A Distributed Object Database's Basic Design Issues. - Xiuzhen Zhang 001; Joseph Fong (International Hong Kong Computer Society Database Workshop, 1996)

CAEP: Classification by Aggregating Emerging Patterns. - Guozhu Dong; Xiuzhen Zhang 001; Limsoon Wong; Jinyan Li 001 (Discovery Science, 1999)

Efficient Mining of High Confidience Association Rules without Support Thresholds. - Jinyan Li 001; Xiuzhen Zhang 001; Guozhu Dong; Kotagiri Ramamohanarao; Qun Sun (PKDD, 1999)

Transforming RDB schema into well-structured OODB schema. - Xiuzhen Zhang 001; Yanchun Zhang; Joseph Fong; Xiaohua Jia (Inf. Softw. Technol., 1999)

Information-Based Classification by Aggregating Emerging Patterns. - Xiuzhen Zhang 001; Guozhu Dong; Kotagiri Ramamohanarao (IDEAL, 2000)

Exploring constraints to efficiently mine emerging patterns from large high-dimensional datasets. - Xiuzhen Zhang 001; Guozhu Dong; Kotagiri Ramamohanarao (KDD, 2000)

Translating update operations from relational to object-oriented databases. - Xiuzhen Zhang 001; Joseph Fong (Inf. Softw. Technol., 2000)

Building Behaviour Knowledge Space to Make Classification Decision. - Xiuzhen Zhang 001; Guozhu Dong; Kotagiri Ramamohanarao (PAKDD, 2001)

Efficiently Computing the Top N Averages in Iceberg Cubes. - Pauline Lienhua Chou; Xiuzhen Zhang 001 (ACSC, 2003)

Noise Tolerance of EP-Based Classifiers. - Qun Sun; Xiuzhen Zhang 001; Kotagiri Ramamohanarao (Australian Conference on Artificial Intelligence, 2003)

Efficiently Computing Iceberg Cubes with Complex Constraints through Bounding. - Pauline Lienhua Chou; Xiuzhen Zhang 001 (PAKDD, 2003)

Efficient Frequent Pattern Mining on Web Logs. - Liping Sun; Xiuzhen Zhang 001 (APWeb, 2004)

Computing Complex Iceberg Cubes by Multiway Aggregation and Bounding. - Pauline Lienhua Chou; Xiuzhen Zhang 001 (DaWaK, 2004)

Generating Multidimensional Schemata from Relational Aggregation Queries. - Chaoyi Pang; Kerry L. Taylor; Xiuzhen Zhang 001; Mark A. Cameron (WISE, 2004)

Multiway Iceberg Cubing on Trees. - Pauline Lienhua Chou; Xiuzhen Zhang 001 (WISE, 2005)

Computing Iceberg Quotient Cubes with Bounding. - Xiuzhen Zhang 001; Pauline Lienhua Chou; Kotagiri Ramamohanarao (DaWaK, 2006)

Multiway Pruning for Efficient Iceberg Cubing. - Xiuzhen Zhang 001; Pauline Lienhua Chou (DEXA, 2006)

Predicting Disordered Regions in Proteins Based on Decision Trees of Reduced Amino Acid Composition. - Pengfei Han; Xiuzhen Zhang 001; Raymond S. Norton; Zhi-Ping Feng (J. Comput. Biol., 2006)

Building a Disordered Protein Database: A Case Study in Managing Biological Data. - Arran D. Stewart; Xiuzhen Zhang 001 (ADC, 2007)

Reducing Overfitting in Predicting Intrinsically Unstructured Proteins. - Pengfei Han; Xiuzhen Zhang 001; Raymond S. Norton; Zhi-Ping Feng (PAKDD, 2007)

Predicting Defective Software Components from Code Complexity Measures. - Hongyu Zhang 002; Xiuzhen Zhang 001; Ming Gu 001 (PRDC, 2007)

Efficient Computation of Iceberg Cubes by Bounding Aggregate Functions. - Xiuzhen Zhang 001; Pauline Lienhua Chou; Guozhu Dong (IEEE Trans. Knowl. Data Eng., 2007)

Comments on "Data Mining Static Code Attributes to Learn Defect Predictors". - Hongyu Zhang 002; Xiuzhen Zhang 001 (IEEE Trans. Software Eng., 2007)

Drill Across and Visualization of Cubes with Non-conformed Dimensions. - Dariush Riazati; James A. Thom; Xiuzhen Zhang 001 (ADC, 2008)

The Efficient Maintenance of Access Roles with Role Hiding. - Chaoyi Pang; Xiuzhen Zhang 001; Yanchun Zhang; Kotagiri Ramamohanarao (COMAD, 2008)

Predicting disordered regions in proteins using the profiles of amino acid indices. - Pengfei Han; Xiuzhen Zhang 001; Zhi-Ping Feng (BMC Bioinform., 2009)

