Xiuzhen Zhang

223 papers A* 18A 12B 17C 6Misc 18Journal 90Unranked 61
YearRankTypeTitle / Venue / Authors
2026 A* conf
ARQUSUMM: Argument-aware Quantitative Summarization of Online Conversations.
AAAI
An Quang Tang, Xiuzhen Zhang, Minh Ngoc Dinh, Zhuang Li
2026 A* conf
Cross-Domain Fake News Detection on Unseen Domains via LLM-Based Domain-Aware User Modeling.
WWW
Xuankai Yang, Yan Wang, Jiajie Zhu, Pengfei Ding, Hongyang Liu, Xiuzhen Zhang, Huan Liu
2026 J jnl
Cross-Domain Fake News Detection on Unseen Domains via LLM-Based Domain-Aware User Modeling.
CoRR
Xuankai Yang, Yan Wang, Jiajie Zhu, Pengfei Ding, Hongyang Liu, Xiuzhen Zhang, Huan Liu
2026 J jnl
Data Flipping Attack and Defense in Web Edge Caching Systems.
IEEE Trans. Inf. Forensics Secur.
Mengsha Kou, Xiaoyu Xia, Ibrahim Khalil, Ziqi Wang, Xiuzhen Zhang, Lin Yao, Minhui Xue
2026 — conf
Debiasing Large Language Models via Adaptive Causal Prompting with Sketch-of-Thought.
EACL (Findings)
Bowen Li, Ziqi Xu, Jing Ren, Renqiang Luo, Xikun Zhang, Xiuzhen Zhang, Yongli Ren, Feng Xia
2026 J jnl
Debiasing Large Language Models via Adaptive Causal Prompting with Sketch-of-Thought.
CoRR
Bowen Li, Ziqi Xu, Jing Ren, Renqiang Luo, Xikun Zhang, Xiuzhen Zhang, Yongli Ren, Feng Xia
2026 J jnl
Graph2text or Graph2token: A Perspective of Large Language Models for Graph Learning.
ACM Trans. Inf. Syst.
Shuo Yu, Yingbo Wang, Ruolin Li, Guchun Liu, Yanming Shen, Shaoxiong Ji, Bowen Li, Fengling Han, Xiuzhen Zhang, Feng Xia
2026 A* conf
Hallucinate Less by Thinking More: Aspect-Based Causal Abstention for Large Language Models.
AAAI
Vy Nguyen, Ziqi Xu, Jeffrey Chan, Estrid He, Feng Xia, Xiuzhen Zhang
2025 A* conf
A Macro- and Micro-Hierarchical Transfer Learning Framework for Cross-Domain Fake News Detection.
WWW
Xuankai Yang, Yan Wang, Xiuzhen Zhang, Shoujin Wang, Huaxiong Wang, Kwok-Yan Lam
2025 J jnl
A Macro- and Micro-Hierarchical Transfer Learning Framework for Cross-Domain Fake News Detection.
CoRR
Xuankai Yang, Yan Wang, Xiuzhen Zhang, Shoujin Wang, Huaxiong Wang, Kwok-Yan Lam
2025 J jnl
ARQUSUMM: Argument-aware Quantitative Summarization of Online Conversations.
CoRR
An Quang Tang, Xiuzhen Zhang, Minh Ngoc Dinh, Zhuang Li
2025 J jnl
Addressing Mark Imbalance in Integration-free Neural Marked Temporal Point Processes.
CoRR
Sishun Liu, Ke Deng, Yongli Ren, Yan Wang, Xiuzhen Zhang
2025 — conf
Can Large Language Models Be a Good Evaluator for Review-based Product Question Answering?
WWW (Companion Volume)
Tony Danhui Huang, Yongli Ren, Xiuzhen Zhang
2025 — conf
Cultural Bias Matters: A Cross-Cultural Benchmark Dataset and Sentiment-Enriched Model for Understanding Multimodal Metaphors.
ACL (1)
Senqi Yang, Dongyu Zhang, Jing Ren, Ziqi Xu, Xiuzhen Zhang, Yiliao Song, Hongfei Lin, Feng Xia
2025 J jnl
Cultural Bias Matters: A Cross-Cultural Benchmark Dataset and Sentiment-Enriched Model for Understanding Multimodal Metaphors.
CoRR
Senqi Yang, Dongyu Zhang, Jing Ren, Ziqi Xu, Xiuzhen Zhang, Yiliao Song, Hongfei Lin, Feng Xia
2025 J jnl
Deep Learning of Dynamic POI Generation and Optimisation for Itinerary Recommendation.
Trans. Recomm. Syst.
Sajal Halder, Kwan Hui Lim, Jeffrey Chan, Xiuzhen Zhang
2025 A* conf
Generating Grounded Responses to Counter Misinformation via Learning Efficient Fine-Grained Critiques.
IJCAI
Xiaofei Xu, Xiuzhen Zhang, Ke Deng
2025 J jnl
Generating Grounded Responses to Counter Misinformation via Learning Efficient Fine-Grained Critiques.
CoRR
Xiaofei Xu, Xiuzhen Zhang, Ke Deng
2025 J jnl
Graph2text or Graph2token: A Perspective of Large Language Models for Graph Learning.
CoRR
Shuo Yu, Yingbo Wang, Ruolin Li, Guchun Liu, Yanming Shen, Shaoxiong Ji, Bowen Li, Fengling Han, Xiuzhen Zhang, Feng Xia
2025 J jnl
Hallucinate Less by Thinking More: Aspect-Based Causal Abstention for Large Language Models.
CoRR
Vy Nguyen, Ziqi Xu, Jeffrey Chan, Estrid He, Feng Xia, Xiuzhen Zhang
2025 J jnl
LMOD+: A Comprehensive Multimodal Dataset and Benchmark for Developing and Evaluating Multimodal Large Language Models in Ophthalmology.
CoRR
Zhenyue Qin, Yang Liu, Yu Yin, Jinyu Ding, Haoran Zhang, Anran Li, Dylan Campbell, Xuansheng Wu, Ke Zou, Tiarnan D. L. Keenan, Emily Y. Chew, Zhiyong Lu, Yih-Chung Tham, Ninghao Liu, Xiuzhen Zhang, Qingyu Chen
2025 — conf
LMOD: A Large Multimodal Ophthalmology Dataset and Benchmark for Large Vision-Language Models.
