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<!DOCTYPE html>
<html lang="en">
<head>
<title> Xiuzhen Jenny Zhang: Grants </title>
<link rel="stylesheet" type="text/css" href="style.css" />
</head>
<body>
<header>
<!-- "Bright blue" background -->
<div style = "width: 100%; height:200px; background-color:#0096FF">
<div style="padding-left: 100px; padding-top: 20px; float:left;">
<h1> Xiuzhen Jenny Zhang </h1>
<h4> Professor, PhD(Melb)</h4>
School of Computing Technologies, RMIT University <br>
Email: xiuzhen.zhang AT rmit.edu.au
</div>
</header>
<nav>
<ul>
<li><a class="" href="index.html"> Home </a></li>
<li><a class="selected" href="publications.html">Publications</a></li>
<li><a class="" href="grants.html">Grants </a></li>
<li><a class="" href="supervision.html">PhD Supervision</a></li>
<li><a class="" href="tale.html">The TALE Group</a></li>
</ul>
</nav>
<!-- main content from here -->
<div class="container">
<h2> Publications </h2>
<p>
<a href="https://scholar.google.com/citations?user=kuyecEEAAAAJ&hl=en&oi=ao">My Google
Scholar profile</a> has a more complete list of my publications.
<br>
<span> SJR Journal ranking: <a href="https://www.scimagojr.com/journalrank.php">https://www.scimagojr.com/journalrank.php</a></span>
<br>
<span> CORE conference ranking: <a href="http://portal.core.edu.au/conf-ranks/">http://portal.core.edu.au/conf-ranks/</a></span>
</p>
<!-- Edit start from after HERE -->
<p> <b> 2023 </b></p>
<p><b>Journal papers</b></p>
<p>
Halder, S., Lim, K.H., Chan, J. and Zhang, X., 2023. Capacity-aware fair POI recommendation combining transformer neural networks and resource allocation policy. Applied Soft Computing.
</p>
<p>
Sharifpour, R., Wu, M. and Zhang, X., 2023. Large-scale analysis of query logs to profile users for dataset search. Journal of Documentation, 79(1), pp.66-85.
</p>
<p><b>Conference papers</b></p>
<p>
Tian, L., Zhang, X. and Lau, J.H., 2023, April. MetaTroll: Few-shot Detection of State-Sponsored Trolls with Transformer Adapters. In Proceedings of the ACM Web Conference 2023 (pp. 1743-1753).
</p>
<p>
Tian, L., Zhang, X.J., Kim, M.H. and Biggs, J., 2023, May. Task and Sentiment Adaptation for Appraisal Tagging. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (pp. 1952-1962).
</p>
<p>
Huang, N., Tian, L., Fayek, H. and Zhang, X., 2023. Examining Bias in Opinion Summarisation Through the Perspective of Opinion Diversity. ACL 2023 Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASAA 2023).
</p>
<p>
Tian, L., Zhang, X., Kim, M.-H., and Biggs, J., 2023. Efficient text-based propaganda detection via language model cascades. IberLEF 2023, September, Jaen, Spain.
</p>
<p>
Tian, L., Huang, N., and Zhang, X., Efficient multilingual sexism detection via large language model cascades. Working Notes of CLEF 2023. September 18—21, 2023. Thessaloniki, Greece.
</p>
<p> <b> 2022 </b></p>
<p><b>Journal papers</b></p>
<p> Sharifpour, Romina, Mingfang Wu, and Xiuzhen Zhang. "Large-scale analysis of query logs to profile users for dataset search." Journal of Documentation ahead-of-print (2022). </p>
<p> Halder, Sajal, Kwan Hui Lim, Jeffrey Chan, and Xiuzhen Zhang. "Efficient itinerary recommendation via personalized POI selection and pruning." Knowledge and Information Systems 64, no. 4 (2022): 963-993. <p>
<p> Ali, Kashif, Margaret Hamilton, Charles Thevathayan, and Xiuzhen Zhang. "Big social data as a service (BSDaaS): a service composition framework for social media analysis." Journal of Big Data 9, no. 1 (2022): 1-27. </p>
<p><b>Conference papers</b></p>
<p>Tian, Lin, Jey Han Lau, Xiuzhen Zhang. “DUCK: Rumour detection on social media by modelling user and comment propagation networks”. NACCL 2022. July 2022. CORE A. </p>
<p>Wang, Shoujin, Xiaofei Xu, Xiuzhen Zhang, Yan Wang and Wenzhuo Song. “Veracity-aware and Event-driven Personalised News Recommendation for Fake News Mitigation”. In Proceedings of the Web Conference (WebConf’22). 2022. CORE A*. </p>
<p>Xu, X., Deng, K. and Zhang, X., 2022, February. Identifying Cost-effective Debunkers for Multi-stage Fake News Mitigation Campaigns. In Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining (pp. 1206-1214). CORE A*.</p>
<p><b>Editorial</b></p>
<p>Anastasia Giachanou, Xiuzhen Zhang, Alberto Barrón-Cedeño, Olessia Koltsova and Paolo Rosso. Online information disorder: fake news, bots and trolls. International Journal of Data Science and Analytics. 2022. DOI 10.1007/s41060-022-00325-0. Published online 9 May 2022. </p>
<p><b>2021</b></p>
<p><b>Journal papers</b></p>
