Dr Wei Zhang
Senior Lecturer
School of Computer and Mathematical Sciences
Faculty of Sciences, Engineering and Technology
Dr Wei Zhang is a Senior Lecturer and Associate Head of People and Culture at the School of Computer and Mathematical Sciences, and a researcher at the Australian Institute for Machine Learning (AIML), The University of Adelaide. She is also an Honorary Lecturer at the School of Computing, Macquarie University. She received her PhD degree from the University of Adelaide in Computer Science in 2017.
Dr Zhang’s research focuses mainly on big data analytics, text mining, machine learning and Internet of Things. She has >100 peer-reviewed publications; two-thirds of these citations have come in the last two years. Her publications include edited books and proceedings, refereed book chapters, and refereed technical papers in journals and conferences including ACM Computing Surveys (CURS), IEEE Communications Surveys and Tutorials (COMST), ACM Trans. on Sensor Networks (TOSN), ACM Trans. on Intelligent Systems and Technology (TIST), WWWJ, WWW, ACL, ACM SIGIR, WSDM, PerCom, and INFOCOM. Her TIST article was selected as the top 5 outstanding articles by Editor-in-Chief in 2022. Her PhD thesis had been published by Springer as a monograph. Dr Zhang is the top 100 authors worldwide, ranked by field-weighted citation impact, in the SciVal topic for Network Security.
Dr Zhang currently holds an ARC Early Career Industry Fellowship (IE230100119) and is the lead investigator of an ARC Discovery Project (DP240103070). Her work has received academia and industry funding (ARC, Google, DST, etc.) worth > AUD $3M within the past 5 years.
She has been actively engaged in professional services by serving as conference organizers, conference PC members and reviewer of journals such as ACM/IEEE Trans., IJCAI, ACL, WWW, and KDD, and assessors of ARC funding applications. She also continually develops her leadership by serving as Associate Head of People & Culture, Program Coordinator, Course Coordinator, and outreach contact at the school. She has six-year industry working experiences in multiple roles and has strong industry engagements.
She is the member of ACM, IEEE, and ACS.
Dr Zhang's interested areas include text mining, natural language processing, information retrieval and Internet of Things applications, but not limited to.
Her current research relates to three specific areas:
i) Text summarization;
ii) AIoT
iii) Adversarial attacks on deep neural models for text;
iv) Medical information extraction.
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Appointments
Date Position Institution name 2024 - ongoing Senior Lecturer University of Adelaide 2019 - 2023 Lecturer University of Adelaide 2017 - 2019 Postdoctoral Research Fellow Macquarie University -
Language Competencies
Language Competency Chinese (Mandarin) Can read, write, speak, understand spoken and peer review English Can read, write, speak, understand spoken and peer review -
Education
Date Institution name Country Title University of Adelaide Australia PhD -
Research Interests
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Journals
Year Citation 2025 Zhang, Y., Wang, Y., Sheng, Q. Z., Yao, L., Chen, H., Wang, K., . . . Zhao, R. (2025). Deep learning meets bibliometrics: A survey of citation function classification. Journal of Informetrics, 19(1).
2024 Yang, Z., Liu, Y., Gao, Z., Wen, G., Zhang, W. E., & Xiao, Y. (2024). Deep Convolutional Feature Enhancement for Remote Sensing Object Detection. IEEE Geoscience and Remote Sensing Letters.
2024 Kolbe, B. H., Coad, B., & Richter, K. (2024). Plasma-activated water’s potential contribution to ‘One Health’. Microbiology Australia, 45(2), 83-87.
Scopus22024 Wang, S., Zhang, H., Sheng, Q. Z., Li, X., Sun, Z., Cai, T., . . . Gao, Q. (2024). A Survey on Truth Discovery: Concepts, Methods, Applications, and Opportunities. IEEE Transactions on Big Data, 1-20.
2024 Cao, Y., Hu, X., Ng, C. T., & Smith, S. T. (2024). Diagnostic imaging of debonding in FRP-strengthened reinforced concrete structures using combinational harmonics generated by Rayleigh waves. Engineering Structures, 314, 118377.
2024 Yang, Z., Shen, Y., Hou, L., Zhang, W. E., & Chen, T. (2024). S<sup>3</sup>Seg: A Three-Stage Unsupervised Foreground and Background Segmentation Network. IEEE Signal Processing Letters, 31, 1484-1488.
2024 Duncker, D., & Linz, D. (2024). eCardiology in cardiac electrophysiology. Herzschrittmachertherapie und Elektrophysiologie, 35(2), 95-96.
Scopus1 Europe PMC12024 Kabiri, S., Tavakkoli, E., Navarro, D. A., Degryse, F., Grimison, C., Higgins, C. P., . . . McLaughlin, M. J. (2024). The complex effect of dissolved organic carbon on desorption of per- and poly-fluoroalkyl substances from soil under alkaline conditions. Environmental Pollution, 356, 124234-1-124234-9.
Scopus2 Europe PMC12024 Bates, A. E., Davies, M. A., Stuart-Smith, R. D., Lazzari, N., Lefcheck, J. S., Ling, S. D., . . . Baker, S. C. (2024). Overcome imposter syndrome: Contribute to working groups and build strong networks. Biological Conservation, 293, 110566-1-110566-7.
Scopus12024 Qi, A., Li, C., Evans, J. D., Zhao, Y., & Li, T. (2024). Self-Sorting of Interfacial Compatibility in MOF-Based Mixed Matrix Membranes. Angewandte Chemie - International Edition, 63(24), 6 pages.
Scopus1 Europe PMC12024 Li, W., Wang, J. -H., Yang, L., Li, Y., Yen, H. -Y., Chen, J., . . . Liu, M. (2024). High-Entropy Engineering of Cubic SiP with Metallic Conductivity for Fast and Durable Li-Ion Batteries.. Advanced materials (Deerfield Beach, Fla.), 36(26), e2314054.
Scopus72024 Thapaliya, K., Caughey, G. E., Crotty, M., Williams, H., Wesselingh, S. L., Roder, D., . . . Inacio, M. C. (2024). Primary, allied health, selected specialists, and mental health service utilisation by home care recipients in Australia before and after accessing the care, 2017–2019. Aging Clinical and Experimental Research, 36(1), 12 pages.
2024 Xue, B., Wu, R., Liu, B., An, H., Gao, R., Ma, K., . . . Kamran, M. (2024). Nutrient supplementation changes chemical composition of soil organic matter density fractions in desert steppe soil in northern China. Soil and Tillage Research, 241, 16 pages.
Scopus22024 Yang, Z., Liu, Y., Wen, G., Xia, X., Zhang, W. E., & Chen, T. (2024). Object Detection in Remote Sensing Images with Parallel Feature Fusion and Cascade Global Attention Head. IEEE Geoscience and Remote Sensing Letters, 21, 1-5.
Scopus12024 Su, K., Mu, L., Zhou, T., Kamran, M., & Yang, H. (2024). Intercropped alfalfa and spring wheat reduces soil alkali-salinity in the arid area of northwestern China. PLANT AND SOIL, 499(1-2), 275-292.
