PhD in Computational Logic
Imperial College London, 1994
Article
Causal inference in the medical domain: a survey
Article
DEA: Data-efficient augmentation for interpretable medical image segmentation
Article
Efficient deep data assimilation with sparse observations and time-varying sensors
Article
FedEL: Federated ensemble learning for non-iid data
Article
GNN-MgrPool: Enhanced graph neural networks with multi-granularity pooling for graph classification
Article
Labelling with dynamics: A data-efficient learning paradigm for medical image segmentation
Article
ReChoreoNet: Repertoire-based Dance Re-choreography with Music-conditioned Temporal and Style Clues
Article
Article
Video-Instrument Synergistic Network for Referring Video Instrument Segmentation in Robotic Surgery
Article
zkFL: Zero-Knowledge Proof-based Gradient Aggregation for Federated Learning
Article
AttnZero: Efficient Attention Discovery for Vision Transformers
Conference paper
Auto-GAS: Automated Proxy Discovery for Training-Free Generative Architecture Search
Conference paper
Can LLMs" Reason" in Music? An Evaluation of LLMs' Capability of Music Understanding and Generation
Conference paper
ChatMusician: Understanding and Generating Music Intrinsically with LLM
Conference paper
ComposerX: Multi-Agent Symbolic Music Composition with LLMs
Conference paper
DetKDS: Knowledge Distillation Search for Object Detectors
Conference paper
EDM: Synthetic Data from Exemplar Diffusion Model Improves Non-Communicable Diseases Detection
Conference paper
FastSAG: Towards Fast Non-Autoregressive Singing Accompaniment Generation
Conference paper
FlashSpeech: Efficient Zero-Shot Speech Synthesis
Conference paper
Conference paper
Hierarchical Linear Symbolized Tree-Structured Neural Processes
Conference paper
Mert: Acoustic Music Understanding Model With Large-scale Self-supervised Training
Conference paper
RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation
Conference paper
Weakly-Supervised Emotion Transition Learning for Diverse 3D Co-speech Gesture Generation
Conference paper
A Generative Model for Surrogates of Spatial-Temporal Wildfire Nowcasting
Article
Article
STR Transformer: A Cross-domain Transformer for Scene Text Recognition
Article
CoMoSpeech: One-Step Speech and Singing Voice Synthesis via Consistency Model
Conference paper
LyricWhiz: Robust Multilingual Zero-shot Lyrics Transcription by Whispering to ChatGPT
Conference paper
Marble: Music audio representation benchmark for universal evaluation
Conference paper
Conference paper
Unsupervised Zero-Shot Learning for Achieve Cross-Modal Alignment with Counterfactuals
Conference paper
Article
Article
Association of Differential Mast Cell Activation with Granulocytic Inflammation in Severe Asthma
Article
Article
Article
Data-driven surrogate model with latent data assimilation: Application to wildfire forecasting
Article
Determinants of expression of SARS-CoV-2 entry-related genes in upper and lower airways
Article
Digital twins based on bidirectional LSTM and GAN for modelling the COVID-19 pandemic
Article
Article
Erratum: Crucial role for lung iron level and regulation in the pathogenesis and severity of asthma
Article
Face aging with pixel-level alignment GAN
Article
FTAP: Feature transferring autonomous machine learning pipeline
Article
Article
Missile aerodynamic shape optimization design using deep neural networks
Article
MKD: Mixup-Based Knowledge Distillation for Mandarin End-to-End Speech Recognition
Article
Multiple Detection Model Fusion Framework for Printed Circuit Board Defect Detection
Article
Article
Article
Phenotyping in clinical text with unsupervised numerical reasoning for patient stratification
Article
Article
Article
Relationship between type 2 cytokine and inflammasome responses in obesity-associated asthma
Article
Scale-Consistent Fusion: From Heterogeneous Local Sampling to Global Immersive Rendering
Article
Speech synthesis with face embeddings
Article
Suggestive annotation of brain MR images with gradient-guided sampling
Article
Article
Toward High-Performance Map-Recovery of Air Pollution Using Machine Learning
Article
UBAR: User Behavior-Aware Recommendation with knowledge graph
Article
Weather-degraded image semantic segmentation with multi-task knowledge distillation
Article
Article
Conference paper
Merging Real Images with Physics Simulations via Data Assimilation
Conference paper
OmiTrans: Generative Adversarial Networks Based Omics-to-omics Translation Framework
Conference paper
A blockchain-based trust system for decentralised applications: When trustless needs trust
Article
A Metabolite Array Technology for Precision Medicine
Article
Article
Article
Deep data assimilation: Integrating deep learning with data assimilation
Article
Fast data assimilation (FDA): Data assimilation by machine learning for faster optimize model state
Article
Article
Hyocholic acid species as novel biomarkers for metabolic disorders
Article
Instability of sputum molecular phenotypes in U-BIOPRED severe asthma
Article
Article
Modeling of suppression and mitigation interventions in the COVID-19 epidemics
Article
Article
Network-based visualisation reveals new insights into transposable element diversity
Article
Nonlinear modulation of COVID-19 transmission by climate conditions
Article
Omiembed: A unified multi-task deep learning framework for multi-omics data
Article
Privacy preservation in federated learning: An insightful survey from the GDPR perspective
Article
Sputum ACE2, TMPRSS2 and FURIN gene expression in severe neutrophilic asthma
Article
Sputum macrophage diversity and activation in asthma: Role of severity and inflammatory phenotype
Article
Trustworthiness assessment for industrial IoT as multilayer networks with von Neumann entropy
Article
Type 2-low asthma phenotypes by integration of sputum transcriptomics and serum proteomics
Article
Variational Gaussian Process for Optimal Sensor Placement
Article
Why AI still doesn’t have consciousness?
