| 2026 | AAAI | Hallucinate Less by Thinking More: Aspect-Based Causal Abstention for Large Language Models. | Vy Nguyen, Ziqi Xu, Jeffrey Chan, Estrid He, Feng Xia, Xiuzhen Zhang |
| 2026 | AAAI | ARQUSUMM: Argument-aware Quantitative Summarization of Online Conversations. | An Quang Tang, Xiuzhen Zhang, Minh Ngoc Dinh, Zhuang Li |
| 2026 | EACL | Debiasing Large Language Models via Adaptive Causal Prompting with Sketch-of-Thought. | Bowen Li, Ziqi Xu, Jing Ren, Renqiang Luo, Xikun Zhang, Xiuzhen Zhang, Yongli Ren, Feng Xia |
| 2026 | WWW | Cross-Domain Fake News Detection on Unseen Domains via LLM-Based Domain-Aware User Modeling. | Xuankai Yang, Yan Wang, Jiajie Zhu, Pengfei Ding, Hongyang Liu, Xiuzhen Zhang, Huan Liu |
| 2025 | ACL | QQSUM: A Novel Task and Model of Quantitative Query-Focused Summarization for Review-based Product Question Answering. | An Quang Tang, Xiuzhen Zhang, Minh Ngoc Dinh, Zhuang Li |
| 2025 | ACL | Cultural Bias Matters: A Cross-Cultural Benchmark Dataset and Sentiment-Enriched Model for Understanding Multimodal Metaphors. | Senqi Yang, Dongyu Zhang, Jing Ren, Ziqi Xu, Xiuzhen Zhang, Yiliao Song, Hongfei Lin, Feng Xia |
| 2025 | CIKM | X-Troll: eXplainable Detection of State-Sponsored Information Operations Agents. | Lin Tian, Xiuzhen Zhang, Maria Myung-Hee Kim, Jennifer Biggs, Marian-Andrei Rizoiu |
| 2025 | CIKM | Unbiased Reasoning for Knowledge-Intensive Tasks in Large Language Models via Conditional Front-Door Adjustment. | Bo Zhao, Yinghao Zhang, Ziqi Xu, Yongli Ren, Xiuzhen Zhang, Renqiang Luo, Zaiwen Feng, Feng Xia |
| 2025 | ECAI | Learning Marked Temporal Point Process Explanations Based on Counterfactual and Factual Reasoning. | Sishun Liu, Ke Deng, Xiuzhen Zhang, Yan Wang |
| 2025 | EMNLP | Less Is More? Examining Fairness in Pruned Large Language Models for Summarising Opinions. | Nannan Huang, Haytham M. Fayek, Xiuzhen Zhang |
| 2025 | IJCAI | Generating Grounded Responses to Counter Misinformation via Learning Efficient Fine-Grained Critiques. | Xiaofei Xu, Xiuzhen Zhang, Ke Deng |
| 2025 | NAACL | Teaching Large Language Models Number-Focused Headline Generation With Key Element Rationales. | Zhen Qian, Xiuzhen Zhang, Xiaofei Xu, Feng Xia |
| 2025 | NAACL | 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, Qingyu Chen |
| 2025 | RAID | Unsupervised Backdoor Detection and Mitigation for Spiking Neural Networks. | Jiachen Li, Bang Wu, Xiaoyu Xia, Xiaoning Liu, Xun Yi, Xiuzhen Zhang |
| 2025 | WWW | Can Large Language Models Be a Good Evaluator for Review-based Product Question Answering? | Tony Danhui Huang, Yongli Ren, Xiuzhen Zhang |
| 2025 | WWW | RCAEval: A Benchmark for Root Cause Analysis of Microservice Systems with Telemetry Data. | Luan Pham, Hongyu Zhang, Huong Ha, Flora Salim, Xiuzhen Zhang |
| 2025 | WWW | A Macro- and Micro-Hierarchical Transfer Learning Framework for Cross-Domain Fake News Detection. | Xuankai Yang, Yan Wang, Xiuzhen Zhang, Shoujin Wang, Huaxiong Wang, Kwok-Yan Lam |