Large-scale prediction of long disordered regions in proteins using random forests. - Pengfei Han; Xiuzhen Zhang 001; Raymond S. Norton; Zhi-Ping Feng (BMC Bioinform., 2009)

Inferring Aggregation Hierarchies for Integration of Data Marts. - Dariush Riazati; James A. Thom; Xiuzhen Zhang 001 (DEXA (2), 2010)

A semantic aware image retargeting scheme combining seam carving and non-homogeneous warping. - Yu Gong; Lifang Wu; Xiuzhen Zhang 001 (ICIMCS, 2010)

The Melbourne Team at the TREC 2010 Legal Track. - William Webber; Falk Scholer; Mingfang Wu; Xiuzhen Zhang 001; Douglas W. Oard; Phil Farrelly; Sandra Potter; Steven Dick; Phill Bertolus (TREC, 2010)

RMIT at TREC 2010 Blog Track: Faceted Blog Distillation Task. - Zhixin Zhou; Xiuzhen Zhang 001; Phil Vines (TREC, 2010)

An Empirical Study of Learning from Imbalanced Data. - Xiuzhen Zhang 001; Yuxuan Li 001 (ADC, 2011)

Enforcing strictness in integration of dimensions: beyond instance matching. - Dariush Riazati; James A. Thom; Xiuzhen Zhang 001 (DOLAP, 2011)

Transaction Similarity-Based Contextual Trust Evaluation in E-Commerce and E-Service Environments. - Haibin Zhang; Yan Wang 002; Xiuzhen Zhang 001 (ICWS, 2011)

Improving k Nearest Neighbor with Exemplar Generalization for Imbalanced Classification. - Yuxuan Li 001; Xiuzhen Zhang 001 (PAKDD (2), 2011)

Holistic Approaches to Identifying the Sentiment of Blogs Using Opinion Words. - Xiuzhen Zhang 001; Yun Zhou 002 (WISE, 2011)

Sentiment classification of blog posts using topical extracts. - Zhixin Zhou; Xiuzhen Zhang 001; Phil Vines (ADC, 2012)

A Face Authentication Scheme Based on Affine-SIFT (ASIFT) and Structural Similarity (SSIM). - Lifang Wu; Peng Zhou; Shuqin Liu; Xiuzhen Zhang 001; Emanuele Trucco (CCBR, 2012)

A trust vector approach to transaction context-aware trust evaluation in e-commerce and e-service environments. - Haibin Zhang; Yan Wang 002; Xiuzhen Zhang 001 (SOCA, 2012)

Efficient Contextual Transaction Trust Computation in E-commerce Environments. - Haibin Zhang; Yan Wang 002; Xiuzhen Zhang 001 (TrustCom, 2012)

Sentiment Analysis by Augmenting Expectation Maximisation with Lexical Knowledge. - Xiuzhen Zhang 001; Yun Zhou 002; James Bailey 001; Kotagiri Ramamohanarao (WISE, 2012)

Overview and Analysis of Contrast Pattern Based Classification. - Xiuzhen Zhang 001; Guozhu Dong (Contrast Data Mining, 2013)

Mining E-Commerce Feedback Comments for Dimension Rating Profiles. - Lishan Cui; Xiuzhen Zhang 001; Yan Wang 002; Lifang Wu (ADMA (1), 2013)

Complete Pose Binary SIFT for Face Recognition with Pose Variation. - Lifang Wu; Peng Zhou; Yaxi Hou; Hangming Cao; Xiaojing Ma; Xiuzhen Zhang 001 (CCBR, 2013)

A Connectionist Model-Based Approach to Centrality Discovery in Social Networks. - Qingmai Wang; Xinghuo Yu 001; Xiuzhen Zhang 001 (BSI@PAKDD/BSIC@IJCAI, 2013)

A Positive-biased Nearest Neighbour Algorithm for Imbalanced Classification. - Xiuzhen Zhang 001; Yuxuan Li 001 (PAKDD (2), 2013)

Sentiment Analysis on Twitter through Topic-Based Lexicon Expansion. - Zhixin Zhou; Xiuzhen Zhang 001; Mark Sanderson (ADC, 2014)

Tweet Author Location Impacts on Tweet Credibility. - Suliman Aladhadh; Xiuzhen Zhang 001; Mark Sanderson (ADCS, 2014)

Analysing User Access To An Online Newspaper. - Husna Sarirah Husin; James A. Thom; Xiuzhen Zhang 001 (ADCS, 2014)

Ant colony clustering based on sampling for community detection. - Xiangjing Song; Junzhong Ji; Cuicui Yang; Xiuzhen Zhang 001 (IEEE Congress on Evolutionary Computation, 2014)

