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09/13/2023
Continual Learning with Dirichlet Generative-based Rehearsal
Recent advancements in data-driven task-oriented dialogue systems (ToDs)...
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08/18/2023
Video-Instrument Synergistic Network for Referring Video Instrument Segmentation in Robotic Surgery
Robot-assisted surgery has made significant progress, with instrument se...
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08/05/2023
A generative model for surrogates of spatial-temporal wildfire nowcasting
Recent increase in wildfires worldwide has led to the need for real-time...
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07/16/2023
The Potential and Pitfalls of using a Large Language Model such as ChatGPT or GPT-4 as a Clinical Assistant
Recent studies have demonstrated promising performance of ChatGPT and GP...
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07/11/2023
On the Effectiveness of Speech Self-supervised Learning for Music
Self-supervised learning (SSL) has shown promising results in various sp...
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06/29/2023
LyricWhiz: Robust Multilingual Zero-shot Lyrics Transcription by Whispering to ChatGPT
We introduce LyricWhiz, a robust, multilingual, and zero-shot automatic ...
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06/18/2023
MARBLE: Music Audio Representation Benchmark for Universal Evaluation
In the era of extensive intersection between art and Artificial Intellig...
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05/31/2023
MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training
Self-supervised learning (SSL) has recently emerged as a promising parad...
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05/22/2023
Interactive Natural Language Processing
Interactive Natural Language Processing (iNLP) has emerged as a novel pa...
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05/22/2023
NAS-FM: Neural Architecture Search for Tunable and Interpretable Sound Synthesis based on Frequency Modulation
Developing digital sound synthesizers is crucial to the music industry a...
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05/11/2023
CoMoSpeech: One-Step Speech and Singing Voice Synthesis via Consistency Model
Denoising diffusion probabilistic models (DDPMs) have shown promising pe...
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05/09/2023
Learn to Sing by Listening: Building Controllable Virtual Singer by Unsupervised Learning from Voice Recordings
The virtual world is being established in which digital humans are creat...
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03/18/2023
Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review
Data Assimilation (DA) and Uncertainty quantification (UQ) are extensive...
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08/18/2022
Pathway to Future Symbiotic Creativity
This report presents a comprehensive view of our vision on the developme...
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07/15/2022
ChoreoGraph: Music-conditioned Automatic Dance Choreography over a Style and Tempo Consistent Dynamic Graph
To generate dance that temporally and aesthetically matches the music is...
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07/15/2022
A Dual-Masked Auto-Encoder for Robust Motion Capture with Spatial-Temporal Skeletal Token Completion
Multi-person motion capture can be challenging due to ambiguities caused...
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06/02/2022
Suggestive Annotation of Brain MR Images with Gradient-guided Sampling
Machine learning has been widely adopted for medical image analysis in r...
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05/24/2022
Medical Scientific Table-to-Text Generation with Human-in-the-Loop under the Data Sparsity Constraint
Structured (tabular) data in the preclinical and clinical domains contai...
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05/18/2022
A Scalable Workflow to Build Machine Learning Classifiers with Clinician-in-the-Loop to Identify Patients in Specific Diseases
Clinicians may rely on medical coding systems such as International Clas...
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04/19/2022
Unsupervised Numerical Reasoning to Extract Phenotypes from Clinical Text by Leveraging External Knowledge
Extracting phenotypes from clinical text has been shown to be useful for...
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04/13/2022
Receding Neuron Importances for Structured Pruning
Structured pruning efficiently compresses networks by identifying and re...
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01/18/2022
Label-dependent and event-guided interpretable disease risk prediction using EHRs
Electronic health records (EHRs) contain patients' heterogeneous data th...
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01/18/2022
Label Dependent Attention Model for Disease Risk Prediction Using Multimodal Electronic Health Records
Disease risk prediction has attracted increasing attention in the field ...
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11/27/2021
OmiTrans: generative adversarial networks based omics-to-omics translation framework
With the rapid development of high-throughput experimental technologies,...
