Julia Ive

Julia Ive

Imperial College London

H-index: 11

Europe-United Kingdom

About Julia Ive

Julia Ive, With an exceptional h-index of 11 and a recent h-index of 10 (since 2020), a distinguished researcher at Imperial College London,

His recent articles reflect a diverse array of research interests and contributions to the field:

Safe Training with Sensitive In-domain Data: Leveraging Data Fragmentation To Mitigate Linkage Attacks

Using Large Language Models (LLMs) to Extract Evidence from Pre-Annotated Social Media Data

Clinically meaningful timeline summarisation in social media for mental health monitoring

Systems and methods for generating a text report and simulating health care journey

Embracing the uncertainty in human–machine collaboration to support clinical decision-making for mental health conditions

Source Code is a Graph, Not a Sequence: A Cross-Lingual Perspective on Code Clone Detection

Natural Language Processing: A Machine Learning Perspective by Yue Zhang and Zhiyang Teng

Leveraging the potential of synthetic text for AI in mental healthcare

Julia Ive Information

University

Position

___

Citations(all)

501

Citations(since 2020)

480

Cited By

132

hIndex(all)

11

hIndex(since 2020)

10

i10Index(all)

13

i10Index(since 2020)

11

Email

University Profile Page

Imperial College London

Google Scholar

View Google Scholar Profile

Top articles of Julia Ive

Title

Journal

Author(s)

Publication Date

Safe Training with Sensitive In-domain Data: Leveraging Data Fragmentation To Mitigate Linkage Attacks

arXiv preprint arXiv:2404.19486

Mariia Ignashina

Julia Ive

2024/4/30

Using Large Language Models (LLMs) to Extract Evidence from Pre-Annotated Social Media Data

Falwah Alhamed

Julia Ive

Lucia Specia

2024/3

Clinically meaningful timeline summarisation in social media for mental health monitoring

arXiv preprint arXiv:2401.16240

Jiayu Song

Jenny Chim

Adam Tsakalidis

Julia Ive

Dana Atzil-Slonim

...

2024/1/29

Systems and methods for generating a text report and simulating health care journey

2024/1/25

Embracing the uncertainty in human–machine collaboration to support clinical decision-making for mental health conditions

Frontiers in Digital Health

Ram Popat

Julia Ive

2023/9/5

Source Code is a Graph, Not a Sequence: A Cross-Lingual Perspective on Code Clone Detection

arXiv preprint arXiv:2312.16488

Mohammed Ataaur Rahaman

Julia Ive

2023/12/27

Natural Language Processing: A Machine Learning Perspective by Yue Zhang and Zhiyang Teng

Julia Ive

2022/4/4

Leveraging the potential of synthetic text for AI in mental healthcare

Frontiers in Digital Health

Julia Ive

2022/10

Clinical utility of automatic phenotype annotation in unstructured clinical notes: intensive care unit use

BMJ Health & Care Informatics

Jingqing Zhang

Luis Daniel Bolanos Trujillo

Ashwani Tanwar

Julia Ive

Vibhor Gupta

...

2022

Revisiting contextual toxicity detection in conversations

ACM Journal of Data and Information Quality

Atijit Anuchitanukul

Julia Ive

Lucia Specia

2022/12/28

SURF: Semantic-level Unsupervised Reward Function for Machine Translation

Atijit Anuchitanukul

Julia Ive

2022/7

Controlled text generation using T5 based encoder-decoder soft prompt tuning and analysis of the utility of generated text in AI

arXiv preprint arXiv:2212.02924

Damith Chamalke Senadeera

Julia Ive

2022/12/6

Predicting moments of mood changes overtime from imbalanced social media data

Falwah AlHamed

Julia Ive

Lucia Specia

2022/7

Unsupervised numerical reasoning to extract phenotypes from clinical text by leveraging external knowledge

Ashwani Tanwar

Jingqing Zhang

Julia Ive

Vibhor Gupta

Yike Guo

2022/11/29

Findings of the Third Workshop on Automatic Simultaneous Translation

Ruiqing Zhang

Chuanqiang Zhang

Zhongjun He

Hua Wu

Haifeng Wang

...

2022/7

Phenotyping in clinical text with unsupervised numerical reasoning for patient stratification

Experimental Biology and Medicine

Ashwani Tanwar

Jingqing Zhang

Julia Ive

Vibhor Gupta

Yike Guo

2022/11

Modeling Disagreement in Automatic Data Labelling for Semi-Supervised Learning in Clinical Natural Language Processing

arXiv preprint arXiv:2205.14761

Hongshu Liu

Nabeel Seedat

Julia Ive

2022/5/29

Medical Scientific Table-to-Text Generation with Synthetic Data under Data Sparsity Constraint

Heng-Yi Wu

Jingqing Zhang

Julia Ive

Tong Li

Vibhor Gupta

...

2022/10/20

Linguistic uncertainty in clinical nlp: A taxonomy, dataset and approach

Mark Turner

Julia Ive

Sumithra Velupillai

2021

Self-supervised detection of contextual synonyms in a multi-class setting: Phenotype annotation use case

Jingqing Zhang

Luis Bolanos

Tong Li

Ashwani Tanwar

Guilherme Freire

...

2021/11

See List of Professors in Julia Ive University(Imperial College London)

Co-Authors

H-index: 104
Robert Stewart

Robert Stewart

King's College

H-index: 28
Sumithra Velupillai

Sumithra Velupillai

King's College

H-index: 16
Frédéric Blain

Frédéric Blain

University of Wolverhampton

H-index: 15
Pranava Madhyastha

Pranava Madhyastha

Imperial College London

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