User Perception of Information Credibility of News on Twitter. - Shafiza Mohd Shariff; Xiuzhen Zhang 001; Mark Sanderson (ECIR, 2014)

Recommendation on Flickr by combining community user ratings and item importance. - Yuchen Jing; Xiuzhen Zhang 001; Lifang Wu; Jinqiao Wang; Zemeng Feng; Dan Wang 004 (ICME, 2014)

Ant Colony Clustering Approach Combined with Multilevel Framework for Functional Module Detection in Large-Scale PPI Networks. - Hongxin Liu; Junzhong Ji; Cuicui Yang; Jia Wei Lv; Xiuzhen Zhang 001 (WI-IAT (3), 2014)

Semantic aware sport image resizing jointly using seam carving and warping. - Lifang Wu; Yu Gong; Xingdi Yuan; Xiuzhen Zhang 001; Lianchao Cao (Multim. Tools Appl., 2014)

The approaches to contextual transaction trust computation in e-Commerce environments. - Haibin Zhang; Yan Wang 002; Xiuzhen Zhang 001 (Secur. Commun. Networks, 2014)

Twitter analytics: a big data management perspective. - Oshini Goonetilleke; Timos K. Sellis; Xiuzhen Zhang 001; Saket Sathe 001 (SIGKDD Explor., 2014)

Anomaly detection in online social networks. - David Savage; Xiuzhen Zhang 001; Xinghuo Yu 001; Pauline Chou; Qingmai Wang (Soc. Networks, 2014)

CommTrust: Computing Multi-Dimensional Trust by Mining E-Commerce Feedback Comments. - Xiuzhen Zhang 001; Lishan Cui; Yan Wang 002 (IEEE Trans. Knowl. Data Eng., 2014)

A math-hyper-heuristic approach for large-scale vehicle routing problems with time windows. - Nasser R. Sabar; Xiuzhen Jenny Zhang; Andy Song (CEC, 2015)

Anytime Concurrent Clustering of Multiple Streams with an Indexing Tree. - Zhinoos Razavi Hesabi; Timos K. Sellis; Xiuzhen Zhang 001 (BigMine, 2015)

Microblogging Queries on Graph Databases: An Introspection. - Oshini Goonetilleke; Saket Sathe 001; Timos K. Sellis; Xiuzhen Zhang 001 (GRADES@SIGMOD/PODS, 2015)

Detection of opinion spam based on anomalous rating deviation. - David Savage; Xiuzhen Zhang 001; Xinghuo Yu 001; Pauline Lienhua Chou; Qingmai Wang (Expert Syst. Appl., 2015)

ReputationPro: The Efficient Approaches to Contextual Transaction Trust Computation in E-Commerce Environments. - Haibin Zhang; Yan Wang 002; Xiuzhen Zhang 001; Ee-Peng Lim (ACM Trans. Web, 2015)

Automatic Labelling of Topics via Analysis of User Summaries. - Lishan Cui; Xiuzhen Zhang 001; Amanda Kimpton; Daryl J. D'Souza (ADC, 2016)

Topical Event Detection on Twitter. - Lishan Cui; Xiuzhen Zhang 001; Xiangmin Zhou; Flora D. Salim (ADC, 2016)

A Time and Opinion Quality-Weighted Model for Aggregating Online Reviews. - Yassien Shaalan; Xiuzhen Zhang 001 (ADC, 2016)

Correlation Analysis of Reader's Demographics and Tweet Credibility Perception. - Shafiza Mohd Shariff; Mark Sanderson; Xiuzhen Zhang 001 (ECIR, 2016)

Recommending Followees Based on Content Weighted User Interest Homophily. - Lifang Wu; Dai Zhang; Xiuzhen Zhang 001; Yuchen Jing; Haiying Liu; Chang Wen Chen (ICIMCS, 2016)

Power usage spike detection using smart meter data for load profiling. - Qingmai Wang; Xinghuo Yu 001; Pauline Lienhua Chou; David Savage; Xiuzhen Zhang 001; Jiangxia Zhong (ISIE, 2016)

Quit While Ahead: Evaluating Truncated Rankings. - Fei Liu 023; Alistair Moffat; Timothy Baldwin; Xiuzhen Zhang 001 (SIGIR, 2016)

Detection of money laundering groups using supervised learning in networks. - David Savage; Qingmai Wang; Pauline Lienhua Chou; Xiuzhen Zhang 001; Xinghuo Yu 001 (CoRR, 2016)

Detection of Money Laundering Groups: Supervised Learning on Small Networks. - David Savage; Qingmai Wang; Xiuzhen Zhang 001; Pauline Chou; Xinghuo Yu 001 (AAAI Workshops, 2017)

A Word-Character Convolutional Neural Network for Language-Agnostic Twitter Sentiment Analysis. - Shiwei Zhang; Xiuzhen Zhang 001; Jeffrey Chan (ADCS, 2017)