Article
Article
Article
BU-Trace: A Permissionless Mobile System for Privacy-Preserving Intelligent Contact Tracing
Conference paper
Data Assimilation in the Latent Space of a Convolutional Autoencoder
Conference paper
HNECV: Heterogeneous Network Embedding via Cloud Model and Variational Inference
Conference paper
Conference paper
Interpretability Latent Space Method: Exploiting Shapley Representation to Explain Latent Space
Conference paper
Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation
Conference paper
Conference paper
Label-dependent and event-guided interpretable disease risk prediction using EHRs
Conference paper
Methods and Applications of Causal Reasoning in Medical Field
Conference paper
A Bayesian Updating Scheme for Pandemics: Estimating the Infection Dynamics of COVID-19
Article
A case study on understanding energy consumption through prediction and visualization (VIMOEN)
Article
A data driven methodology for social science research with left-behind children as a case study
Article
A population-based phenome-wide association study of cardiac and aortic structure and function
Article
A Reduced Order Deep Data Assimilation model
Article
An epidemiological modelling approach for COVID-19 via data assimilation
Article
Article
Attention-based Convolutional Autoencoders for 3D-Variational Data Assimilation
Article
Collaborative Defense with Multiple USVs and UAVs Based on Swarm Intelligence
Article
Article
Crucial role for lung iron level and regulation in the pathogenesis and severity of asthma
Article
Data-driven reduced order model with temporal convolutional neural network
Article
GDPR-Compliant Personal Data Management: A Blockchain-Based Solution
Article
Improving taxonomic relation learning via incorporating relation descriptions into word embeddings
Article
Multiple premises entailment recognition based on attention and gate mechanism
Article
Network structure-based interventions on spatial spread of epidemics in metapopulation networks
Article
Neurocognition-inspired design with machine learning
Article
Open Visualization Environment (OVE): A web framework for scalable rendering of data visualizations
Article
The assessment of small bowel motility with attentive deformable neural network
Article
Article
The fair value of a token: How do markets price cryptocurrencies?
Article
Towards a large-scale twitter observatory for political events
Article
TUORIS: A middleware for visualizing dynamic graphics in scalable resolution display environments
Article
Vitamin d metabolism is dysregulated in asthma and chronic obstructive pulmonary disease
Article
Weak Constraint Gaussian Processes for optimal sensor placement
Article
Article
Article
Article
A domain decomposition reduced order model with data assimilation (DD-RODA)
Conference paper
A scalable approach to econometric inference
Conference paper
Adaptive Domain Decomposition for Effective Data Assimilation
Conference paper
An Econophysical Analysis of the Blockchain Ecosystem
Conference paper
Automatic brain tumour segmentation and biophysics-guided survival prediction
Conference paper
Chinese Entity Synonym Extraction from the Web
Conference paper
Deep Generative Model-Based Quality Control for Cardiac MRI Segmentation
Conference paper
Conference paper
Conference paper
Suggestive Annotation of Brain Tumour Images with Gradient-Guided Sampling
Conference paper
Conference paper
“T2-high” in severe asthma related to blood eosinophil, exhaled nitric oxide and serum periostin
Article
A machine learning attack against variable-length Chinese character CAPTCHAs
Article
A reduced order model for turbulent flows in the urban environment using machine learning
Article
An artificial intelligence based data-driven approach for design ideation
Article
An Information-Theoretical Framework for Cluster Ensemble
Article
An unsupervised approach for learning a Chinese IS-A taxonomy from an unstructured corpus
Article
Article
Cf-prov: A content-rich and fine-grained scientific workflow provenance model
Article
Article
Contribution of airway eosinophils in airway wall remodeling in asthma: Role of MMP-10 and MET
Article
Article
Enhancing CFD-LES air pollution prediction accuracy using data assimilation
Article
Entity emotion mining in social media environment
Article
Epithelial dysregulation in obese severe asthmatics with gastro-oesophageal reflux
Article
Epithelial IL-6 trans-signaling defines a new asthma phenotype with increased airway inflammation
Article
Explanations by arbitrated argumentative dispute
Article
Article
Generalised regression hypothesis induction for energy consumption forecasting
Article
Hierarchical attention based long short-term memory for Chinese lyric generation
Article
Article
IL-17–high asthma with features of a psoriasis immunophenotype
Article
Model error correction in data assimilation by integrating neural networks
Article
Moderate-to-severe asthma in individuals of European ancestry: a genome-wide association study
Article
Multi-distribution characteristics based Chinese entity synonym extraction from the web
Article
Navigating the disease landscape: Knowledge representations for contextualizing molecular signatures
Article
Article
Optimal reduced space for Variational Data Assimilation
Article
PlatformTM, a standards-based data custodianship platform for translational medicine research
Article
Article
Stratification of asthma phenotypes by airway proteomic signatures
Article
Study on the factors affecting solid solubility in binary alloys: An exploration by Machine Learning
Article
Article
TeraVR empowers precise reconstruction of complete 3-D neuronal morphology in the whole brain
Article
Treatable traits in the European U-BIOPRED adult asthma cohorts
Article
Article
Blockchain-based Personal Data Management: From Fiction to Solution
Conference paper
