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ORCIDXiuzhen Zhang 0001
Xiuzhen Jenny Zhang
Person information
- affiliation: RMIT University, Melbourne, VIC, Australia
Other persons with the same name
- Xiuzhen Zhang 0002 — ShanghaiTech University, Shanghai, China
- Xiuzhen Zhang 0003 — East China Normal University, Shanghai, China
- Xiuzhen Zhang 0004 — Shanxi Datong University, Datong, Shanxi, China
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2020 – today
- 2024
[j44]Sajal Halder
, Kwan Hui Lim, Jeffrey Chan, Xiuzhen Zhang:
A survey on personalized itinerary recommendation: From optimisation to deep learning. Appl. Soft Comput. 152: 111200 (2024)- [j43]Shoujin Wang, Xiuzhen Zhang, Yan Wang, Francesco Ricci:
Trustworthy Recommender Systems. ACM Trans. Intell. Syst. Technol. 15(4): 84:1-84:20 (2024) - [c113]Xiaofei Xu, Ke Deng, Michael Dann, Xiuzhen Zhang:
Harnessing Network Effect for Fake News Mitigation: Selecting Debunkers via Self-Imitation Learning. AAAI 2024: 22447-22456 - [c112]An Quang Tang, Xiuzhen Zhang, Minh Ngoc Dinh, Erik Cambria:
Prompted Aspect Key Point Analysis for Quantitative Review Summarization. ACL (1) 2024: 10691-10708 - [c111]An Quang Tang, Xiuzhen Zhang, Minh Ngoc Dinh:
IgnitionInnovators at "Discharge Me!": Chain-of-Thought Instruction Finetuning Large Language Models for Discharge Summaries. BioNLP@ACL 2024: 731-739 - [c110]Lin Tian, Nannan Huang, Xiuzhen Zhang:
Large Language Model Cascades and Persona-Based In-Context Learning for Multilingual Sexism Detection. CLEF (1) 2024: 254-265 - [c109]Xuankai Yang, Yan Wang, Xiuzhen Zhang, Shoujin Wang, Huaxiong Wang, Kwok-Yan Lam:
UPDATE: Mining User-News Engagement Patterns for Dual-Target Cross-Domain Fake News Detection. DSAA 2024: 1-10 - [c108]Nannan Huang, Haytham Fayek, Xiuzhen Zhang:
Bias in Opinion Summarisation from Pre-training to Adaptation: A Case Study in Political Bias. EACL (1) 2024: 1041-1055 - [c107]An Quang Tang, Xiuzhen Zhang, Minh Ngoc Dinh:
Aspect-based Key Point Analysis for Quantitative Summarization of Reviews. EACL (Findings) 2024: 1419-1433 - [c106]Lin Tian, Xiuzhen Zhang, Jey Han Lau:
CMA-R: Causal Mediation Analysis for Explaining Rumour Detection. EACL (Findings) 2024: 1667-1675 - [c105]Renqiang Luo, Huafei Huang, Shuo Yu, Xiuzhen Zhang, Feng Xia:
FairGT: A Fairness-aware Graph Transformer. IJCAI 2024: 449-457 - [c104]Tony Danhui Huang, Yongli Ren, Lifang Wu, Xiuzhen Zhang:
Reference-free review-based product question answering evaluation via distant contrastive learning. IJCNN 2024: 1-8 - [c103]Renqiang Luo, Huafei Huang, Shuo Yu, Zhuoyang Han, Estrid He, Xiuzhen Zhang, Feng Xia:
FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks. KDD 2024: 2072-2081 - [c102]Shoujin Wang, Wentao Wang, Xiuzhen Zhang, Yan Wang, Huan Liu, Fang Chen:
A Hierarchical and Disentangling Interest Learning Framework for Unbiased and True News Recommendation. KDD 2024: 3200-3211 - [c101]Zhen Qian, Xiaofei Xu, Xiuzhen Zhang:
ZXQ at SemEval-2024 Task 7: Fine-tuning GPT-3.5-Turbo for Numerical Reasoning. SemEval@NAACL 2024: 218-223 - [c100]Vy Nguyen, Xiuzhen Zhang:
GAVx at SemEval-2024 Task 10: Emotion Flip Reasoning via Stacked Instruction Finetuning of LLMs. SemEval@NAACL 2024: 326-336 - [i23]Nannan Huang, Haytham Fayek, Xiuzhen Zhang:
Bias in Opinion Summarisation from Pre-training to Adaptation: A Case Study in Political Bias. CoRR abs/2402.00322 (2024) - [i22]Xiaofei Xu, Ke Deng, Michael Dann, Xiuzhen Zhang:
Harnessing Network Effect for Fake News Mitigation: Selecting Debunkers via Self-Imitation Learning. CoRR abs/2402.03357 (2024) - [i21]Lin Tian, Xiuzhen Zhang, Jey Han Lau:
CMA-R: Causal Mediation Analysis for Explaining Rumour Detection. CoRR abs/2402.08155 (2024) - [i20]Jin Li, Shoujin Wang, Qi Zhang, Longbing Cao, Fang Chen, Xiuzhen Zhang, Dietmar Jannach, Charu C. Aggarwal:
Causal Learning for Trustworthy Recommender Systems: A Survey. CoRR abs/2402.08241 (2024) - [i19]Renqiang Luo, Huafei Huang, Shuo Yu, Xiuzhen Zhang, Feng Xia:
FairGT: A Fairness-aware Graph Transformer. CoRR abs/2404.17169 (2024) - [i18]Renqiang Luo, Huafei Huang, Shuo Yu, Zhuoyang Han, Estrid He, Xiuzhen Zhang, Feng Xia:
FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks. CoRR abs/2405.17034 (2024) - [i17]An Quang Tang, Xiuzhen Zhang, Minh Ngoc Dinh, Erik Cambria:
Prompted Aspect Key Point Analysis for Quantitative Review Summarization. CoRR abs/2407.14049 (2024) - [i16]An Quang Tang, Xiuzhen Zhang, Minh Ngoc Dinh:
IgnitionInnovators at "Discharge Me!": Chain-of-Thought Instruction Finetuning Large Language Models for Discharge Summaries. CoRR abs/2407.17636 (2024) - [i15]Zhenyue Qin, Yu Yin, Dylan Campbell, Xuansheng Wu, Ke Zou, Yih-Chung Tham, Ninghao Liu, Xiuzhen Zhang, Qingyu Chen:
LMOD: A Large Multimodal Ophthalmology Dataset and Benchmark for Large Vision-Language Models. CoRR abs/2410.01620 (2024) - 2023
- [j42]Sajal Halder, Kwan Hui Lim, Jeffrey Chan, Xiuzhen Zhang:
Capacity-aware fair POI recommendation combining transformer neural networks and resource allocation policy. Appl. Soft Comput. 147: 110720 (2023) - [j41]Tabinda Sarwar, Sattar Seifollahi, Jeffrey Chan, Xiuzhen Zhang, Vural Aksakalli, Irene Lena Hudson, Karin Verspoor, Lawrence Cavedon:
The Secondary Use of Electronic Health Records for Data Mining: Data Characteristics and Challenges. ACM Comput. Surv. 55(2): 33:1-33:40 (2023) - [j40]Romina Sharifpour, Mingfang Wu, Xiuzhen Zhang:
Large-scale analysis of query logs to profile users for dataset search. J. Documentation 79(1): 66-85 (2023) - [j39]Shoujin Wang, Yan Wang, Liang Hu, Xiuzhen Zhang, Qi Zhang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Defu Lian:
Modeling User Demand Evolution for Next-Basket Prediction. IEEE Trans. Knowl. Data Eng. 35(11): 11585-11598 (2023) - [c99]Lin Tian, Nannan Huang, Xiuzhen Zhang:
Efficient Multilingual Sexism Detection via Large Language Model Cascades. CLEF (Working Notes) 2023: 1083-1090 - [c98]Lin Tian, Xiuzhen Zhang, Maria Myung-Hee Kim, Jennifer Biggs:
Task and Sentiment Adaptation for Appraisal Tagging. EACL 2023: 1952-1962 - [c97]Rinaldo Gagiano, Haytham Fayek, Maria Myung-Hee Kim, Jennifer Biggs, Xiuzhen Zhang:
IberLEF 2023 AuTexTification: Automated Text Identification Shared Task - Team OD-21. IberLEF@SEPLN 2023 - [c96]Lin Tian, Xiuzhen Zhang, Maria Myung-Hee Kim, Jennifer Biggs:
Efficient Text-based Propaganda Detection via Language Model Cascades. IberLEF@SEPLN 2023 - [c95]Nannan Huang, Lin Tian, Haytham Fayek, Xiuzhen Zhang:
Examining Bias in Opinion Summarisation through the Perspective of Opinion Diversity. WASSA@ACL 2023: 149-161 - [c94]Lin Tian, Xiuzhen Zhang, Jey Han Lau:
MetaTroll: Few-shot Detection of State-Sponsored Trolls with Transformer Adapters. WWW 2023: 1743-1753 - [i14]Lin Tian, Xiuzhen Zhang, Jey Han Lau:
MetaTroll: Few-shot Detection of State-Sponsored Trolls with Transformer Adapters. CoRR abs/2303.07354 (2023) - [i13]Nannan Huang, Lin Tian, Haytham Fayek, Xiuzhen Zhang:
Examining Bias in Opinion Summarisation Through the Perspective of Opinion Diversity. CoRR abs/2306.04424 (2023) - [i12]Sishun Liu, Ke Deng, Xiuzhen Zhang, Yongli Ren:
Intensity-free Integral-based Learning of Marked Temporal Point Processes. CoRR abs/2308.02360 (2023) - [i11]Shiwei Zhang, Mingfang Wu, Xiuzhen Zhang:
Utilising a Large Language Model to Annotate Subject Metadata: A Case Study in an Australian National Research Data Catalogue. CoRR abs/2310.11318 (2023) - [i10]Sishun Liu, Ke Deng, Yan Wang, Xiuzhen Zhang:
Explainable History Distillation by Marked Temporal Point Process. CoRR abs/2311.07797 (2023) - 2022
- [j38]Sajal Halder, Kwan Hui Lim, Jeffrey Chan, Xiuzhen Zhang:
POI recommendation with queuing time and user interest awareness. Data Min. Knowl. Discov. 36(6): 2379-2409 (2022) - [j37]Anastasia Giachanou, Xiuzhen Zhang, Alberto Barrón-Cedeño, Olessia Koltsova, Paolo Rosso:
Online information disorder: fake news, bots and trolls. Int. J. Data Sci. Anal. 13(4): 265-269 (2022) - [j36]Anastasia Giachanou, Xiuzhen Zhang, Alberto Barrón-Cedeño, Olessia Koltsova, Paolo Rosso:
Correction to: Online information disorder: fake news, bots and trolls. Int. J. Data Sci. Anal. 14(4): 457 (2022) - [j35]Husna Sarirah Husin, James A. Thom, Xiuzhen Zhang:
Evolution of user navigation behavior for online news. Int. J. Web Inf. Syst. 18(1): 1-22 (2022) - [j34]Kashif Ali, Margaret Hamilton, Charles Thevathayan, Xiuzhen Zhang:
Big social data as a service (BSDaaS): a service composition framework for social media analysis. J. Big Data 9(1): 64 (2022) - [j33]Sajal Halder, Kwan Hui Lim, Jeffrey Chan, Xiuzhen Zhang:
Efficient itinerary recommendation via personalized POI selection and pruning. Knowl. Inf. Syst. 64(4): 963-993 (2022) - [c93]H. Ruda Nie, Xiuzhen Zhang, Minyi Li, Anil Dolgun:
Mitigation of Rumours in Social Networks via Epidemic Model-based Reinforcement Learning. DSAA 2022: 1-10 - [c92]Shoujin Wang, Ninghao Liu, Xiuzhen Zhang, Yan Wang, Francesco Ricci, Bamshad Mobasher:
Data Science and Artificial Intelligence for Responsible Recommendations. KDD 2022: 4904-4905 - [c91]Lin Tian, Xiuzhen Zhang, Jey Han Lau:
DUCK: Rumour Detection on Social Media by Modelling User and Comment Propagation Networks. NAACL-HLT 2022: 4939-4949 - [c90]Shoujin Wang, Qi Zhang, Liang Hu, Xiuzhen Zhang, Yan Wang, Charu Aggarwal:
Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities. SIGIR 2022: 3425-3428 - [c89]Xiaofei Xu, Ke Deng, Xiuzhen Zhang:
Identifying Cost-effective Debunkers for Multi-stage Fake News Mitigation Campaigns. WSDM 2022: 1206-1214 - [c88]Shoujin Wang, Xiaofei Xu, Xiuzhen Zhang, Yan Wang, Wenzhuo Song:
Veracity-aware and Event-driven Personalized News Recommendation for Fake News Mitigation. WWW 2022: 3673-3684 - [i9]Xiaofei Xu, Ke Deng, Xiuzhen Zhang:
Identifying Cost-effective Debunkers for Multi-stage Fake News Mitigation Campaigns. CoRR abs/2203.16854 (2022) - [i8]Shoujin Wang, Qi Zhang, Liang Hu, Xiuzhen Zhang, Yan Wang, Charu Aggarwal:
Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities. CoRR abs/2205.10759 (2022) - [i7]Shoujin Wang, Xiuzhen Zhang, Yan Wang, Huan Liu, Francesco Ricci:
Trustworthy Recommender Systems. CoRR abs/2208.06265 (2022) - 2021
- [j32]Yassien Shaalan, Xiuzhen Zhang, Jeffrey Chan, Mahsa Salehi:
Detecting singleton spams in reviews via learning deep anomalous temporal aspect-sentiment patterns. Data Min. Knowl. Discov. 35(2): 450-504 (2021) - [c87]H. Ruda Nie, Xiuzhen Zhang, Minyi Li, James Baglin, Anil Dolgun:
Early Rumour Detection with Temporal Bidirectional Graph Convolutional Networks. PACIS 2021: 74 - [c86]Sajal Halder, Kwan Hui Lim, Jeffrey Chan, Xiuzhen Zhang:
Transformer-Based Multi-task Learning for Queuing Time Aware Next POI Recommendation. PAKDD (2) 2021: 510-523 - [c85]Lin Tian, Xiuzhen Zhang, Jey Han Lau:
Rumour Detection via Zero-Shot Cross-Lingual Transfer Learning. ECML/PKDD (1) 2021: 603-618 - [i6]Lin Tian, Xiuzhen Zhang, Jey Han Lau:
Rumour Detection via Zero-shot Cross-lingual Transfer Learning. CoRR abs/2109.12773 (2021) - [i5]Shiwei Zhang, Xiuzhen Zhang:
Does QA-based intermediate training help fine-tuning language models for text classification? CoRR abs/2112.15051 (2021) - 2020
- [j31]Patrick Cheong-Iao Pang, Dana McKay, Shanton Chang, Qingyu Chen, Xiuzhen Zhang, Lishan Cui:
Privacy concerns of the Australian My Health Record: Implications for other large-scale opt-out personal health records. Inf. Process. Manag. 57(6): 102364 (2020) - [j30]Wenyi Tay, Xiuzhen Zhang, Sarvnaz Karimi:
Beyond mean rating: Probabilistic aggregation of star ratings based on helpfulness. J. Assoc. Inf. Sci. Technol. 71(7): 784-799 (2020) - [j29]Zheng Huo, Kerry Taylor, Xiuzhen Zhang, Suzhen Wang, Chaoyi Pang:
Generating multidimensional schemata from relational aggregation queries. World Wide Web 23(1): 337-359 (2020) - [c84]Lin Tian, Xiuzhen Zhang, Jey Han Lau:
#DemocratsAreDestroyingAmerica: Rumour Analysis on Twitter During COVID-19. CIKM (Workshops) 2020 - [c83]Xinhuan Duan, Elham Naghizade, Damiano Spina, Xiuzhen Zhang:
RMIT at PAN-CLEF 2020: Profiling Fake News Spreaders on Twitter. CLEF (Working Notes) 2020 - [c82]H. Ruda Nie, Xiuzhen Zhang, Minyi Li, Anil Dolgun, James Baglin:
Modelling User Influence and Rumor Propagation on Twitter using Hawkes Processes. DSAA 2020: 637-646 - [c81]Lin Tian, Xiuzhen Zhang, Yan Wang, Huan Liu:
Early Detection of Rumours on Twitter via Stance Transfer Learning. ECIR (1) 2020: 575-588 - [c80]Weiguang Han, Min Peng, Qianqian Xie, Xiuzhen Zhang, Hua Wang:
MSReNet: Multi-step Reformulation for Open-Domain Question Answering. NLPCC (2) 2020: 292-304 - [c79]Tony Danhui Huang, Xiuzhen Zhang, Yongli Ren, Min Peng:
Can helpful reviews help answer product questions? PACIS 2020: 4 - [c78]Shiwei Zhang, Xiuzhen Zhang, Jey Han Lau, Jeffrey Chan, Cécile Paris:
Less Is More: Rejecting Unreliable Reviews for Product Question Answering. ECML/PKDD (3) 2020: 567-583 - [c77]Liam Scanlon, Shiwei Zhang, Xiuzhen Zhang, Mark Sanderson:
Evaluation of Cross Domain Text Summarization. SIGIR 2020: 1853-1856 - [c76]Lin Tian, Xiuzhen Zhang, Min Peng:
FakeFinder: Twitter Fake News Detection on Mobile. WWW (Companion Volume) 2020: 79-80 - [i4]Shiwei Zhang, Xiuzhen Zhang, Jey Han Lau, Jeffrey Chan, Cécile Paris:
Less is More: Rejecting Unreliable Reviews for Product Question Answering. CoRR abs/2007.04526 (2020)
2010 – 2019
- 2019
- [j28]Xiuzhen Zhang, Shuliang Wang, Gao Cong, Alfredo Cuzzocrea:
Social Big Data: Mining, Applications, and Beyond. Complex. 2019: 2059075:1-2059075:2 (2019) - [j27]Shiwei Zhang, Xiuzhen Zhang, Jeffrey Chan, Paolo Rosso:
Irony detection via sentiment-based transfer learning. Inf. Process. Manag. 56(5): 1633-1644 (2019) - [j26]Qingyu Chen, Xiuzhen Zhang, Yu Wan, Justin Zobel, Karin Verspoor:
Search Effectiveness in Nonredundant Sequence Databases: Assessments and Solutions. J. Comput. Biol. 26(6): 605-617 (2019) - [j25]Suliman Aladhadh, Xiuzhen Zhang, Mark Sanderson:
Location impact on source and linguistic features for information credibility of social media. Online Inf. Rev. 43(1): 89-112 (2019) - [c75]Wenyi Tay, Aditya Joshi, Xiuzhen Zhang, Sarvnaz Karimi, Stephen Wan:
Red-faced ROUGE: Examining the Suitability of ROUGE for Opinion Summary Evaluation. ALTA 2019: 52-60 - [c74]Lifang Wu, Bowen Yang, Meng Jian, Xiuzhen Zhang, Heng Zhang, Xu Liu:
Learning Effective Representations from Sparse Mutlimodal Data on Content Curation Social Networks. ICDM Workshops 2019: 665-672 - [c73]Shiwei Zhang, Jey Han Lau, Xiuzhen Zhang, Jeffrey Chan, Cécile Paris:
Discovering Relevant Reviews for Answering Product-Related Queries. ICDM 2019: 1468-1473 - 2018
- [j24]Qingyu Chen, Yu Wan, Xiuzhen Zhang, Yang Lei, Justin Zobel, Karin Verspoor:
Comparative Analysis of Sequence Clustering Methods for Deduplication of Biological Databases. ACM J. Data Inf. Qual. 9(3): 17 (2018) - [j23]Haiying Liu, Lifang Wu, Dai Zhang, Meng Jian, Xiuzhen Zhang:
Multi-perspective User2Vec: Exploiting re-pin activity for user representation learning in content curation social network. Signal Process. 142: 450-456 (2018) - [j22]Min Peng, Jiahui Zhu, Hua Wang, Xuhui Li, Yanchun Zhang, Xiuzhen Zhang, Gang Tian:
Mining Event-Oriented Topics in Microblog Stream with Unsupervised Multi-View Hierarchical Embedding. ACM Trans. Knowl. Discov. Data 12(3): 38:1-38:26 (2018) - [c72]Min Peng, Qianqian Xie, Hua Wang, Yanchun Zhang, Xiuzhen Zhang, Jimin Huang, Gang Tian:
Neural Sparse Topical Coding. ACL (1) 2018: 2332-2340 - [c71]Oshini Goonetilleke, Timos Sellis, Xiuzhen Zhang:
Social-Textual Query Processing on Graph Database Systems. ADC 2018: 68-80 - [c70]Tahereh Pourhabibi, Yee Ling Boo, Kok-Leong Ong, Booi Kam, Xiuzhen Zhang:
Behavioral Analysis of Users for Spammer Detection in a Multiplex Social Network. AusDM 2018: 228-240 - [c69]Dengbao Wang, Li Li, Jingyuan Wang, Fei Hu, Xiuzhen Zhang:
Extracting Label Importance Information for Multi-label Classification. DASFAA (2) 2018: 424-439 - [c68]Kashif Ali, Margaret Hamilton, Charles Thevathayan, Xiuzhen Zhang:
Social Information Services: A Service Oriented Analysis of Social Media. ICWS 2018: 263-279 - [c67]Kashif Ali, Margaret Hamilton, Charles Thevathayan, Xiuzhen Zhang:
Big Social Data as a Service: A Service Composition Framework for Social Information Service Analysis. ICWS 2018: 487-503 - [c66]Kashif Ali, Margaret Hamilton, Charles Thevathayan, Xiuzhen Zhang:
Meta-Information as a Service: A Big Social Data Analysis Framework. PACIS 2018: 99 - [c65]Dengbao Wang, Jingyuan Wang, Fei Hu, Li Li, Xiuzhen Zhang:
A Locally Adaptive Multi-Label k-Nearest Neighbor Algorithm. PAKDD (1) 2018: 81-93 - [c64]Yassien Shaalan, Xiuzhen Zhang, Jeffrey Chan:
Learning to Rank Items of Minimal Reviews Using Weak Supervision. PAKDD (1) 2018: 631-643 - [c63]Dheeraj Kumar, Yassien Shaalan, Xiuzhen Zhang, Jeffrey Chan:
Identifying Singleton Spammers via Spammer Group Detection. PAKDD (1) 2018: 656-667 - [e1]Sunghwan Mac Kim, Xiuzhen Jenny Zhang:
Proceedings of the Australasian Language Technology Association Workshop 2018, Dunedin, New Zealand, ALTA 2018, December 10-12, 2018. 2018 [contents] - 2017
- [j21]Shafiza Mohd Shariff, Xiuzhen Zhang, Mark Sanderson:
On the credibility perception of news on Twitter: Readers, topics and features. Comput. Hum. Behav. 75: 785-796 (2017) - [j20]Lishan Cui, Xiuzhen Zhang, A. Kai Qin, Timos Sellis, Lifang Wu:
CDS: Collaborative distant supervision for Twitter account classification. Expert Syst. Appl. 83: 94-103 (2017) - [j19]Lifang Wu, Dan Wang, Xiuzhen Zhang, Shuang Liu, Lei Zhang, Chang Wen Chen:
MLLDA: Multi-level LDA for modelling users on content curation social networks. Neurocomputing 236: 73-81 (2017) - [j18]Xiuzhen Zhang, Yuxuan Li, Kotagiri Ramamohanarao, Lifang Wu, Zahir Tari, Mohamed Cheriet:
KRNN: k Rare-class Nearest Neighbour classification. Pattern Recognit. 62: 33-44 (2017) - [j17]David Savage, Xiuzhen Zhang, Pauline Chou, Xinghuo Yu, Qingmai Wang:
Distributed Mining of Contrast Patterns. IEEE Trans. Parallel Distributed Syst. 28(7): 1881-1890 (2017) - [j16]Jiajia Huang, Min Peng, Hua Wang, Jinli Cao, Wang Gao, Xiuzhen Zhang:
A probabilistic method for emerging topic tracking in Microblog stream. World Wide Web 20(2): 325-350 (2017) - [c62]David Savage, Qingmai Wang, Xiuzhen Zhang, Pauline Chou, Xinghuo Yu:
Detection of Money Laundering Groups: Supervised Learning on Small Networks. AAAI Workshops 2017 - [c61]Shiwei Zhang, Xiuzhen Zhang, Jeffrey Chan:
A Word-Character Convolutional Neural Network for Language-Agnostic Twitter Sentiment Analysis. ADCS 2017: 12:1-12:4 - [c60]Shiwei Zhang, Xiuzhen Zhang, Jeffrey Chan:
Language-Independent Twitter Classification Using Character-Based Convolutional Networks. ADMA 2017: 413-425 - [c59]Naoki Kito, Xiangmin Zhou, Dong Qin, Yongli Ren, Xiuzhen Zhang, James A. Thom:
Change Detection from Media Sharing Community. APWeb/WAIM (1) 2017: 391-398 - [c58]Lifang Wu, Shuang Liu, Meng Jian, Jiebo Luo, Xiuzhen Zhang, Mingchao Qi:
Reducing noisy labels in weakly labeled data for visual sentiment analysis. ICIP 2017: 1322-1326 - [c57]Qingyu Chen, Xiuzhen Zhang, Yu Wan, Justin Zobel, Karin Verspoor:
Sequence Clustering Methods and Completeness of Biological Database Search. BAI@IJCAI 2017: 8-14 - [c56]Suliman Aladhadh, Xiuzhen Zhang, Mark Sanderson:
Beyond the Culture Effect on Credibility Perception on Microblogs. SocInfo (2) 2017: 316-328 - 2016
- [c55]Lishan Cui, Xiuzhen Zhang, Xiangmin Zhou, Flora D. Salim:
Topical Event Detection on Twitter. ADC 2016: 257-268 - [c54]Yassien Shaalan, Xiuzhen Zhang:
A Time and Opinion Quality-Weighted Model for Aggregating Online Reviews. ADC 2016: 269-282 - [c53]Lishan Cui, Xiuzhen Zhang, Amanda Kimpton, Daryl J. D'Souza:
Automatic Labelling of Topics via Analysis of User Summaries. ADC 2016: 295-307 - [c52]Shafiza Mohd Shariff, Mark Sanderson, Xiuzhen Zhang:
Correlation Analysis of Reader's Demographics and Tweet Credibility Perception. ECIR 2016: 453-465 - [c51]Lifang Wu, Dai Zhang, Xiuzhen Zhang, Yuchen Jing, Haiying Liu, Chang Wen Chen:
Recommending Followees Based on Content Weighted User Interest Homophily. ICIMCS 2016: 146-151 - [c50]Qingmai Wang, Xinghuo Yu, Pauline Lienhua Chou, David Savage, Xiuzhen Zhang, Jiangxia Zhong:
Power usage spike detection using smart meter data for load profiling. ISIE 2016: 732-737 - [c49]Fei Liu, Alistair Moffat, Timothy Baldwin, Xiuzhen Zhang:
Quit While Ahead: Evaluating Truncated Rankings. SIGIR 2016: 953-956 - [i3]David Savage, Xiuzhen Zhang, Xinghuo Yu, Pauline Lienhua Chou, Qingmai Wang:
Anomaly detection in online social networks. CoRR abs/1608.00301 (2016) - [i2]David Savage, Xiuzhen Zhang, Xinghuo Yu, Pauline Lienhua Chou, Qingmai Wang:
Detection of opinion spam based on anomalous rating deviation. CoRR abs/1608.00684 (2016) - [i1]David Savage, Qingmai Wang, Pauline Lienhua Chou, Xiuzhen Zhang, Xinghuo Yu:
Detection of money laundering groups using supervised learning in networks. CoRR abs/1608.00708 (2016) - 2015
- [j15]