2024 Wootton, N., Nursey-Bray, M., Holland, S., & Gillanders, B. M. (2024). Better understanding ocean awareness: Insights from young people. Marine Policy, 164, 106159.
2024 Kleemann, D. O., Kelly, J. M., Foyster, K. M., Swinbourne, A. M., Weaver, A. C., & Walker, S. K. (2024). Effects of short and long – term nutrition and progesterone supplementation on the success of fixed – time artificial insemination in the ewe. Animal Reproduction Science, 265, 12 pages.
Scopus12024 Liu, B., Wu, R., Xue, B., Gao, R., An, H., Liu, L., . . . Kamran, M. (2024). Effects of nutrient addition on the composition and chemical characteristics of soil dissolved organic matter in a desert steppe in northern China. Land Degradation and Development, 35(4), 1365-1380.
Scopus12024 Cai, T., Lei, Q., Sheng, Q. Z., Cui, N., Yang, S., Yang, J., . . . Mahmood, A. (2024). Reconnecting the Estranged Relationships: Optimizing the Influence Propagation in Evolving Networks. IEEE Transactions on Knowledge and Data Engineering, 36(5), 1-14.
2024 Li, Z., Xie, Y., Zhang, W. E., Wang, P., Zou, L., Li, F., . . . Li, C. (2024). Disentangle interest trend and diversity for sequential recommendation. Information Processing and Management, 61(3), 103619.
Scopus32024 Yang, Z., Xia, X., Liu, Y., Wen, G., Zhang, W. E., & Guo, L. (2024). LPST-Det: Local-Perception-Enhanced Swin Transformer for SAR Ship Detection. Remote Sensing, 16(3), 483.
Scopus22024 Pittroff, S. M., Olsson, S., Doolette, A., Greiner, R., Richardson, A. E., & Nicolaisen, M. H. (2024). Erratum to: A novel microcosm to identify inherently competitive microorganisms with the ability to mineralize phytate in solum (Soil Ecology Letters, (2021), 3, 4, (367-382), 10.1007/s42832-021-0089-z). Soil Ecology Letters, 6(4), 1 page.
2024 Prike, T., Butler, L. H., & Ecker, U. K. H. (2024). Source-credibility information and social norms improve truth discernment and reduce engagement with misinformation online. Scientific Reports, 14(1), 6900-1-6900-11.
Scopus6 Europe PMC42023 Chen, W., Zhang, W. E., & Yue, L. (2023). Death comes but why: A multi-task memory-fused prediction for accurate and explainable illness severity in ICUs. World Wide Web, 26(6), 4025-4045.
Scopus12023 Ali, Q., Ahmad, M., Kamran, M., Ashraf, S., Shabaan, M., Babar, B. H., . . . Elshikh, M. S. (2023). Synergistic Effects of Rhizobacteria and Salicylic Acid on Maize Salt-Stress Tolerance. PLANTS-BASEL, 12(13), 17 pages.
2023 Sagar, S., Mahmood, A., Wang, K., Sheng, Q. Z., Pabani, J. K., & Zhang, W. E. (2023). Trust–SIoT: Towards Trustworthy Object Classification in the Social Internet of Things. IEEE Transactions on Network and Service Management, 20(2), 1-14.
Scopus19 WoS12023 Mahmood, A., Sheng, Q. Z., Zhang, W. E., Wang, Y., & Sagar, S. (2023). Toward a Distributed Trust Management System for Misbehavior Detection in the Internet of Vehicles. ACM Transactions on Cyber-Physical Systems, 7(3), 1-25.
Scopus102023 Chang, R., He, T., Han, Y., Xue, R., & Zhang, W. E. (2023). Geographical Imbalance and Influential Characteristics of the Green Building Market. Journal of Construction Engineering and Management, 149(10), 1-14.
Scopus32023 Yang, Z., Jia, X., Shen, Y., Yang, Y., Li, H., & Zhang, W. E. (2023). AMGAN: An Attribute-Matched Generative Adversarial Network for UAV Virtual Sample Generation. Neural Processing Letters, 55(6), 8131-8149.
2023 Ngo, L., Pham, L. Q. A., Tukova, A., Hassanzadeh-Barforoushi, A., Zhang, W., & Wang, Y. (2023). Emerging integrated SERS-microfluidic devices for analysis of cancer-derived small extracellular vesicles. Lab on a Chip, 23(13), 2899-2921.
WoS1 Europe PMC72023 Ma, C., Zhang, W. E., Guo, M., Wang, H., & Sheng, Q. Z. (2023). Multi-document Summarization via Deep Learning Techniques: A Survey. ACM COMPUTING SURVEYS, 55(5), 37 pages.
Scopus51 WoS152023 Tran, D. H., Sheng, Q. Z., Zhang, W. E., Tran, N. H., & Khoa, N. L. D. (2023). CupMar: A deep learning model for personalized news recommendation based on contextual user-profile and multi-aspect article representation. World Wide Web, 26(2), 713-732.
Scopus6 WoS22023 Shu, Y., Zhang, J., Zhang, W. E., Zuo, D., & Sheng, Q. Z. (2023). IQSrec: An Efficient and Diversified Skyline Services Recommendation on Incomplete QoS. IEEE Transactions on Services Computing, 16(3), 1934-1948.
Scopus8 WoS22023 Seeley, M., Gallagher, C., Langdon, A., Ong, E., Bailey, D., Chieng, J., & Lau, D. (2023). Autonomic Dysfunction is Prevalent in Post-Acute Sequelae of COVID-19 [PASC]. Heart, Lung and Circulation, 32, S327.
2023 Lambiase, P. D., Sanders, P., & Crijns, H. J. G. M. (2023). The year in cardiovascular medicine 2022: the top 10 papers in arrhythmias. Cardiologia Hungarica, 53(3), 189-192. 2022 Pavón-Vázquez, C. J., Esquerré, D., Fitch, A. J., Maryan, B., Doughty, P., Donnellan, S. C., & Keogh, J. S. (2022). Between a rock and a dry place: phylogenomics, biogeography, and systematics of ridge-tailed monitors (Squamata: Varanidae: Varanus acanthurus complex). Molecular Phylogenetics and Evolution, 173, 19 pages.
Scopus5 Europe PMC32022 Liu, G., Chen, K., Huang, J., & Deng, X. (2022). Analysis of the Spatiotemporal Heterogeneity of Housing Prices’ Association in China: An Urban Agglomeration Perspective. Buildings, 12(7), 25 pages.
Scopus12022 Wang, Y., Deng, J., Zhou, W., & Li, H. (2022). Weakly Supervised Temporal Adjacent Network for Language Grounding. IEEE Transactions on Multimedia, 24, 3276-3286.
Scopus302022 Zhang, Y., Zhao, R., Wang, Y., Chen, H., Mahmood, A., Zaib, M., . . . Sheng, Q. Z. (2022). Correction to: Towards employing native information in citation function classification (Scientometrics, (2022), 10.1007/s11192-021-04242-0). Scientometrics, 127(11), 1 page.
