Josiah Poon

Orcid: 0000-0003-3371-8628

Affiliations:
  • University of Sydney, Australia


According to our database1, Josiah Poon authored at least 104 papers between 1997 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Local Interpretations for Explainable Natural Language Processing: A Survey.
ACM Comput. Surv., September, 2024

MM-EMOG: Multi-Label Emotion Graph Representation for Mental Health Classification on Social Media.
Robotics, March, 2024

TriG-NER: Triplet-Grid Framework for Discontinuous Named Entity Recognition.
CoRR, 2024

GEM-VPC: A dual Graph-Enhanced Multimodal integration for Video Paragraph Captioning.
CoRR, 2024

Game-MUG: Multimodal Oriented Game Situation Understanding and Commentary Generation Dataset.
CoRR, 2024

M3-VRD: Multimodal Multi-task Multi-teacher Visually-Rich Form Document Understanding.
CoRR, 2024

Multimodal Large Language Models and Tunings: Vision, Language, Sensors, Audio, and Beyond.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Do Text-to-Vis Benchmarks Test Real Use of Visualisations?
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

SCO-VIST: Social Interaction Commonsense Knowledge-based Visual Storytelling.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

3M-Health: Multimodal Multi-Teacher Knowledge Distillation for Mental Health Detection.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

3MVRD: Multimodal Multi-task Multi-teacher Visually-Rich Form Document Understanding.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
SceneGATE: Scene-Graph Based Co-Attention Networks for Text Visual Question Answering.
Robotics, June, 2023

DDI-MuG: Multi-aspect graphs for drug-drug interaction extraction.
Frontiers Digit. Health, March, 2023

A Survey of Joint Intent Detection and Slot Filling Models in Natural Language Understanding.
ACM Comput. Surv., 2023

SimCGNN: Simple Contrastive Graph Neural Network for Session-based Recommendation.
CoRR, 2023

StockEmotions: Discover Investor Emotions for Financial Sentiment Analysis and Multivariate Time Series.
CoRR, 2023


Visual Question Generation Under Multi-granularity Cross-Modal Interaction.
Proceedings of the MultiMedia Modeling - 29th International Conference, 2023

Tri-level Joint Natural Language Understanding for Multi-turn Conversational Datasets.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Re-Temp: Relation-Aware Temporal Representation Learning for Temporal Knowledge Graph Completion.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

MC-DRE: Multi-Aspect Cross Integration for Drug Event/Entity Extraction.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Workshop on Document Intelligence Understanding.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
A survey on extraction of causal relations from natural language text.
Knowl. Inf. Syst., 2022

Applications and Enhancement of Document-Based Sentiment Analysis in Deep learning Methods: Systematic Literature Review.
Intell. Syst. Appl., 2022

Spoken Language Understanding for Conversational AI: Recent Advances and Future Direction.
CoRR, 2022

An Analysis of Deep Reinforcement Learning Agents for Text-based Games.
CoRR, 2022

A Quantitative and Qualitative Analysis of Suicide Ideation Detection using Deep Learning.
CoRR, 2022

ME-GCN: Multi-dimensional Edge-Embedded Graph Convolutional Networks for Semi-supervised Text Classification.
CoRR, 2022

Understanding Graph Convolutional Networks for Text Classification.
CoRR, 2022

GraDual: Graph-based Dual-modal Representation for Image-Text Matching.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Distributed Deep Learning for Multi-Label Chest Radiography Classification.
Proceedings of the 17th International Joint Conference on Computer Vision, 2022

RoViST: Learning Robust Metrics for Visual Storytelling.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

InducT-GCN: Inductive Graph Convolutional Networks for Text Classification.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Doc-GCN: Heterogeneous Graph Convolutional Networks for Document Layout Analysis.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Understanding Attention for Vision-and-Language Tasks.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

SG-Shuffle: Multi-aspect Shuffle Transformer for Scene Graph Generation.
Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022

2021
Utilizing Text Mining, Data Linkage and Deep Learning in Police and Health Records to Predict Future Offenses in Family and Domestic Violence.
Frontiers Digit. Health, 2021

