research
∙
04/05/2023
Dynamic Adversarial Resource Allocation: the dDAB Game
This work proposes a dynamic and adversarial resource allocation problem...
share
research
∙
05/15/2022
Transkimmer: Transformer Learns to Layer-wise Skim
Transformer architecture has become the de-facto model for many machine ...
research
∙
05/02/2022
Hierarchical Decompositions of Stochastic Pursuit-Evasion Games
In this work we present a hierarchical framework for solving discrete st...
research
∙
12/18/2021
Dynamic Defender-Attacker Blotto Game
This work studies a dynamic, adversarial resource allocation problem in ...
research
∙
12/16/2021
Block-Skim: Efficient Question Answering for Transformer
Transformer models have achieved promising results on natural language p...
research
∙
11/12/2021
Meshfree implementation of the cardiac monodomain model through the Fragile Points Method
Meshfree methods for in silico modelling and simulation of cardiac elect...
research
∙
10/14/2021
Shaping Large Population Agent Behaviors Through Entropy-Regularized Mean-Field Games
Mean-field games (MFG) were introduced to efficiently analyze approximat...
research
∙
09/22/2021
Joint Optical Neuroimaging Denoising with Semantic Tasks
Optical neuroimaging is a vital tool for understanding the brain structu...
research
∙
09/15/2021
PointManifoldCut: Point-wise Augmentation in the Manifold for Point Clouds
Augmentation can benefit point cloud learning due to the limited availab...
research
∙
01/22/2021
Meshless Fragile Points Methods Based on Petrov-Galerkin Weak-Forms for Transient Heat Conduction Problems in Complex Anisotropic Nonhomogeneous Media
Three kinds of Fragile Points Methods based on Petrov-Galerkin weak-form...
research
∙
11/02/2020
How Far Does BERT Look At:Distance-based Clustering and Analysis of BERT's Attention
Recent research on the multi-head attention mechanism, especially that i...
research
∙
09/01/2020
Learning Nash Equilibria in Zero-Sum Stochastic Games via Entropy-Regularized Policy Approximation
We explore the use of policy approximation for reducing the computationa...
research
∙
08/29/2020
Accelerating Sparse DNN Models without Hardware-Support via Tile-Wise Sparsity
Network pruning can reduce the high computation cost of deep neural netw...
research
∙
05/14/2020
A New Meshless "Fragile Points Method (FPM)" Based on A Galerkin Weak-Form for 2D Flexoelectric Analysis
A meshless Fragile Points Method (FPM) is presented for analyzing 2D fle...
research
∙
01/23/2020
A New Meshless "Fragile Points Method" and A Local Variational Iteration Method for General Transient Heat Conduction in Anisotropic Nonhomogeneous Media
A new and effective computational approach is presented for analyzing tr...
research
∙
09/02/2019
Geometry Normalization Networks for Accurate Scene Text Detection
Large geometry (e.g., orientation) variances are the key challenges in t...
research
∙
05/22/2019
The Steiner triple systems of order 21 with a transversal subdesign TD(3,6)
We prove several structural properties of Steiner triple systems (STS) o...
research
∙
04/03/2019