| 2024 | AAAI | Harnessing Network Effect for Fake News Mitigation: Selecting Debunkers via Self-Imitation Learning. | Xiaofei Xu, Ke Deng, Michael Dann, Xiuzhen Zhang |
| 2024 | ACL | Prompted Aspect Key Point Analysis for Quantitative Review Summarization. | An Quang Tang, Xiuzhen Zhang, Minh Ngoc Dinh, Erik Cambria |
| 2024 | DSAA | UPDATE: Mining User-News Engagement Patterns for Dual-Target Cross-Domain Fake News Detection. | Xuankai Yang, Yan Wang, Xiuzhen Zhang, Shoujin Wang, Huaxiong Wang, Kwok-Yan Lam |
| 2024 | EACL | Bias in Opinion Summarisation from Pre-training to Adaptation: A Case Study in Political Bias. | Nannan Huang, Haytham Fayek, Xiuzhen Zhang |
| 2024 | EACL | Aspect-based Key Point Analysis for Quantitative Summarization of Reviews. | An Quang Tang, Xiuzhen Zhang, Minh Ngoc Dinh |
| 2024 | EACL | CMA-R: Causal Mediation Analysis for Explaining Rumour Detection. | Lin Tian, Xiuzhen Zhang, Jey Han Lau |
| 2024 | IJCAI | FairGT: A Fairness-aware Graph Transformer. | Renqiang Luo, Huafei Huang, Shuo Yu, Xiuzhen Zhang, Feng Xia |
| 2024 | IJCNN | Reference-free review-based product question answering evaluation via distant contrastive learning. | Tony Danhui Huang, Yongli Ren, Lifang Wu, Xiuzhen Zhang |
| 2024 | KDD | FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks. | Renqiang Luo, Huafei Huang, Shuo Yu, Zhuoyang Han, Estrid He, Xiuzhen Zhang, Feng Xia |
| 2024 | KDD | A Hierarchical and Disentangling Interest Learning Framework for Unbiased and True News Recommendation. | Shoujin Wang, Wentao Wang, Xiuzhen Zhang, Yan Wang, Huan Liu, Fang Chen |
| 2023 | EACL | Task and Sentiment Adaptation for Appraisal Tagging. | Lin Tian, Xiuzhen Zhang, Maria Myung-Hee Kim, Jennifer Biggs |
| 2023 | IJCAI | Task Allocation on Networks with Execution Uncertainty (Extended Abstract)∗. | Yao Zhang, Xiuzhen Zhang, Dengji Zhao |
| 2023 | WWW | MetaTroll: Few-shot Detection of State-Sponsored Trolls with Transformer Adapters. | Lin Tian, Xiuzhen Zhang, Jey Han Lau |
| 2022 | DSAA | Mitigation of Rumours in Social Networks via Epidemic Model-based Reinforcement Learning. | H. Ruda Nie, Xiuzhen Zhang, Minyi Li, Anil Dolgun |
| 2022 | KDD | Data Science and Artificial Intelligence for Responsible Recommendations. | Shoujin Wang, Ninghao Liu, Xiuzhen Zhang, Yan Wang, Francesco Ricci, Bamshad Mobasher |
| 2022 | NAACL | DUCK: Rumour Detection on Social Media by Modelling User and Comment Propagation Networks. | Lin Tian, Xiuzhen Zhang, Jey Han Lau |
| 2022 | PRIMA | Task Allocation on Networks with Execution Uncertainty. | Xiuzhen Zhang, Yao Zhang, Dengji Zhao |
| 2022 | WWW | Veracity-aware and Event-driven Personalized News Recommendation for Fake News Mitigation. | Shoujin Wang, Xiaofei Xu, Xiuzhen Zhang, Yan Wang, Wenzhuo Song |
