b'Yike Guo'

research

∙ 09/13/2023

Continual Learning with Dirichlet Generative-based Rehearsal

Recent advancements in data-driven task-oriented dialogue systems (ToDs)...

0 Min Zeng, et al. ∙

research

∙ 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...

0 Hongqiu Wang, et al. ∙

research

∙ 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...

0 Sibo Cheng, et al. ∙

research

∙ 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...

0 Jingqing Zhang, et al. ∙

research

∙ 07/11/2023

On the Effectiveness of Speech Self-supervised Learning for Music

Self-supervised learning (SSL) has shown promising results in various sp...

0 Yinghao Ma, et al. ∙

research

∙ 06/29/2023

LyricWhiz: Robust Multilingual Zero-shot Lyrics Transcription by Whispering to ChatGPT

We introduce LyricWhiz, a robust, multilingual, and zero-shot automatic ...

0 Le Zhuo, et al. ∙

research

∙ 06/18/2023

MARBLE: Music Audio Representation Benchmark for Universal Evaluation

In the era of extensive intersection between art and Artificial Intellig...

4 Ruibin Yuan, et al. ∙

research

∙ 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...

2 Yizhi Li, et al. ∙

research

∙ 05/22/2023

Interactive Natural Language Processing

Interactive Natural Language Processing (iNLP) has emerged as a novel pa...

3 Zekun Wang, et al. ∙

research

∙ 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...

0 Zhen Ye, et al. ∙

research

∙ 05/11/2023

CoMoSpeech: One-Step Speech and Singing Voice Synthesis via Consistency Model

Denoising diffusion probabilistic models (DDPMs) have shown promising pe...

0 Zhen Ye, et al. ∙

research

∙ 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...

0 Wei Xue, et al. ∙

research

∙ 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...

0 Sibo Cheng, et al. ∙

research

∙ 08/18/2022

Pathway to Future Symbiotic Creativity

This report presents a comprehensive view of our vision on the developme...

0 Yike Guo, et al. ∙

research

∙ 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...

0 Ho Yin Au, et al. ∙

research

∙ 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...

7 Junkun Jiang, et al. ∙

research

∙ 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...

0 Chengliang Dai, et al. ∙

research

∙ 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...

0 Heng-Yi Wu, et al. ∙

research

∙ 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...

0 Jingqing Zhang, et al. ∙

research

∙ 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...

0 Ashwani Tanwar, et al. ∙

research

∙ 04/13/2022

Receding Neuron Importances for Structured Pruning

Structured pruning efficiently compresses networks by identifying and re...

4 Mihai Suteu, et al. ∙

research

∙ 01/18/2022

Label-dependent and event-guided interpretable disease risk prediction using EHRs

Electronic health records (EHRs) contain patients' heterogeneous data th...

0 Shuai Niu, et al. ∙

research

∙ 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 ...

0 Shuai Niu, et al. ∙

research

∙ 11/27/2021

OmiTrans: generative adversarial networks based omics-to-omics translation framework

With the rapid development of high-throughput experimental technologies,...

2 Xiaoyu Zhang, et al. ∙

research

∙ 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...

0 Jingqing Zhang, et al. ∙

research

∙ 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...

0 Jingqing Zhang, et al. ∙

research

∙ 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...

36 Eloise Withnell, et al. ∙

research

∙ 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...

0 Cesar Quilodran Casas, et al. ∙

research

∙ 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...

0 Axel Oehmichen, et al. ∙

research

∙ 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...

0 Pan Wang, et al. ∙

research

∙ 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...

0 Cesar Quilodran Casas, et al. ∙

research

∙ 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...

13 Xiaoyu Zhang, et al. ∙

research

∙ 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...

0 Nguyen Truong, et al. ∙

research

∙ 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...

0 Zhe Peng, et al. ∙

research

∙ 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 ...

0 Cesar Quilodran Casas, et al. ∙

research

∙ 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...

0 Xian Yang, et al. ∙

research

∙ 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...

0 Nguyen Truong, et al. ∙

research

∙ 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...

0 Chengliang Dai, et al. ∙

research

∙ 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...

20 Philip Nadler, et al. ∙

research

∙ 12/14/2019

Regularizing Deep Multi-Task Networks using Orthogonal Gradients

Deep neural networks are a promising approach towards multi-task learnin...

0 Mihai Suteu, et al. ∙

research

∙ 11/25/2019

Biologically inspired architectures for sample-efficient deep reinforcement learning

Deep reinforcement learning requires a heavy price in terms of sample ef...

0 Pierre H. Richemond, et al. ∙

research

∙ 11/19/2019

Automatic Brain Tumour Segmentation and Biophysics-Guided Survival Prediction

Gliomas are the most common malignant brain tumourswith intrinsic hetero...

0 Shuo Wang, et al. ∙

research

∙ 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 ...

0 Jingqing Zhang, et al. ∙

research

∙ 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...

0 Chengliang Dai, et al. ∙

research

∙ 08/28/2019

Blockchain-based Personal Data Management: From Fiction to Solution

The emerging blockchain technology has enabled various decentralised app...

0 Nguyen Truong, et al. ∙

research

∙ 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...

0 Xiaoyu Zhang, et al. ∙

research

∙ 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 ...

6 Wenjia Bai, et al. ∙

research

∙ 05/29/2019

A backdoor attack against LSTM-based text classification systems

With the widespread use of deep learning system in many applications, th...

0 Jiazhu Dai, et al. ∙

research

∙ 05/03/2019

Static Activation Function Normalization

Recent seminal work at the intersection of deep neural networks practice...

0 Pierre H. Richemond, et al. ∙

research

∙ 04/05/2019

GDPR-Compliant Personal Data Management: A Blockchain-based Solution

The General Data Protection Regulation (GDPR) gives control of personal ...

0 Nguyen Binh Truong, et al. ∙

Yike Guo

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