Publications (12)
Training Quantized Nets: A Deeper Understanding
Hao Li, Soham De, Zheng Xu +3
Currently, deep neural networks are deployed on low-power portable devices by first training a full-precision model using powerful hardware, and then deriving a corresponding low-p…
Graph-Enhanced Large Language Models for Spatial Search
Nicole R. Schneider, Kent O'Sullivan, Hanan Samet
There have been many recent improvements in the ability of Large Language Models (LLMs) to perform complex tasks and answer domain-specific questions through techniques like Retrie…
Pruning Filters for Efficient ConvNets
Hao Li, Asim Kadav, Igor Durdanovic +2
The success of CNNs in various applications is accompanied by a significant increase in the computation and parameter storage costs. Recent efforts toward reducing these overheads…
3D Spatial Pattern Matching
Nicole R. Schneider, Avik Das, Lukas Arzoumanidis +3
Spatial pattern matching is the process of matching query entities and constraints with database entities and relations. It has many applications, including similar region search,…
Sub-trajectory Similarity Join with Obfuscation
Yanchuan Chang, Jianzhong Qi, Egemen Tanin +2
User trajectory data is becoming increasingly accessible due to the prevalence of GPS-equipped devices such as smartphones. Many existing studies focus on querying trajectories tha…
Equal Area Breaks: A Classification Scheme for Data to Obtain an Evenly-colored Choropleth Map
Anis Abboud, John Kastner, Hanan Samet
An efficient algorithm for computing the choropleth map classification scheme known as equal area breaks or geographical quantiles is introduced. An equal area breaks classificatio…