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08/28/2023
Recent Progress in Energy Management of Connected Hybrid Electric Vehicles Using Reinforcement Learning
The growing adoption of hybrid electric vehicles (HEVs) presents a trans...
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07/15/2023
Study on the Impacts of Hazardous Behaviors on Autonomous Vehicle Collision Rates Based on Humanoid Scenario Generation in CARLA
Testing of function safety and Safety Of The Intended Functionality (SOT...
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04/20/2023
Parareal algorithm via Chebyshev-Gauss spectral collocation method
We present the Parareal-CG algorithm for time-dependent differential equ...
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03/16/2023
Energy Management of Multi-mode Plug-in Hybrid Electric Vehicle using Multi-agent Deep Reinforcement Learning
The recently emerging multi-mode plug-in hybrid electric vehicle (PHEV) ...
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03/15/2023
Optimal Energy Management of Plug-in Hybrid Vehicles Through Exploration-to-Exploitation Ratio Control in Ensemble Reinforcement Learning
Developing intelligent energy management systems with high adaptability ...
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03/14/2023
Subjective and Objective Quality Assessment for in-the-Wild Computer Graphics Images
Computer graphics images (CGIs) are artificially generated by means of c...
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03/05/2023
CoRTX: Contrastive Framework for Real-time Explanation
Recent advancements in explainable machine learning provide effective an...
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01/25/2023
Rate-Perception Optimized Preprocessing for Video Coding
In the past decades, lots of progress have been done in the video compre...
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12/18/2022
Empirical Analysis of AI-based Energy Management in Electric Vehicles: A Case Study on Reinforcement Learning
Reinforcement learning-based (RL-based) energy management strategy (EMS)...
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10/04/2022
A quickest detection problem with false negatives
We formulate and solve a quickest detection problem with false negatives...
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09/28/2022
DPNet: Dual-Path Network for Real-time Object Detection with Lightweight Attention
The recent advances of compressing high-accuracy convolution neural netw...
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09/12/2022
Fairness in Forecasting of Observations of Linear Dynamical Systems
In machine learning, training data often capture the behaviour of multip...
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09/06/2022
Energy Management of Multi-mode Hybrid Electric Vehicles based on Hand-shaking Multi-agent Learning
The future transportation system will be a multi-agent network where con...
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09/03/2022
Closed-Loop View of the Regulation of AI: Equal Impact across Repeated Interactions
There has been much recent interest in the regulation of AI. We argue fo...
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09/01/2022
MM-PCQA: Multi-Modal Learning for No-reference Point Cloud Quality Assessment
The visual quality of point clouds has been greatly emphasized since the...
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07/01/2022
Rapidly Mixing Multiple-try Metropolis Algorithms for Model Selection Problems
The multiple-try Metropolis (MTM) algorithm is an extension of the Metro...
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06/28/2022
Bayesian Multi-task Variable Selection with an Application to Differential DAG Analysis
In this paper, we study the Bayesian multi-task variable selection probl...
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06/17/2022
Accelerating Shapley Explanation via Contributive Cooperator Selection
Even though Shapley value provides an effective explanation for a DNN mo...
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06/13/2022
On the Design of Decentralised Data Markets
We present an architecture to implement a decentralised data market, whe...
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06/09/2022
Deep Neural Network for Blind Visual Quality Assessment of 4K Content
The 4K content can deliver a more immersive visual experience to consume...
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02/10/2022
Order-based Structure Learning without Score Equivalence
We consider the structure learning problem with all node variables havin...
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10/31/2021
DRBANET: A Lightweight Dual-Resolution Network for Semantic Segmentation with Boundary Auxiliary
Due to the powerful ability to encode image details and semantics, many ...
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10/31/2021
DPNET: Dual-Path Network for Efficient Object Detectioj with Lightweight Self-Attention
Object detection often costs a considerable amount of computation to get...
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08/22/2021
Apache Submarine: A Unified Machine Learning Platform Made Simple
As machine learning is applied more widely, it is necessary to have a ma...
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08/04/2021
FPB: Feature Pyramid Branch for Person Re-Identification
High performance person Re-Identification (Re-ID) requires the model to ...
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07/22/2021
On the Scalability of Informed Importance Tempering
Informed MCMC methods have been proposed as scalable solutions to Bayesi...
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06/04/2021
Subgroup Fairness in Two-Sided Markets
It is well known that two-sided markets are unfair in a number of ways. ...
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05/12/2021
Dimension-free Mixing for High-dimensional Bayesian Variable Selection
Yang et al. (2016) proved that the symmetric random walk Metropolis–Hast...
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02/23/2021
The Sensitivity of Word Embeddings-based Author Detection Models to Semantic-preserving Adversarial Perturbations
Authorship analysis is an important subject in the field of natural lang...
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01/11/2021
Complexity analysis of Bayesian learning of high-dimensional DAG models and their equivalence classes
We consider MCMC methods for learning equivalence classes of sparse Gaus...
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12/30/2020
Ferrofluidic Manipulator: Automatic Manipulation of Non-magnetic Microparticles at Air-Ferrofluid Interface
Manipulation of small-scale matter is a fundamental topic in micro- and ...
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11/03/2020
Where am I? SLAM for Mobile Machines on A Smart Working Site
The current optimization approaches of construction machinery are mainly...
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06/12/2020
Fairness in Forecasting and Learning Linear Dynamical Systems
As machine learning becomes more pervasive, the urgency of assuring its ...
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03/23/2020
Bridge the Domain Gap Between Ultra-wide-field and Traditional Fundus Images via Adversarial Domain Adaptation
For decades, advances in retinal imaging technology have enabled effecti...
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03/21/2020
BiCANet: Bi-directional Contextual Aggregating Network for Image Semantic Segmentation
Exploring contextual information in convolution neural networks (CNNs) h...
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02/05/2020
Entropy Minimization vs. Diversity Maximization for Domain Adaptation
Entropy minimization has been widely used in unsupervised domain adaptat...
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02/04/2020
Proper Learning of Linear Dynamical Systems as a Non-Commutative Polynomial Optimisation Problem
There has been much recent progress in forecasting the next observation ...
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11/02/2019
FDDWNet: A Lightweight Convolutional Neural Network for Real-time Sementic Segmentation
This paper introduces a lightweight convolutional neural network, called...
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09/08/2019
A hypothesis-testing perspective on the G-normal distribution theory
The G-normal distribution was introduced by Peng [2007] as the limiting ...
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09/05/2019
The distribution of Yule's 'nonsense correlation'
In 2017, the authors of ernst2017yule explicitly computed the second mom...
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06/24/2019
ESNet: An Efficient Symmetric Network for Real-time Semantic Segmentation
The recent years have witnessed great advances for semantic segmentation...
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05/07/2019
LEDNet: A Lightweight Encoder-Decoder Network for Real-Time Semantic Segmentation
The extensive computational burden limits the usage of CNNs in mobile de...
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01/31/2019
A lossless data hiding scheme in JPEG images with segment coding
In this paper, we propose a lossless data hiding scheme in JPEG images. ...
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05/28/2018
Fast Dynamic Routing Based on Weighted Kernel Density Estimation
Capsules as well as dynamic routing between them are most recently propo...
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10/24/2017