Compositional Microservices for Immersive Social Visual Analytics
Conference paper
Conditional image synthesis using stacked auxiliary classifier generative adversarial networks
Conference paper
Data assimilation for parameter estimation in economic modelling
Conference paper
Generative creativity: Adversarial learning for bionic design
Conference paper
Human-in-the-loop design with machine learning
Conference paper
Hybrid data assimilation: An ensemble-variational approach
Conference paper
Identity authentication on mobile devices using face verification and ID image recognition
Conference paper
Improved accuracy stock price change prediction model using trading volume
Conference paper
Conference paper
Integrating semantic knowledge to tackle zero-shot text classification
Conference paper
Multi-domain and sub-role oriented software architecture for managing scientific big data
Conference paper
Scalable Weak Constraint Gaussian Processes
Conference paper
Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction
Conference paper
SIMGAN: Photo-Realistic Semantic Image Manipulation Using Generative Adversarial Networks
Conference paper
The collaborative strategy of multiple USVs with deep reinforcement learning method
Conference paper
Transfer learning from partial annotations for whole brain segmentation
Conference paper
Conference paper
Conference paper
A computational framework for complex disease stratification from multiple large-scale datasets
Article
A novel community detection algorithm based on simplification of complex networks
Article
A visual attention-based keyword extraction for document classification
Article
An Ensemble Clusterer of Multiple Fuzzy k-Means Clusterings to Recognize Arbitrarily Shaped Clusters
Article
Crowdsourcing with online quantitative design analysis
Article
Article
Deep unfolded IRLS-ADMM network for classification and sparse feature selection
Article
Article
Effective variational data assimilation in air-pollution prediction
Article
Article
Lipid phenotyping of lung epithelial lining fluid in healthy human volunteers
Article
Mixed Neural Network Approach for Temporal Sleep Stage Classification
Article
Model identification of reduced order fluid dynamics systems using deep learning
Article
Pathway discovery using transcriptomic profiles in adult-onset severe asthma
Article
Remote monitoring in the home validates clinical gait measures for multiple sclerosis
Article
Article
Article
TGF-β Signaling Pathways in Different Compartments of the Lower Airways of Patients With Stable COPD
Article
Towards open data blockchain analytics: A bitcoin perspective
Article
Article
Using support vector machine on EEG for advertisement impact assessment
Article
Visualizing large knowledge graphs: A performance analysis
Article
Article
A multi tenant computational platform for translational medicine
Conference paper
Attacking strategy of multiple unmanned surface vehicles based on DAMGWO algorithm
Conference paper
Deep sequence learning with auxiliary information for traffic prediction
Conference paper
Dest-resnet: A deep spatiotemporal residual network for hotspot traffic speed prediction
Conference paper
Enhancing feature correlation for bi-modal group emotion recognition
Conference paper
I2T2I: Learning text to image synthesis with textual data augmentation
Conference paper
Multiple feature fusion for automatic emotion recognition using EEG signals
Conference paper
Real-time Quality Prediction of Casting Billet Based on Random Forest Algorithm
Conference paper
Text-to-image synthesis via visual-memory creative adversarial network
Conference paper
The Deep Poincaré Map: A Novel Approach for Left Ventricle Segmentation
Conference paper
Conference paper
A disease risk model for health data
Article
Article
A visual analytics approach for station-based air quality data
Article
DeepSleepNet: A model for automatic sleep stage scoring based on raw single-channel EEG
Article
Discover semantic topics in patents within a specific domain
Article
Fast density clustering strategies based on the k-means algorithm
Article
Fast graph clustering with a new description model for community detection
Article
Improving data exploration in graphs with fuzzy logic and large-scale visualisation
Article
Inferring functional connectivity in fMRI using minimum partial correlation
Article
Small bowel motility assessment based on fully convolutional networks and long short-term memory
Article
Article
Article
Article
Article
U-BIOPRED clinical adult asthma clusters linked to a subset of sputum omics
Article
Automatic brain tumor detection and segmentation using U-net based fully convolutional networks
Conference paper
ETRIKS analytical environment: A modular high performance framework for medical data analysis
Conference paper
Exploratory analysis of big social data using MIC/MINE statistics
Conference paper
Semantic Image Synthesis via Adversarial Learning
Conference paper
TensorLayer: A versatile library for efficient deep learning development
Conference paper
The combat of unmanned surface vehicles based on wolves attack
Conference paper
The cooperative defense strategy by multi-USVs
Conference paper
The cooperative defense system by team of USVs in complicated sea environment
Conference paper
A Coarse-Grained Reconfigurable Architecture for Compute-Intensive MapReduce Acceleration
Article
Automatic Sleep Stage Scoring Using Time-Frequency Analysis and Stacked Sparse Autoencoders
Article
CGDM: Collaborative genomic data model for molecular profiling data using NoSQL
Article
Enabling virtual sensing as a service
Article
Inferring Individual-Level Variations in the Functional Parcellation of the Cerebral Cortex
Article
Making sense of big data in health research: Towards an EU action plan
Article
Severe asthma exists despite suppressed tissue inflammation: findings of the U-BIOPRED study