NAACL (Findings)
Zhenyue Qin, Yu Yin, Dylan Campbell, Xuansheng Wu, Ke Zou, Ninghao Liu, Yih Chung Tham, Xiuzhen Zhang, Qingyu Chen
2025 A conf
Learning Marked Temporal Point Process Explanations Based on Counterfactual and Factual Reasoning.
ECAI
Sishun Liu, Ke Deng, Xiuzhen Zhang, Yan Wang
2025 J jnl
Learning Marked Temporal Point Process Explanations based on Counterfactual and Factual Reasoning.
CoRR
Sishun Liu, Ke Deng, Xiuzhen Zhang, Yan Wang
2025 A* conf
Less Is More? Examining Fairness in Pruned Large Language Models for Summarising Opinions.
EMNLP
Nannan Huang, Haytham M. Fayek, Xiuzhen Zhang
2025 J jnl
Less Is More? Examining Fairness in Pruned Large Language Models for Summarising Opinions.
CoRR
Nannan Huang, Haytham Fayek, Xiuzhen Zhang
2025 — conf
QQSUM: A Novel Task and Model of Quantitative Query-Focused Summarization for Review-based Product Question Answering.
ACL (1)
An Quang Tang, Xiuzhen Zhang, Minh Ngoc Dinh, Zhuang Li
2025 J jnl
QQSUM: A Novel Task and Model of Quantitative Query-Focused Summarization for Review-based Product Question Answering.
CoRR
An Quang Tang, Xiuzhen Zhang, Minh Ngoc Dinh, Zhuang Li
2025 — conf
RCAEval: A Benchmark for Root Cause Analysis of Microservice Systems with Telemetry Data.
WWW (Companion Volume)
Luan Pham, Hongyu Zhang, Huong Ha, Flora Salim, Xiuzhen Zhang
2025 J jnl
REFER: Mitigating Bias in Opinion Summarisation via Frequency Framed Prompting.
CoRR
Nannan Huang, Haytham M. Fayek, Xiuzhen Zhang
2025 — conf
Teaching Large Language Models Number-Focused Headline Generation With Key Element Rationales.
NAACL (Findings)
Zhen Qian, Xiuzhen Zhang, Xiaofei Xu, Feng Xia
2025 J jnl
Teaching Large Language Models Number-Focused Headline Generation With Key Element Rationales.
CoRR
Zhen Qian, Xiuzhen Zhang, Xiaofei Xu, Feng Xia
2025 A conf
Unbiased Reasoning for Knowledge-Intensive Tasks in Large Language Models via Conditional Front-Door Adjustment.
CIKM
Bo Zhao, Yinghao Zhang, Ziqi Xu, Yongli Ren, Xiuzhen Zhang, Renqiang Luo, Zaiwen Feng, Feng Xia
2025 J jnl
Unbiased Reasoning for Knowledge-Intensive Tasks in Large Language Models via Conditional Front-Door Adjustment.
CoRR
Bo Zhao, Yinghao Zhang, Ziqi Xu, Yongli Ren, Xiuzhen Zhang, Renqiang Luo, Zaiwen Feng, Feng Xia
2025 J jnl
Unified Empirical Evaluation and Comparison of Session-based Recommendation Algorithms.
ACM Comput. Surv.
Qingbo Zhang, Xiangmin Zhou, Xiuzhen Zhang, Xiaochun Yang, Bin Wang, Xun Yi
2025 A conf
Unsupervised Backdoor Detection and Mitigation for Spiking Neural Networks.
RAID
Jiachen Li, Bang Wu, Xiaoyu Xia, Xiaoning Liu, Xun Yi, Xiuzhen Zhang
2025 J jnl
Unsupervised Backdoor Detection and Mitigation for Spiking Neural Networks.
CoRR
Jiachen Li, Bang Wu, Xiaoyu Xia, Xiaoning Liu, Xun Yi, Xiuzhen Zhang
2025 A conf
X-Troll: eXplainable Detection of State-Sponsored Information Operations Agents.
CIKM
Lin Tian, Xiuzhen Zhang, Maria Myung-Hee Kim, Jennifer Biggs, Marian-Andrei Rizoiu
2025 J jnl
X-Troll: eXplainable Detection of State-Sponsored Information Operations Agents.
CoRR
Lin Tian, Xiuzhen Zhang, Maria Myung-Hee Kim, Jennifer Biggs, Marian-Andrei Rizoiu
2024 A* conf
A Hierarchical and Disentangling Interest Learning Framework for Unbiased and True News Recommendation.
KDD
Shoujin Wang, Wentao Wang, Xiuzhen Zhang, Yan Wang, Huan Liu, Fang Chen
2024 J jnl
A survey on personalized itinerary recommendation: From optimisation to deep learning.
Appl. Soft Comput.
Sajal Halder, Kwan Hui Lim, Jeffrey Chan, Xiuzhen Zhang
2024 — conf
Aspect-based Key Point Analysis for Quantitative Summarization of Reviews.
EACL (Findings)
An Quang Tang, Xiuzhen Zhang, Minh Ngoc Dinh
2024 — conf
Bias in Opinion Summarisation from Pre-training to Adaptation: A Case Study in Political Bias.
EACL (1)
Nannan Huang, Haytham Fayek, Xiuzhen Zhang
2024 J jnl
Bias in Opinion Summarisation from Pre-training to Adaptation: A Case Study in Political Bias.
CoRR
Nannan Huang, Haytham Fayek, Xiuzhen Zhang
2024 — conf
CMA-R: Causal Mediation Analysis for Explaining Rumour Detection.
EACL (Findings)
Lin Tian, Xiuzhen Zhang, Jey Han Lau
2024 J jnl
CMA-R: Causal Mediation Analysis for Explaining Rumour Detection.
CoRR
Lin Tian, Xiuzhen Zhang, Jey Han Lau
2024 J jnl
Causal Learning for Trustworthy Recommender Systems: A Survey.