<p> Yassien Shaalan, Xiuzhen Zhang, Jeffrey Chan and Mahsa Salehi. 2020. Detecting Singleton Spams in Reviews via Learning Deep Anomalous Temporal Aspect-Sentiment Patterns. Data Mining and Knowledge Discovery. Vol. 35. pages 450-504. 2021. (SJR Q1)</p>
<p> Husin, H.S., Thom, J. and Zhang, X. (2021), "Evolution of user navigation behavior for online news", International Journal of Web Information Systems, Vol. 18 No. 1, pp. 1-22. ISSN: 1744-0084
https://doi.org/10.1108/IJWIS-06-2021-0064 </p>
<p> Mingfang Wu, Ying-Hsang Liu, Rowan Brownlee, and Xiuzhen Zhang. “Evaluating Utility and Automatic Classification of Subject Metadata from Research Data Australia”. Knowledge Organization. 48(3):219-230. 2021. DOI:10.5771/0943-7444-2021-3-219. </p>
<p> <b>Conference papers</b></p>
<p> Halder, S., Lim, K.H., Chan, J. and Zhang, X., 2021, May. Transformer-Based Multi-task Learning for Queuing Time Aware Next POI Recommendation. In Proc. Pacific-Asia Conference on Knowledge Discovery and Data Mining (pp. 510-523). Springer, Cham. </p>
<p> Tian, L., Zhang, X. and Lau, J.H., 2021, September. Rumour Detection via Zero-shot Cross-lingual Transfer Learning. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases (pp. 603-618). Springer, Cham. </p>
<p> Nie, H.R., Zhang, X., Li, M., Baglin, J. and Dolgun, A., 2021. Early Rumour Detection with Temporal Bidirectional Graph Convolutional Networks. In PACIS’2021. </p>
<p> Tay, W., Zhang, X.J., Wan, S. and Karimi, S., 2021, November. Measuring Similarity of Opinion-bearing Sentences. In Proceedings of the Third Workshop on New Frontiers in Summarization (pp. 74-84). </p>
<p> Nannan Huang and Xiuzhen Zhang. 2021. Evaluation of review summaries via question answering. In ALTA’2021. </p>
<p> Shiwei Zhang and Xiuzhen Zhang. 2021. Does QA-based intermediate training help fine-tuning language models for text classification? In ALTA 2021. </p>
<p> Rinaldo Gagiano, Maria Myung-Hee Kim, Xiuzhen Zhang and Jennifer Biggs. Robustness analysis of Grover for machine-generated news detection. In ALTA 2021. </p>
<p class=MsoNormal><b><span lang=EN-US style='font-size:11.0pt;font-family:
"Arial",sans-serif;mso-ansi-language:EN-US'>2020</span></b></p>
<p class=MsoNormal><b><span lang=EN-US style='font-size:11.0pt;font-family:
"Arial",sans-serif;mso-ansi-language:EN-US'> </span></b></p>
<p class=MsoNormal><b><span lang=EN-US style='font-size:11.0pt;font-family:
"Arial",sans-serif;mso-ansi-language:EN-US'>Journal papers</span></b></p>
<p class=MsoListParagraph style='margin-top:6.0pt;margin-right:0cm;margin-bottom:
0cm;margin-left:14.2pt;margin-bottom:.0001pt;text-indent:-14.2pt;vertical-align:
baseline'>
<span lang=EN-US style='font-size:11.0pt;font-family:"Arial",sans-serif;
mso-ansi-language:EN-US'>Pang, P., McKay D., Chang, S., Chen, Q., Zhang, X.,
and Cui, L., 2020. Privacy Concerns of the Australian My Health Record:
Implications for Other Large-scale Opt-out Personal Health Records.<i><span
style='color:#222222'> Information Processing & Management</span></i>.
To appear. (SJR Q1)</span></p>
<p class=MsoListParagraph style='margin-top:6.0pt;margin-right:0cm;margin-bottom:
0cm;margin-left:14.2pt;margin-bottom:.0001pt;text-indent:-14.2pt;vertical-align:
baseline'>
<span lang=EN-US style='font-size:11.0pt;font-family:"Arial",sans-serif;
mso-ansi-language:EN-US'>Malang, K., Wang, S.,
Phaphuangwittayakul, A., Lv, Y., Yuan, H. and Zhang, X., 2020. Identifying
influential nodes of global terrorism network: A comparison for skeleton
network extraction. <i>Physica A: Statistical Mechanics and its
Applications</i>, <i>545</i>. (SJR Q1)</span></p>
<p class=MsoListParagraph style='margin-top:6.0pt;margin-right:0cm;margin-bottom:
0cm;margin-left:14.2pt;margin-bottom:.0001pt;vertical-align:baseline'><span
lang=EN-US style='font-size:11.0pt;font-family:"Arial",sans-serif;mso-ansi-language:
EN-US'> </span></p>
<p class=MsoNormal><b><span lang=EN-US style='font-size:11.0pt;font-family:
"Arial",sans-serif;mso-ansi-language:EN-US'>Conference papers</span></b></p>
<p class=MsoNormal style='margin-top:6.0pt'><span lang=EN-US style='font-size:
11.0pt;font-family:"Arial",sans-serif'>Nie, H.R., Zhang, X., Li, M., Dolgun, A.
and Baglin, J. October 2020. Modelling users influence and rumor propagation on
Twitter using Hawkes processes. In <i>7<sup>th</sup> IEEE International
Conference on Data Science and Advanced Analytics. Sydney Australia.</i> To
appear.</span></p>
<p class=MsoNormal style='margin-top:6.0pt'><span lang=EN-US style='font-size:
11.0pt;font-family:"Arial",sans-serif'>Tian, L., Zhang, X. and Lau, J.H.