Language-Independent Twitter Classification Using Character-Based Convolutional Networks. - Shiwei Zhang; Xiuzhen Zhang 001; Jeffrey Chan (ADMA, 2017)

Change Detection from Media Sharing Community. - Naoki Kito; Xiangmin Zhou; Dong Qin; Yongli Ren; Xiuzhen Zhang 001; James A. Thom (APWeb/WAIM (1), 2017)

Reducing noisy labels in weakly labeled data for visual sentiment analysis. - Lifang Wu; Shuang Liu; Meng Jian; Jiebo Luo 001; Xiuzhen Zhang 001; Mingchao Qi (ICIP, 2017)

Sequence Clustering Methods and Completeness of Biological Database Search. - Qingyu Chen 001; Xiuzhen Zhang 001; Yu Wan 001; Justin Zobel; Karin Verspoor (BAI@IJCAI, 2017)

Beyond the Culture Effect on Credibility Perception on Microblogs. - Suliman Aladhadh; Xiuzhen Zhang 001; Mark Sanderson (SocInfo (2), 2017)

On the credibility perception of news on Twitter: Readers, topics and features. - Shafiza Mohd Shariff; Xiuzhen Zhang 001; Mark Sanderson (Comput. Hum. Behav., 2017)

CDS: Collaborative distant supervision for Twitter account classification. - Lishan Cui; Xiuzhen Zhang 001; A. Kai Qin; Timos Sellis; Lifang Wu (Expert Syst. Appl., 2017)

MLLDA: Multi-level LDA for modelling users on content curation social networks. - Lifang Wu; Dan Wang 004; Xiuzhen Zhang 001; Shuang Liu; Lei Zhang; Chang Wen Chen (Neurocomputing, 2017)

KRNN: k Rare-class Nearest Neighbour classification. - Xiuzhen Zhang 001; Yuxuan Li 001; Kotagiri Ramamohanarao; Lifang Wu; Zahir Tari; Mohamed Cheriet (Pattern Recognit., 2017)

Distributed Mining of Contrast Patterns. - David Savage; Xiuzhen Zhang 001; Pauline Chou; Xinghuo Yu 001; Qingmai Wang (IEEE Trans. Parallel Distributed Syst., 2017)

A probabilistic method for emerging topic tracking in Microblog stream. - Jiajia Huang; Min Peng 002; Hua Wang 002; Jinli Cao; Wang Gao 002; Xiuzhen Zhang 001 (World Wide Web, 2017)

Neural Sparse Topical Coding. - Min Peng 002; Qianqian Xie; Hua Wang 002; Yanchun Zhang; Xiuzhen Zhang 001; Jimin Huang; Gang Tian (ACL (1), 2018)

Social-Textual Query Processing on Graph Database Systems. - Oshini Goonetilleke; Timos Sellis; Xiuzhen Zhang 001 (ADC, 2018)

Behavioral Analysis of Users for Spammer Detection in a Multiplex Social Network. - Tahereh Pourhabibi; Yee Ling Boo; Kok-Leong Ong; Booi Kam 001; Xiuzhen Zhang 001 (AusDM, 2018)

Extracting Label Importance Information for Multi-label Classification. - Dengbao Wang; Li Li 006; Jingyuan Wang; Fei Hu 004; Xiuzhen Zhang 001 (DASFAA (2), 2018)

Social Information Services: A Service Oriented Analysis of Social Media. - Kashif Ali; Margaret Hamilton 001; Charles Thevathayan; Xiuzhen Zhang 001 (ICWS, 2018)

Big Social Data as a Service: A Service Composition Framework for Social Information Service Analysis. - Kashif Ali; Margaret Hamilton 001; Charles Thevathayan; Xiuzhen Zhang 001 (ICWS, 2018)

Meta-Information as a Service: A Big Social Data Analysis Framework. - Kashif Ali; Margaret Hamilton 001; Charles Thevathayan; Xiuzhen Zhang 001 (PACIS, 2018)

Identifying Singleton Spammers via Spammer Group Detection. - Dheeraj Kumar; Yassien Shaalan; Xiuzhen Zhang 001; Jeffrey Chan (PAKDD (1), 2018)

Learning to Rank Items of Minimal Reviews Using Weak Supervision. - Yassien Shaalan; Xiuzhen Zhang 001; Jeffrey Chan (PAKDD (1), 2018)

A Locally Adaptive Multi-Label k-Nearest Neighbor Algorithm. - Dengbao Wang; Jingyuan Wang; Fei Hu 004; Li Li 006; Xiuzhen Zhang 001 (PAKDD (1), 2018)