CoRR
Jin Li, Shoujin Wang, Qi Zhang, Longbing Cao, Fang Chen, Xiuzhen Zhang, Dietmar Jannach, Charu C. Aggarwal
2024 A* conf
FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks.
KDD
Renqiang Luo, Huafei Huang, Shuo Yu, Zhuoyang Han, Estrid He, Xiuzhen Zhang, Feng Xia
2024 J jnl
FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks.
CoRR
Renqiang Luo, Huafei Huang, Shuo Yu, Zhuoyang Han, Estrid He, Xiuzhen Zhang, Feng Xia
2024 A* conf
FairGT: A Fairness-aware Graph Transformer.
IJCAI
Renqiang Luo, Huafei Huang, Shuo Yu, Xiuzhen Zhang, Feng Xia
2024 J jnl
FairGT: A Fairness-aware Graph Transformer.
CoRR
Renqiang Luo, Huafei Huang, Shuo Yu, Xiuzhen Zhang, Feng Xia
2024 — conf
GAVx at SemEval-2024 Task 10: Emotion Flip Reasoning via Stacked Instruction Finetuning of LLMs.
SemEval@NAACL
Vy Nguyen, Xiuzhen Zhang
2024 A* conf
Harnessing Network Effect for Fake News Mitigation: Selecting Debunkers via Self-Imitation Learning.
AAAI
Xiaofei Xu, Ke Deng, Michael Dann, Xiuzhen Zhang
2024 J jnl
Harnessing Network Effect for Fake News Mitigation: Selecting Debunkers via Self-Imitation Learning.
CoRR
Xiaofei Xu, Ke Deng, Michael Dann, Xiuzhen Zhang
2024 — conf
IgnitionInnovators at "Discharge Me!": Chain-of-Thought Instruction Finetuning Large Language Models for Discharge Summaries.
BioNLP@ACL
An Quang Tang, Xiuzhen Zhang, Minh Ngoc Dinh
2024 J jnl
IgnitionInnovators at "Discharge Me!": Chain-of-Thought Instruction Finetuning Large Language Models for Discharge Summaries.
CoRR
An Quang Tang, Xiuzhen Zhang, Minh Ngoc Dinh
2024 J jnl
LMOD: A Large Multimodal Ophthalmology Dataset and Benchmark for Large Vision-Language Models.
CoRR
Zhenyue Qin, Yu Yin, Dylan Campbell, Xuansheng Wu, Ke Zou, Yih-Chung Tham, Ninghao Liu, Xiuzhen Zhang, Qingyu Chen
2024 — conf
Large Language Model Cascades and Persona-Based In-Context Learning for Multilingual Sexism Detection.
CLEF (1)
Lin Tian, Nannan Huang, Xiuzhen Zhang
2024 — conf
Prompted Aspect Key Point Analysis for Quantitative Review Summarization.
ACL (1)
An Quang Tang, Xiuzhen Zhang, Minh Ngoc Dinh, Erik Cambria
2024 J jnl
Prompted Aspect Key Point Analysis for Quantitative Review Summarization.
CoRR
An Quang Tang, Xiuzhen Zhang, Minh Ngoc Dinh, Erik Cambria
2024 J jnl
RCAEval: A Benchmark for Root Cause Analysis of Microservice Systems with Telemetry Data.
CoRR
Luan Pham, Hongyu Zhang, Huong Ha, Flora D. Salim, Xiuzhen Zhang
2024 B conf
Reference-free review-based product question answering evaluation via distant contrastive learning.
IJCNN
Tony Danhui Huang, Yongli Ren, Lifang Wu, Xiuzhen Zhang
2024 J jnl
Trustworthy Recommender Systems.
ACM Trans. Intell. Syst. Technol.
Shoujin Wang, Xiuzhen Zhang, Yan Wang, Francesco Ricci
2024 B conf
UPDATE: Mining User-News Engagement Patterns for Dual-Target Cross-Domain Fake News Detection.
DSAA
Xuankai Yang, Yan Wang, Xiuzhen Zhang, Shoujin Wang, Huaxiong Wang, Kwok-Yan Lam
2024 — conf
ZXQ at SemEval-2024 Task 7: Fine-tuning GPT-3.5-Turbo for Numerical Reasoning.
SemEval@NAACL
Zhen Qian, Xiaofei Xu, Xiuzhen Zhang
2023 J jnl
Capacity-aware fair POI recommendation combining transformer neural networks and resource allocation policy.
Appl. Soft Comput.
Sajal Halder, Kwan Hui Lim, Jeffrey Chan, Xiuzhen Zhang
2023 — conf
Efficient Multilingual Sexism Detection via Large Language Model Cascades.
CLEF (Working Notes)
Lin Tian, Nannan Huang, Xiuzhen Zhang
2023 — conf
Efficient Text-based Propaganda Detection via Language Model Cascades.
IberLEF@SEPLN
Lin Tian, Xiuzhen Zhang, Maria Myung-Hee Kim, Jennifer Biggs
2023 J jnl
Examining Bias in Opinion Summarisation Through the Perspective of Opinion Diversity.
CoRR
Nannan Huang, Lin Tian, Haytham Fayek, Xiuzhen Zhang
2023 — conf
Examining Bias in Opinion Summarisation through the Perspective of Opinion Diversity.
WASSA@ACL
Nannan Huang, Lin Tian, Haytham Fayek, Xiuzhen Zhang
2023 J jnl
Explainable History Distillation by Marked Temporal Point Process.
CoRR
Sishun Liu, Ke Deng, Yan Wang, Xiuzhen Zhang
2023 — conf
IberLEF 2023 AuTexTification: Automated Text Identification Shared Task - Team OD-21.
IberLEF@SEPLN
Rinaldo Gagiano, Haytham Fayek, Maria Myung-Hee Kim, Jennifer Biggs, Xiuzhen Zhang
2023 J jnl
Intensity-free Integral-based Learning of Marked Temporal Point Processes.
CoRR
Sishun Liu, Ke Deng, Xiuzhen Zhang, Yongli Ren
2023 J jnl
Large-scale analysis of query logs to profile users for dataset search.