Article
Visualizing Dynamic Bitcoin Transaction Patterns
Article
Wiki-Health: From Quantified Self to Self-Understanding
Article
Article
Article
Article
Survey on Feature Extraction and Applications of Biosignals
Book chapter
A new soft material based in-the-ear EEG recording technique
Conference paper
Generating computational taxonomy for business models of the digital economy
Conference paper
Parameter estimation for gene regulatory networks: A two-stage MCMC Bayesian approach
Conference paper
Resampling-based variable selection with lasso for p >> n and partially linear models
Conference paper
Clinical and inflammatory characteristics of the European U-BIOPRED adult severe asthma cohort
Article
Fast traffic sign recognition with a rotation invariant binary pattern based feature
Article
Article
Article
Conference paper
Cooperatively managing dynamic writeback and insertion policies in a last-level DRAM cache
Conference paper
Joint affine transformation and loop pipelining for mapping nested loop on CGRAs
Conference paper
Conference paper
Optimising bootstrapping algorithms using R and Hadoop
Conference paper
Conference paper
An iterative parameter estimation method for biological systems and its parallel implementation
Article
Cloud computing in e-Science: Research challenges and opportunities
Article
Concinnity: A Generic Platform for Big Sensor Data Applications
Article
DSIMBench: A benchmark for microarray data using R
Article
Enabling cost-aware and adaptive elasticity of multi-tier cloud applications
Article
Inferring cell-scale signalling networks via compressive sensing
Article
Linear Dynamic Sparse Modelling for functional MR imaging
Article
Optimising parallel R correlation matrix calculations on gene expression data using MapReduce
Article
Parallel clustering algorithm for large-scale biological data sets
Article
Elastic application container system: Elastic web applications provisioning
Book chapter
Elastic application container system: Elastic web applications provisioning
Book chapter
Wiki-health: A big data platform for health sensor data management
Book chapter
Balancing the stability and predictive performance for multivariate voxel selection in fMRI study
Conference paper
BigData oriented open scalable relational data model
Conference paper
Building a cloud-based platform for personal health sensor data management
Conference paper
Conference paper
Enabling health monitoring as a service in the cloud
Conference paper
Enabling performance as a service for a cloud storage system
Conference paper
Feature extraction with stacked autoencoders for epileptic seizure detection
Conference paper
Integration of sparse Bayesian learning and random subspace for fMRI Multivariate Pattern Analysis
Conference paper
Biocloud: Cloud computing for biological, genomics, and drug design
Article
Elastic information management for air pollution monitoring in large-scale M2M sensor networks
Article
Article
Techniques to aid the implementation of novel clinical information systems: A systematic review
Article
Article
Article
Computational infrastructures for data and knowledge management in systems biology
Book chapter
An approximation approach to measurement design in the reconstruction of functional MRI sequences
Conference paper
An Efficient and Performance-Aware Big Data Storage System
Conference paper
Building a generic platform for big sensor data application
Conference paper
Cloud resource monitoring for intrusion detection
Conference paper
Elastic algorithms for guaranteeing quality monotonicity in big data mining
Conference paper
Enhanced user data privacy with pay-by-data model
Conference paper
High dimensional biological data retrieval optimization with NoSQL technology
Conference paper
Research on semantic similarity calculation of linked data based on multiple factors
Conference paper
Sensor deployment in Bayesian compressive sensing based environmental monitoring
Conference paper
Modelling and performance analysis of clinical pathways using the stochastic process algebra PEPA
Article
Programming directives for elastic computing
Article
Social networking federation: A position paper
Article
Wikisensing: An online collaborative approach for sensor data management
Article
System Biology Approach to Study Cancer Related Pathways
Book chapter
A new paradigm for web app development, deployment, distribution, and collaboration
Conference paper
A semantic relatedness service based on folksonomy
Conference paper
An EEG-based brain informatics application for enhancing music experience
Conference paper
An iterative parameter estimation method for biological systems
Conference paper
Automating mass spectrometry proteomics analysis
Conference paper
CACSS: Towards a generic cloud storage service
Conference paper
Cloud program with a pricing strategy for Iaas in cloud computing
Conference paper
Delayed switching applied to memristor neural networks
Conference paper
Developing a novel integrated model of p38 MAPK and glucocorticoid signalling pathways
Conference paper
Does the Cloud need new algorithms? An introduction to elastic algorithms
Conference paper
Elastic application container: A lightweight approach for cloud resource provisioning
Conference paper
Environmental monitoring via compressive sensing
Conference paper
Improving resource utilisation in the cloud environment using multivariate probabilistic models
Conference paper
Lightweight resource scaling for cloud applications
Conference paper
Distributed clustering-based aggregation algorithm for spatial correlated sensor networks
Article
IC cloud: Enabling compositional cloud
Article
Principles of elastic processes
Article
The ForeSee (4C) Approach for Integrative Analysis in Gene Discovery
Book chapter
A deployment platform for dynamically scaling applications in the cloud
