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08/25/2023
Resolution-independent generative models based on operator learning for physics-constrained Bayesian inverse problems
The Bayesian inference approach is widely used to tackle inverse problem...
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08/19/2023
A novel reduced basis method for adjoint sensitivity analysis of dynamic topology optimization
In gradient-based time domain topology optimization, design sensitivity ...
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07/26/2023
Multi-modal Learning with Missing Modality via Shared-Specific Feature Modelling
The missing modality issue is critical but non-trivial to be solved by m...
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05/14/2023
An efficient online successive reanalysis method for dynamic topology optimization
In this study, an efficient reanalysis strategy for dynamic topology opt...
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10/25/2022
ARENA: Towards Informative Alternative Query Plan Selection for Database Education
A key learning goal of learners taking database systems course is to und...
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10/03/2022
An efficient topology optimization based on multigrid assisted reanalysis for heat transfer problem
To improve the computational efficiency of heat transfer topology optimi...
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09/21/2022
Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation
When analysing screening mammograms, radiologists can naturally process ...
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09/21/2022
An E-PINN assisted practical uncertainty quantification for inverse problems
How to solve inverse problems is the challenge of many engineering and i...
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09/13/2022
Document-aware Positional Encoding and Linguistic-guided Encoding for Abstractive Multi-document Summarization
One key challenge in multi-document summarization is to capture the rela...
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07/22/2022
Uncertainty-aware Multi-modal Learning via Cross-modal Random Network Prediction
Multi-modal learning focuses on training models by equally combining mul...
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05/01/2022
Adaptive auxiliary reduced model reanalysis-based efficient topology optimization method
Efficient topology optimization based on the adaptive auxiliary reduced ...
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09/23/2021
Incorporating Linguistic Knowledge for Abstractive Multi-document Summarization
Within natural language processing tasks, linguistic knowledge can alway...
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09/02/2021
A Physics-Data-Driven Bayesian Method for Heat Conduction Problems
In this study, a novel physics-data-driven Bayesian method named Heat Co...
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07/20/2021
Data Hiding with Deep Learning: A Survey Unifying Digital Watermarking and Steganography
Data hiding is the process of embedding information into a noise-toleran...
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07/20/2021
A multi-grid sampling multi-scale method for crack initiation and propagation
In this study, a multi-grid sampling multi-scale (MGSMS) method is propo...
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05/20/2021
Fed-EINI: An Efficient and Interpretable Inference Framework for Decision Tree Ensembles in Federated Learning
The increasing concerns about data privacy and security drives the emerg...
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04/19/2021
Kernel Agnostic Real-world Image Super-resolution
Recently, deep neural network models have achieved impressive results in...
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03/29/2021
Fatigue crack propagation in carbon steel using RVE based model
A representative volume element (RVE) based multi-scale method is propos...
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02/23/2021
Oriole: Thwarting Privacy against Trustworthy Deep Learning Models
Deep Neural Networks have achieved unprecedented success in the field of...
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02/21/2021
Delayed Rewards Calibration via Reward Empirical Sufficiency
Appropriate credit assignment for delay rewards is a fundamental challen...
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01/24/2021
Multi-intersection Traffic Optimisation: A Benchmark Dataset and a Strong Baseline
The control of traffic signals is fundamental and critical to alleviate ...
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12/24/2020
Memory-Gated Recurrent Networks
The essence of multivariate sequential learning is all about how to extr...
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11/29/2020
Fully Quantized Image Super-Resolution Networks
With the rising popularity of intelligent mobile devices, it is of great...
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11/21/2020
Robust Watermarking Using Inverse Gradient Attention
Watermarking is the procedure of encoding desired information into an im...
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11/10/2020
Multi-document Summarization via Deep Learning Techniques: A Survey
Multi-document summarization (MDS) is an effective tool for information ...
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08/12/2020
Molecular dynamics simulation of crack growth in mono-crystal nickel with voids and inclusions
In this study, the crack propagation of the pre-cracked mono-crystal nic...
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07/21/2020
Multi-label Thoracic Disease Image Classification with Cross-Attention Networks
Automated disease classification of radiology images has been emerging a...
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07/21/2020
Soft Expert Reward Learning for Vision-and-Language Navigation
Vision-and-Language Navigation (VLN) requires an agent to find a specifi...
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07/21/2020
Randomized Online CP Decomposition
CANDECOMP/PARAFAC (CP) decomposition has been widely used to deal with m...
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12/22/2019
Unsupervised Representation Learning by Predicting Random Distances
Deep neural networks have gained tremendous success in a broad range of ...
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11/29/2019
Topology optimization of heat sinks for instantaneous chip cooling using a transient pseudo-3D thermofluid model
With the increasing power density of electronics components, the heat di...
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10/16/2019
Machine Learning based parameter tuning strategy for MMC based topology optimization
Moving Morphable Component (MMC) based topology optimization approach is...
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04/08/2019
Image-based reconstruction for the impact problems by using DPNNs
With the improvement of the pattern recognition and feature extraction o...
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11/09/2018
Global sensitivity analysis based on DIRECT-KG-HDMR and thermal optimization of pin-fin heat sink for the platform inertial navigation system
In this study, in order to reduce the local high temperature of the plat...
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11/09/2018
Design of pin-fin heat sink for the platform inertial navigation system by surrogate assisted techniques
In this study, in order to reduce the local high temperature of the plat...
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11/06/2018
Image-Based Reconstruction for a 3D-PFHS Heat Transfer Problem by ReConNN
The heat transfer performance of Plate Fin Heat Sink (PFHS) has been inv...
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10/16/2018
Closed loop image aided optimization for cold spray process based on molecular dynamics
This study proposed a closed loop image aided optimization (CLIAO) metho...
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10/16/2018
IRA assisted MMC-based topology optimization method
An Iterative Reanalysis Approximation (IRA) is integrated with the Movin...
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05/11/2018
An Adaptive Population Size Differential Evolution with Novel Mutation Strategy for Constrained Optimization
Differential evolution (DE) has competitive performance on constrained o...
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04/19/2018
Reconstruction of Simulation-Based Physical Field with Limited Samples by ReConNN
A variety of modeling techniques have been developed in the past decade ...
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04/17/2018
A D-vine copula-based coupling uncertainty analysis for stiffness predication of variable-stiffness composite
This study suggests a coupling uncertainty analysis method to investigat...
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01/30/2018
ReNN: Rule-embedded Neural Networks
The artificial neural network shows powerful ability of inference, but i...
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11/15/2017
Can CNNs Construct Highly Accurate Model Efficiently with Limited Training Samples?
It is well known that metamodel or surrogate modeling techniques have be...
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10/30/2017
How we can control the crack to propagate along the specified path feasibly?
A controllable crack propagation (CCP) strategy is suggested. It is well...
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08/04/2017
A novel X-FEM based fast computational method for crack propagation
This study suggests a fast computational method for crack propagation, w...
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03/13/2017
A Meshless-based Local Reanalysis Method for Structural Analysis
This study presents a meshless-based local reanalysis (MLR) method. The ...
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03/11/2017