2022 Cai, T., Yang, S., Li, J., Sheng, Q. Z., Yang, J., Wang, X., . . . Gao, L. (2022). Incremental Graph Computation: Anchored Vertex Tracking in Dynamic Social Networks. IEEE Transactions on Knowledge and Data Engineering, 35(7), 7030-7044.
Scopus6 WoS42022 Zaib, M., Zhang, W. E., Sheng, Q. Z., Mahmood, A., & Zhang, Y. (2022). Conversational question answering: a survey. Knowledge and Information Systems, 64(12), 3151-3195.
Scopus51 WoS92022 Hussain, Z., Sheng, Q. Z., Zhang, W. E., Ortiz, J., & Pouriyeh, S. (2022). Non-invasive Techniques for Monitoring Different Aspects of Sleep: A comprehensive review. ACM Transactions on Computing for Healthcare, 3(2), 1-26.
Scopus252022 Mahmood, A., Siddiqui, S. A., Sheng, Q. Z., Zhang, W. E., Suzuki, H., & Ni, W. (2022). Trust on wheels: Towards secure and resource efficient IoV networks. Computing, 104(6), 1337-1358.
Scopus23 WoS152022 Zhang, W. E., Chang, R., Zhu, M., & Zuo, J. (2022). Time Series Visualization and Forecasting from Australian Building and Construction Statistics. Applied Sciences, 12(5), 1-18.
Scopus12022 Zhang, Y., Zhao, R., Wang, Y., Chen, H., Mahmood, A., Zaib, M., . . . Sheng, Q. Z. (2022). Towards employing native information in citation function classification. Scientometrics, 127(11), 6557-6577.
Scopus11 WoS72022 Tran, D. H., Sheng, Q. Z., Zhang, W. E., Hamad, S. A., Khoa, N. L. D., & Tran, N. H. (2022). Deep Conversational Recommender Systems: Challenges and Opportunities. Computer, 55(4), 30-39.
Scopus3 WoS12022 Qu, Y., Zhang, W. E., Yang, J., Wu, L., & Wu, J. (2022). Knowledge-aware document summarization: A survey of knowledge, embedding methods and architectures. Knowledge-Based Systems, 257, 9 pages.
Scopus4 WoS12022 Yang, Z., Kong, J., Zheng, B., Li, M., Zhang, W. E., & Chen, T. (2022). Object Detection in Remote Sensing Images With Balanced Rotational and Horizontal Bounding Boxes. IEEE Geoscience and Remote Sensing Letters, 19, 5 pages.
Scopus22022 Ma, C., Zhang, W. E., Pitawela, P. D. D., Qu, Y., Zhuang, H., & Wang, H. (2022). Document-aware Positional Encoding and Linguistic-guided Encoding for
Abstractive Multi-document Summarization.2021 Nguyen, V. K., Zhang, W. E., & Mahmood, A. (2021). Semi-supervised Intrusive Appliance Load Monitoring in Smart Energy Monitoring System. ACM Transactions on Multimedia Computing, Communications and Applications, 17(3), 1-20.
Scopus9 WoS32021 Zhang, W. E., Shemshadi, A., Sheng, Q. Z., Qin, Y., Xu, X., & Yang, J. (2021). A user-oriented taxi ridesharing system with large-scale urban GPS sensor data. IEEE Transactions on Big Data, 7(2), 327-340.
WoS32021 Hussain, Z., Waterworth, D., Mahmood, A., Sheng, Q. Z., & Zhang, W. E. (2021). Dataset for toothbrushing activity using brush-attached and wearable sensors. Data in Brief, 37, 1-7.
Scopus4 WoS1 Europe PMC12021 Phan, M. H., Nguyen, Q., Phung, S. L., Zhang, W. E., Vo, T. D., & Sheng, Q. Z. (2021). CompactNet: A Light-Weight Deep Learning Framework for Smart Intrusive Load Monitoring. IEEE Sensors Journal, 21(22), 25181-25189.
Scopus62021 Tran, D. H., Sheng, Q. Z., Zhang, W. E., Aljubairy, A., Zaib, M., Hamad, S. A., . . . Khoa, N. L. D. (2021). HeteGraph: graph learning in recommender systems via graph convolutional networks. Neural Computing and Applications, 35(18), 13047-13063.
Scopus8 WoS92021 Oliver, P. M., Rittmeyer, E. N., Torkkola, J., Donnellan, S. C., Dahl, C., & Richards, S. J. (2021). Multiple trans-Torres Strait colonisations by tree frogs in the Litoria caerulea group, with the description of a new species from New Guinea. Australian Journal of Zoology, 68(1), 25-39.
Scopus32020 Ghorbaninejad, P., Mohammadpour, S., Djafari, F., Tajik, S., & Shab-Bidar, S. (2020). Dietary Total Antioxidant Capacity and Its Association with Renal Function and Progression of Chronic Kidney Disease in Older Adults: a Report from a Developing Country.. Clinical nutrition research, 9(4), 296-306.
Europe PMC42020 Fang, X. S., Sheng, Q. Z., Wang, X., Zhang, W. E., Ngu, A. H. H., & Yang, J. (2020). From appearance to essence: comparing truth discovery methods without using ground truth. ACM Transactions on Intelligent Systems and Technology, 11(6), 1-24.
Scopus4 WoS22020 Aljubairy, A., Zhang, W. E., Shemshadi, A., Mahmood, A., & Sheng, Q. Z. (2020). A system for effectively predicting flight delays based on IoT data. Computing, 102(9), 2025-2048.
Scopus5 WoS32020 Hamad, S. A., Sheng, Q. Z., Zhang, W. E., & Nepal, S. (2020). Realizing an Internet of Secure Things: a survey on issues and enabling technologies. IEEE Communications Surveys and Tutorials, 22(2), 1372-1391.
Scopus76 WoS512020 Hussain, Z., Sheng, Q. Z., & Zhang, W. E. (2020). A review and categorization of techniques on device-free human activity recognition. Journal of Network and Computer Applications, 167, 1-22.
Scopus115 WoS552020 Zhang, W. E., Sheng, Q. Z., Alhazmi, A., & Li, C. (2020). Adversarial Attacks on Deep-learning Models in Natural Language Processing. ACM Transactions on Intelligent Systems and Technology, 11(3), 41 pages.
Scopus402 WoS1742020 Kligerman, S., Horowitz, M., Jacobs, K., & Weihe, E. (2020). Imaging of Cardiac Support Devices. RADIOLOGIC CLINICS OF NORTH AMERICA, 58(1), 151-+.
2020 Bretani, G., Rossini, L., Ferrandi, C., Russell, J., Waugh, R., Kilian, B., . . . Fricano, A. (2020). Segmental duplications are hot spots of copy number variants affecting barley gene content. Plant Journal, 103(3), 1073-1088.
Scopus9 Europe PMC82019 Mahmood, A., Zhang, W. E., & Sheng, Q. Z. (2019). Software-defined heterogeneous vehicular networking: The architectural design and open challenges. Future Internet, 11(3), 1-17.
Scopus70 WoS462019 Liu, Z. Z., Sheng, Q. Z., Xu, X., Chu, D. H., & Zhang, W. E. (2019). Context-aware and Adaptive QoS Prediction for Mobile Edge Computing Services. IEEE Transactions on Services Computing, 15(1), 1-14.
