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10/26/2021
Adversarial Online Learning with Variable Plays in the Pursuit-Evasion Game: Theoretical Foundations and Application in Connected and Automated Vehicle Cybersecurity
We extend the adversarial/non-stochastic multi-play multi-armed bandit (...
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04/18/2020
Anomaly Detection in Connected and Automated Vehicles using an Augmented State Formulation
In this paper we propose a novel observer-based method for anomaly detec...
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11/04/2019
Real-Time Sensor Anomaly Detection and Recovery in Connected Automated Vehicle Sensors
In this paper we propose a novel observer-based method to improve the sa...
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11/05/2018
Task Embedded Coordinate Update: A Realizable Framework for Multivariate Non-convex Optimization
We in this paper propose a realizable framework TECU, which embeds task-...
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10/09/2018
Learning Converged Propagations with Deep Prior Ensemble for Image Enhancement
Enhancing visual qualities of images plays very important roles in vario...
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02/28/2017
An Optimization Framework with Flexible Inexact Inner Iterations for Nonconvex and Nonsmooth Programming
In recent years, numerous vision and learning tasks have been (re)formul...
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05/28/2016