Conference paper
Detecting insecure person in crowd with human sensor
Conference paper
Conference paper
Finding consistent disease subnetworks across microarray datasets
Conference paper
Real time elastic cloud management for limited resources
Conference paper
Consistency, comprehensiveness, and compatibility of pathway databases
Article
Delayed switching in memristors and memristive systems
Article
Polymorphic type framework for scientific workflows with relational data model
Article
RECA: Referenced energy-based CDS algorithm in wireless sensor networks
Article
The design and implementation of a workflow analysis tool
Article
IC cloud: A design space for composable cloud computing
Conference paper
Conference paper
Optimization of resource scheduling in cloud computing
Conference paper
Process Calculi for systems biology
Conference paper
Process calculi for systems biology and applications in severe asthma
Conference paper
Analysing scientific workflows with computational tree logic
Article
Creating the message infrastructure
Article
Eight times acceleration of geospatial data archiving and distribution on the grids
Article
Building and Using Analytical Workflows in Discovery Net
Book chapter
Data mining tools and techniques for identification of biomarkers for cancer
Book chapter
Book chapter
Conference paper
Real-time data mining methodology and a supporting framework
Conference paper
A case for Redundant Arrays of Hybrid Disks (RAHD)
Article
Air pollution monitoring and mining based on sensor Grid in London
Article
Grid-optimized Web 3D applications on wide area network
Conference paper
Mining Adverse Drug Reactions with e-Science workflows
Conference paper
Grid-Oriented Storage: A single-image, cross-domain, high-bandwidth architecture
Article
Heterogeneous workflows in scientific workflow systems
Conference paper
Supporting scientific discovery processes in Discovery Net
Conference paper
KDE Bioscience: Platform for bioinformatics analysis workflows
Article
Achievements and experiences from a Grid-based earthquake analysis and modelling study
Conference paper
Building next generation service-oriented architectures using argumentation agents
Conference paper
Grid-based analysis of air pollution data
Conference paper
Cluster Computing and Grid 2005 works in progress
Article
Integrated informatics in life and materials sciences: An oxymoron?
Article
Web services in the life sciences
Article
A grid infrastructure for mixed bioinformatics data and text mining
Conference paper
Bridging the macro and Micro: A computing intensive earthquake study using Discovery Net
Conference paper
Using DragPushing to refine centroid text classifiers
Conference paper
Conference paper
InfoGrid: Providing information integration for knowledge discovery
Article
The design of discovery net: Towards open grid services for knowledge discovery
Article
A Distributed and Mobile Data Mining System
Conference paper
Option pricing under model and parameter uncertainty using predictive densities
Article
Discovery net: Towards a grid of knowledge discovery
Conference paper
Grid-based knowledge discovery services for high throughput informatics
Conference paper
Developing a distributed scalable Java component server
Article
Article
Fuzzy partitioning systems for electrofacies classification: A case study from the Maracaibo Basin
Article
Minimised Geometric Buchberger Algorithm for Integer Programming
Article
Design of problem-solving environment for contingent claim valuation
Conference paper
Design of high performance financial modelling environment
Article
Modelling integer programming with logic: Language and implementation
Article
Data Mining for the e-business: Developments and directions
Conference paper
Developing a Distributed Scalable Enterprise JavaBean Server
Conference paper
New paradigms in information visualization
Conference paper
An architecture for distributed enterprise data mining
Conference paper
Probing knowledge in distributed data mining
Conference paper
Visual language for Internet-based data mining and data visualization
Conference paper
GOFFIN: Higher-order functions meet concurrent constraints
Article
A software architecture for deploying high performance solution on the internet
Conference paper
Enlarging the scope of vector-based computations: extending Fortran 90 by nested data parallelism
Conference paper
Minimized geometric Buchberger algorithm: An optimal algebraic algorithm for integer programming
Conference paper
Parallel induction algorithms for data mining
Conference paper
Co-ordinating heterogeneous parallel computation
Conference paper
Functional skeletons for parallel coordination
Conference paper
Parallel Fortran family and a new perspective
Conference paper
Parallel skeletons for structured composition
Conference paper
Parallel Skeletons for Structured Composition
Conference paper
Constraint logic programming in the sequent calculus
Conference paper
Functional programming languages with logical variables: A linear logic view
Conference paper
Constrained equational deduction
Conference paper
On the execution mechanisms of parallel graph reduction
Article
Conference paper
The unification of functional and logic languages--Towards constraint functional programming
Conference paper
Design Considerations of a Distributed Parallel Reduction Architecture
Conference paper
DEA: Data-efficient augmentation for interpretable medical image segmentation
Efficient deep data assimilation with sparse observations and time-varying sensors
GNN-MgrPool: Enhanced graph neural networks with multi-granularity pooling for graph classification
Labelling with dynamics: A data-efficient learning paradigm for medical image segmentation
ReChoreoNet: Repertoire-based Dance Re-choreography with Music-conditioned Temporal and Style Clues