Scopus28 WoS92019 Tran, N. K., Sheng, Q. Z., Ali Babar, M., Yao, L., Zhang, W. E., & Dustdar, S. (2019). Internet of things search engine. Communications of the ACM, 62(7), 66-73.
Scopus15 WoS112018 Zhang, W. E., Sheng, Q. Z., Lau, J. H., Abebe, E., & Ruan, W. (2018). Duplicate detection in programming question answering communities. ACM Transactions on Internet Technology, 18(3), 37-1-37-21.
Scopus18 WoS142018 Zhang, W. E., Sheng, Q. Z., Yao, L., Taylor, K., Shemshadi, A., & Qin, Y. (2018). A learning-based framework for improving querying on web interfaces of curated knowledge bases. ACM Transactions on Internet Technology, 18(3), 35-1-35-20.
Scopus4 WoS12018 Yao, L., Sheng, Q. Z., Wang, X., Zhang, W. E., & Qin, Y. (2018). Collaborative location recommendation by integrating multi-dimensional contextual information. ACM Transactions on Internet Technology, 18(3), 1-24.
Scopus41 WoS252018 Zhang, W. E., Sheng, Q. Z., & Dustdar, S. (2018). A Cache-based Optimizer for Querying Enhanced Knowledge Bases. 2018 Sheng, Q. Z., Yu, J., Xu, H., Zhang, W. E., Ngu, A. H. H., Han, J., & Liu, R. (2018). ContextServ: Towards Model-Driven Development of Context-AwareWeb
Services.2018 Zhang, W., Sheng, Q., Qin, Y., Taylor, K., & Yao, L. (2018). Learning-based SPARQL query performance modeling and prediction. World Wide Web, 21(4), 1015-1035.
Scopus21 WoS52018 Wurm, C. (2018). Foreword. Living Your Own Life: Existential Analysis in Action, xiii-xvii. 2017 Sheng, Q. Z., Zhang, W. E., & Shakshuki, E. (2017). Practices and applications in ambient and intelligent information systems. Personal and Ubiquitous Computing, 21(6), 1039-1040.
2017 Shemshadi, A., Sheng, Q., Qin, Y., Sun, A., Zhang, W., & Yao, L. (2017). Searching for the internet of things: where it is and what it looks like. Personal and Ubiquitous Computing, 21(6), 1097-1112.
Scopus17 WoS122011 Iddon, L., Leyton, J., Indrevoll, B., Glaser, M., Robins, E. G., George, A. J. T., . . . Aboagye, E. O. (2011). Synthesis and in vitro evaluation of [<sup>18</sup>F]fluoroethyl triazole labelled [Tyr<sup>3</sup>]octreotate analogues using click chemistry. Bioorganic and Medicinal Chemistry Letters, 21(10), 3122-3127.
Scopus47 Europe PMC261998 Zhang, W., Furusaki, S., & Middelberg, A. (1998). A phase-segregated model for plant cell culture: the effect of cell volume fraction. Journal of Chemical Engineering of Japan, 31(3), 469-474.
Scopus1 WoS21998 Zhang, W., Seki, M., Furusaki, S., & Middelberg, A. (1998). Anthocyanin synthesis, growth and nutrient uptake in suspension cultures of strawberry cells. Journal of Fermentation and Bioengineering, 86(1), 72-78.
Scopus19 WoS18- Zhuang, H., Zhang, W. E., Chen, W., Yang, J., & Sheng, Q. Z. (n.d.). Improving Faithfulness and Factuality with Contrastive Learning in Explainable Recommendation. ACM Transactions on Internet Technology.
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Books
Year Citation 2024 Hamad, S. A., Sheng, Q. Z., & Zhang, W. E. (2024). Security Framework for The Internet of Things Applications. CRC Press: CRC Press.
DOI2023 Mahmood, A., Sheng, M., Zhang, W. E., & Yongchareon, S. (2023). Trust Management in the Internet of Vehicles. New York, NY, USA: Chapman and Hall/CRC.
DOI Scopus12018 Zhang, W., & Sheng, Q. Z. (2018). Managing data from knowledge bases: Querying and extraction. Switzerland: Springer Nature.
DOI Scopus42013 Ghose, A., Zhu, H., Yu, Q., Delis, A., Sheng, Q., Perrin, O., . . . Wang, Y. (Eds.) (2013). Service-Oriented Computing - ICSOC 2012 Workshops. Germany: Springer.
DOI -
Book Chapters
Year Citation 2023 Flanery, P. (2023). Foe. In A. van der Vlies, & L. V. Graham (Eds.), The Bloomsbury Handbook to J.M. Coetzee (pp. 115-126). London: Bloomsbury Academic.
DOI2021 Sheng, Q. Z., Yu, J., Zhang, W. E., Wang, S., Li, X., & Benatallah, B. (2021). Designing and Building Context-Aware Services: The ContextServ Project. In M. Aiello, A. Bouguettaya, D. A. Tamburri, & W. -J. van den Heuvel (Eds.), Next-Gen Digital Services: A Retrospective and Roadmap for Service Computing of the Future (Vol. 12521 LNCS, pp. 138-152). Cham, Switzerland: Springer International Publishing.
DOI Scopus22020 Arrieta, M., Colas, I., Macaulay, M., Waugh, R., & Ramsay, L. (2020). A Modular Tray Growth System for Barley. In Methods in Molecular Biology (Vol. 2061, pp. 367-379). Springer New York.
DOI Scopus4 Europe PMC42017 Zhang, W. E., & Sheng, Q. Z. (2017). Searching the big data: Practices and experiences in efficiently querying knowledge bases. In A. Y. Zomaya, & S. Sakr (Eds.), Handbook of Big Data Technologies (pp. 429-453). Cham, Switzerland: Springer.
DOI Scopus12012 Goldhahn, J., & Fuglestvedt, I. (2012). Engendering North European Rock Art: Bodies and Cosmologies in Stone and Bronze Age Imagery. In A Companion to Rock Art (pp. 237-260). Wiley.
DOI Scopus16 -
Conference Papers
Year Citation 2024 Zhuang, H., Zhang, W. E., Dong, C. G., Yang, J., & Sheng, Q. Z. (2024). Trainable Hard Negative Examples in Contrastive Learning for Unsupervised Abstractive Summarization. In EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Findings of EACL 2024 (pp. 1589-1600). Online: Association for Computational Linguistics. 2024 Dong, C. G., Zheng, L. N., Chen, W., Zhang, W. E., & Yue, L. (2024). SWAP: Exploiting Second-Ranked Logits for Adversarial Attacks on Time Series. In Proceedings of the IEEE International Conference on Knowledge Graph (ICKG 2023) (pp. 117-125). Online: IEEE.
DOI2024 Zhuang, H., Zhang, W. E., Xie, L., Chen, W., Yang, J., & Sheng, Q. Z. (2024). Automatic, Meta and Human Evaluation for Multimodal Summarization with Multimodal Output. In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2024 Vol. 1 (pp. 7761-7783). Online: Association for Computational Linguistics (ACL).
