Xiuzhen Zhang

Orcid: 0000-0001-5558-3790

Affiliations:
  • RMIT University, Melbourne, VIC, Australia


According to our database1, Xiuzhen Zhang authored at least 166 papers between 1996 and 2024.

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Bibliography

2024
Trustworthy Recommender Systems.
ACM Trans. Intell. Syst. Technol., August, 2024

LMOD: A Large Multimodal Ophthalmology Dataset and Benchmark for Large Vision-Language Models.
CoRR, 2024

Prompted Aspect Key Point Analysis for Quantitative Review Summarization.
CoRR, 2024

Causal Learning for Trustworthy Recommender Systems: A Survey.
CoRR, 2024

A survey on personalized itinerary recommendation: From optimisation to deep learning.
Appl. Soft Comput., 2024

ZXQ at SemEval-2024 Task 7: Fine-tuning GPT-3.5-Turbo for Numerical Reasoning.
Proceedings of the 18th International Workshop on Semantic Evaluation, 2024

GAVx at SemEval-2024 Task 10: Emotion Flip Reasoning via Stacked Instruction Finetuning of LLMs.
Proceedings of the 18th International Workshop on Semantic Evaluation, 2024

A Hierarchical and Disentangling Interest Learning Framework for Unbiased and True News Recommendation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Reference-free review-based product question answering evaluation via distant contrastive learning.
Proceedings of the International Joint Conference on Neural Networks, 2024

FairGT: A Fairness-aware Graph Transformer.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

CMA-R: Causal Mediation Analysis for Explaining Rumour Detection.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Aspect-based Key Point Analysis for Quantitative Summarization of Reviews.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Bias in Opinion Summarisation from Pre-training to Adaptation: A Case Study in Political Bias.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

UPDATE: Mining User-News Engagement Patterns for Dual-Target Cross-Domain Fake News Detection.
Proceedings of the 11th IEEE International Conference on Data Science and Advanced Analytics, 2024

Large Language Model Cascades and Persona-Based In-Context Learning for Multilingual Sexism Detection.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2024

IgnitionInnovators at "Discharge Me!": Chain-of-Thought Instruction Finetuning Large Language Models for Discharge Summaries.
Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, 2024

Prompted Aspect Key Point Analysis for Quantitative Review Summarization.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Harnessing Network Effect for Fake News Mitigation: Selecting Debunkers via Self-Imitation Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Modeling User Demand Evolution for Next-Basket Prediction.
IEEE Trans. Knowl. Data Eng., November, 2023

Capacity-aware fair POI recommendation combining transformer neural networks and resource allocation policy.
Appl. Soft Comput., November, 2023

Large-scale analysis of query logs to profile users for dataset search.
J. Documentation, 2023

The Secondary Use of Electronic Health Records for Data Mining: Data Characteristics and Challenges.
ACM Comput. Surv., 2023

Explainable History Distillation by Marked Temporal Point Process.
CoRR, 2023

Utilising a Large Language Model to Annotate Subject Metadata: A Case Study in an Australian National Research Data Catalogue.
CoRR, 2023

Intensity-free Integral-based Learning of Marked Temporal Point Processes.
CoRR, 2023

MetaTroll: Few-shot Detection of State-Sponsored Trolls with Transformer Adapters.
Proceedings of the ACM Web Conference 2023, 2023

Examining Bias in Opinion Summarisation through the Perspective of Opinion Diversity.
Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, 2023

Efficient Text-based Propaganda Detection via Language Model Cascades.
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2023) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2023), 2023

IberLEF 2023 AuTexTification: Automated Text Identification Shared Task - Team OD-21.
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2023) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2023), 2023

Task and Sentiment Adaptation for Appraisal Tagging.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Efficient Multilingual Sexism Detection via Large Language Model Cascades.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

2022
Efficient itinerary recommendation via personalized POI selection and pruning.
Knowl. Inf. Syst., 2022

Big social data as a service (BSDaaS): a service composition framework for social media analysis.
J. Big Data, 2022

Evolution of user navigation behavior for online news.
Int. J. Web Inf. Syst., 2022

Correction to: Online information disorder: fake news, bots and trolls.
Int. J. Data Sci. Anal., 2022

Online information disorder: fake news, bots and trolls.
Int. J. Data Sci. Anal., 2022

POI recommendation with queuing time and user interest awareness.
Data Min. Knowl. Discov., 2022

Trustworthy Recommender Systems.
CoRR, 2022

Veracity-aware and Event-driven Personalized News Recommendation for Fake News Mitigation.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Identifying Cost-effective Debunkers for Multi-stage Fake News Mitigation Campaigns.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

DUCK: Rumour Detection on Social Media by Modelling User and Comment Propagation Networks.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Data Science and Artificial Intelligence for Responsible Recommendations.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Mitigation of Rumours in Social Networks via Epidemic Model-based Reinforcement Learning.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