Video-Instrument Synergistic Network for Referring Video Instrument Segmentation in Robotic Surgery
zkFL: Zero-Knowledge Proof-based Gradient Aggregation for Federated Learning
AttnZero: Efficient Attention Discovery for Vision Transformers
Auto-GAS: Automated Proxy Discovery for Training-Free Generative Architecture Search
Can LLMs" Reason" in Music? An Evaluation of LLMs' Capability of Music Understanding and Generation
ChatMusician: Understanding and Generating Music Intrinsically with LLM
EDM: Synthetic Data from Exemplar Diffusion Model Improves Non-Communicable Diseases Detection
FastSAG: Towards Fast Non-Autoregressive Singing Accompaniment Generation
Hierarchical Linear Symbolized Tree-Structured Neural Processes
Mert: Acoustic Music Understanding Model With Large-scale Self-supervised Training
RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation
Weakly-Supervised Emotion Transition Learning for Diverse 3D Co-speech Gesture Generation
A Generative Model for Surrogates of Spatial-Temporal Wildfire Nowcasting
STR Transformer: A Cross-domain Transformer for Scene Text Recognition
CoMoSpeech: One-Step Speech and Singing Voice Synthesis via Consistency Model
LyricWhiz: Robust Multilingual Zero-shot Lyrics Transcription by Whispering to ChatGPT
Marble: Music audio representation benchmark for universal evaluation
Unsupervised Zero-Shot Learning for Achieve Cross-Modal Alignment with Counterfactuals
Association of Differential Mast Cell Activation with Granulocytic Inflammation in Severe Asthma
Data-driven surrogate model with latent data assimilation: Application to wildfire forecasting
Determinants of expression of SARS-CoV-2 entry-related genes in upper and lower airways
Digital twins based on bidirectional LSTM and GAN for modelling the COVID-19 pandemic
Erratum: Crucial role for lung iron level and regulation in the pathogenesis and severity of asthma
FTAP: Feature transferring autonomous machine learning pipeline
Missile aerodynamic shape optimization design using deep neural networks
MKD: Mixup-Based Knowledge Distillation for Mandarin End-to-End Speech Recognition
Multiple Detection Model Fusion Framework for Printed Circuit Board Defect Detection
Phenotyping in clinical text with unsupervised numerical reasoning for patient stratification
Relationship between type 2 cytokine and inflammasome responses in obesity-associated asthma
Scale-Consistent Fusion: From Heterogeneous Local Sampling to Global Immersive Rendering
Suggestive annotation of brain MR images with gradient-guided sampling
Toward High-Performance Map-Recovery of Air Pollution Using Machine Learning
UBAR: User Behavior-Aware Recommendation with knowledge graph
Weather-degraded image semantic segmentation with multi-task knowledge distillation
A blockchain-based trust system for decentralised applications: When trustless needs trust
Deep data assimilation: Integrating deep learning with data assimilation
Fast data assimilation (FDA): Data assimilation by machine learning for faster optimize model state
Hyocholic acid species as novel biomarkers for metabolic disorders
Instability of sputum molecular phenotypes in U-BIOPRED severe asthma
Modeling of suppression and mitigation interventions in the COVID-19 epidemics
Network-based visualisation reveals new insights into transposable element diversity
Nonlinear modulation of COVID-19 transmission by climate conditions
Omiembed: A unified multi-task deep learning framework for multi-omics data
Privacy preservation in federated learning: An insightful survey from the GDPR perspective
Sputum ACE2, TMPRSS2 and FURIN gene expression in severe neutrophilic asthma
Sputum macrophage diversity and activation in asthma: Role of severity and inflammatory phenotype
Trustworthiness assessment for industrial IoT as multilayer networks with von Neumann entropy
Type 2-low asthma phenotypes by integration of sputum transcriptomics and serum proteomics
BU-Trace: A Permissionless Mobile System for Privacy-Preserving Intelligent Contact Tracing
Data Assimilation in the Latent Space of a Convolutional Autoencoder
HNECV: Heterogeneous Network Embedding via Cloud Model and Variational Inference
Interpretability Latent Space Method: Exploiting Shapley Representation to Explain Latent Space
Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation
Label-dependent and event-guided interpretable disease risk prediction using EHRs
Methods and Applications of Causal Reasoning in Medical Field
A Bayesian Updating Scheme for Pandemics: Estimating the Infection Dynamics of COVID-19
A case study on understanding energy consumption through prediction and visualization (VIMOEN)
A data driven methodology for social science research with left-behind children as a case study
A population-based phenome-wide association study of cardiac and aortic structure and function
An epidemiological modelling approach for COVID-19 via data assimilation
Attention-based Convolutional Autoencoders for 3D-Variational Data Assimilation
Collaborative Defense with Multiple USVs and UAVs Based on Swarm Intelligence
Crucial role for lung iron level and regulation in the pathogenesis and severity of asthma
Data-driven reduced order model with temporal convolutional neural network
GDPR-Compliant Personal Data Management: A Blockchain-Based Solution
Improving taxonomic relation learning via incorporating relation descriptions into word embeddings
Multiple premises entailment recognition based on attention and gate mechanism
Network structure-based interventions on spatial spread of epidemics in metapopulation networks
Open Visualization Environment (OVE): A web framework for scalable rendering of data visualizations
The assessment of small bowel motility with attentive deformable neural network
The fair value of a token: How do markets price cryptocurrencies?