DOI2024 Cai, T., Yang, S., Li, J., Sheng, Q. Z., Yang, J., Wang, X., . . . Gao, L. (2024). Incremental Graph Computation: Anchored Vertex Tracking in Dynamic Social Networks (Extended Abstract). In Proceedings - International Conference on Data Engineering (pp. 5723-5724). IEEE.
DOI2024 Ma, C., Zhang, W. E., Wang, H., Zhuang, H., & Guo, M. (2024). Disentangling Specificity for Abstractive Multi-document Summarization. In Proceedings of the International Joint Conference on Neural Networks (pp. 1-8). Yokohama, Japan: IEEE.
DOI2024 Zheng, L. N., Li, Z., Dong, C. G., Zhang, W. E., Yue, L., Xu, M., . . . Chen, W. (2024). Irregularity-Informed Time Series Analysis: Adaptive Modelling of Spatial and Temporal Dynamics. In International Conference on Information and Knowledge Management, Proceedings (pp. 3405-3414).
DOI2024 Zheng, L. N., Dong, C. G., Zhang, W. E., Chen, X., Yue, L., & Chen, W. (2024). Devil in the Tail: A Multi-Modal Framework for Drug-Drug Interaction Prediction in Long Tail Distinction. In International Conference on Information and Knowledge Management, Proceedings (pp. 3395-3404).
DOI2023 Wen, Z., Zhang, W. E., Guo, L., & Chen, W. (2023). Demo Abstract: Navigating Indoors: A Cost-effective Drone-based Solution. In SenSys 2023 - Proceedings of the 21st ACM Conference on Embedded Networked Sensors Systems (pp. 496-497). TURKEY, Bahcesehir Univ, Istanbul: ASSOC COMPUTING MACHINERY.
DOI2023 Zhang, W., Chen, P., Yang, J., Tang, Y., & Su, J. (2023). A Capability Description Language Design for Data Products. In DEC '23: Proceedings of the Second ACM Data Economy Workshop (pp. 21-26). Seattle WA USA: ACM.
DOI2023 Zhang, Y., Wang, Y., Sheng, Q. Z., Mahmood, A., Zhang, W. E., & Zhao, R. (2023). Hybrid Data Augmentation for Citation Function Classification. In Proceedings of the International Joint Conference on Neural Networks (IJCNN, 2023) Vol. 2023-June (pp. 1-8). Online: IEEE.
DOI Scopus12023 Chen, C., Zhang, W. E., Shakeri, A. S., & Fiza, M. (2023). The Exploration of Knowledge-Preserving Prompts for Document Summarisation. In Proceedings of the International Joint Conference on Neural Networks Vol. 2023-June (pp. 8 pages). Online: IEEE.
DOI Scopus12023 Zaib, M., Sheng, Q. Z., Zhang, W. E., & Mahmood, A. (2023). Keeping the Questions Conversational: Using Structured Representations to Resolve Dependency in Conversational Question Answering. In Proceedings of the International Joint Conference on Neural Networks (IJCNN 2023) Vol. 2023-June (pp. 1-7). Online: IEEE.
DOI2023 Zhang, W. E., Chen, P., Yang, J., Su, J., & Sheng, Q. Z. (2023). Data Product-Oriented Services for Data Ecosystem. In Proceedings - 2023 IEEE International Conference on Web Services, ICWS 2023 (pp. 755-762). Online: IEEE.
DOI2023 Zaib, M., Zhang, W. E., Sheng, Q. Z., Sagar, S., Mahmood, A., & Zhang, Y. (2023). Learning to Select the Relevant History Turns in Conversational Question Answering. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 14306 LNCS (pp. 334-348). Online: Springer Nature Singapore.
DOI Scopus22023 Guo, L., Zhang, W. E., Chen, W., Yang, N., Nguyen, Q., & Vo, T. D. (2023). Oyster Mushroom Growth Stage Identification: An Exploration of Computer Vision Technologies. In Proceedings of the 36th Australasian Joint Conference on Artificial Intelligence Vol. 14471 (pp. 67-78). Brisbane, QLD: Springer Nature Singapore.
DOI2023 Zhang, W. E., Mahmood, A., Deng, L., & Zhu, M. (2023). SimSumIoT: A Platform for Simulating the Summarisation from Internet of Things. In WSDM 2023 - Proceedings of the 16th ACM International Conference on Web Search and Data Mining (pp. 1188-1191). Online: ACM.
DOI2022 Ma, C., Zhang, W. E., Wang, H., Gupta, S., & Guo, M. (2022). Incorporating Linguistic Knowledge for Abstractive Multi-document Summarization. In S. Dita, A. O. Trillanes, & R. I. Lucas (Eds.), Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation, PACLIC 2022 (pp. 147-156). Online: De La Salle University. 2022 Zhuang, H., Zhang, W. E., Yang, J., Ma, C., Qu, Y., & Sheng, Q. Z. (2022). Learning From the Source Document: Unsupervised Abstractive Summarization. In Findings of the Association for Computational Linguistics: EMNLP 2022 (pp. 4223-4234). Online: Association for Computational Linguistics (ACL).
Scopus22022 Liu, N., Dras, M., & Zhang, W. E. (2022). Detecting Textual Adversarial Examples Based on Distributional Characteristics of Data Representations. In PROCEEDINGS OF THE 7TH WORKSHOP ON REPRESENTATION LEARNING FOR NLP (pp. 78-90). Online: ASSOC COMPUTATIONAL LINGUISTICS-ACL.
DOI Scopus5 WoS12022 Mahmood, A., Sheng, Q. Z., Siddiqui, S. A., Sagar, S., Zhang, W. E., Suzuki, H., & Ni, W. (2022). When Trust Meets the Internet of Vehicles: Opportunities, Challenges, and Future Prospects. In Proceedings of the 7th IEEE International Conference on Collaboration and Internet Computing (CIC 2021) (pp. 60-67). Online: IEEE.
DOI Scopus15 WoS42022 Aljubairy, A., Alhazmi, A., Zhang, W. E., Sheng, Q. Z., & Tran, D. H. (2022). Towards a Deep Learning-Driven Service Discovery Framework for the Social Internet of Things: A Context-Aware Approach. In Web Information Systems Engineering – WISE 2021 Vol. 13081 LNCS (pp. 480-488). Melbourne, VIC, Australia: Springer International Publishing.
DOI Scopus22022 Aljubairy, A., Alhazmi, A., Zhang, W. E., Sheng, Q. Z., & Tran, D. H. (2022). A Fast and Accurate Approach for Inferencing Social Relationships Among IoT Objects. In B. Li, L. Yue, J. Jiang, W. Chen, X. Li, G. Long, . . . H. Yu (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 13088 LNAI (pp. 83-94). Online: SPRINGER INTERNATIONAL PUBLISHING AG.
DOI2022 Zhang, W. E., & Nguyen, Q. (2022). Constructing COVID-19 Knowledge Graph from A Large Corpus of Scientific Articles. In Proceedings - 12th IEEE International Conference on Big Knowledge, ICBK 2021 (pp. 237-244). online: IEEE.