J. Documentation
Romina Sharifpour, Mingfang Wu, Xiuzhen Zhang
2023 A* conf
MetaTroll: Few-shot Detection of State-Sponsored Trolls with Transformer Adapters.
WWW
Lin Tian, Xiuzhen Zhang, Jey Han Lau
2023 J jnl
MetaTroll: Few-shot Detection of State-Sponsored Trolls with Transformer Adapters.
CoRR
Lin Tian, Xiuzhen Zhang, Jey Han Lau
2023 J jnl
Modeling User Demand Evolution for Next-Basket Prediction.
IEEE Trans. Knowl. Data Eng.
Shoujin Wang, Yan Wang, Liang Hu, Xiuzhen Zhang, Qi Zhang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Defu Lian
2023 A conf
Task and Sentiment Adaptation for Appraisal Tagging.
EACL
Lin Tian, Xiuzhen Zhang, Maria Myung-Hee Kim, Jennifer Biggs
2023 J jnl
The Secondary Use of Electronic Health Records for Data Mining: Data Characteristics and Challenges.
ACM Comput. Surv.
Tabinda Sarwar, Sattar Seifollahi, Jeffrey Chan, Xiuzhen Zhang, Vural Aksakalli, Irene Lena Hudson, Karin Verspoor, Lawrence Cavedon
2023 J jnl
Utilising a Large Language Model to Annotate Subject Metadata: A Case Study in an Australian National Research Data Catalogue.
CoRR
Shiwei Zhang, Mingfang Wu, Xiuzhen Zhang
2022 J jnl
Big social data as a service (BSDaaS): a service composition framework for social media analysis.
J. Big Data
Kashif Ali, Margaret Hamilton, Charles Thevathayan, Xiuzhen Zhang
2022 J jnl
Correction to: Online information disorder: fake news, bots and trolls.
Int. J. Data Sci. Anal.
Anastasia Giachanou, Xiuzhen Zhang, Alberto Barrón-Cedeño, Olessia Koltsova, Paolo Rosso
2022 — conf
DUCK: Rumour Detection on Social Media by Modelling User and Comment Propagation Networks.
NAACL-HLT
Lin Tian, Xiuzhen Zhang, Jey Han Lau
2022 A* conf
Data Science and Artificial Intelligence for Responsible Recommendations.
KDD
Shoujin Wang, Ninghao Liu, Xiuzhen Zhang, Yan Wang, Francesco Ricci, Bamshad Mobasher
2022 J jnl
Efficient itinerary recommendation via personalized POI selection and pruning.
Knowl. Inf. Syst.
Sajal Halder, Kwan Hui Lim, Jeffrey Chan, Xiuzhen Zhang
2022 J jnl
Evolution of user navigation behavior for online news.
Int. J. Web Inf. Syst.
Husna Sarirah Husin, James A. Thom, Xiuzhen Zhang
2022 A conf
Identifying Cost-effective Debunkers for Multi-stage Fake News Mitigation Campaigns.
WSDM
Xiaofei Xu, Ke Deng, Xiuzhen Zhang
2022 J jnl
Identifying Cost-effective Debunkers for Multi-stage Fake News Mitigation Campaigns.
CoRR
Xiaofei Xu, Ke Deng, Xiuzhen Zhang
2022 B conf
Mitigation of Rumours in Social Networks via Epidemic Model-based Reinforcement Learning.
DSAA
H. Ruda Nie, Xiuzhen Zhang, Minyi Li, Anil Dolgun
2022 J jnl
Online information disorder: fake news, bots and trolls.
Int. J. Data Sci. Anal.
Anastasia Giachanou, Xiuzhen Zhang, Alberto Barrón-Cedeño, Olessia Koltsova, Paolo Rosso
2022 J jnl
POI recommendation with queuing time and user interest awareness.
Data Min. Knowl. Discov.
Sajal Halder, Kwan Hui Lim, Jeffrey Chan, Xiuzhen Zhang
2022 A* conf
Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities.
SIGIR
Shoujin Wang, Qi Zhang, Liang Hu, Xiuzhen Zhang, Yan Wang, Charu Aggarwal
2022 J jnl
Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities.
CoRR
Shoujin Wang, Qi Zhang, Liang Hu, Xiuzhen Zhang, Yan Wang, Charu Aggarwal
2022 J jnl
Trustworthy Recommender Systems.
CoRR
Shoujin Wang, Xiuzhen Zhang, Yan Wang, Huan Liu, Francesco Ricci
2022 A* conf
Veracity-aware and Event-driven Personalized News Recommendation for Fake News Mitigation.
WWW
Shoujin Wang, Xiaofei Xu, Xiuzhen Zhang, Yan Wang, Wenzhuo Song
2021 J jnl
Detecting singleton spams in reviews via learning deep anomalous temporal aspect-sentiment patterns.
Data Min. Knowl. Discov.
Yassien Shaalan, Xiuzhen Zhang, Jeffrey Chan, Mahsa Salehi
2021 Misc conf
Does QA-based intermediate training help fine-tuning language models for text classification?
ALTA
Shiwei Zhang, Xiuzhen Zhang
2021 J jnl
Does QA-based intermediate training help fine-tuning language models for text classification?
CoRR
Shiwei Zhang, Xiuzhen Zhang
2021 — conf
Early Rumour Detection with Temporal Bidirectional Graph Convolutional Networks.
PACIS
H. Ruda Nie, Xiuzhen Zhang, Minyi Li, James Baglin, Anil Dolgun
2021 Misc conf
Evaluation of Review Summaries via Question-Answering.
ALTA
Nannan Huang, Xiuzhen Zhang
2021 Misc conf
Robustness Analysis of Grover for Machine-Generated News Detection.
ALTA
Rinaldo Gagiano, Maria Myung-Hee Kim, Xiuzhen Zhang, Jennifer Biggs
2021 — conf
Rumour Detection via Zero-Shot Cross-Lingual Transfer Learning.
ECML/PKDD (1)
Lin Tian, Xiuzhen Zhang, Jey Han Lau
2021 J jnl
Rumour Detection via Zero-shot Cross-lingual Transfer Learning.
