virtual on Zoom
Date and Time
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We investigate how to generate the most meaningful "factlets" from Duke University Basketball game statistics.

ADRR: An Application Layer Resources Fair Queuing Algorithm for Defending DDoS Attack

Master's Defense
Speaker Name
Shujun Qi
Location
Talk will be virtual on Zoom
Date and Time
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Distributed denial of service (DDoS) attack has grown to a major network security thread due to the recent prosperity of DDoS-for-hire services and IoT botnets. Despite of the various efficient and deployable commercial and academic network layer DDoS protection architecture, the thread remains active since the focus of DDoS attack has switched from network bandwidth to application layer resources, which can hardly be defended under current defense solutions. In this paper, we present Adjusted deficit round robin (ADRR) algorithm as a solution to application layer DDoS attack.

Master's Defense

Master's Defense
Speaker Name
Arnab Kar
Location
Talk will be virtual on Zoom
Date and Time
-