DOI Scopus52022 Hamad, S. A., Tran, D. H., Sheng, Q. Z., & Zhang, W. E. (2022). BERTDeep-Ware: A Cross-architecture Malware Detection Solution for IoT Systems. In 2021 IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) (pp. 927-934). online: IEEE.
DOI Scopus4 WoS12021 Chen, D., Zhang, W., Shao, K., & Zhao, W. (2021). Interpretable Analysis of NARX Neural Network Prediction MPA-AUC. In Proceedings - 2021 International Conference on Artificial Intelligence, BigData and Algorithms, CAIBDA 2021 (pp. 233-237). Piscataway, New Jersey: IEEE.
DOI2021 Zhang, Y., Wang, Y., Sheng, Q. Z., Mahmood, A., Emma Zhang, W., & Zhao, R. (2021). TDM-CFC: Towards Document-Level Multi-label Citation Function Classification. In W. Zhang, L. Zou, Z. Maamar, & L. Chen (Eds.), Proceedings of the 22nd International Conference on Web Information Systems Engineering (WISE, 2022) as published in Lecture Notes in Computer Science Vol. 13081 (pp. 363-376). Melbourne, Australia: Springer.
DOI Scopus7 WoS12021 Luo, Q., Liu, L., Lin, Y., & Zhang, W. (2021). Don't Miss the Labels: Label-semantic Augmented Meta-Learner for Few-Shot Text Classification. In C. Zong, F. Xia, W. Li, & R. Navigli (Eds.), Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 (pp. 2773-2782). Stroudsburg, PA, USA: Association for Computational Linguistics.
DOI Scopus452021 Zhang, W. E., Liu, M., Pallath, A., & Tamilventhan, G. (2021). A Web-based Knowledge Hub for Exploration of Multiple Research Article Collections. In SIGIR 2021 - Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 2556-2559). ELECTR NETWORK: ASSOC COMPUTING MACHINERY.
DOI2021 Alhazmi, A., Aljubairy, A., Zhang, W. E., Sheng, Q. Z., & Alhazmi, E. (2021). A Unified Framework for Improving Misclassifications in Modern Deep Neural Networks for Sentiment Analysis. In Proceedings of the International Joint Conference on Neural Networks Vol. 2021-July (pp. 1-7). Shenzhen, China: IEEE.
DOI2021 Hussain, Z., Waterworth, D., Aldeer, M., Zhang, W. E., Sheng, Q. Z., & Ortiz, J. (2021). Do You Brush Your Teeth Properly? An Off-body Sensor-based Approach for Toothbrushing Monitoring. In Proceedings of the IEEE International Conference on Digital Health, (ICDH 2021) (pp. 59-69). Piscataway, NJ: IEEE.
DOI Scopus52021 Zhang, Y., Chang, R., Zuo, J., & Zhang, W. E. (2021). Transition towards Solar-Powered built environment: spatial distributions and impacting factors of Australian solar installations. In IOP Conference Series: Materials Science and Engineering Vol. 1196 (pp. 012024-1-012024-6). United Kingdom: IOP Publishing.
DOI2021 Tran, D. H., Hamad, S., Zaib, M., Aljubairy, A., Sheng, Q. Z., Zhang, W. E., . . . Khoa, N. L. D. (2021). Deep News Recommendation with Contextual User Profiling and Multifaceted Article Representation. In Web Information Systems Engineering – WISE 2021 Vol. 13081 LNCS (pp. 237-251). Switzerland: Springer International Publishing.
DOI Scopus3 WoS22021 Das, A., & Zhang, W. E. (2021). ABSA-Bench: Towards the Unified Evaluation of Aspect-based Sentiment Analysis Research. In Proceedings of the Australasian Language Technology Workshop Vol. 18. Virtual Online: Australasian Language Technology Association.
Scopus12021 Zaib, M., Tran, D. H., Sagar, S., Mahmood, A., Zhang, W. E., & Sheng, Q. Z. (2021). BERT-CoQAC: BERT-based conversational question answering in context. In Proceedings of the 11th International Symposium on Parallel Architectures, Algorithms and Programming (PAAP 2020), as published in Communications in Computer and Information Science Vol. 1362 (pp. 47-57). Singapore: Springer.
DOI Scopus82021 Hamad, S. A., Sheng, Q. Z., Tran, D. H., Zhang, W. E., & Nepal, S. (2021). A Behavioural Network Traffic Novelty Detection for the Internet of Things Infrastructures. In Communications in Computer and Information Science Vol. 1362 (pp. 174-186). Singapore: Springer.
DOI Scopus22020 Nguyen, V. K., Sheng, Q. Z., Mahmood, A., Zhang, W. E., & Duc Vo, T. (2020). Helibot-A Smart Distributed Energy Resources Platform for Futuristic Smart Grids. In Proceedings - 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGRID 2020 (pp. 898-901). online: IEEE.
DOI Scopus12020 Sagar, S., Mahmood, A., Sheng, Q. Z., & Zhang, W. E. (2020). Trust Computational Heuristic for Social Internet of Things: A Machine Learning-based Approach. In IEEE International Conference on Communications Vol. 2020-June (pp. 1-6). online: IEEE.
DOI Scopus38 WoS62020 Cao, Y., Chen, X., Yao, L., Wang, X., & Zhang, W. E. (2020). Adversarial attacks and detection on reinforcement learning-based interactive recommender systems. In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020) (pp. 1669-1672). online: Association for Computing Machinery.
DOI Scopus28 WoS152020 Nguyen, V. K., Phan, M. H., Zhang, W. E., Sheng, Q. Z., & Vo, T. D. (2020). A hybrid approach for intrusive appliance load monitoring in smart home. In Proceedings of the IEEE International Conference on Smart Internet of Things (SmartIoT 2020) (pp. 154-160). online: IEEE.
DOI Scopus32020 Tran, D. H., Aljubairy, A., Zaib, M., Sheng, Q. Z., Zhang, W. E., Tran, N. H., & Nguyen, K. L. D. (2020). HeteGraph: A Convolutional Framework for Graph Learning in Recommender Systems. In Proceedings of the International Joint Conference on Neural Networks (pp. 1-8). online: IEEE.
DOI Scopus52020 Alhazmi, A., Zhang, W. E., Sheng, Q. Z., & Aljubairy, A. (2020). Are modern deep learning models for sentiment analysis brittle? An examination on part-of-speech. In Proceedings of the International Joint Conference on Neural Networks (IJCNN 2020) (pp. 1-7). online: IEEE.
DOI Scopus12020 Alhazmi, A., Zhang, W. E., Sheng, Q. Z., & Aljubairy, A. (2020). Analyzing the sensitivity of deep neural networks for sentiment analysis: A scoring approach. In Proceedings of the International Joint Conference on Neural Networks (IJCNN 2020) (pp. 1-7). online: IEEE.