Comparative Analysis of Sequence Clustering Methods for Deduplication of Biological Databases. - Qingyu Chen 001; Yu Wan 001; Xiuzhen Zhang 001; Yang Lei 003; Justin Zobel; Karin Verspoor (ACM J. Data Inf. Qual., 2018)

Multi-perspective User2Vec: Exploiting re-pin activity for user representation learning in content curation social network. - Haiying Liu; Lifang Wu; Dai Zhang; Meng Jian; Xiuzhen Zhang 001 (Signal Process., 2018)

Mining Event-Oriented Topics in Microblog Stream with Unsupervised Multi-View Hierarchical Embedding. - Min Peng 002; Jiahui Zhu; Hua Wang 002; Xuhui Li 001; Yanchun Zhang; Xiuzhen Zhang 001; Gang Tian (ACM Trans. Knowl. Discov. Data, 2018)

Red-faced ROUGE: Examining the Suitability of ROUGE for Opinion Summary Evaluation. - Wenyi Tay; Aditya Joshi; Xiuzhen Zhang 001; Sarvnaz Karimi; Stephen Wan 001 (ALTA, 2019)

Learning Effective Representations from Sparse Mutlimodal Data on Content Curation Social Networks. - Lifang Wu; Bowen Yang; Meng Jian; Xiuzhen Zhang 001; Heng Zhang; Xu Liu 008 (ICDM Workshops, 2019)

Discovering Relevant Reviews for Answering Product-Related Queries. - Shiwei Zhang; Jey Han Lau; Xiuzhen Zhang 001; Jeffrey Chan; Cécile Paris (ICDM, 2019)

Social Big Data: Mining, Applications, and Beyond. - Xiuzhen Zhang 001; Shuliang Wang 001; Gao Cong; Alfredo Cuzzocrea (Complex., 2019)

Irony detection via sentiment-based transfer learning. - Shiwei Zhang; Xiuzhen Zhang 001; Jeffrey Chan; Paolo Rosso (Inf. Process. Manag., 2019)

Search Effectiveness in Nonredundant Sequence Databases: Assessments and Solutions. - Qingyu Chen 001; Xiuzhen Zhang 001; Yu Wan 001; Justin Zobel; Karin Verspoor (J. Comput. Biol., 2019)

Location impact on source and linguistic features for information credibility of social media. - Suliman Aladhadh; Xiuzhen Zhang 001; Mark Sanderson (Online Inf. Rev., 2019)

#DemocratsAreDestroyingAmerica: Rumour Analysis on Twitter During COVID-19. - Lin Tian; Xiuzhen Zhang 001; Jey Han Lau (CIKM (Workshops), 2020)

RMIT at PAN-CLEF 2020: Profiling Fake News Spreaders on Twitter. - Xinhuan Duan; Elham Naghizade; Damiano Spina; Xiuzhen Zhang 001 (CLEF (Working Notes), 2020)

Modelling User Influence and Rumor Propagation on Twitter using Hawkes Processes. - H. Ruda Nie; Xiuzhen Zhang 001; Minyi Li 001; Anil Dolgun; James Baglin (DSAA, 2020)

Early Detection of Rumours on Twitter via Stance Transfer Learning. - Lin Tian; Xiuzhen Zhang 001; Yan Wang 002; Huan Liu 001 (ECIR (1), 2020)

MSReNet: Multi-step Reformulation for Open-Domain Question Answering. - Weiguang Han; Min Peng 002; Qianqian Xie; Xiuzhen Zhang 001; Hua Wang 002 (NLPCC (2), 2020)

Can helpful reviews help answer product questions? - Tony Danhui Huang; Xiuzhen Zhang 001; Yongli Ren; Min Peng 002 (PACIS, 2020)

Less Is More: Rejecting Unreliable Reviews for Product Question Answering. - Shiwei Zhang; Xiuzhen Zhang 001; Jey Han Lau; Jeffrey Chan; Cécile Paris (ECML/PKDD (3), 2020)

Evaluation of Cross Domain Text Summarization. - Liam Scanlon; Shiwei Zhang; Xiuzhen Zhang 001; Mark Sanderson (SIGIR, 2020)

FakeFinder: Twitter Fake News Detection on Mobile. - Lin Tian; Xiuzhen Zhang 001; Min Peng 002 (WWW (Companion Volume), 2020)

Privacy concerns of the Australian My Health Record: Implications for other large-scale opt-out personal health records. - Patrick Cheong-Iao Pang; Dana McKay; Shanton Chang; Qingyu Chen 001; Xiuzhen Zhang 001; Lishan Cui (Inf. Process. Manag., 2020)

Beyond mean rating: Probabilistic aggregation of star ratings based on helpfulness. - Wenyi Tay; Xiuzhen Zhang 001; Sarvnaz Karimi (J. Assoc. Inf. Sci. Technol., 2020)

