Jeremiah D. Deng

Jeremiah D. Deng

University of Otago

H-index: 24

Oceania-New Zealand

About Jeremiah D. Deng

Jeremiah D. Deng, With an exceptional h-index of 24 and a recent h-index of 17 (since 2020), a distinguished researcher at University of Otago, specializes in the field of anomaly detection, performance modeling, transfer learning, novelty detection, hebbian learning.

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

Collaborative Learning With Heterogeneous Local Models: A Rule-Based Knowledge Fusion Approach

Chronic pain detection from resting-state raw EEG signals using improved feature selection

Variational Autoencoder Learns Better Feature Representations for EEG-based Obesity Classification

Kids’ Digital Distractions: An observation study of recorded everyday screentime by 12-year-olds

Enhancing Hate Speech Detection in Sinhala Language on Social Media using Machine Learning

Rule-based collaborative learning with heterogeneous local learning models

Capturing brain‐cognition relationship: Integrating task‐based fMRI across tasks markedly boosts prediction and test‐retest reliability

Deep adversarial transition learning using cross-grafted generative stacks

Jeremiah D. Deng Information

University

Position

___

Citations(all)

2907

Citations(since 2020)

1507

Cited By

1955

hIndex(all)

24

hIndex(since 2020)

17

i10Index(all)

49

i10Index(since 2020)

25

Email

University Profile Page

University of Otago

Google Scholar

View Google Scholar Profile

Jeremiah D. Deng Skills & Research Interests

anomaly detection

performance modeling

transfer learning

novelty detection

hebbian learning

Top articles of Jeremiah D. Deng

Title

Journal

Author(s)

Publication Date

Collaborative Learning With Heterogeneous Local Models: A Rule-Based Knowledge Fusion Approach

IEEE Transactions on Knowledge and Data Engineering

Ying Pang

Haibo Zhang

Jeremiah D Deng

Lizhi Peng

Fei Teng

2023/12/12

Chronic pain detection from resting-state raw EEG signals using improved feature selection

arXiv preprint arXiv:2306.15194

Jean Li

Dirk De Ridder

Divya Adhia

Matthew Hall

Jeremiah D Deng

2023/6/27

Variational Autoencoder Learns Better Feature Representations for EEG-based Obesity Classification

arXiv preprint arXiv:2302.00789

Yuan Yue

Jeremiah D Deng

Dirk De Ridder

Patrick Manning

Divya Adhia

2023/2/1

Kids’ Digital Distractions: An observation study of recorded everyday screentime by 12-year-olds

Sander Paul Zwanenburg

Kodie Vincent

Jeremiah Deng

Marcus Gurtner

Ryan Gage

...

2023

Enhancing Hate Speech Detection in Sinhala Language on Social Media using Machine Learning

Eranga N Fernando

Jeremiah D Deng

2023

Rule-based collaborative learning with heterogeneous local learning models

Ying Pang

Haibo Zhang

Jeremiah D Deng

Lizhi Peng

Fei Teng

2022

Capturing brain‐cognition relationship: Integrating task‐based fMRI across tasks markedly boosts prediction and test‐retest reliability

NeuroImage

Alina Tetereva

Jean Li

Jeremiah D Deng

Argyris Stringaris

Narun Pat

2022/11/1

Deep adversarial transition learning using cross-grafted generative stacks

arXiv preprint arXiv:2009.12028

Jinyong Hou

Xuejie Ding

Stephen Cranefield

Jeremiah D Deng

2020/9/25

Sizing up the Batteries: Modelling of Energy-Harvesting Sensor Nodes in a Delay Tolerant Network

arXiv preprint arXiv:2210.05316

Jeremiah D Deng

2022/10/11

Semi-supervised semantic segmentation of vessel images using leaking perturbations

Jinyong Hou

Xuejie Ding

Jeremiah D Deng

2022

Objective assessment of the nature and extent of children’s internet-based world: protocol for the kids online Aotearoa study

JMIR Research Protocols

Marcus Gurtner

Moira Smith

Ryan Gage

Anna Howey-Brown

Xinyi Wang

...

2022/10/11

Finding neural signatures for obesity through feature selection on source-localized EEG

arXiv preprint arXiv:2208.14007

Yuan Yue

Dirk De Ridder

Patrick Manning

Samantha Ross

Jeremiah D Deng

2022/8/30

Variational Transfer Learning using Cross-Domain Latent Modulation

arXiv preprint arXiv:2205.15523

Jinyong Hou

Jeremiah D Deng

Stephen Cranefield

Xuejie Din

2022/5/31

Multimodal particle swarm optimization for feature selection

Applied Soft Computing

Xiao-Min Hu

Shou-Rong Zhang

Min Li

Jeremiah D Deng

2021/12/1

Resting-state EEG sex classification using selected brain connectivity representation

Advances in Artificial Intelligence, Computation, and Data Science: For Medicine and Life Science

Jean Li

Jeremiah D Deng

Divya Adhia

Dirk De Ridder

2021

Cross-domain latent modulation for variational transfer learning

Jinyong Hou

Jeremiah D Deng

Stephen Cranefield

Xuejie Ding

2020/12/21

Helmet use detection of tracked motorcycles using cnn-based multi-task learning

IEEE Access

Hanhe Lin

Jeremiah D Deng

Deike Albers

Felix Wilhelm Siebert

2020/9/2

A classifier-assisted level-based learning swarm optimizer for expensive optimization

IEEE Transactions on Evolutionary Computation

Feng-Feng Wei

Wei-Neng Chen

Qiang Yang

Jeremiah Deng

Xiao-Nan Luo

...

2020/8/19

Gender classification of EEG signals using a motif attribute classification ensemble

Jean Li

Jeremiah D Deng

Dirk De Ridder

Divya Adhia

2020/7/19

Design and management solutions to emergent networking technologies

International Journal of Parallel, Emergent and Distributed Systems

Haibo Zhang

Jeremiah D Deng

2020/5/22

See List of Professors in Jeremiah D. Deng University(University of Otago)

Co-Authors

H-index: 124
Luca Benini

Luca Benini

Università degli Studi di Bologna

H-index: 57
Zhi-Hui Zhan(詹志辉)

Zhi-Hui Zhan(詹志辉)

South China University of Technology

H-index: 54
Davide Brunelli

Davide Brunelli

Università degli Studi di Trento

H-index: 45
Wei-neng Chen(陈伟能)

Wei-neng Chen(陈伟能)

South China University of Technology

H-index: 31
Stephen Cranefield

Stephen Cranefield

University of Otago

H-index: 29
Martin Purvis

Martin Purvis

University of Otago

academic-engine