October 2020. #DemocratsAreDestroyingAmerica: Rumour analysis on Twitter during
COVID-19. In <i>5<sup>th</sup> International Workshop on Mining Actionable
Insights from Social Networks.</i> CEUR-WS.org. To appear. </span></p>
<p class=MsoNormal style='margin-top:6.0pt'><span lang=EN-US style='font-size:
11.0pt;font-family:"Arial",sans-serif'>Duan, X. <span style='color:black'>Naghizade,
E., Spina, D. and Zhang, X. </span>RMIT at PAN-CLEF 2020: Profiling fake news spreaders
on Twitter. In <i><span style='color:black'>CLEF 2020 Labs and Workshops</span></i><span
style='color:black'>, Notebook papers. September 2020. CEUR-WS.org. To appear.</span></span></p>
<p class=MsoNormal style='margin-top:6.0pt'><span lang=EN-US style='font-size:
11.0pt;font-family:"Arial",sans-serif;color:#222222;'>Tian, L.,
Zhang, X. and Peng, M., 2020, April. FakeFinder: Twitter Fake News Detection on
Mobile. In <i> Proceedings of the Web Conference 2020</i>. (CORE A*)</span></p>
<p class=MsoNormal style='margin-top:6.0pt'><span lang=EN-US style='font-size:
11.0pt;font-family:"Arial",sans-serif;color:#222222;'>Tian, L.,
Zhang, X., Wang, Y. and Liu, H., 2020, April. Early detection of rumours on
Twitter via stance transfer learning. In <i>European Conference on
Information Retrieval</i> (<i>ECIR'20</i>). (CORE A)</span></p>
<p class=MsoNormal style='margin-top:6.0pt'><span lang=EN-US style='font-size:
11.0pt;font-family:"Arial",sans-serif;color:#222222;'>Huang,
T.D., Zhang, X., Ren, Y. and Peng, M., 2020. Can helpful reviews help answer
product questions? In <i>Pacific Asia Conference on Information Systems</i> (<i>PACIS'20</i>).
(CORE A)</span></p>
<p class=MsoNormal style='margin-top:6.0pt;margin-right:28.05pt;margin-bottom:
0cm;margin-left:0cm;margin-bottom:.0001pt;text-align:justify'><span lang=EN-US
style='font-size:11.0pt;font-family:"Arial",sans-serif'>Scanlon, L., Zhang, S.,
Zhang, X. and Sanderson, M. 2020. Evaluation of cross domain text
summarisation. In <i>Int'l ACM SIGIR Conf. Res. and Dev. Inf. Retrieval
(SIGIR2020)</i>. (CORE A*)</span></p>
<p class=MsoNormal style='margin-top:6.0pt'><span lang=EN-US style='font-size:
11.0pt;font-family:"Arial",sans-serif'>Zhang, S., Lau, J.H., Zhang, X.,
Chan, J. and Paris, C., 2020. Less is More: Rejecting Unreliable
Reviews for Product Question Answering<span style='color:black'>. In <i>ECML-PKDD
2020</i>. To appear. (CORE A)</span></span></p>
<p class=MsoPlainText style='margin-top:12.0pt;margin-right:0cm;margin-bottom:
6.0pt;margin-left:0cm'><b><span lang=EN-US style='font-family:"Arial",sans-serif'>2019</span></b></p>
<p class=MsoPlainText style='margin-top:12.0pt;margin-right:0cm;margin-bottom:
6.0pt;margin-left:0cm'><span lang=EN-US style='font-family:"Arial",sans-serif'>Zhang,
Shiwei, Jey Han Lau, Xiuzhen Zhang, Jeffrey Chan, and Cecile Paris. "
"Discovering Relevant Reviews for Answering Product-related Queries." In IEEE ICDM, Beijing, China, 2019.
<a href="https://github.com/zswvivi/icdm_pqa"> [The source code]
</span></p>
<p class=MsoPlainText style='margin-top:12.0pt;margin-right:0cm;margin-bottom:
6.0pt;margin-left:0cm'><span lang=EN-US style='font-family:"Arial",sans-serif'>Zhang,
Shiwei, Xiuzhen Zhang, Jeffrey Chan, and Paolo Rosso. "Irony detection via
sentiment-based transfer learning." Information Processing & Management 56,
no. 5 (2019): 1633-1644.
</span></p>
<p class=MsoPlainText style='margin-top:12.0pt;margin-right:0cm;margin-bottom:
6.0pt;margin-left:0cm'><span lang=EN-US style='font-family:"Arial",sans-serif'>Aladhadh,
Suliman, Xiuzhen Zhang, and Mark Sanderson. "Location impact on source and
linguistic features for information credibility of social
media." Online Information Review 43, no. 1 (2019): 89-112.</span></p>
<p class=MsoPlainText style='margin-top:12.0pt;margin-right:0cm;margin-bottom:
6.0pt;margin-left:0cm'><span lang=EN-US style='font-family:"Arial",sans-serif'>Pourhabibi,
Tahereh, Yee Ling Boo, Kok-Leong Ong, Booi Kam, and Xiuzhen Zhang.