CoRR
Lin Tian, Xiuzhen Zhang, Jey Han Lau
2021 — conf
Transformer-Based Multi-task Learning for Queuing Time Aware Next POI Recommendation.
PAKDD (2)
Sajal Halder, Kwan Hui Lim, Jeffrey Chan, Xiuzhen Zhang
2020 — conf
#DemocratsAreDestroyingAmerica: Rumour Analysis on Twitter During COVID-19.
CIKM (Workshops)
Lin Tian, Xiuzhen Zhang, Jey Han Lau
2020 J jnl
Beyond mean rating: Probabilistic aggregation of star ratings based on helpfulness.
J. Assoc. Inf. Sci. Technol.
Wenyi Tay, Xiuzhen Zhang, Sarvnaz Karimi
2020 — conf
Can helpful reviews help answer product questions?
PACIS
Tony Danhui Huang, Xiuzhen Zhang, Yongli Ren, Min Peng
2020 — conf
Early Detection of Rumours on Twitter via Stance Transfer Learning.
ECIR (1)
Lin Tian, Xiuzhen Zhang, Yan Wang, Huan Liu
2020 A* conf
Evaluation of Cross Domain Text Summarization.
SIGIR
Liam Scanlon, Shiwei Zhang, Xiuzhen Zhang, Mark Sanderson
2020 — conf
FakeFinder: Twitter Fake News Detection on Mobile.
WWW (Companion Volume)
Lin Tian, Xiuzhen Zhang, Min Peng
2020 J jnl
Generating multidimensional schemata from relational aggregation queries.
World Wide Web
Zheng Huo, Kerry Taylor, Xiuzhen Zhang, Suzhen Wang, Chaoyi Pang
2020 — conf
Less Is More: Rejecting Unreliable Reviews for Product Question Answering.
ECML/PKDD (3)
Shiwei Zhang, Xiuzhen Zhang, Jey Han Lau, Jeffrey Chan, Cécile Paris
2020 J jnl
Less is More: Rejecting Unreliable Reviews for Product Question Answering.
CoRR
Shiwei Zhang, Xiuzhen Zhang, Jey Han Lau, Jeffrey Chan, Cécile Paris
2020 — conf
MSReNet: Multi-step Reformulation for Open-Domain Question Answering.
NLPCC (2)
Weiguang Han, Min Peng, Qianqian Xie, Xiuzhen Zhang, Hua Wang
2020 B conf
Modelling User Influence and Rumor Propagation on Twitter using Hawkes Processes.
DSAA
H. Ruda Nie, Xiuzhen Zhang, Minyi Li, Anil Dolgun, James Baglin
2020 J jnl
Privacy concerns of the Australian My Health Record: Implications for other large-scale opt-out personal health records.
Inf. Process. Manag.
Patrick Cheong-Iao Pang, Dana McKay, Shanton Chang, Qingyu Chen, Xiuzhen Zhang, Lishan Cui
2020 — conf
RMIT at PAN-CLEF 2020: Profiling Fake News Spreaders on Twitter.
CLEF (Working Notes)
Xinhuan Duan, Elham Naghizade, Damiano Spina, Xiuzhen Zhang
2019 A* conf
Discovering Relevant Reviews for Answering Product-Related Queries.
ICDM
Shiwei Zhang, Jey Han Lau, Xiuzhen Zhang, Jeffrey Chan, Cécile Paris
2019 J jnl
Irony detection via sentiment-based transfer learning.
Inf. Process. Manag.
Shiwei Zhang, Xiuzhen Zhang, Jeffrey Chan, Paolo Rosso
2019 — conf
Learning Effective Representations from Sparse Mutlimodal Data on Content Curation Social Networks.
ICDM Workshops
Lifang Wu, Bowen Yang, Meng Jian, Xiuzhen Zhang, Heng Zhang, Xu Liu
2019 J jnl
Location impact on source and linguistic features for information credibility of social media.
Online Inf. Rev.
Suliman Aladhadh, Xiuzhen Zhang, Mark Sanderson
2019 Misc conf
Red-faced ROUGE: Examining the Suitability of ROUGE for Opinion Summary Evaluation.
ALTA
Wenyi Tay, Aditya Joshi, Xiuzhen Zhang, Sarvnaz Karimi, Stephen Wan
2019 J jnl
Search Effectiveness in Nonredundant Sequence Databases: Assessments and Solutions.
J. Comput. Biol.
Qingyu Chen, Xiuzhen Zhang, Yu Wan, Justin Zobel, Karin Verspoor
2019 J jnl
Social Big Data: Mining, Applications, and Beyond.
Complex.
Xiuzhen Zhang, Shuliang Wang, Gao Cong, Alfredo Cuzzocrea
2018 — conf
A Locally Adaptive Multi-Label k-Nearest Neighbor Algorithm.
PAKDD (1)
Dengbao Wang, Jingyuan Wang, Fei Hu, Li Li, Xiuzhen Zhang
2018 Misc conf
Behavioral Analysis of Users for Spammer Detection in a Multiplex Social Network.
AusDM
Tahereh Pourhabibi, Yee Ling Boo, Kok-Leong Ong, Booi Kam, Xiuzhen Zhang
2018 A conf
Big Social Data as a Service: A Service Composition Framework for Social Information Service Analysis.
ICWS
Kashif Ali, Margaret Hamilton, Charles Thevathayan, Xiuzhen Zhang
2018 J jnl
Comparative Analysis of Sequence Clustering Methods for Deduplication of Biological Databases.
ACM J. Data Inf. Qual.
Qingyu Chen, Yu Wan, Xiuzhen Zhang, Yang Lei, Justin Zobel, Karin Verspoor
2018 — conf
Extracting Label Importance Information for Multi-label Classification.
DASFAA (2)
Dengbao Wang, Li Li, Jingyuan Wang, Fei Hu, Xiuzhen Zhang
2018 — conf
Identifying Singleton Spammers via Spammer Group Detection.
PAKDD (1)
Dheeraj Kumar, Yassien Shaalan, Xiuzhen Zhang, Jeffrey Chan
2018 — conf
Learning to Rank Items of Minimal Reviews Using Weak Supervision.