Generating multidimensional schemata from relational aggregation queries. - Zheng Huo; Kerry Taylor; Xiuzhen Zhang 001; Suzhen Wang; Chaoyi Pang (World Wide Web, 2020)

Robustness Analysis of Grover for Machine-Generated News Detection. - Rinaldo Gagiano; Maria Myung-Hee Kim; Xiuzhen Zhang 001; Jennifer Biggs (ALTA, 2021)

Evaluation of Review Summaries via Question-Answering. - Nannan Huang; Xiuzhen Zhang 001 (ALTA, 2021)

Does QA-based intermediate training help fine-tuning language models for text classification? - Shiwei Zhang; Xiuzhen Zhang 001 (ALTA, 2021)

Early Rumour Detection with Temporal Bidirectional Graph Convolutional Networks. - H. Ruda Nie; Xiuzhen Zhang 001; Minyi Li 001; James Baglin; Anil Dolgun (PACIS, 2021)

Transformer-Based Multi-task Learning for Queuing Time Aware Next POI Recommendation. - Sajal Halder; Kwan Hui Lim 001; Jeffrey Chan; Xiuzhen Zhang 001 (PAKDD (2), 2021)

Rumour Detection via Zero-Shot Cross-Lingual Transfer Learning. - Lin Tian; Xiuzhen Zhang 001; Jey Han Lau (ECML/PKDD (1), 2021)

Detecting singleton spams in reviews via learning deep anomalous temporal aspect-sentiment patterns. - Yassien Shaalan; Xiuzhen Zhang 001; Jeffrey Chan; Mahsa Salehi (Data Min. Knowl. Discov., 2021)

Mitigation of Rumours in Social Networks via Epidemic Model-based Reinforcement Learning. - H. Ruda Nie; Xiuzhen Zhang 001; Minyi Li 001; Anil Dolgun (DSAA, 2022)

Data Science and Artificial Intelligence for Responsible Recommendations. - Shoujin Wang; Ninghao Liu; Xiuzhen Zhang 001; Yan Wang 002; Francesco Ricci 001; Bamshad Mobasher (KDD, 2022)

DUCK: Rumour Detection on Social Media by Modelling User and Comment Propagation Networks. - Lin Tian; Xiuzhen Zhang 001; Jey Han Lau (NAACL-HLT, 2022)

Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities. - Shoujin Wang; Qi Zhang 020; Liang Hu 004; Xiuzhen Zhang 001; Yan Wang 002; Charu Aggarwal 001 (SIGIR, 2022)

Identifying Cost-effective Debunkers for Multi-stage Fake News Mitigation Campaigns. - Xiaofei Xu; Ke Deng; Xiuzhen Zhang 001 (WSDM, 2022)

Veracity-aware and Event-driven Personalized News Recommendation for Fake News Mitigation. - Shoujin Wang; Xiaofei Xu; Xiuzhen Zhang 001; Yan Wang 002; Wenzhuo Song (WWW, 2022)

Trustworthy Recommender Systems. - Shoujin Wang; Xiuzhen Zhang 001; Yan Wang 002; Huan Liu 001; Francesco Ricci 001 (CoRR, 2022)

POI recommendation with queuing time and user interest awareness. - Sajal Halder; Kwan Hui Lim 001; Jeffrey Chan; Xiuzhen Zhang 001 (Data Min. Knowl. Discov., 2022)

Online information disorder: fake news, bots and trolls. - Anastasia Giachanou; Xiuzhen Zhang 001; Alberto Barrón-Cedeño; Olessia Koltsova; Paolo Rosso (Int. J. Data Sci. Anal., 2022)

Correction to: Online information disorder: fake news, bots and trolls. - Anastasia Giachanou; Xiuzhen Zhang 001; Alberto Barrón-Cedeño; Olessia Koltsova; Paolo Rosso (Int. J. Data Sci. Anal., 2022)

Evolution of user navigation behavior for online news. - Husna Sarirah Husin; James A. Thom; Xiuzhen Zhang 001 (Int. J. Web Inf. Syst., 2022)

Big social data as a service (BSDaaS): a service composition framework for social media analysis. - Kashif Ali; Margaret Hamilton 001; Charles Thevathayan; Xiuzhen Zhang 001 (J. Big Data, 2022)

Efficient itinerary recommendation via personalized POI selection and pruning. - Sajal Halder; Kwan Hui Lim 001; Jeffrey Chan; Xiuzhen Zhang 001 (Knowl. Inf. Syst., 2022)

Efficient Multilingual Sexism Detection via Large Language Model Cascades. - Lin Tian; Nannan Huang; Xiuzhen Zhang 001 (CLEF (Working Notes), 2023)

Task and Sentiment Adaptation for Appraisal Tagging. - Lin Tian; Xiuzhen Zhang 001; Maria Myung-Hee Kim; Jennifer Biggs (EACL, 2023)