"Behavioral Analysis of Users for Spammer Detection in a Multiplex Social
Network." In Australasian Conference on Data Mining, pp. 228-240.
Springer, Singapore, 2018.</span></p>
<p class=MsoPlainText style='margin-top:12.0pt;margin-right:0cm;margin-bottom:
6.0pt;margin-left:0cm'><span lang=EN-US style='font-family:"Arial",sans-serif'>Zhang,
Xiuzhen, Shuliang Wang, Gao Cong, and Alfredo Cuzzocrea. "Social Big Data:
Mining, Applications, and Beyond." Complexity 2019 (2019).
Editorial.</span></p>
<p class=MsoPlainText style='margin-top:12.0pt;margin-right:0cm;margin-bottom:
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</span><span style='font-family:"Arial",sans-serif'>DOI</span><span lang=EN-US
style='font-family:"Arial",sans-serif'> bookmark</span><span style='font-family:
"Arial",sans-serif'>: </span><span lang=EN-US><a
href="http://doi.ieeecomputersociety.org/10.1109/TKDE.2013.177" target="_blank"><span
lang=EN-GB style='font-family:"Arial",sans-serif;color:purple'><span
lang=EN-GB>http://doi.ieeecomputersociety.org/10.1109/TKDE.2013.177</span></span></a></span></p>
<p class=MsoPlainText style='margin-top:12.0pt;margin-right:0cm;margin-bottom:
6.0pt;margin-left:0cm'><span style='font-family:"Arial",sans-serif'>H. Zhang,
Y. Wang, and <b>X. Zhang</b>. The approaches to contextual
transaction trust computation in E-commerce environments. <i>Security
and Communication Networks. </i>Vol 7: 1331-1351. 2014. DOI
Bookmark:</span><span lang=EN-US><a
href="http://onlinelibrary.wiley.com/doi/10.1002/sec.839/pdf"><span
style='font-family:"Arial",sans-serif;color:purple'>http://onlinelibrary.wiley.com/doi/10.1002/sec.839/pdf</span></a></span><span
class=MsoHyperlink><span lang=EN-US style='font-family:"Arial",sans-serif'> </span></span><span
lang=EN-US style='font-family:"Arial",sans-serif'>(SJR Q3)</span></p>
<p class=MsoPlainText style='margin-top:12.0pt;margin-right:0cm;margin-bottom:
6.0pt;margin-left:0cm'><span lang=EN-US style='font-family:"Arial",sans-serif'>Wu,
G. Yu, X. Yuan, <b>X. Zhang</b>, L. Cao. Semantic aware sport image
resizing jointly using seam carving and warping. In <i>Multimedia Tools
and Applications</i>. 70(2):721-739. Springer. 2014. (SJR Q2)</span></p>
<p class=MsoPlainText style='margin-top:12.0pt;margin-right:0cm;margin-bottom:
6.0pt;margin-left:0cm'><span style='font-family:"Arial",sans-serif'>S.
Aladhadh, <b>X. Zhang</b> and M. Sanderson. Tweet author location impacts
on Tweet credibility. <i>The 19th Australasian Document Computing
Symposium (ADCS 2014)</i>. Melbourne, Australia. 27—28 November 2014. (</span><span
lang=EN-US style='font-family:"Arial",sans-serif'>Local conference)</span></p>
<p class=MsoPlainText style='margin-top:12.0pt;margin-right:0cm;margin-bottom:
6.0pt;margin-left:0cm'><span style='font-family:"Arial",sans-serif'>H. S.
Husin, J. Thom and <b>X. Zhang</b>. Analysing user access to an online
newspaper. <i>The 19th Australasian Document Computing Symposium (ADCS
2014)</i>. Melbourne Autralia. 27—28 November 2014. </span><span
lang=EN-US style='font-family:"Arial",sans-serif'>(Local conference)</span></p>
<p class=MsoPlainText style='margin-top:12.0pt;margin-right:0cm;margin-bottom:
6.0pt;margin-left:0cm'><span lang=EN-US style='font-family:"Arial",sans-serif'>Z.
Zhou, <b>X. Zhang</b> and M. Sanderson. Sentiment analysis on Twitter
through domain-specific lexicon expansion. In <i>Proc. of the 25<sup>th</sup> Australasian
Database Conference (ADC 2014)</i>. Brisbane, Australia. 14—16 July 2014.
(Local conference)
</span></p>
<p class=MsoPlainText style='margin-top:12.0pt;margin-right:0cm;margin-bottom:
6.0pt;margin-left:0cm'><span lang=EN-US style='font-family:"Arial",sans-serif'>Y.
Jing, <b>X. Zhang</b>, and L.F. Wu. Recommendation for communities on
Flickr combining user ratings and item importance. In <i>IEEE
International Conference on Multimedia and Expo (ICME 2014)</i>, pp. 1-6.
Chengdu, China. 14-18 July 2014. </span><span
style='font-family:"Arial",sans-serif'>DOI: 10.1109/ICME.2014.6890130</span></p>
<p class=MsoPlainText style='margin-top:12.0pt;margin-right:0cm;margin-bottom:
6.0pt;margin-left:0cm'><span style='font-family:"Arial",sans-serif;color:black'>URL: </span><span
lang=EN-US><a
href="http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6890130&isnumber=6890121"><span
lang=EN-GB style='font-family:"Arial",sans-serif;color:purple'><span
lang=EN-GB>http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6890130&isnumber=6890121</span></span></a></span></p>
<p class=MsoPlainText style='margin-top:12.0pt;margin-right:0cm;margin-bottom:
6.0pt;margin-left:0cm'><span lang=EN-US style='font-family:"Arial",sans-serif'>X.