| 2022 | SIGIR | Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities. | Shoujin Wang, Qi Zhang, Liang Hu, Xiuzhen Zhang, Yan Wang, Charu Aggarwal |
| 2022 | WSDM | Identifying Cost-effective Debunkers for Multi-stage Fake News Mitigation Campaigns. | Xiaofei Xu, Ke Deng, Xiuzhen Zhang |
| 2021 | PAKDD | Transformer-Based Multi-task Learning for Queuing Time Aware Next POI Recommendation. | Sajal Halder, Kwan Hui Lim, Jeffrey Chan, Xiuzhen Zhang |
| 2021 | SAGT | Incentive Compatible Mechanism for Influential Agent Selection. | Xiuzhen Zhang, Yao Zhang, Dengji Zhao |
| 2020 | CIKM | #DemocratsAreDestroyingAmerica: Rumour Analysis on Twitter During COVID-19. | Lin Tian, Xiuzhen Zhang, Jey Han Lau |
| 2020 | DSAA | Modelling User Influence and Rumor Propagation on Twitter using Hawkes Processes. | H. Ruda Nie, Xiuzhen Zhang, Minyi Li, Anil Dolgun, James Baglin |
| 2020 | ECIR | Early Detection of Rumours on Twitter via Stance Transfer Learning. | Lin Tian, Xiuzhen Zhang, Yan Wang, Huan Liu |
| 2020 | IJCAI | Sybil-proof Answer Querying Mechanism. | Yao Zhang, Xiuzhen Zhang, Dengji Zhao |
| 2020 | WWW | FakeFinder: Twitter Fake News Detection on Mobile. | Lin Tian, Xiuzhen Zhang, Min Peng |
| 2020 | SIGIR | Evaluation of Cross Domain Text Summarization. | Liam Scanlon, Shiwei Zhang, Xiuzhen Zhang, Mark Sanderson |
| 2019 | ICDM | Learning Effective Representations from Sparse Mutlimodal Data on Content Curation Social Networks. | Lifang Wu, Bowen Yang, Meng Jian, Xiuzhen Zhang, Heng Zhang, Xu Liu |
| 2019 | ICDM | Discovering Relevant Reviews for Answering Product-Related Queries. | Shiwei Zhang, Jey Han Lau, Xiuzhen Zhang, Jeffrey Chan, Ccile Paris |
| 2018 | ACL | Neural Sparse Topical Coding. | Min Peng, Qianqian Xie, Hua Wang, Yanchun Zhang, Xiuzhen Zhang, Jimin Huang, Gang Tian |
| 2018 | ADC | Social-Textual Query Processing on Graph Database Systems. | Oshini Goonetilleke, Timos Sellis, Xiuzhen Zhang |
| 2018 | AusDM | Behavioral Analysis of Users for Spammer Detection in a Multiplex Social Network. | Tahereh Pourhabibi, Yee Ling Boo, Kok-Leong Ong, Booi Kam, Xiuzhen Zhang |
| 2018 | DASFAA | Extracting Label Importance Information for Multi-label Classification. | Dengbao Wang, Li Li, Jingyuan Wang, Fei Hu, Xiuzhen Zhang |
| 2018 | PAKDD | Identifying Singleton Spammers via Spammer Group Detection. | Dheeraj Kumar, Yassien Shaalan, Xiuzhen Zhang, Jeffrey Chan |
| 2018 | PAKDD | Learning to Rank Items of Minimal Reviews Using Weak Supervision. | Yassien Shaalan, Xiuzhen Zhang, Jeffrey Chan |
| 2018 | PAKDD | A Locally Adaptive Multi-Label k-Nearest Neighbor Algorithm. | Dengbao Wang, Jingyuan Wang, Fei Hu, Li Li, Xiuzhen Zhang |
| 2017 | AAAI | Detection of Money Laundering Groups: Supervised Learning on Small Networks. | David Savage, Qingmai Wang, Xiuzhen Zhang, Pauline Chou, Xinghuo Yu |
| 2017 | ADCS | A Word-Character Convolutional Neural Network for Language-Agnostic Twitter Sentiment Analysis. | Shiwei Zhang, Xiuzhen Zhang, Jeffrey Chan |