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09/04/2021
Self-Supervised Detection of Contextual Synonyms in a Multi-Class Setting: Phenotype Annotation Use Case
Contextualised word embeddings is a powerful tool to detect contextual s...
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07/24/2021
Clinical Utility of the Automatic Phenotype Annotation in Unstructured Clinical Notes: ICU Use Cases
Clinical notes contain information not present elsewhere, including drug...
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05/26/2021
XOmiVAE: an interpretable deep learning model for cancer classification using high-dimensional omics data
Deep learning based approaches have proven promising to model omics data...
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04/13/2021
Adversarial autoencoders and adversarial LSTM for improved forecasts of urban air pollution simulations
This paper presents an approach to improve the forecast of computational...
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03/31/2021
MOAI: A methodology for evaluating the impact of indoor airflow in the transmission of COVID-19
Epidemiology models play a key role in understanding and responding to t...
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03/29/2021
Product semantics translation from brain activity via adversarial learning
A small change of design semantics may affect a user's satisfaction with...
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02/03/2021
Digital twins based on bidirectional LSTM and GAN for modelling COVID-19
The outbreak of the coronavirus disease 2019 (COVID-19) has now spread t...
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02/03/2021
OmiEmbed: reconstruct comprehensive phenotypic information from multi-omics data using multi-task deep learning
High-dimensional omics data contains intrinsic biomedical information th...
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01/26/2021
A Blockchain-based Trust System for Decentralised Applications: When trustless needs trust
Blockchain technology has been envisaged to commence an era of decentral...
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01/24/2021
BU-Trace: A Permissionless Mobile System for Privacy-Preserving Intelligent Contact Tracing
The coronavirus disease 2019 (COVID-19) pandemic has caused an unprecede...
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01/05/2021
Adversarially trained LSTMs on reduced order models of urban air pollution simulations
This paper presents an approach to improve computational fluid dynamics ...
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12/22/2020
Revealing the Transmission Dynamics of COVID-19: A Bayesian Framework for R_t Estimation
In epidemiological modelling, the instantaneous reproduction number, R_t...
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11/10/2020
Privacy Preservation in Federated Learning: Insights from the GDPR Perspective
Along with the blooming of AI and Machine Learning-based applications an...
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06/26/2020
Suggestive Annotation of Brain Tumour Images with Gradient-guided Sampling
Machine learning has been widely adopted for medical image analysis in r...
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04/25/2020
An Epidemiological Modelling Approach for Covid19 via Data Assimilation
The global pandemic of the 2019-nCov requires the evaluation of policy i...
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12/14/2019
Regularizing Deep Multi-Task Networks using Orthogonal Gradients
Deep neural networks are a promising approach towards multi-task learnin...
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11/25/2019
Biologically inspired architectures for sample-efficient deep reinforcement learning
Deep reinforcement learning requires a heavy price in terms of sample ef...
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11/19/2019
Automatic Brain Tumour Segmentation and Biophysics-Guided Survival Prediction
Gliomas are the most common malignant brain tumourswith intrinsic hetero...
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11/10/2019
Unsupervised Annotation of Phenotypic Abnormalities via Semantic Latent Representations on Electronic Health Records
The extraction of phenotype information which is naturally contained in ...
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08/28/2019
Transfer Learning from Partial Annotations for Whole Brain Segmentation
Brain MR image segmentation is a key task in neuroimaging studies. It is...
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08/28/2019
Blockchain-based Personal Data Management: From Fiction to Solution
The emerging blockchain technology has enabled various decentralised app...
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08/17/2019
Integrated Multi-omics Analysis Using Variational Autoencoders: Application to Pan-cancer Classification
Different aspects of a clinical sample can be revealed by multiple types...
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07/05/2019
Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction
In the recent years, convolutional neural networks have transformed the ...
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05/29/2019
A backdoor attack against LSTM-based text classification systems
With the widespread use of deep learning system in many applications, th...
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05/03/2019
Static Activation Function Normalization
Recent seminal work at the intersection of deep neural networks practice...
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04/05/2019