Song, J. Ji, C. Yang and <b>X. Zhang</b>. Ant colony clustering based on
sampling for community detection. In <i>2014 IEEE Congress on Evolutionary
Computation (CEC 2014)</i>, pp. 687—692. Beijing, China. 6-11 July 2014.
((CORE2014 B) DOI: 10.1109/CEC.2014.690036 </span><span style='font-family:
"Arial",sans-serif'>URL: </span><span lang=EN-US><a
href="http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6900367&isnumber=6900223"><span
lang=EN-GB style='font-family:"Arial",sans-serif;color:purple'><span
lang=EN-GB>http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6900367&isnumber=6900223</span></span></a></span></p>
<p class=MsoPlainText style='margin-top:12.0pt;margin-right:0cm;margin-bottom:
6.0pt;margin-left:0cm'><span lang=EN-US style='font-family:"Arial",sans-serif'>S.
M. Shariff, <b>X. Zhang</b> and M. Sanderson. User perception of
information credibility of news on Twitter. In Proc. of <i>36<sup>th</sup> European
Conference on Information Retrieval (ECIR 2014)</i>. LNCS 8416. Amsterdam.
13--16 Apr, 2014. Available online: </span><span lang=EN-US><a
href="http://www.springer.com/computer/database+management+%26+information+retrieval/book/978-3-319-06027-9"><span
style='font-family:"Arial",sans-serif'>http://www.springer.com/computer/database+management+%26+information+retrieval/book/978-3-319-06027-9</span></a></span></p>
<p class=MsoListParagraph style='margin-top:6.0pt;margin-right:28.05pt;
margin-bottom:6.0pt;margin-left:17.85pt;text-align:justify'><span
style='font-size:11.0pt;font-family:"Arial",sans-serif'> </span></p>
<p class=MsoNormal><b><span style='font-size:11.0pt;font-family:"Arial",sans-serif'>Before
2014 ... </span></b></p>
<p class=MsoNormal><b><span style='font-size:11.0pt;font-family:"Arial",sans-serif'> </span></b></p>
<p class=MsoNormal style='margin-top:4.0pt;margin-right:28.0pt;margin-bottom:
4.0pt;margin-left:0cm;text-align:justify;text-autospace:none'><b><span
lang=EN-US style='font-size:11.0pt;font-family:"Arial",sans-serif'>Scholarly
books/Scholarly book chapters</span></b></p>
<p class=MsoNormal style='margin-top:6.0pt'><span lang=EN-US style='font-size:
11.0pt;font-family:"Arial",sans-serif'>Q. Wang, X. Yu and <b>X. Zhang</b>. A
connectionist model-based approach to centrality discovery in social networks.
In Behaviour and Social Computing. LNAI 8178. pp. 82-94. ISBN:
978-3-319-04047-9 (Print) 978-3-319-04048-6 (Online). 2013.</span></p>
<p class=MsoNormal style='margin-top:6.0pt'><b><span lang=EN-US
style='font-size:11.0pt;font-family:"Arial",sans-serif'>X. Zhang</span></b><span
lang=EN-US style='font-size:11.0pt;font-family:"Arial",sans-serif'>, and G.
Dong. Overview and analysis of contrast pattern-based classification. In
Contrast Data Mining: Concepts, Algorithms and Applications, Chapman and
Hall/CRC, Florida, US, pp. 151-170 ISBN: 9781439854327. 2013.</span></p>
<p class=MsoListParagraph style='margin-top:4.0pt;margin-right:0cm;margin-bottom:
0cm;margin-left:18.0pt;margin-bottom:.0001pt'><span lang=EN-US
style='font-size:11.0pt;font-family:"Arial",sans-serif'> </span></p>
<p class=MsoPlainText style='margin-top:4.0pt'><b><span lang=EN-US
style='font-family:"Arial",sans-serif'>Refereed journal papers</span></b></p>
<p class=MsoNormal style='margin-top:6.0pt'><b><span lang=EN-US
style='font-size:11.0pt;font-family:"Arial",sans-serif'>X. Zhang</span></b><span
lang=EN-US style='font-size:11.0pt;font-family:"Arial",sans-serif'>, L. Cui,
and Y. Wang. CommTrust: Computing multi-dimensional trust by mining E-commerce
feedback comments. In <i>IEEE Transactions on Knowledge and Data Engineering
(IEEE TKDE).</i> 26(7): 1631-1643. July 2014. Published online November 2013.
DOI Bookmark: </span><span lang=EN-US><a
href="http://doi.ieeecomputersociety.org/10.1109/TKDE.2013.177"><span
style='font-size:11.0pt;font-family:"Arial",sans-serif'>http://doi.ieeecomputersociety.org/10.1109/TKDE.2013.177</span></a></span>
</p>
<p class=MsoNormal style='margin-top:6.0pt'><span lang=EN-US style='font-size:
11.0pt;font-family:"Arial",sans-serif'> J Ji, X. Song, C. Liu, and <b>X.
Zhang.</b> Ant colony clustering with fitness perception and pheromone
diffusion for community detection in complex networks. In <i>Physica A:
Statistical Mechanics and its Applications</i>, Elsevier, Netherlands, vol.
