research
∙
06/22/2023
Approximate Causal Effect Identification under Weak Confounding
Causal effect estimation has been studied by many researchers when only ...
share
research
∙
05/05/2023
Adaptive Graph Convolutional Subspace Clustering
Spectral-type subspace clustering algorithms have shown excellent perfor...
research
∙
04/20/2023
SCoDA: Domain Adaptive Shape Completion for Real Scans
3D shape completion from point clouds is a challenging task, especially ...
research
∙
08/16/2022
Secrecy Performance Analysis of RIS-aided Communication System with Randomly Flying Eavesdroppers
In this letter, we analyze the secrecy performance of a reconfigurable i...
research
∙
07/29/2022
Learning idempotent representation for subspace clustering
The critical point for the successes of spectral-type subspace clusterin...
research
∙
06/28/2021
Online Estimation and Coverage Control with Heterogeneous Sensing Information
Heterogeneous multi-robot sensing systems are able to characterize physi...
research
∙
05/12/2021
Discrete-time Contraction-based Control of Nonlinear Systems with Parametric Uncertainties using Neural Networks
Flexible manufacturing in the process industry requires control systems ...
research
∙
03/31/2021
Dynamic NOMA-Based Computation Offloading in Vehicular Platoons
Both the mobile edge computing (MEC) based and fog computing (FC) aided ...
research
∙
01/22/2021
Nonstationary Stochastic Multiarmed Bandits: UCB Policies and Minimax Regret
We study the nonstationary stochastic Multi-Armed Bandit (MAB) problem i...
research
∙
01/12/2021
Regret Analysis of Distributed Gaussian Process Estimation and Coverage
We study the problem of distributed multi-robot coverage over an unknown...
research
∙
11/06/2020
Secure Performance Analysis and Optimization for FD-NOMA Vehicular Communications
Vehicle-to-vehicle (V2V) communication appeals to increasing research in...
research
∙
07/20/2020
Minimax Policy for Heavy-tailed Multi-armed Bandits
We study the stochastic Multi-Armed Bandit (MAB) problem under worst cas...
research
∙
07/16/2020
When deep learning meets causal inference: a computational framework for drug repurposing from real-world data
Drug repurposing is an effective strategy to identify new uses for exist...
research
∙
05/18/2020
Expedited Multi-Target Search with Guaranteed Performance via Multi-fidelity Gaussian Processes
We consider a scenario in which an autonomous vehicle equipped with a do...
research
∙
12/12/2018
On Distributed Multi-player Multiarmed Bandit Problems in Abruptly Changing Environment
We study the multi-player stochastic multiarmed bandit (MAB) problem in ...
research
∙
02/23/2018
On Abruptly-Changing and Slowly-Varying Multiarmed Bandit Problems
We study the non-stationary stochastic multiarmed bandit (MAB) problem a...
research
∙
09/25/2017