IberLEF 2023 AuTexTification: Automated Text Identification Shared Task - Team OD-21. - Rinaldo Gagiano; Haytham Fayek; Maria Myung-Hee Kim; Jennifer Biggs; Xiuzhen Zhang 001 (IberLEF@SEPLN, 2023)

Efficient Text-based Propaganda Detection via Language Model Cascades. - Lin Tian; Xiuzhen Zhang 001; Maria Myung-Hee Kim; Jennifer Biggs (IberLEF@SEPLN, 2023)

Examining Bias in Opinion Summarisation through the Perspective of Opinion Diversity. - Nannan Huang; Lin Tian; Haytham Fayek; Xiuzhen Zhang 001 (WASSA@ACL, 2023)

MetaTroll: Few-shot Detection of State-Sponsored Trolls with Transformer Adapters. - Lin Tian; Xiuzhen Zhang 001; Jey Han Lau (WWW, 2023)

Intensity-free Integral-based Learning of Marked Temporal Point Processes. - Sishun Liu; Ke Deng; Xiuzhen Zhang 001; Yongli Ren (CoRR, 2023)

Utilising a Large Language Model to Annotate Subject Metadata: A Case Study in an Australian National Research Data Catalogue. - Shiwei Zhang; Mingfang Wu; Xiuzhen Zhang 001 (CoRR, 2023)

Explainable History Distillation by Marked Temporal Point Process. - Sishun Liu; Ke Deng; Yan Wang 002; Xiuzhen Zhang 001 (CoRR, 2023)

The Secondary Use of Electronic Health Records for Data Mining: Data Characteristics and Challenges. - Tabinda Sarwar; Sattar Seifollahi; Jeffrey Chan; Xiuzhen Zhang 001; Vural Aksakalli; Irene Lena Hudson; Karin Verspoor; Lawrence Cavedon (ACM Comput. Surv., 2023)

Large-scale analysis of query logs to profile users for dataset search. - Romina Sharifpour; Mingfang Wu; Xiuzhen Zhang 001 (J. Documentation, 2023)

Capacity-aware fair POI recommendation combining transformer neural networks and resource allocation policy. - Sajal Halder; Kwan Hui Lim 001; Jeffrey Chan; Xiuzhen Zhang 001 (Appl. Soft Comput., 2023)

Modeling User Demand Evolution for Next-Basket Prediction. - Shoujin Wang; Yan Wang 002; Liang Hu 004; Xiuzhen Zhang 001; Qi Zhang 020; Quan Z. Sheng; Mehmet A. Orgun; Longbing Cao; Defu Lian (IEEE Trans. Knowl. Data Eng., 2023)

Harnessing Network Effect for Fake News Mitigation: Selecting Debunkers via Self-Imitation Learning. - Xiaofei Xu; Ke Deng; Michael Dann; Xiuzhen Zhang 001 (AAAI, 2024)

Prompted Aspect Key Point Analysis for Quantitative Review Summarization. - An Quang Tang; Xiuzhen Zhang 001; Minh Ngoc Dinh; Erik Cambria (ACL (1), 2024)

IgnitionInnovators at "Discharge Me!": Chain-of-Thought Instruction Finetuning Large Language Models for Discharge Summaries. - An Quang Tang; Xiuzhen Zhang 001; Minh Ngoc Dinh (BioNLP@ACL, 2024)

Large Language Model Cascades and Persona-Based In-Context Learning for Multilingual Sexism Detection. - Lin Tian; Nannan Huang; Xiuzhen Zhang 001 (CLEF (1), 2024)

UPDATE: Mining User-News Engagement Patterns for Dual-Target Cross-Domain Fake News Detection. - Xuankai Yang; Yan Wang 002; Xiuzhen Zhang 001; Shoujin Wang; Huaxiong Wang; Kwok-Yan Lam (DSAA, 2024)

Bias in Opinion Summarisation from Pre-training to Adaptation: A Case Study in Political Bias. - Nannan Huang; Haytham Fayek; Xiuzhen Zhang 001 (EACL (1), 2024)

Aspect-based Key Point Analysis for Quantitative Summarization of Reviews. - An Quang Tang; Xiuzhen Zhang 001; Minh Ngoc Dinh (EACL (Findings), 2024)

CMA-R: Causal Mediation Analysis for Explaining Rumour Detection. - Lin Tian; Xiuzhen Zhang 001; Jey Han Lau (EACL (Findings), 2024)

FairGT: A Fairness-aware Graph Transformer. - Renqiang Luo; Huafei Huang; Shuo Yu 001; Xiuzhen Zhang 001; Feng Xia 001 (IJCAI, 2024)

Reference-free review-based product question answering evaluation via distant contrastive learning. - Tony Danhui Huang; Yongli Ren; Lifang Wu; Xiuzhen Zhang 001 (IJCNN, 2024)

FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks. - Renqiang Luo; Huafei Huang; Shuo Yu 001; Zhuoyang Han; Estrid He; Xiuzhen Zhang 001; Feng Xia 001 (KDD, 2024)

A Hierarchical and Disentangling Interest Learning Framework for Unbiased and True News Recommendation. - Shoujin Wang; Wentao Wang; Xiuzhen Zhang 001; Yan Wang 002; Huan Liu 001; Fang Chen 001 (KDD, 2024)

GAVx at SemEval-2024 Task 10: Emotion Flip Reasoning via Stacked Instruction Finetuning of LLMs. - Vy Nguyen; Xiuzhen Zhang 001 (SemEval@NAACL, 2024)

ZXQ at SemEval-2024 Task 7: Fine-tuning GPT-3.5-Turbo for Numerical Reasoning. - Zhen Qian; Xiaofei Xu; Xiuzhen Zhang 001 (SemEval@NAACL, 2024)

A survey on personalized itinerary recommendation: From optimisation to deep learning. - Sajal Halder; Kwan Hui Lim 001; Jeffrey Chan; Xiuzhen Zhang 001 (Appl. Soft Comput., 2024)

Causal Learning for Trustworthy Recommender Systems: A Survey. - Jin Li 002; Shoujin Wang; Qi Zhang 020; Longbing Cao; Fang Chen 001; Xiuzhen Zhang 001; Dietmar Jannach; Charu C. Aggarwal (CoRR, 2024)

Trustworthy Recommender Systems. - Shoujin Wang; Xiuzhen Zhang 001; Yan Wang 002; Francesco Ricci 001 (ACM Trans. Intell. Syst. Technol., 2024)

QQSUM: A Novel Task and Model of Quantitative Query-Focused Summarization for Review-based Product Question Answering. - An Quang Tang; Xiuzhen Zhang 001; Minh Ngoc Dinh; Zhuang Li (ACL (1), 2025)

Cultural Bias Matters: A Cross-Cultural Benchmark Dataset and Sentiment-Enriched Model for Understanding Multimodal Metaphors. - Senqi Yang; Dongyu Zhang 001; Jing Ren 001; Ziqi Xu 001; Xiuzhen Zhang 001; Yiliao Song; Hongfei Lin; Feng Xia 001 (ACL (1), 2025)

Teaching Large Language Models Number-Focused Headline Generation With Key Element Rationales. - Zhen Qian; Xiuzhen Zhang 001; Xiaofei Xu; Feng Xia 001 (NAACL (Findings), 2025)

LMOD: A Large Multimodal Ophthalmology Dataset and Benchmark for Large Vision-Language Models. - Zhenyue Qin; Yu Yin; Dylan Campbell; Xuansheng Wu; Ke Zou; Ninghao Liu; Yih Chung Tham; Xiuzhen Zhang 001; Qingyu Chen 001 (NAACL (Findings), 2025)

Can Large Language Models Be a Good Evaluator for Review-based Product Question Answering? - Tony Danhui Huang; Yongli Ren; Xiuzhen Zhang 001 (WWW (Companion Volume), 2025)

RCAEval: A Benchmark for Root Cause Analysis of Microservice Systems with Telemetry Data. - Luan Pham; Hongyu Zhang 002; Huong Ha 001; Flora Salim; Xiuzhen Zhang 001 (WWW (Companion Volume), 2025)

A Macro- and Micro-Hierarchical Transfer Learning Framework for Cross-Domain Fake News Detection. - Xuankai Yang; Yan Wang 002; Xiuzhen Zhang 001; Shoujin Wang; Huaxiong Wang; Kwok-Yan Lam (WWW, 2025)

Graph2text or Graph2token: A Perspective of Large Language Models for Graph Learning. - Shuo Yu 001; Yingbo Wang; Ruolin Li; Guchun Liu; Yanming Shen; Shaoxiong Ji; Bowen Li 012; Fengling Han; Xiuzhen Zhang 001; Feng Xia 001 (CoRR, 2025)

Generating Grounded Responses to Counter Misinformation via Learning Efficient Fine-Grained Critiques. - Xiaofei Xu; Xiuzhen Zhang 001; Ke Deng (CoRR, 2025)

Unified Empirical Evaluation and Comparison of Session-based Recommendation Algorithms. - Qingbo Zhang; Xiangmin Zhou; Xiuzhen Zhang 001; Xiaochun Yang 001; Bin Wang 015; Xun Yi (ACM Comput. Surv., 2025)

Deep Learning of Dynamic POI Generation and Optimisation for Itinerary Recommendation. - Sajal Halder; Kwan Hui Lim 001; Jeffrey Chan; Xiuzhen Zhang 001 (Trans. Recomm. Syst., 2025)