392, no. 15, pp. 3260-3272 ISSN: 0378-4371. 2013. </span></p>
<p class=MsoNormal style='margin-top:6.0pt;text-align:justify;text-autospace:
none'><span lang=EN-US style='font-size:11.0pt;font-family:"Arial",sans-serif'>P.
Han, <b>X. Zhang</b> and Z.-P. Feng. Predicting disordered regions in proteins
using the profiles of amino acid indices. In <i>BMC Bioinformatics 2009</i>, 10
(Suppl 1): S42, pp. 1-8. 30 Jan 2009. </span></p>
<p class=MsoNormal style='margin-top:6.0pt;text-align:justify;text-autospace:
none'><span lang=EN-US style='font-size:11.0pt;font-family:"Arial",sans-serif'>P.
Han, <b>X. Zhang</b>, R. S. Norton and Z.-P. Feng. Large-scale prediction of
long disordered regions in proteins using random forests. In <i>BMC
Bioinformatics</i> <i>2009</i>. 10:8, pp. 1-9. 07 Jan 2009.</span></p>
<p class=MsoNormal style='margin-top:6.0pt;text-align:justify;text-autospace:
none'><span lang=EN-US style='font-size:11.0pt;font-family:"Arial",sans-serif'>H.
Zhang and <b>X. Zhang</b>. Comments on "Data mining static code attributes
to learn defect predictors". In <i>IEEE Transactions on Software
Engineering.</i> 33(9):635-636. September 2007. </span></p>
<p class=MsoNormal style='margin-top:6.0pt;text-align:justify;text-autospace:
none'><b><span lang=EN-US style='font-size:11.0pt;font-family:"Arial",sans-serif'>X.
Zhang</span></b><span lang=EN-US style='font-size:11.0pt;font-family:"Arial",sans-serif'>,
P. Chou and G. Dong. Efficient computation of iceberg cubes by bounding
aggregate functions. In <i>IEEE Transactions on Knowledge and Data Engineering</i>.
19(7):903-918, July 2007. </span></p>
<p class=MsoNormal style='margin-top:6.0pt;text-align:justify;text-autospace:
none'><span lang=EN-US style='font-size:11.0pt;font-family:"Arial",sans-serif;
color:black'> Z.-P. Feng, X. Zhang, P. Han, N. Arora, R. F. Anders, and R.
S. Norton. The abundance of IUPs in the Malarial Proteome. <i>Molecular
and Biochemical Parasitology</i>. 150, 256--267. 2006. </span></p>
<p class=MsoNormal style='margin-top:6.0pt;text-align:justify;text-autospace:
none'><span lang=EN-US style='font-size:11.0pt;font-family:"Arial",sans-serif;
color:black'> P. Han, X. Zhang, R. Norton and Z.-P. Feng. Predicting
disordered regions in proteins based on decision trees of reduced amino acid
composition. <i>Journal of Computational Biology</i>. 13(9):1579--1590.
2006.</span></p>
<p class=MsoNormal style='margin-top:6.0pt;text-align:justify;text-autospace:
none'><span lang=EN-US style='font-size:11.0pt;font-family:"Arial",sans-serif;
color:black'> X Zhang and J Fong. Translating updatae operations from
relational to object-oriented databases. <i>Information and Software
Technology</i>, 42(3): 197-210, 2000.</span></p>
<p class=MsoNormal style='margin-top:6.0pt;text-align:justify;text-autospace:
none'><span lang=EN-US style='font-size:11.0pt;font-family:"Arial",sans-serif;
color:black'>X Zhang, Y Zhang, J Fong and X Jia. Transforming RDB schema into
well-structured OODB schema. <i>Information and Software Technology</i>,
41(5): 275-281, 1999.</span></p>
<p class=MsoListParagraph style='margin-top:6.0pt;margin-right:0cm;margin-bottom:
0cm;margin-left:17.85pt;margin-bottom:.0001pt;text-align:justify;text-autospace:
none'><span lang=EN-US style='font-size:11.0pt;font-family:"Arial",sans-serif'> </span></p>
<p class=MsoPlainText style='margin-top:4.0pt'><b><span lang=EN-US
style='font-family:"Arial",sans-serif'>Refereed conference papers</span></b></p>
<p class=MsoNormal style='margin-top:6.0pt;text-align:justify;text-autospace:
none'><b><span lang=EN-US style='font-size:11.0pt;font-family:"Arial",sans-serif'>X.
Zhang</span></b><span lang=EN-US style='font-size:11.0pt;font-family:"Arial",sans-serif'>
and Y. Li. A positive-biased nearest neighbor algorithm for imbalanced
classification. The Proc. 17th Pacific-Asia Conference on Knowledge Discovery
and Data Mining (PAKDD 2013). LNCS vol. 7819. Pp293—304. ISSN: 0302-9743. Gold Coast,
Australia. 14-17 April, 2013. </span></p>
<p class=MsoNormal style='margin-top:6.0pt;text-align:justify;text-autospace:
none'><span lang=EN-US style='font-size:11.0pt;font-family:"Arial",sans-serif'>L.
Cui, <b>X. Zhang</b>, Y. Wang and L. Wu. Mining E-commerce feedback comments
for dimension rating profiles. The 9th International Conference on Advanced
Data Mining and Applications (ADMA-2013). Zhejiang China. LNCS. Dec 2013.