| 2017 | ADMA | Language-Independent Twitter Classification Using Character-Based Convolutional Networks. | Shiwei Zhang, Xiuzhen Zhang, Jeffrey Chan |
| 2017 | APWEB | Change Detection from Media Sharing Community. | Naoki Kito, Xiangmin Zhou, Dong Qin, Yongli Ren, Xiuzhen Zhang, James A. Thom |
| 2017 | ICIP | Reducing noisy labels in weakly labeled data for visual sentiment analysis. | Lifang Wu, Shuang Liu, Meng Jian, Jiebo Luo, Xiuzhen Zhang, Mingchao Qi |
| 2017 | IJCAI | Sequence Clustering Methods and Completeness of Biological Database Search. | Qingyu Chen, Xiuzhen Zhang, Yu Wan, Justin Zobel, Karin Verspoor |
| 2016 | ADC | Automatic Labelling of Topics via Analysis of User Summaries. | Lishan Cui, Xiuzhen Zhang, Amanda Kimpton, Daryl J. D'Souza |
| 2016 | ADC | Topical Event Detection on Twitter. | Lishan Cui, Xiuzhen Zhang, Xiangmin Zhou, Flora D. Salim |
| 2016 | ADC | A Time and Opinion Quality-Weighted Model for Aggregating Online Reviews. | Yassien Shaalan, Xiuzhen Zhang |
| 2016 | ECIR | Correlation Analysis of Reader's Demographics and Tweet Credibility Perception. | Shafiza Mohd Shariff, Mark Sanderson, Xiuzhen Zhang |
| 2016 | SIGIR | Quit While Ahead: Evaluating Truncated Rankings. | Fei Liu, Alistair Moffat, Timothy Baldwin, Xiuzhen Zhang |
| 2015 | KDD | Anytime Concurrent Clustering of Multiple Streams with an Indexing Tree. | Zhinoos Razavi Hesabi, Timos K. Sellis, Xiuzhen Zhang |
| 2015 | SIGMOD | Microblogging Queries on Graph Databases: An Introspection. | Oshini Goonetilleke, Saket Sathe, Timos K. Sellis, Xiuzhen Zhang |
| 2014 | ADC | Sentiment Analysis on Twitter through Topic-Based Lexicon Expansion. | Zhixin Zhou, Xiuzhen Zhang, Mark Sanderson |
| 2014 | ADCS | Tweet Author Location Impacts on Tweet Credibility. | Suliman Aladhadh, Xiuzhen Zhang, Mark Sanderson |
| 2014 | ADCS | Analysing User Access To An Online Newspaper. | Husna Sarirah Husin, James A. Thom, Xiuzhen Zhang |
| 2014 | CEC | Ant colony clustering based on sampling for community detection. | Xiangjing Song, Junzhong Ji, Cuicui Yang, Xiuzhen Zhang |
| 2014 | ECIR | User Perception of Information Credibility of News on Twitter. | Shafiza Mohd Shariff, Xiuzhen Zhang, Mark Sanderson |
| 2013 | ADMA | Mining E-Commerce Feedback Comments for Dimension Rating Profiles. | Lishan Cui, Xiuzhen Zhang, Yan Wang, Lifang Wu |
| 2013 | PAKDD | A Connectionist Model-Based Approach to Centrality Discovery in Social Networks. | Qingmai Wang, Xinghuo Yu, Xiuzhen Zhang |
| 2013 | PAKDD | A Positive-biased Nearest Neighbour Algorithm for Imbalanced Classification. | Xiuzhen Zhang, Yuxuan Li |
| 2012 | ADC | Sentiment classification of blog posts using topical extracts. | Zhixin Zhou, Xiuzhen Zhang, Phil Vines |
| 2012 | TrustCom | Efficient Contextual Transaction Trust Computation in E-commerce Environments. | Haibin Zhang, Yan Wang, Xiuzhen Zhang |
