b'Quan Zhou'

research

∙ 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...

0 Min Hua, et al. ∙

research

∙ 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...

0 Longfei Mo, et al. ∙

research

∙ 04/20/2023

Parareal algorithm via Chebyshev-Gauss spectral collocation method

We present the Parareal-CG algorithm for time-dependent differential equ...

0 Quan Zhou, et al. ∙

research

∙ 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) ...

0 Min Hua, et al. ∙

research

∙ 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 ...

0 Bin Shuai, et al. ∙

research

∙ 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...

0 Zicheng Zhang, et al. ∙

research

∙ 03/05/2023

CoRTX: Contrastive Framework for Real-time Explanation

Recent advancements in explainable machine learning provide effective an...

0 Yu-Neng Chuang, et al. ∙

research

∙ 01/25/2023

Rate-Perception Optimized Preprocessing for Video Coding

In the past decades, lots of progress have been done in the video compre...

0 Chengqian Ma, et al. ∙

research

∙ 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)...

0 Jincheng Hu, et al. ∙

research

∙ 10/04/2022

A quickest detection problem with false negatives

We formulate and solve a quickest detection problem with false negatives...

0 Tiziano De Angelis, et al. ∙

research

∙ 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...

0 Quan Zhou, et al. ∙

research

∙ 09/12/2022

Fairness in Forecasting of Observations of Linear Dynamical Systems

In machine learning, training data often capture the behaviour of multip...

0 Quan Zhou, et al. ∙

research

∙ 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...

0 Min Hua, et al. ∙

research

∙ 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...

0 Quan Zhou, et al. ∙

research

∙ 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...

0 Zicheng Zhang, et al. ∙

research

∙ 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...

0 Hyunwoong Chang, et al. ∙

research

∙ 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...

0 Guanxun Li, et al. ∙

research

∙ 06/17/2022

Accelerating Shapley Explanation via Contributive Cooperator Selection

Even though Shapley value provides an effective explanation for a DNN mo...

0 Guanchu Wang, et al. ∙

research

∙ 06/13/2022

On the Design of Decentralised Data Markets

We present an architecture to implement a decentralised data market, whe...

0 Aida Manzano Kharman, et al. ∙

research

∙ 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...

0 Wei Lu, et al. ∙

research

∙ 02/10/2022

Order-based Structure Learning without Score Equivalence

We consider the structure learning problem with all node variables havin...

0 Hyunwoong Chang, et al. ∙

research

∙ 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 ...

0 Linjie Wang, et al. ∙

research

∙ 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...

0 Huimin Shi, et al. ∙

research

∙ 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...

0 Kai-Hsun Chen, et al. ∙

research

∙ 08/04/2021

FPB: Feature Pyramid Branch for Person Re-Identification

High performance person Re-Identification (Re-ID) requires the model to ...

8 Suofei Zhang, et al. ∙

research

∙ 07/22/2021

On the Scalability of Informed Importance Tempering

Informed MCMC methods have been proposed as scalable solutions to Bayesi...

0 Quan Zhou, et al. ∙

research

∙ 06/04/2021

Subgroup Fairness in Two-Sided Markets

It is well known that two-sided markets are unfair in a number of ways. ...

0 Quan Zhou, et al. ∙

research

∙ 05/12/2021

Dimension-free Mixing for High-dimensional Bayesian Variable Selection

Yang et al. (2016) proved that the symmetric random walk Metropolis–Hast...

0 Quan Zhou, et al. ∙

research

∙ 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...

0 Jeremiah Duncan, et al. ∙

research

∙ 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...

0 Quan Zhou, et al. ∙

research

∙ 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 ...

0 Zoran Cenev, et al. ∙

research

∙ 11/03/2020

Where am I? SLAM for Mobile Machines on A Smart Working Site

The current optimization approaches of construction machinery are mainly...

0 Yusheng Xiang, et al. ∙

research

∙ 06/12/2020

Fairness in Forecasting and Learning Linear Dynamical Systems

As machine learning becomes more pervasive, the urgency of assuring its ...

0 Quan Zhou, et al. ∙

research

∙ 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...

3 Lie Ju, et al. ∙

research

∙ 03/21/2020

BiCANet: Bi-directional Contextual Aggregating Network for Image Semantic Segmentation

Exploring contextual information in convolution neural networks (CNNs) h...

10 Quan Zhou, et al. ∙

research

∙ 02/05/2020

Entropy Minimization vs. Diversity Maximization for Domain Adaptation

Entropy minimization has been widely used in unsupervised domain adaptat...

13 Xiaofu Wu, et al. ∙

research

∙ 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 ...

0 Quan Zhou, et al. ∙

research

∙ 11/02/2019

FDDWNet: A Lightweight Convolutional Neural Network for Real-time Sementic Segmentation

This paper introduces a lightweight convolutional neural network, called...

0 Jia Liu, et al. ∙

research

∙ 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 ...

0 Shige Peng, et al. ∙

research

∙ 09/05/2019

The distribution of Yule's 'nonsense correlation'

In 2017, the authors of ernst2017yule explicitly computed the second mom...

0 Philip A. Ernst, et al. ∙

research

∙ 06/24/2019

ESNet: An Efficient Symmetric Network for Real-time Semantic Segmentation

The recent years have witnessed great advances for semantic segmentation...

4 Yu Wang, et al. ∙

research

∙ 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...

0 Yu Wang, et al. ∙

research

∙ 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. ...

0 Mingming Zhang, et al. ∙

research

∙ 05/28/2018

Fast Dynamic Routing Based on Weighted Kernel Density Estimation

Capsules as well as dynamic routing between them are most recently propo...

0 Suofei Zhang, et al. ∙

research

∙ 10/24/2017

Asymptotics of high-dimensional contingency tables with fixed marginals

We consider the asymptotic distribution of a cell in a 2 x ... x 2 conti...

0 Quan Zhou, et al. ∙

Quan Zhou

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