(ERA2010 Rank B)</span></p>
<p class=MsoNormal style='margin-top:6.0pt;text-align:justify;text-autospace:
none'><span lang=EN-US style='font-size:11.0pt;font-family:"Arial",sans-serif'>H.
Zhang, Y. Wang and <b>X. Zhang</b>. A trust vector approach to transaction
context-aware trust evaluation in E-commerce and E-service environments. The
5th IEEE International Conference on Service-oriented Computing and
Applications (SOCA 2012). Taipei, Taiwan. 17-19 December 2012. </span></p>
<p class=MsoPlainText style='margin-top:6.0pt'><b><span lang=EN-US
style='font-family:"Arial",sans-serif'>X. Zhang</span></b><span lang=EN-US
style='font-family:"Arial",sans-serif'>, Y. Zhou. J. Bailey and K.
Ramamohanarao. Sentiment analysis by augmenting expectation maximization with
lexical knowledge. <i>The 13<sup>th</sup> International’s Conference on Web
Information Systems Engineering (WISE 2012)</i>. Paphos, Cyprus. 28-30
November. 2012. </span></p>
<p class=MsoPlainText style='margin-top:6.0pt'><b><span lang=EN-US
style='font-family:"Arial",sans-serif'>H. Zhang</span></b><span lang=EN-US
style='font-family:"Arial",sans-serif'>, Y. Wang and X. Zhang. Efficient
contextual transaction trust computation in E-commerce environments. In <i>Proc.
of the 11<sup>th</sup> In’l Conf. on Trust, Security and Privacy in Computing
and Communications (TrustCom’12)</i>. Liverpool, UK. June 2012. <b>Best Paper
Award.</b> </span></p>
<p class=MsoPlainText style='margin-top:6.0pt'><span lang=EN-US
style='font-family:"Arial",sans-serif'>Z. Zhou, <b>X. Zhang</b> and P. Vines.
Sentiment classification of blog posts using topical extracts. In <i>Proc. of
the 23<sup>rd</sup> Australasian Database Conference (ADC’2012)</i>, pp. 71-80.
Melbourne, Australia. January 2012. </span></p>
<p class=MsoPlainText style='margin-top:6.0pt'><b><span lang=EN-US
style='font-family:"Arial",sans-serif'>X. Zhang</span></b><span lang=EN-US
style='font-family:"Arial",sans-serif'> and Y. Zhou. Holistic approaches to
identifying the sentiment of blogs using opinion words. In <i>Proc. of the 12<sup>th</sup>
International Conference on Web Information Systems Engineering (WISE’2011)</i>,
pp. 15—28. Sydney Australia. October 2011. </span></p>
<p class=MsoPlainText style='margin-top:6.0pt'><span lang=EN-US
style='font-family:"Arial",sans-serif'>D. Riazati, J. Thom and <b>X. Zhang</b>.
Enforcing strictness in integration of dimensions: beyond instance Matching. In
<i>Proc. of the 14<sup>th</sup> ACM International Workshop On Data Warehousing
and OLAP (DOLAP’2011)</i>, pp. 9-16. Glasgow, Scotland, UK. October 2011.</span></p>
<p class=MsoPlainText style='margin-top:6.0pt'><span lang=EN-US
style='font-family:"Arial",sans-serif'>H. Zhang, Y. Wang, <b>X. Zhang</b>:
Transaction similarity-based contextual trust evaluation in e-commerce and
e-service environments. In <i>Proc. of the 9<sup>th </sup>IEEE International
Conference on Web Services (ICWS’2011)</i>, pp. 500-507. Washington DC, USA.
July 2011. </span></p>
<p class=MsoPlainText style='margin-top:6.0pt'><span lang=EN-US
style='font-family:"Arial",sans-serif'>Y. Li and <b>X. Zhang</b>. Improving <i>k</i>
nearest neighbour with exemplar generalization for imbalanced classification.
In <i>Proc. of the 15th Pacific-Asia Conference on Knowledge Discovery and Data
Mining (PAKDD’2011), Part II, LNAI 6635, pp. 321—332. </i>Shenzhen China. May
2011. </span></p>
<p class=MsoPlainText style='margin-top:6.0pt'><b><span lang=EN-US
style='font-family:"Arial",sans-serif'>X. Zhang</span></b><span lang=EN-US
style='font-family:"Arial",sans-serif'> and Y. Li. An empirical study of
learning from imbalanced data. In <i>Proc. of the 22<sup>nd</sup> Australasian
Database Conference (ADC’2011)</i>, pp. 85—94. Perth Australia. Jan 2011. </span></p>
<p class=MsoPlainText style='margin-top:6.0pt'><span lang=EN-US
style='font-family:"Arial",sans-serif'>Z. Zhou, <b>X. Zhang</b> and P. Vines.
Seeing the forest from trees: blog retrieval by aggregating post similarity
scores. In <i>Proc. of </i></span><i><span lang=EN-US style='font-family:"Arial",sans-serif;
color:black'>the fifteenth Australasian Document Computing Symposium (ADCS’2010</span></i><span
lang=EN-US style='font-family:"Arial",sans-serif;color:black'>), </span><span
lang=EN-US style='font-family:"Arial",sans-serif'>pp. 12—19. </span><span
lang=EN-US style='font-family:"Arial",sans-serif;color:black'>Melbourne
Australia. </span><span lang=EN-US style='font-family:"Arial",sans-serif'>Dec
2010. </span></p>
<p class=MsoPlainText style='margin-top:6.0pt'><span lang=EN-US
style='font-family:"Arial",sans-serif'>D. Riazati and J. Thom and <b>X. Zhang</b>.