A survey of joint intent detection and slot-filling models in natural language understanding.
CoRR, 2021

CovidXrayNet: Optimizing data augmentation and CNN hyperparameters for improved COVID-19 detection from CXR.
Comput. Biol. Medicine, 2021

A novel method for clinical risk prediction with low-quality data.
Artif. Intell. Medicine, 2021

FedNLP: An Interpretable NLP System to Decode Federal Reserve Communications.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Bi-Directional Joint Neural Networks for Intent Classification and Slot Filling.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Labeling Chest X-Ray Reports Using Deep Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Warfarin Dose Estimation on High-dimensional and Incomplete Data.
Proceedings of the 54th Hawaii International Conference on System Sciences, 2021

GLocal-K: Global and Local Kernels for Recommender Systems.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

CONDA: a CONtextual Dual-Annotated dataset for in-game toxicity understanding and detection.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
VICTR: Visual Information Captured Text Representation for Text-to-Image Multimodal Tasks.
CoRR, 2020

Deep learning in generating radiology reports: A survey.
Artif. Intell. Medicine, 2020

REXUP: I REason, I EXtract, I UPdate with Structured Compositional Reasoning for Visual Question Answering.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Detect All Abuse! Toward Universal Abusive Language Detection Models.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

VICTR: Visual Information Captured Text Representation for Text-to-Vision Multimodal Tasks.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
AMI-Net+: A Novel Multi-Instance Neural Network for Medical Diagnosis from Incomplete and Imbalanced Data.
Aust. J. Intell. Inf. Process. Syst., 2019

Attention-based Multi-instance Neural Network for Medical Diagnosis from Incomplete and Low Quality Data.
Proceedings of the International Joint Conference on Neural Networks, 2019

Convolutional Neural Network to Detect Thorax Diseases from Multi-view Chest X-Rays.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Low Resource Named Entity Recognition Using Contextual Word Representation and Neural Cross-Lingual Knowledge Transfer.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

TCM Translator: A Sequence Generation Approach for Prescribing Herbal Medicines.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Neighbourhood Blocking for Record Linkage.
Proceedings of the Databases Theory and Applications, 2019

2018
CNN based Multi-Instance Multi-Task Learning for Syndrome Differentiation of Diabetic Patients.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Better Rulesets by Removing Redundant Specialisations and Generalisations in Association Rule Mining.
Australas. J. Inf. Syst., 2017

2016
An Ensemble Approach for Record Matching in Data Linkage.
Proceedings of the Digital Health Innovation for Consumers, Clinicians, Connectivity and Community, 2016

Relation extraction from Traditional Chinese Medicine journal publication.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
Ensemble learning for prediction of the bioactivity capacity of herbal medicines from chromatographic fingerprints.
BMC Bioinform., December, 2015

2014
An improved independent component analysis model for 3D chromatogram separation and its solution by multi-areas genetic algorithm.
BMC Bioinform., 2014

A Decomposition Model for HPLC-DAD Data Set and Its Solution by Particle Swarm Optimization.
Appl. Comput. Intell. Soft Comput., 2014

Separation model of Generalized Reference Curve Measurement for HPLC-DAD and it solution by multi-target Bare Bones Particle Swarm Optimization.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

Evaluation of herbal medicine's bioactivity capacity prediction algorithms.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

2013
Application of Genetic Algorithm for Discovery of Core Effective Formulae in TCM Clinical Data.
Comput. Math. Methods Medicine, 2013

Patterned Interactions In Complex Systems: The Role Of Information Technology For Re-Shaping Organizational Structures.
Proceedings of the 21st European Conference on Information Systems, 2013

Discovering causal patterns in TCM clinical prescription data using set-theoretic approach.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

A study of fitness functions in evolutionary algorithms on symptom-herb relationship discovery.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

Parallel model of independent component analysis constrained by reference curves for HPLC-DAD and its solution by multi-areas genetic algorithm.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

Partially Automated Literature Screening for Systematic Reviews by Modelling Non-Relevant Articles.
Proceedings of the Third Australasian Workshop on Artificial Intelligence in Health (AIH 2013) and the Fourth International Workshop on Collaborative Agents, 2013