2021
Detecting singleton spams in reviews via learning deep anomalous temporal aspect-sentiment patterns.
Data Min. Knowl. Discov., 2021

Does QA-based intermediate training help fine-tuning language models for text classification?
CoRR, 2021

Rumour Detection via Zero-Shot Cross-Lingual Transfer Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Transformer-Based Multi-task Learning for Queuing Time Aware Next POI Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Early Rumour Detection with Temporal Bidirectional Graph Convolutional Networks.
Proceedings of the 25th Pacific Asia Conference on Information Systems, 2021

2020
Generating multidimensional schemata from relational aggregation queries.
World Wide Web, 2020

Beyond mean rating: Probabilistic aggregation of star ratings based on helpfulness.
J. Assoc. Inf. Sci. Technol., 2020

Privacy concerns of the Australian My Health Record: Implications for other large-scale opt-out personal health records.
Inf. Process. Manag., 2020

FakeFinder: Twitter Fake News Detection on Mobile.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Evaluation of Cross Domain Text Summarization.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Less Is More: Rejecting Unreliable Reviews for Product Question Answering.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Can helpful reviews help answer product questions?
Proceedings of the 24th Pacific Asia Conference on Information Systems, 2020

MSReNet: Multi-step Reformulation for Open-Domain Question Answering.
Proceedings of the Natural Language Processing and Chinese Computing, 2020

Early Detection of Rumours on Twitter via Stance Transfer Learning.
Proceedings of the Advances in Information Retrieval, 2020

Modelling User Influence and Rumor Propagation on Twitter using Hawkes Processes.
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

RMIT at PAN-CLEF 2020: Profiling Fake News Spreaders on Twitter.
Proceedings of the Working Notes of CLEF 2020, 2020

#DemocratsAreDestroyingAmerica: Rumour Analysis on Twitter During COVID-19.
Proceedings of the CIKM 2020 Workshops co-located with 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), 2020

2019
Location impact on source and linguistic features for information credibility of social media.
Online Inf. Rev., 2019

Search Effectiveness in Nonredundant Sequence Databases: Assessments and Solutions.
J. Comput. Biol., 2019

Irony detection via sentiment-based transfer learning.
Inf. Process. Manag., 2019

Social Big Data: Mining, Applications, and Beyond.
Complex., 2019

Discovering Relevant Reviews for Answering Product-Related Queries.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Learning Effective Representations from Sparse Mutlimodal Data on Content Curation Social Networks.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Red-faced ROUGE: Examining the Suitability of ROUGE for Opinion Summary Evaluation.
Proceedings of the The 17th Annual Workshop of the Australasian Language Technology Association, 2019

2018
Mining Event-Oriented Topics in Microblog Stream with Unsupervised Multi-View Hierarchical Embedding.
ACM Trans. Knowl. Discov. Data, 2018

Multi-perspective User2Vec: Exploiting re-pin activity for user representation learning in content curation social network.
Signal Process., 2018

Comparative Analysis of Sequence Clustering Methods for Deduplication of Biological Databases.
ACM J. Data Inf. Qual., 2018

A Locally Adaptive Multi-Label k-Nearest Neighbor Algorithm.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Learning to Rank Items of Minimal Reviews Using Weak Supervision.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Identifying Singleton Spammers via Spammer Group Detection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Meta-Information as a Service: A Big Social Data Analysis Framework.
Proceedings of the 22nd Pacific Asia Conference on Information Systems, 2018

Big Social Data as a Service: A Service Composition Framework for Social Information Service Analysis.
Proceedings of the Web Services - ICWS 2018, 2018

Social Information Services: A Service Oriented Analysis of Social Media.
Proceedings of the Web Services - ICWS 2018, 2018

Extracting Label Importance Information for Multi-label Classification.
Proceedings of the Database Systems for Advanced Applications, 2018

Behavioral Analysis of Users for Spammer Detection in a Multiplex Social Network.
Proceedings of the Data Mining - 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, 2018

Social-Textual Query Processing on Graph Database Systems.
Proceedings of the Databases Theory and Applications, 2018

Neural Sparse Topical Coding.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
A probabilistic method for emerging topic tracking in Microblog stream.
World Wide Web, 2017

Distributed Mining of Contrast Patterns.
IEEE Trans. Parallel Distributed Syst., 2017

KRNN: k Rare-class Nearest Neighbour classification.
Pattern Recognit., 2017

MLLDA: Multi-level LDA for modelling users on content curation social networks.
Neurocomputing, 2017

CDS: Collaborative distant supervision for Twitter account classification.
Expert Syst. Appl., 2017

On the credibility perception of news on Twitter: Readers, topics and features.
Comput. Hum. Behav., 2017

Beyond the Culture Effect on Credibility Perception on Microblogs.
Proceedings of the Social Informatics, 2017