Inferring aggregation hierarchies for integration of data marts. In <i>Proc. of
the 21th International Conference on Database and Expert Systems Applications
(DEXA’ 2010)</i>, LNCS 6262, pp. 96—110. Bilbao, Spain, 30 Aug – 3 Sep, 2010. <a
name="_Toc144742541"></a><a name="_Toc144743106"></a><a name="_Toc144745754"></a><a
name="_Toc144746858"></a><a name="_Toc144747796"></a><a name="_Toc144805519"></a><a
name="_Toc146357768"></a><a name="_Toc146448235"></a><a name="_Toc146448870"></a></span></p>
<p class=MsoPlainText style='margin-top:6.0pt'><span lang=EN-US
style='font-family:"Arial",sans-serif;color:black'> <b>X. Zhang</b> and
Z. Zhou and M. Wu. Positive, negative, or mixed? Mining blogs for opinions.
In <i>Proc. of the 14<sup>th</sup></i> <i>Australasian Document
Computing Symposium (ADCS’2009)</i>, pp.141-144. Sydney, Australia. Dec
2009, <b>Best Short Paper Award</b>.</span></p>
<p class=MsoNormal style='margin-top:6.0pt;margin-right:28.0pt;margin-bottom:
0cm;margin-left:0cm;margin-bottom:.0001pt;text-align:justify'><span lang=EN-US
style='font-size:11.0pt;font-family:"Arial",sans-serif;color:black'>C.
Pang, <b>X. Zhang</b>, Y. Zhang and K. Ramamohanarao. The efficient
maintenance of access roles with role hiding. In <i>Proc. of the 14th
International Conference on Management of Data (COMAD’2008)</i>, pp.
139-149. Mumbai, India. December 2008.</span></p>
<p class=MsoNormal style='margin-top:6.0pt;margin-right:28.0pt;margin-bottom:
0cm;margin-left:0cm;margin-bottom:.0001pt;text-align:justify'><span lang=EN-US
style='font-size:11.0pt;font-family:"Arial",sans-serif;color:black'> D.
Riazati, J. Thom and <b>X. Zhang</b>. Drill-across and visualization of
cubes with non-confirmed dimensions. In <i>Proc. of</i> <i>the
19th Australasian Database Conference</i> (ADC'2008), pp.85-93.
Wollonggong, Australia, 22-25 Jan 2008.</span></p>
<p class=MsoNormal style='margin-top:6.0pt;margin-right:28.0pt;margin-bottom:
0cm;margin-left:0cm;margin-bottom:.0001pt;text-align:justify'><span lang=EN-US
style='font-size:11.0pt;font-family:"Arial",sans-serif;color:black'> H. Zhang, <b>X.
Zhang</b> and M. Gu. Predicting defective software components from code
complexity measures. In <i>Proc. of the 13th IEEE Pacific Rim Dependable
Computing conference</i>, Melbourne, Australia. IEEE Press, pp. 93-96.
17-19 December 2007.</span></p>
<p class=MsoNormal style='margin-top:6.0pt;margin-right:28.0pt;margin-bottom:
0cm;margin-left:0cm;margin-bottom:.0001pt;text-align:justify'><span lang=EN-US
style='font-size:11.0pt;font-family:"Arial",sans-serif;color:black'> P.
Han, <b>X. Zhang</b>, R. S. Norton and Z.-P. Feng. Reducing overfitting in
predicting intrinsically unstructured proteins. In <i>Proc. of the 11th
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'2007)</i>, <i>LNAI
4426</i>, pp. 515-522. Nanjing, China, May 2007. </span></p>
<p class=MsoNormal style='margin-top:6.0pt;margin-right:28.0pt;margin-bottom:
0cm;margin-left:0cm;margin-bottom:.0001pt;text-align:justify'><span
style='font-size:11.0pt;font-family:"Arial",sans-serif;color:black'> </span><span
lang=EN-US style='font-size:11.0pt;font-family:"Arial",sans-serif;color:black'>Stewart
and <b>X. Zhang</b>. Building a disordered protein database: a case study
in managing biological data. In <i>Proc. of the 18<sup>th</sup></i> <i>Australasian
Database Conference (ADC'2007)</i>, pp. 151-160. Ballarat, Australia, Jan 2007.</span></p>
<p class=MsoNormal style='margin-top:6.0pt;margin-right:28.0pt;margin-bottom:
0cm;margin-left:0cm;margin-bottom:.0001pt;text-align:justify'><span lang=EN-US
style='font-size:11.0pt;font-family:"Arial",sans-serif;color:black'> <b>X.
Zhang</b> and P. Chou. Multiway pruing for efficient iceberg cube
computation. In <i>Proc. 17th Int'l Conf. on Database and Expert Systems
Applications (DEXA 2006), LNCS</i> 4080, pp.203--212. Krakow Poland, Sep
2006.</span></p>
<p class=MsoNormal style='margin-top:6.0pt;margin-right:28.0pt;margin-bottom:
0cm;margin-left:0cm;margin-bottom:.0001pt;text-align:justify'><b><span
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