DOI Scopus22020 Zhang, W. E., Sheng, Q. Z., Mahmood, A., Tran, D. H., Zaib, M., Hamad, S. A., . . . Ma, C. (2020). The 10 Research Topics in the Internet of Things. In Proceedings of the 6th IEEE International Conference on Collaboration and Internet Computing (CIC 2020) (pp. 34-43). Piscataway, NJ, USA: IEEE.
DOI Scopus34 WoS192020 Tang, R., Ma, C., Zhang, W. E., Wu, Q., & Yang, X. (2020). Semantic Equivalent Adversarial Data Augmentation for Visual Question Answering. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 12364 LNCS (pp. 437-453). Switzerland: Springer International Publishing.
DOI Scopus262020 Hussain, Z., Waterworth, D., Aldeer, M., Zhang, W. E., & Sheng, Q. Z. (2020). Toothbrushing data and analysis of its potential use in human activity recognition applications: Dataset. In DATA 2020 - Proceedings of the 3rd Workshop on Data Acquisition To Analysis, Part of SenSys 2020, BuildSys 2020 (pp. 31-34). online: ACM.
DOI Scopus62020 Zaib, M., Sheng, Q. Z., & Zhang, W. (2020). A short survey of pre-trained language models for conversational AI-A new age in NLP. In Proceedings of the Australasian Computer Science Week (ACSW'20) (pp. 1-4). online: Association for Computing Machinery.
DOI Scopus34 WoS152020 Aljubairy, A., Zhang, W. E., Sheng, Q. Z., & Alhazmi, A. (2020). SIoTPredict: A Framework for Predicting Relationships in the Social Internet of Things. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 12127 LNCS (pp. 101-116). Switzerland: Springer.
DOI Scopus19 WoS82020 Nguyen, V. K., Sheng, Q. Z., Mahmood, A., Zhang, W. E., Phan, M. H., & Vo, T. D. (2020). Demo abstract: an internet of plants system for micro gardens. In Proceedings of the 19th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN 2020) (pp. 355-356). online: IEEE.
DOI Scopus4 WoS12020 Sagar, S., Mahmood, A., Sheng, M., Zaib, M., & Zhang, W. (2020). Towards a machine learning-driven trust evaluation model for social internet of things: A time-aware approach. In PervasiveHealth: Pervasive Computing Technologies for Healthcare (pp. 283-290). Darmstadt, Germany.: ACM.
DOI Scopus16 WoS52020 Mai, D., & Zhang, W. E. (2020). Aspect Extraction Using Coreference Resolution and Unsupervised Filtering. In International Joint Conference on Natural Language Processing (IJCNLP) (pp. 117-122). Online: ASSOC COMPUTATIONAL LINGUISTICS-ACL. 2019 Siddiqui, S. A., Mahmood, A., Zhang, W. E., & Sheng, Q. Z. (2019). Poster: A Machine Learning based Hybrid Trust Management Heuristic for Vehicular Ad hoc Networks. In Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM (pp. 1-3). Los Cabos, Mexico: ACM.
DOI Scopus12019 Liu, Z., Sheng, Q. Z., Zhang, W. E., Chu, D., & Xu, X. (2019). Context-aware multi-QoS prediction for services in mobile edge computing. In Proceedings: 2019 IEEE International Conference on Services Computing - IEEE SCC 2019 - Part of the 2019 IEEE World Congress on Services (pp. 72-79). online: IEEE.
DOI Scopus6 WoS42019 Hussain, Z., Sagar, S., Zhang, W. E., & Sheng, Q. Z. (2019). A cost-effective and non-invasive system for sleep and vital signs monitoring using passive RFID tags. In ACM International Conference Proceeding Series (pp. 153-161). online: ACM.
DOI Scopus20 WoS82019 Mahmood, A., Siddiqui, S. A., Zhang, W. E., & Sheng, Q. Z. (2019). A hybrid trust management model for secure and resource efficient vehicular ad hoc networks. In Proceedings - 2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2019 (pp. 157-162). online: IEEE.
DOI Scopus72019 Mahmood, A., Butler, B., Zhang, W. E., Sheng, Q. Z., & Siddiqui, S. A. (2019). A Hybrid Trust Management Heuristic for VANETs. In 2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019 (pp. 748-752). online: IEEE.
DOI Scopus45 WoS322019 Shu, Y., Zhang, W. E., Liu, Y., Wang, C., Dong, J., Zhang, Z., . . . Zuo, D. (2019). Bottom-Up Teaching Reformation for the Undergraduate Course of Computer Organization and Architecture. In Communications in Computer and Information Science Vol. 1059 (pp. 303-312). Singapore: Springer Nature.
DOI Scopus12019 Nguyen, V. K., Zhang, W. E., Le, K., Mahmood, A., & Sheng, Q. Z. (2019). Demo Abstract: An End-to-End Real-Time Efficient System for Smart Energy Monitoring. In INFOCOM 2019 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2019 (pp. 957-958). Paris, FRANCE: IEEE.
DOI Scopus5 WoS42019 Hamad, S. A., Zhang, W. E., Sheng, Q. Z., & Nepal, S. (2019). IoT device identification via network-flow based fingerprinting and learning. In Proceedings - 2019 18th IEEE International Conference on Trust, Security and Privacy in Computing and Communications/13th IEEE International Conference on Big Data Science and Engineering, TrustCom/BigDataSE 2019 (pp. 103-111). online: IEEE.
DOI Scopus78 WoS342019 Siddiqui, S. A., Mahmood, A., Zhang, W. E., & Sheng, Q. Z. (2019). Machine learning based trust model for misbehaviour detection in internet-of-vehicles. In Communications in Computer and Information Science Vol. 1142 CCIS (pp. 512-520). Switzerland: Springer Nature.
DOI Scopus26 WoS152019 Mahmood, A., Zhang, W. E., & Sheng, Q. Z. (2019). Overcoming the bottlenecks in next-generation heterogeneous vehicular networks - Is SDN the optimal solution?. In ACM International Conference Proceeding Series (pp. 1-4). online: ACM.
DOI2018 Nguyen, V. K., Zhang, W. E., & Sheng, Q. Z. (2018). Identifying price index classes for electricity consumers via dynamic gradient boosting. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11234 LNCS (pp. 472-486). Switzerland: Springer.
DOI Scopus2 WoS12018 Zhang, W. E., Sheng, Q. Z., Tang, Z., & Ruan, W. (2018). Related or duplicate: Distinguishing similar CQA questions via convolutional neural networks. In 41st International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018 (pp. 1153-1156). online: ASSOC COMPUTING MACHINERY.
DOI Scopus9 WoS72018 Tran, D. H., Hussain, Z., Zhang, W. E., Khoa, N. L. D., Tran, N. H., & Sheng, Q. Z. (2018). Deep autoencoder for recommender systems: Parameter influence analysis. In Proceedings of the 29th Australasian Conference on Information Systems (ACIS2018) (pp. 1-12). Sydney: University of Technology Sydney ePress.
DOI Scopus42017 Ruan, W., Xu, P., Sheng, Q., Falkner, N., Li, X., & Zhang, W. (2017). Recovering missing values from corrupted spatio-temporal sensory data via robust low-rank tensor completion. In S. Candan, L. Chen, T. Pedersen, L. Chang, & W. Hua (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 10177 LNCS (pp. 607-622). Suzhou, PEOPLES R CHINA: SPRINGER INTERNATIONAL PUBLISHING AG.