Sequence Clustering Methods and Completeness of Biological Database Search.
Proceedings of the Workshop on Advances in Bioinformatics and Artificial Intelligence: Bridging the Gap co-located with 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), 2017

Reducing noisy labels in weakly labeled data for visual sentiment analysis.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Change Detection from Media Sharing Community.
Proceedings of the Web and Big Data - First International Joint Conference, 2017

Language-Independent Twitter Classification Using Character-Based Convolutional Networks.
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

A Word-Character Convolutional Neural Network for Language-Agnostic Twitter Sentiment Analysis.
Proceedings of the 22nd Australasian Document Computing Symposium, 2017

Detection of Money Laundering Groups: Supervised Learning on Small Networks.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Detection of money laundering groups using supervised learning in networks.
CoRR, 2016

Quit While Ahead: Evaluating Truncated Rankings.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Power usage spike detection using smart meter data for load profiling.
Proceedings of the 25th IEEE International Symposium on Industrial Electronics, 2016

Recommending Followees Based on Content Weighted User Interest Homophily.
Proceedings of the International Conference on Internet Multimedia Computing and Service, 2016

Correlation Analysis of Reader's Demographics and Tweet Credibility Perception.
Proceedings of the Advances in Information Retrieval, 2016

A Time and Opinion Quality-Weighted Model for Aggregating Online Reviews.
Proceedings of the Databases Theory and Applications, 2016

Topical Event Detection on Twitter.
Proceedings of the Databases Theory and Applications, 2016

Automatic Labelling of Topics via Analysis of User Summaries.
Proceedings of the Databases Theory and Applications, 2016

2015
ReputationPro: The Efficient Approaches to Contextual Transaction Trust Computation in E-Commerce Environments.
ACM Trans. Web, 2015

Detection of opinion spam based on anomalous rating deviation.
Expert Syst. Appl., 2015

Microblogging Queries on Graph Databases: An Introspection.
Proceedings of the Third International Workshop on Graph Data Management Experiences and Systems, 2015

Anytime Concurrent Clustering of Multiple Streams with an Indexing Tree.
Proceedings of the 4th International Workshop on Big Data, 2015

A math-hyper-heuristic approach for large-scale vehicle routing problems with time windows.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
CommTrust: Computing Multi-Dimensional Trust by Mining E-Commerce Feedback Comments.
IEEE Trans. Knowl. Data Eng., 2014

Anomaly detection in online social networks.
Soc. Networks, 2014

Twitter analytics: a big data management perspective.
SIGKDD Explor., 2014

The approaches to contextual transaction trust computation in e-Commerce environments.
Secur. Commun. Networks, 2014

Semantic aware sport image resizing jointly using seam carving and warping.
Multim. Tools Appl., 2014

Ant Colony Clustering Approach Combined with Multilevel Framework for Functional Module Detection in Large-Scale PPI Networks.
Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, August 11-14, 2014, 2014

Recommendation on Flickr by combining community user ratings and item importance.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2014

User Perception of Information Credibility of News on Twitter.
Proceedings of the Advances in Information Retrieval, 2014

Ant colony clustering based on sampling for community detection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Analysing User Access To An Online Newspaper.
Proceedings of the 2014 Australasian Document Computing Symposium, 2014

Tweet Author Location Impacts on Tweet Credibility.
Proceedings of the 2014 Australasian Document Computing Symposium, 2014

Sentiment Analysis on Twitter through Topic-Based Lexicon Expansion.
Proceedings of the Databases Theory and Applications, 2014

2013
A Positive-biased Nearest Neighbour Algorithm for Imbalanced Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

A Connectionist Model-Based Approach to Centrality Discovery in Social Networks.
Proceedings of the Behavior and Social Computing, 2013

Complete Pose Binary SIFT for Face Recognition with Pose Variation.
Proceedings of the Biometric Recognition - 8th Chinese Conference, 2013

Mining E-Commerce Feedback Comments for Dimension Rating Profiles.
Proceedings of the Advanced Data Mining and Applications, 9th International Conference, 2013

Overview and Analysis of Contrast Pattern Based Classification.
Proceedings of the Contrast Data Mining: Concepts, Algorithms, and Applications, 2013

2012
Sentiment Analysis by Augmenting Expectation Maximisation with Lexical Knowledge.
Proceedings of the Web Information Systems Engineering - WISE 2012, 2012

Efficient Contextual Transaction Trust Computation in E-commerce Environments.
Proceedings of the 11th IEEE International Conference on Trust, 2012

A trust vector approach to transaction context-aware trust evaluation in e-commerce and e-service environments.
Proceedings of the 2012 Fifth IEEE International Conference on Service-Oriented Computing and Applications (SOCA), 2012