2012
Co-evolution of symptom-herb relationship.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Evaluation of herbal Chromatographie fingerprint identification systems.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2012

2011
A novel approach in discovering significant interactions from TCM patient prescription data.
Int. J. Data Min. Bioinform., 2011

Co-evolutionary genetic algorithm in symptom-herb relationship discovery.
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011

Analysis of herbal formulation in TCM: Infertility as a case study.
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011

Enhancing Short Text Clustering with Small External Repositories.
Proceedings of the Ninth Australasian Data Mining Conference, AusDM 2011, Ballarat, 2011

2010
Novel Two-Stage Analytic Approach in Extraction of Strong Herb-Herb Interactions in TCM Clinical Treatment of Insomnia.
Proceedings of the Medical Biometrics, Second International Conference, 2010

Complementary Organizational Mechanisms: A Case Study on Information Technology Business Value.
Proceedings of the 18th European Conference on Information Systems, 2010

Studying herb-herb interaction for insomnia through the theory of complementarities.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010

Analysis of synergistic and antagonistic effects of TCM: Cases on diabetes and insomnia.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010

2009
CODE: A Data Complexity Framework for Imbalanced Datasets.
Proceedings of the New Frontiers in Applied Data Mining, 2009

Reworking Bridging for Use within the Image Domain.
Proceedings of the Computer Analysis of Images and Patterns, 13th International Conference, 2009

Reference Point Transformation for Visualisation.
Proceedings of the Eighth Australasian Data Mining Conference, AusDM 2009, Melbourne, 2009

2008
Semi-Supervised Classification Using Bridging.
Int. J. Artif. Intell. Tools, 2008

Explaining Sustainability in Healthcare - a Preliminary Study of an aged Care Organisation in Australia.
Proceedings of the Pacific Asia Conference on Information Systems, 2008

A New Evaluation Measure for Imbalanced Datasets.
Proceedings of the Data Mining and Analytics 2008, 2008

2007
Learning to classify e-mail.
Inf. Sci., 2007

Enhancing the Performance of Semi-Supervised Classification Algorithms with Bridging.
Proceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, 2007

Guidelines and an Example of Applying ELeRS - A Framework for Scoping E-Learning Research in Healthcare.
Proceedings of the Australasian Conference on Information Systems, 2007

2006
A Data Complexity Analysis on Imbalanced Datasets and an Alternative Imbalance Recovering Strategy.
Proceedings of the 2006 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2006), 2006

Applying Data Mining to Pseudo-Relevance Feedback for High Performance Text Retrieval.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2004
Co-training with a Single Natural Feature Set Applied to Email Classification.
Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2004), 2004

Application of Machine Learning Techniques to the Re-ranking of Search Results.
Proceedings of the KI 2004: Advances in Artificial Intelligence, 2004

Co-Training on Textual Documents with a Single Natural Feature Set.
Proceedings of the ADCS 2004, 2004

2003
INTIMATE: A Web-Based Movie Recommender Using Text Categorization.
Proceedings of the 2003 IEEE / WIC International Conference on Web Intelligence, 2003

A Neural Network Based Approach to Automated E-Mail Classification.
Proceedings of the 2003 IEEE / WIC International Conference on Web Intelligence, 2003

2002
Workflow Based Just-in-time Training.
Proceedings of the ADCS 2002, 2002

2001
Browsing the Web from a Speech-Based Interface.
Proceedings of the Human-Computer Interaction INTERACT '01: IFIP TC13 International Conference on Human-Computer Interaction, 2001

2000
Initial Results with Coevolving Dominance Mapping.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000

Java meets teletubbies: an interaction between program codes and physical props.
Proceedings of the ACM SIGCSE 4th Australasian Conference on Computer Science Education, 2000

Teaching programming to beginners - choosing the language is just the first step.
Proceedings of the ACM SIGCSE 4th Australasian Conference on Computer Science Education, 2000

1997
Co-evolution and emergence in design.
Artif. Intell. Eng., 1997


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