| 2012 | WISE | Sentiment Analysis by Augmenting Expectation Maximisation with Lexical Knowledge. | Xiuzhen Zhang, Yun Zhou, James Bailey, Kotagiri Ramamohanarao |
| 2011 | ADC | An Empirical Study of Learning from Imbalanced Data. | Xiuzhen Zhang, Yuxuan Li |
| 2011 | DOLAP | Enforcing strictness in integration of dimensions: beyond instance matching. | Dariush Riazati, James A. Thom, Xiuzhen Zhang |
| 2011 | ICWS | Transaction Similarity-Based Contextual Trust Evaluation in E-Commerce and E-Service Environments. | Haibin Zhang, Yan Wang, Xiuzhen Zhang |
| 2011 | PAKDD | Improving | Yuxuan Li, Xiuzhen Zhang |
| 2011 | WISE | Holistic Approaches to Identifying the Sentiment of Blogs Using Opinion Words. | Xiuzhen Zhang, Yun Zhou |
| 2010 | DEXA | Inferring Aggregation Hierarchies for Integration of Data Marts. | Dariush Riazati, James A. Thom, Xiuzhen Zhang |
| 2008 | ADC | Drill Across and Visualization of Cubes with Non-conformed Dimensions. | Dariush Riazati, James A. Thom, Xiuzhen Zhang |
| 2008 | COMAD | The Efficient Maintenance of Access Roles with Role Hiding. | Chaoyi Pang, Xiuzhen Zhang, Yanchun Zhang, Kotagiri Ramamohanarao |
| 2007 | ADC | Building a Disordered Protein Database: A Case Study in Managing Biological Data. | Arran D. Stewart, Xiuzhen Zhang |
| 2007 | PAKDD | Reducing Overfitting in Predicting Intrinsically Unstructured Proteins. | Pengfei Han, Xiuzhen Zhang, Raymond S. Norton, Zhi-Ping Feng |
| 2007 | PRDC | Predicting Defective Software Components from Code Complexity Measures. | Hongyu Zhang, Xiuzhen Zhang, Ming Gu |
| 2006 | DaWaK | Computing Iceberg Quotient Cubes with Bounding. | Xiuzhen Zhang, Pauline Lienhua Chou, Kotagiri Ramamohanarao |
| 2006 | DEXA | Multiway Pruning for Efficient Iceberg Cubing. | Xiuzhen Zhang, Pauline Lienhua Chou |
| 2005 | WISE | Multiway Iceberg Cubing on Trees. | Pauline Lienhua Chou, Xiuzhen Zhang |
| 2004 | APWEB | Efficient Frequent Pattern Mining on Web Logs. | Liping Sun, Xiuzhen Zhang |
| 2004 | DaWaK | Computing Complex Iceberg Cubes by Multiway Aggregation and Bounding. | Pauline Lienhua Chou, Xiuzhen Zhang |
| 2004 | WISE | Generating Multidimensional Schemata from Relational Aggregation Queries. | Chaoyi Pang, Kerry L. Taylor, Xiuzhen Zhang, Mark A. Cameron |
| 2003 | PAKDD | Efficiently Computing Iceberg Cubes with Complex Constraints through Bounding. | Pauline Lienhua Chou, Xiuzhen Zhang |
| 2001 | PAKDD | Building Behaviour Knowledge Space to Make Classification Decision. | Xiuzhen Zhang, Guozhu Dong, Kotagiri Ramamohanarao |
| 2000 | IDEAL | Information-Based Classification by Aggregating Emerging Patterns. | Xiuzhen Zhang, Guozhu Dong, Kotagiri Ramamohanarao |
| 2000 | KDD | Exploring constraints to efficiently mine emerging patterns from large high-dimensional datasets. | Xiuzhen Zhang, Guozhu Dong, Kotagiri Ramamohanarao |
| 1999 | DIS | CAEP: Classification by Aggregating Emerging Patterns. | Guozhu Dong, Xiuzhen Zhang, Limsoon Wong, Jinyan Li |