Towards a large-scale twitter observatory for political events
TUORIS: A middleware for visualizing dynamic graphics in scalable resolution display environments
Vitamin d metabolism is dysregulated in asthma and chronic obstructive pulmonary disease
Weak Constraint Gaussian Processes for optimal sensor placement
A domain decomposition reduced order model with data assimilation (DD-RODA)
Adaptive Domain Decomposition for Effective Data Assimilation
Automatic brain tumour segmentation and biophysics-guided survival prediction
Deep Generative Model-Based Quality Control for Cardiac MRI Segmentation
Suggestive Annotation of Brain Tumour Images with Gradient-Guided Sampling
“T2-high” in severe asthma related to blood eosinophil, exhaled nitric oxide and serum periostin
A machine learning attack against variable-length Chinese character CAPTCHAs
A reduced order model for turbulent flows in the urban environment using machine learning
An artificial intelligence based data-driven approach for design ideation
An unsupervised approach for learning a Chinese IS-A taxonomy from an unstructured corpus
Cf-prov: A content-rich and fine-grained scientific workflow provenance model
Contribution of airway eosinophils in airway wall remodeling in asthma: Role of MMP-10 and MET
Enhancing CFD-LES air pollution prediction accuracy using data assimilation
Epithelial dysregulation in obese severe asthmatics with gastro-oesophageal reflux
Epithelial IL-6 trans-signaling defines a new asthma phenotype with increased airway inflammation
Generalised regression hypothesis induction for energy consumption forecasting
Hierarchical attention based long short-term memory for Chinese lyric generation
IL-17–high asthma with features of a psoriasis immunophenotype
Model error correction in data assimilation by integrating neural networks
Moderate-to-severe asthma in individuals of European ancestry: a genome-wide association study
Multi-distribution characteristics based Chinese entity synonym extraction from the web
Navigating the disease landscape: Knowledge representations for contextualizing molecular signatures
PlatformTM, a standards-based data custodianship platform for translational medicine research
Stratification of asthma phenotypes by airway proteomic signatures
Study on the factors affecting solid solubility in binary alloys: An exploration by Machine Learning
TeraVR empowers precise reconstruction of complete 3-D neuronal morphology in the whole brain
Treatable traits in the European U-BIOPRED adult asthma cohorts
Blockchain-based Personal Data Management: From Fiction to Solution
Compositional Microservices for Immersive Social Visual Analytics
Conditional image synthesis using stacked auxiliary classifier generative adversarial networks
Data assimilation for parameter estimation in economic modelling
Generative creativity: Adversarial learning for bionic design
Identity authentication on mobile devices using face verification and ID image recognition
Improved accuracy stock price change prediction model using trading volume
Integrating semantic knowledge to tackle zero-shot text classification
Multi-domain and sub-role oriented software architecture for managing scientific big data
Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction
SIMGAN: Photo-Realistic Semantic Image Manipulation Using Generative Adversarial Networks
The collaborative strategy of multiple USVs with deep reinforcement learning method
Transfer learning from partial annotations for whole brain segmentation
A computational framework for complex disease stratification from multiple large-scale datasets
A novel community detection algorithm based on simplification of complex networks
A visual attention-based keyword extraction for document classification
An Ensemble Clusterer of Multiple Fuzzy k-Means Clusterings to Recognize Arbitrarily Shaped Clusters
Deep unfolded IRLS-ADMM network for classification and sparse feature selection
Effective variational data assimilation in air-pollution prediction
Lipid phenotyping of lung epithelial lining fluid in healthy human volunteers
Mixed Neural Network Approach for Temporal Sleep Stage Classification
Model identification of reduced order fluid dynamics systems using deep learning
Pathway discovery using transcriptomic profiles in adult-onset severe asthma
Remote monitoring in the home validates clinical gait measures for multiple sclerosis
TGF-β Signaling Pathways in Different Compartments of the Lower Airways of Patients With Stable COPD
Towards open data blockchain analytics: A bitcoin perspective
Using support vector machine on EEG for advertisement impact assessment
A multi tenant computational platform for translational medicine
Attacking strategy of multiple unmanned surface vehicles based on DAMGWO algorithm
Deep sequence learning with auxiliary information for traffic prediction
Dest-resnet: A deep spatiotemporal residual network for hotspot traffic speed prediction
Enhancing feature correlation for bi-modal group emotion recognition
I2T2I: Learning text to image synthesis with textual data augmentation
Multiple feature fusion for automatic emotion recognition using EEG signals
Real-time Quality Prediction of Casting Billet Based on Random Forest Algorithm
Text-to-image synthesis via visual-memory creative adversarial network
The Deep Poincaré Map: A Novel Approach for Left Ventricle Segmentation
A visual analytics approach for station-based air quality data