A Face Authentication Scheme Based on Affine-SIFT (ASIFT) and Structural Similarity (SSIM).
Proceedings of the Biometric Recognition - 7th Chinese Conference, 2012

Sentiment classification of blog posts using topical extracts.
Proceedings of the Twenty-Third Australasian Database Conference, 2012

2011
Holistic Approaches to Identifying the Sentiment of Blogs Using Opinion Words.
Proceedings of the Web Information System Engineering - WISE 2011, 2011

Improving <i>k</i> Nearest Neighbor with Exemplar Generalization for Imbalanced Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Transaction Similarity-Based Contextual Trust Evaluation in E-Commerce and E-Service Environments.
Proceedings of the IEEE International Conference on Web Services, 2011

Enforcing strictness in integration of dimensions: beyond instance matching.
Proceedings of the DOLAP 2011, 2011

An Empirical Study of Learning from Imbalanced Data.
Proceedings of the Twenty-Second Australasian Database Conference, 2011

2010
RMIT at TREC 2010 Blog Track: Faceted Blog Distillation Task.
Proceedings of The Nineteenth Text REtrieval Conference, 2010

The Melbourne Team at the TREC 2010 Legal Track.
Proceedings of The Nineteenth Text REtrieval Conference, 2010

A semantic aware image retargeting scheme combining seam carving and non-homogeneous warping.
Proceedings of the Second International Conference on Internet Multimedia Computing and Service, 2010

Inferring Aggregation Hierarchies for Integration of Data Marts.
Proceedings of the Database and Expert Systems Applications, 21th International Conference, 2010

2009
Large-scale prediction of long disordered regions in proteins using random forests.
BMC Bioinform., 2009

Predicting disordered regions in proteins using the profiles of amino acid indices.
BMC Bioinform., 2009

2008
The Efficient Maintenance of Access Roles with Role Hiding.
Proceedings of the 14th International Conference on Management of Data, 2008

Drill Across and Visualization of Cubes with Non-conformed Dimensions.
Proceedings of the Database Technologies 2008. Proceedings of the Nineteenth Australasian Database Conference, 2008

2007
Comments on "Data Mining Static Code Attributes to Learn Defect Predictors".
IEEE Trans. Software Eng., 2007

Efficient Computation of Iceberg Cubes by Bounding Aggregate Functions.
IEEE Trans. Knowl. Data Eng., 2007

Predicting Defective Software Components from Code Complexity Measures.
Proceedings of the 13th IEEE Pacific Rim International Symposium on Dependable Computing (PRDC 2007), 2007

Reducing Overfitting in Predicting Intrinsically Unstructured Proteins.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

Building a Disordered Protein Database: A Case Study in Managing Biological Data.
Proceedings of the Database Technologies 2007. Proceedings of the Eighteenth Australasian Database Conference, 2007

2006
Predicting Disordered Regions in Proteins Based on Decision Trees of Reduced Amino Acid Composition.
J. Comput. Biol., 2006

Multiway Pruning for Efficient Iceberg Cubing.
Proceedings of the Database and Expert Systems Applications, 17th International Conference, 2006

Computing Iceberg Quotient Cubes with Bounding.
Proceedings of the Data Warehousing and Knowledge Discovery, 8th International Conference, 2006

2005
Multiway Iceberg Cubing on Trees.
Proceedings of the Web Information Systems Engineering, 2005

2004
Generating Multidimensional Schemata from Relational Aggregation Queries.
Proceedings of the Web Information Systems, 2004

Computing Complex Iceberg Cubes by Multiway Aggregation and Bounding.
Proceedings of the Data Warehousing and Knowledge Discovery, 6th International Conference, 2004

Efficient Frequent Pattern Mining on Web Logs.
Proceedings of the Advanced Web Technologies and Applications, 2004

2003
Efficiently Computing Iceberg Cubes with Complex Constraints through Bounding.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2003

Noise Tolerance of EP-Based Classifiers.
Proceedings of the AI 2003: Advances in Artificial Intelligence, 2003

Efficiently Computing the Top N Averages in Iceberg Cubes.
Proceedings of the Computer Science 2003, 2003

2001
Building Behaviour Knowledge Space to Make Classification Decision.
Proceedings of the Knowledge Discovery and Data Mining, 2001

2000
Translating update operations from relational to object-oriented databases.
Inf. Softw. Technol., 2000

Exploring constraints to efficiently mine emerging patterns from large high-dimensional datasets.
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

Information-Based Classification by Aggregating Emerging Patterns.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2000

1999
Transforming RDB schema into well-structured OODB schema.
Inf. Softw. Technol., 1999

Efficient Mining of High Confidience Association Rules without Support Thresholds.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 1999

CAEP: Classification by Aggregating Emerging Patterns.
Proceedings of the Discovery Science, 1999

1996
A Distributed Object Database's Basic Design Issues.
Proceedings of the Multimedia, 1996


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