PAKDD (1)
Yassien Shaalan, Xiuzhen Zhang, Jeffrey Chan
2018 — conf
Meta-Information as a Service: A Big Social Data Analysis Framework.
PACIS
Kashif Ali, Margaret Hamilton, Charles Thevathayan, Xiuzhen Zhang
2018 J jnl
Mining Event-Oriented Topics in Microblog Stream with Unsupervised Multi-View Hierarchical Embedding.
ACM Trans. Knowl. Discov. Data
Min Peng, Jiahui Zhu, Hua Wang, Xuhui Li, Yanchun Zhang, Xiuzhen Zhang, Gang Tian
2018 J jnl
Multi-perspective User2Vec: Exploiting re-pin activity for user representation learning in content curation social network.
Signal Process.
Haiying Liu, Lifang Wu, Dai Zhang, Meng Jian, Xiuzhen Zhang
2018 — conf
Neural Sparse Topical Coding.
ACL (1)
Min Peng, Qianqian Xie, Hua Wang, Yanchun Zhang, Xiuzhen Zhang, Jimin Huang, Gang Tian
2018 A conf
Social Information Services: A Service Oriented Analysis of Social Media.
ICWS
Kashif Ali, Margaret Hamilton, Charles Thevathayan, Xiuzhen Zhang
2018 Misc conf
Social-Textual Query Processing on Graph Database Systems.
ADC
Oshini Goonetilleke, Timos Sellis, Xiuzhen Zhang
2017 Misc conf
A Word-Character Convolutional Neural Network for Language-Agnostic Twitter Sentiment Analysis.
ADCS
Shiwei Zhang, Xiuzhen Zhang, Jeffrey Chan
2017 J jnl
A probabilistic method for emerging topic tracking in Microblog stream.
World Wide Web
Jiajia Huang, Min Peng, Hua Wang, Jinli Cao, Wang Gao, Xiuzhen Zhang
2017 — conf
Beyond the Culture Effect on Credibility Perception on Microblogs.
SocInfo (2)
Suliman Aladhadh, Xiuzhen Zhang, Mark Sanderson
2017 J jnl
CDS: Collaborative distant supervision for Twitter account classification.
Expert Syst. Appl.
Lishan Cui, Xiuzhen Zhang, A. K. Qin, Timos Sellis, Lifang Wu
2017 — conf
Change Detection from Media Sharing Community.
APWeb/WAIM (1)
Naoki Kito, Xiangmin Zhou, Dong Qin, Yongli Ren, Xiuzhen Zhang, James A. Thom
2017 — conf
Detection of Money Laundering Groups: Supervised Learning on Small Networks.
AAAI Workshops
David Savage, Qingmai Wang, Xiuzhen Zhang, Pauline Chou, Xinghuo Yu
2017 J jnl
Distributed Mining of Contrast Patterns.
IEEE Trans. Parallel Distributed Syst.
David Savage, Xiuzhen Zhang, Pauline Chou, Xinghuo Yu, Qingmai Wang
2017 J jnl
KRNN: k Rare-class Nearest Neighbour classification.
Pattern Recognit.
Xiuzhen Zhang, Yuxuan Li, Kotagiri Ramamohanarao, Lifang Wu, Zahir Tari, Mohamed Cheriet
2017 C conf
Language-Independent Twitter Classification Using Character-Based Convolutional Networks.
ADMA
Shiwei Zhang, Xiuzhen Zhang, Jeffrey Chan
2017 J jnl
MLLDA: Multi-level LDA for modelling users on content curation social networks.
Neurocomputing
Lifang Wu, Dan Wang, Xiuzhen Zhang, Shuang Liu, Lei Zhang, Chang Wen Chen
2017 J jnl
On the credibility perception of news on Twitter: Readers, topics and features.
Comput. Hum. Behav.
Shafiza Mohd Shariff, Xiuzhen Zhang, Mark Sanderson
2017 B conf
Reducing noisy labels in weakly labeled data for visual sentiment analysis.
ICIP
Lifang Wu, Shuang Liu, Meng Jian, Jiebo Luo, Xiuzhen Zhang, Mingchao Qi
2017 — conf
Sequence Clustering Methods and Completeness of Biological Database Search.
BAI@IJCAI
Qingyu Chen, Xiuzhen Zhang, Yu Wan, Justin Zobel, Karin Verspoor
2016 Misc conf
A Time and Opinion Quality-Weighted Model for Aggregating Online Reviews.
ADC
Yassien Shaalan, Xiuzhen Zhang
2016 J jnl
Anomaly detection in online social networks.
CoRR
David Savage, Xiuzhen Zhang, Xinghuo Yu, Pauline Lienhua Chou, Qingmai Wang
2016 Misc conf
Automatic Labelling of Topics via Analysis of User Summaries.
ADC
Lishan Cui, Xiuzhen Zhang, Amanda Kimpton, Daryl J. D'Souza
2016 A conf
Correlation Analysis of Reader's Demographics and Tweet Credibility Perception.
ECIR
Shafiza Mohd Shariff, Mark Sanderson, Xiuzhen Zhang
2016 J jnl
Detection of money laundering groups using supervised learning in networks.
CoRR
David Savage, Qingmai Wang, Pauline Lienhua Chou, Xiuzhen Zhang, Xinghuo Yu
2016 J jnl
Detection of opinion spam based on anomalous rating deviation.
CoRR
David Savage, Xiuzhen Zhang, Xinghuo Yu, Pauline Lienhua Chou, Qingmai Wang
2016 — conf
Power usage spike detection using smart meter data for load profiling.
ISIE
Qingmai Wang, Xinghuo Yu, Pauline Lienhua Chou, David Savage, Xiuzhen Zhang, Jiangxia Zhong
2016 A* conf
Quit While Ahead: Evaluating Truncated Rankings.
SIGIR
Fei Liu, Alistair Moffat, Timothy Baldwin, Xiuzhen Zhang
2016 — conf
Recommending Followees Based on Content Weighted User Interest Homophily.
ICIMCS
Lifang Wu, Dai Zhang, Xiuzhen Zhang, Yuchen Jing, Haiying Liu, Chang Wen Chen
2016 Misc conf
Topical Event Detection on Twitter.