DeepSleepNet: A model for automatic sleep stage scoring based on raw single-channel EEG
Discover semantic topics in patents within a specific domain
Fast density clustering strategies based on the k-means algorithm
Fast graph clustering with a new description model for community detection
Improving data exploration in graphs with fuzzy logic and large-scale visualisation
Inferring functional connectivity in fMRI using minimum partial correlation
Small bowel motility assessment based on fully convolutional networks and long short-term memory
U-BIOPRED clinical adult asthma clusters linked to a subset of sputum omics
Automatic brain tumor detection and segmentation using U-net based fully convolutional networks
ETRIKS analytical environment: A modular high performance framework for medical data analysis
Exploratory analysis of big social data using MIC/MINE statistics
TensorLayer: A versatile library for efficient deep learning development
The combat of unmanned surface vehicles based on wolves attack
The cooperative defense system by team of USVs in complicated sea environment
A Coarse-Grained Reconfigurable Architecture for Compute-Intensive MapReduce Acceleration
Automatic Sleep Stage Scoring Using Time-Frequency Analysis and Stacked Sparse Autoencoders
CGDM: Collaborative genomic data model for molecular profiling data using NoSQL
Inferring Individual-Level Variations in the Functional Parcellation of the Cerebral Cortex
Making sense of big data in health research: Towards an EU action plan
Severe asthma exists despite suppressed tissue inflammation: findings of the U-BIOPRED study
A new soft material based in-the-ear EEG recording technique
Generating computational taxonomy for business models of the digital economy
Parameter estimation for gene regulatory networks: A two-stage MCMC Bayesian approach
Resampling-based variable selection with lasso for p >> n and partially linear models
Clinical and inflammatory characteristics of the European U-BIOPRED adult severe asthma cohort
Fast traffic sign recognition with a rotation invariant binary pattern based feature
An iterative parameter estimation method for biological systems and its parallel implementation
Cloud computing in e-Science: Research challenges and opportunities
Concinnity: A Generic Platform for Big Sensor Data Applications
Enabling cost-aware and adaptive elasticity of multi-tier cloud applications
Inferring cell-scale signalling networks via compressive sensing
Optimising parallel R correlation matrix calculations on gene expression data using MapReduce
Parallel clustering algorithm for large-scale biological data sets
Elastic application container system: Elastic web applications provisioning
Elastic application container system: Elastic web applications provisioning
Wiki-health: A big data platform for health sensor data management
Balancing the stability and predictive performance for multivariate voxel selection in fMRI study
Building a cloud-based platform for personal health sensor data management
Enabling performance as a service for a cloud storage system
Feature extraction with stacked autoencoders for epileptic seizure detection
Integration of sparse Bayesian learning and random subspace for fMRI Multivariate Pattern Analysis
Biocloud: Cloud computing for biological, genomics, and drug design
Elastic information management for air pollution monitoring in large-scale M2M sensor networks
Techniques to aid the implementation of novel clinical information systems: A systematic review
An approximation approach to measurement design in the reconstruction of functional MRI sequences
Elastic algorithms for guaranteeing quality monotonicity in big data mining
High dimensional biological data retrieval optimization with NoSQL technology
Research on semantic similarity calculation of linked data based on multiple factors
Sensor deployment in Bayesian compressive sensing based environmental monitoring
Modelling and performance analysis of clinical pathways using the stochastic process algebra PEPA
Wikisensing: An online collaborative approach for sensor data management
A new paradigm for web app development, deployment, distribution, and collaboration
An EEG-based brain informatics application for enhancing music experience
An iterative parameter estimation method for biological systems
Cloud program with a pricing strategy for Iaas in cloud computing
Developing a novel integrated model of p38 MAPK and glucocorticoid signalling pathways
Does the Cloud need new algorithms? An introduction to elastic algorithms
Elastic application container: A lightweight approach for cloud resource provisioning
Improving resource utilisation in the cloud environment using multivariate probabilistic models
Consistency, comprehensiveness, and compatibility of pathway databases
Polymorphic type framework for scientific workflows with relational data model
RECA: Referenced energy-based CDS algorithm in wireless sensor networks
Analysing scientific workflows with computational tree logic
Eight times acceleration of geospatial data archiving and distribution on the grids
InfoGrid: Providing information integration for knowledge discovery
The design of discovery net: Towards open grid services for knowledge discovery
Fuzzy partitioning systems for electrofacies classification: A case study from the Maracaibo Basin
Minimised Geometric Buchberger Algorithm for Integer Programming
Design of problem-solving environment for contingent claim valuation