ADC
Lishan Cui, Xiuzhen Zhang, Xiangmin Zhou, Flora D. Salim
2015 — conf
Anytime Concurrent Clustering of Multiple Streams with an Indexing Tree.
BigMine
Zhinoos Razavi Hesabi, Timos K. Sellis, Xiuzhen Zhang
2015 J jnl
Detection of opinion spam based on anomalous rating deviation.
Expert Syst. Appl.
David Savage, Xiuzhen Zhang, Xinghuo Yu, Pauline Lienhua Chou, Qingmai Wang
2015 — conf
Microblogging Queries on Graph Databases: An Introspection.
GRADES@SIGMOD/PODS
Oshini Goonetilleke, Saket Sathe, Timos K. Sellis, Xiuzhen Zhang
2015 J jnl
ReputationPro: The Efficient Approaches to Contextual Transaction Trust Computation in E-Commerce Environments.
ACM Trans. Web
Haibin Zhang, Yan Wang, Xiuzhen Zhang, Ee-Peng Lim
2014 Misc conf
Analysing User Access To An Online Newspaper.
ADCS
Husna Sarirah Husin, James A. Thom, Xiuzhen Zhang
2014 J jnl
Anomaly detection in online social networks.
Soc. Networks
David Savage, Xiuzhen Zhang, Xinghuo Yu, Pauline Chou, Qingmai Wang
2014 — conf
Ant Colony Clustering Approach Combined with Multilevel Framework for Functional Module Detection in Large-Scale PPI Networks.
WI-IAT (3)
Hongxin Liu, Junzhong Ji, Cuicui Yang, Jia Wei Lv, Xiuzhen Zhang
2014 B conf
Ant colony clustering based on sampling for community detection.
IEEE Congress on Evolutionary Computation
Xiangjing Song, Junzhong Ji, Cuicui Yang, Xiuzhen Zhang
2014 J jnl
CommTrust: Computing Multi-Dimensional Trust by Mining E-Commerce Feedback Comments.
IEEE Trans. Knowl. Data Eng.
Xiuzhen Zhang, Lishan Cui, Yan Wang
2014 A conf
Recommendation on Flickr by combining community user ratings and item importance.
ICME
Yuchen Jing, Xiuzhen Zhang, Lifang Wu, Jinqiao Wang, Zemeng Feng, Dan Wang
2014 J jnl
Semantic aware sport image resizing jointly using seam carving and warping.
Multim. Tools Appl.
Lifang Wu, Yu Gong, Xingdi Yuan, Xiuzhen Zhang, Lianchao Cao
2014 Misc conf
Sentiment Analysis on Twitter through Topic-Based Lexicon Expansion.
ADC
Zhixin Zhou, Xiuzhen Zhang, Mark Sanderson
2014 J jnl
The approaches to contextual transaction trust computation in e-Commerce environments.
Secur. Commun. Networks
Haibin Zhang, Yan Wang, Xiuzhen Zhang
2014 Misc conf
Tweet Author Location Impacts on Tweet Credibility.
ADCS
Suliman Aladhadh, Xiuzhen Zhang, Mark Sanderson
2014 J jnl
Twitter analytics: a big data management perspective.
SIGKDD Explor.
Oshini Goonetilleke, Timos K. Sellis, Xiuzhen Zhang, Saket Sathe
2014 A conf
User Perception of Information Credibility of News on Twitter.
ECIR
Shafiza Mohd Shariff, Xiuzhen Zhang, Mark Sanderson
2013 — conf
A Connectionist Model-Based Approach to Centrality Discovery in Social Networks.
BSI@PAKDD/BSIC@IJCAI
Qingmai Wang, Xinghuo Yu, Xiuzhen Zhang
2013 — conf
A Positive-biased Nearest Neighbour Algorithm for Imbalanced Classification.
PAKDD (2)
Xiuzhen Zhang, Yuxuan Li
2013 — conf
Complete Pose Binary SIFT for Face Recognition with Pose Variation.
CCBR
Lifang Wu, Peng Zhou, Yaxi Hou, Hangming Cao, Xiaojing Ma, Xiuzhen Zhang
2013 — conf
Mining E-Commerce Feedback Comments for Dimension Rating Profiles.
ADMA (1)
Lishan Cui, Xiuzhen Zhang, Yan Wang, Lifang Wu
2013 — ch.
Overview and Analysis of Contrast Pattern Based Classification.
Contrast Data Mining
Xiuzhen Zhang, Guozhu Dong
2012 — conf
A Face Authentication Scheme Based on Affine-SIFT (ASIFT) and Structural Similarity (SSIM).
CCBR
Lifang Wu, Peng Zhou, Shuqin Liu, Xiuzhen Zhang, Emanuele Trucco
2012 — conf
A trust vector approach to transaction context-aware trust evaluation in e-commerce and e-service environments.
SOCA
Haibin Zhang, Yan Wang, Xiuzhen Zhang
2012 B conf
Efficient Contextual Transaction Trust Computation in E-commerce Environments.
TrustCom
Haibin Zhang, Yan Wang, Xiuzhen Zhang
2012 B conf
Sentiment Analysis by Augmenting Expectation Maximisation with Lexical Knowledge.
WISE
Xiuzhen Zhang, Yun Zhou, James Bailey, Kotagiri Ramamohanarao
2012 Misc conf
Sentiment classification of blog posts using topical extracts.
ADC
Zhixin Zhou, Xiuzhen Zhang, Phil Vines
2011 Misc conf
An Empirical Study of Learning from Imbalanced Data.
ADC
Xiuzhen Zhang, Yuxuan Li
2011 C conf
Enforcing strictness in integration of dimensions: beyond instance matching.
DOLAP
Dariush Riazati, James A. Thom, Xiuzhen Zhang
2011 B conf
Holistic Approaches to Identifying the Sentiment of Blogs Using Opinion Words.
WISE
Xiuzhen Zhang, Yun Zhou
2011 — conf
Improving
PAKDD (2)
Yuxuan Li, Xiuzhen Zhang
2011 A conf
Transaction Similarity-Based Contextual Trust Evaluation in E-Commerce and E-Service Environments.
ICWS
Haibin Zhang, Yan Wang, Xiuzhen Zhang
2010 — conf
A semantic aware image retargeting scheme combining seam carving and non-homogeneous warping.
ICIMCS
Yu Gong, Lifang Wu, Xiuzhen Zhang
2010 — conf
Inferring Aggregation Hierarchies for Integration of Data Marts.
DEXA (2)
Dariush Riazati, James A. Thom, Xiuzhen Zhang
2010 — conf
RMIT at TREC 2010 Blog Track: Faceted Blog Distillation Task.
TREC
Zhixin Zhou, Xiuzhen Zhang, Phil Vines
2010 — conf
The Melbourne Team at the TREC 2010 Legal Track.
TREC
William Webber, Falk Scholer, Mingfang Wu, Xiuzhen Zhang, Douglas W. Oard, Phil Farrelly, Sandra Potter, Steven Dick, Phill Bertolus
2009 J jnl
Large-scale prediction of long disordered regions in proteins using random forests.
BMC Bioinform.
Pengfei Han, Xiuzhen Zhang, Raymond S. Norton, Zhi-Ping Feng
2009 J jnl
Predicting disordered regions in proteins using the profiles of amino acid indices.
BMC Bioinform.
Pengfei Han, Xiuzhen Zhang, Zhi-Ping Feng
2008 Misc conf
Drill Across and Visualization of Cubes with Non-conformed Dimensions.
ADC
Dariush Riazati, James A. Thom, Xiuzhen Zhang
2008 Misc conf
The Efficient Maintenance of Access Roles with Role Hiding.
COMAD
Chaoyi Pang, Xiuzhen Zhang, Yanchun Zhang, Kotagiri Ramamohanarao
2007 Misc conf
Building a Disordered Protein Database: A Case Study in Managing Biological Data.
ADC
Arran D. Stewart, Xiuzhen Zhang
2007 J jnl
Comments on "Data Mining Static Code Attributes to Learn Defect Predictors".
IEEE Trans. Software Eng.
Hongyu Zhang, Xiuzhen Zhang
2007 J jnl
Efficient Computation of Iceberg Cubes by Bounding Aggregate Functions.
IEEE Trans. Knowl. Data Eng.
Xiuzhen Zhang, Pauline Lienhua Chou, Guozhu Dong
2007 C conf
Predicting Defective Software Components from Code Complexity Measures.
PRDC
Hongyu Zhang, Xiuzhen Zhang, Ming Gu
2007 B conf
Reducing Overfitting in Predicting Intrinsically Unstructured Proteins.
PAKDD
Pengfei Han, Xiuzhen Zhang, Raymond S. Norton, Zhi-Ping Feng
2006 B conf
Computing Iceberg Quotient Cubes with Bounding.
DaWaK
Xiuzhen Zhang, Pauline Lienhua Chou, Kotagiri Ramamohanarao
2006 C conf
Multiway Pruning for Efficient Iceberg Cubing.
DEXA
Xiuzhen Zhang, Pauline Lienhua Chou
2006 J jnl
Predicting Disordered Regions in Proteins Based on Decision Trees of Reduced Amino Acid Composition.
J. Comput. Biol.
Pengfei Han, Xiuzhen Zhang, Raymond S. Norton, Zhi-Ping Feng
2006 J jnl
Predicting Disordered Regions in Proteins Based on Decision Trees of Reduced Amino Acid Composition.
J. Comput. Biol.
Pengfei Han, Xiuzhen Zhang, Raymond S. Norton, Zhi-Ping Feng
2005 B conf
Multiway Iceberg Cubing on Trees.
WISE
Pauline Lienhua Chou, Xiuzhen Zhang
2004 B conf
Computing Complex Iceberg Cubes by Multiway Aggregation and Bounding.
DaWaK
Pauline Lienhua Chou, Xiuzhen Zhang
2004 C conf
Efficient Frequent Pattern Mining on Web Logs.
APWeb
Liping Sun, Xiuzhen Zhang
2004 B conf
Generating Multidimensional Schemata from Relational Aggregation Queries.
WISE
Chaoyi Pang, Kerry L. Taylor, Xiuzhen Zhang, Mark A. Cameron
2003 B conf
Efficiently Computing Iceberg Cubes with Complex Constraints through Bounding.
PAKDD
Pauline Lienhua Chou, Xiuzhen Zhang
2003 — conf
Efficiently Computing the Top N Averages in Iceberg Cubes.
ACSC
Pauline Lienhua Chou, Xiuzhen Zhang
2003 — conf
Noise Tolerance of EP-Based Classifiers.
Australian Conference on Artificial Intelligence
Qun Sun, Xiuzhen Zhang, Kotagiri Ramamohanarao
2001 B conf
Building Behaviour Knowledge Space to Make Classification Decision.
PAKDD
Xiuzhen Zhang, Guozhu Dong, Kotagiri Ramamohanarao
2000 A* conf
Exploring constraints to efficiently mine emerging patterns from large high-dimensional datasets.
KDD
Xiuzhen Zhang, Guozhu Dong, Kotagiri Ramamohanarao
2000 C conf
Information-Based Classification by Aggregating Emerging Patterns.
IDEAL
Xiuzhen Zhang, Guozhu Dong, Kotagiri Ramamohanarao
2000 J jnl
Translating update operations from relational to object-oriented databases.
Inf. Softw. Technol.
Xiuzhen Zhang, Joseph Fong
1999 B conf
CAEP: Classification by Aggregating Emerging Patterns.
Discovery Science
Guozhu Dong, Xiuzhen Zhang, Limsoon Wong, Jinyan Li
1999 — conf
Efficient Mining of High Confidience Association Rules without Support Thresholds.
PKDD
Jinyan Li, Xiuzhen Zhang, Guozhu Dong, Kotagiri Ramamohanarao, Qun Sun
1999 J jnl
Transforming RDB schema into well-structured OODB schema.
Inf. Softw. Technol.
Xiuzhen Zhang, Yanchun Zhang, Joseph Fong, Xiaohua Jia
1996 — conf
A Distributed Object Database's Basic Design Issues.
International Hong Kong Computer Society Database Workshop
Xiuzhen Zhang, Joseph Fong