DOI Scopus13 WoS112017 Zhang, W. E., Sheng, Q. Z., Lau, J. H., & Abebe, E. (2017). Detecting duplicate posts in programming qa communities via latent semantics and association rules. In 26th International World Wide Web Conference, WWW 2017 (pp. 1221-1229). Perth, Australia: ASSOC COMPUTING MACHINERY.
DOI Scopus56 WoS362017 Shu, Y., Zuo, D., Liu, H., Sheng, Q. Z., Zhang, W. E., & Yang, J. (2017). A tree-based reliability analysis for fault-tolerant web services composition. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 10601 LNCS (pp. 481-489). Online: Springer Verlag.
DOI Scopus2 WoS22017 Zhang, W. E., Sheng, Q. Z., Shu, Y., & Nguyen, V. K. (2017). Feature analysis for duplicate detection in programming QA communities. In G. Cong, W. C. Peng, W. E. Zhang, C. Li, & A. Sun (Eds.), Proceedings of the 13th International Conference on Advanced Data Mining and Applications, as published in Advanced Data Mining and Applications ( Lecture Notes in Computer Science) Vol. 10604 (pp. 623-638). Switzerland: SPRINGER INTERNATIONAL PUBLISHING AG.
DOI Scopus8 WoS72017 Nguyen, V. K., Zhang, W. E., Sheng, Q. Z., & Merefield, J. (2017). Mining load profile patterns for australian electricity consumers. In G. Cong, W. C. Peng, W. E. Zhang, C. Li, & A. Sun (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 10604 LNAI (pp. 781-793). Online: SPRINGER INTERNATIONAL PUBLISHING AG.
DOI2017 Zhang, Y., Szabo, C., Sheng, Q., Zhang, W., & Qin, Y. (2017). Identifying domains and concepts in short texts via partial taxonomy and unlabeled data. In E. Dubois, & K. Pohl (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 10253 LNCS (pp. 127-143). Essen, GERMANY: SPRINGER INTERNATIONAL PUBLISHING AG.
DOI Scopus3 WoS42016 Qin, Y., Wang, H., Zhang, J., Tao, X., Zhang, W., Taylor, K., & Sheng, Q. (2016). Efficient algorithms for scheduling XML data in a mobile wireless broadcast environment. In Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS Vol. 2016-January (pp. 725-732). Melbourne, AUSTRALIA: IEEE.
DOI WoS22016 Zhang, W., Sheng, Q., Qin, Y., Yao, L., Shemshadi, A., & Taylor, K. (2016). SECF: Improving SPARQL Querying performance with proactive fetching and Caching. In Proceedings of the ACM Symposium on Applied Computing Vol. 04-08-April-2016 (pp. 362-367). online: ACM.
DOI Scopus82016 Zhang, W., Abebe, E., Sheng, Q., & Taylor, K. (2016). Towards building open knowledge base from programming question-answering communities. In CEUR Workshop Proceedings Vol. 1690 (pp. 4 pages). online: CEUR. 2016 Ruan, W., Sheng, Q., Xu, P., Tran, N., Falkner, N., Li, X., & Zhang, W. (2016). Forecasting seasonal time series using weighted gradient RBF network based autoregressive model. In Proceedings of the 25th International Conference on Information and Knowledge Management Vol. 24-28-October-2016 (pp. 2021-2024). Indianapolis, IN: ACM.
DOI Scopus4 WoS22016 Ruan, W., Xu, P., Sheng, Q., Tran, N., Falkner, N., Li, X., & Zhang, W. (2016). When sensor meets tensor: filling missing sensor values through a tensor approach. In Proceedings of the 25th ACM International on Conference on Information and Knowledge Management Vol. 24-28-October-2016 (pp. 2025-2028). Indianapolis, IN: ACM.
DOI Scopus5 WoS52016 Zhang, W., Sheng, Q., Taylor, K., Qin, Y., & Yao, L. (2016). Learning-based SPARQL query performance prediction. In W. Cellary, M. Mokbel, J. Wang, H. Wang, R. Zhou, & Y. Zhang (Eds.), Web Information Systems Engineering Vol. 10041 LNCS (pp. 313-327). Shanghai, Peoples R China: Springer.
DOI Scopus4 WoS22016 Zhang, W., Tan, M., Sheng, Q., Yao, L., & Shi, Q. (2016). Efficient orthogonal non-negative matrix factorization over stiefel manifold. In Proceedings of the 25th ACM International Conference on Information and Knowledge Management (CIKM '16) Vol. 24-28-October-2016 (pp. 1743-1752). Indianapolis, IN, USA: Association for Computing Machinery (ACM).
DOI Scopus9 WoS62016 Zhang, W., Sheng, Q., Abebe, E., Ali Babar, M., & Zhou, A. (2016). Mining source code topics through topic model and words embedding. In Advanced Data Mining and Applications Vol. 10086 LNAI (pp. 664-676). Gold Coast, Qld: Springer.
DOI Scopus22016 Alfazi, A., Sheng, Q., Zhang, W., Yao, L., & Noor, T. (2016). Identification as a service: Large-scale cloud service discovery over the world wide web. In C. Pu, G. Fox, & E. Damiani (Eds.), Proceedings - 2016 IEEE International Congress on Big Data, BigData Congress 2016 (pp. 485-492). San Francisco, CA: IEEE.
DOI Scopus4 WoS42015 Zhang, W., Sheng, Q., Taylor, K., & Qin, Y. (2015). Identifying and caching hot triples for efficient rdf query processing. In M. Renz, C. Shahabi, X. Zhou, & M. Cheema (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 9050 (pp. 259-274). Hanoi, VIETNAM: SPRINGER-VERLAG BERLIN.
DOI Scopus13 WoS42015 Yao, L., Wang, X., Sheng, Q., Ruan, W., & Zhang, W. (2015). Service recommendation for mashup composition with implicit correlation regularization. In J. Miller (Ed.), Proceedings 2015 IEEE International Conference on Web Services (pp. 217-224). New York, NY: IEEE.
DOI Scopus45 WoS362015 Qin, Y., Sheng, Q., & Zhang, W. (2015). SIEF: Efficiently Answering Distance Queries for Failure Prone Graphs. In G. Alonso, F. Geerts, L. Popa, P. Barceló, J. Teubner, M. Ugarte, . . . J. Paredaens (Eds.), Proceedings of the 18th International Conference on Extending Database Technology (pp. 145-156). online: OpenProceedings.
DOI Scopus102014 Shemshadi, A., Sheng, Q., & Zhang, W. (2014). A decremental search approach for large scale dynamic ridesharing. In B. Benatallah, A. Bestavros, Y. Manolopoulos, A. Vakali, & Y. Zhang (Eds.), Web Information Systems Engineering – WISE 2014: Proceedings Part 1 Vol. 8786 (pp. 202-217). Thessaloniki, Greece: Springer.
DOI Scopus6 WoS62014 Qin, Y., Sheng, Q., Falkner, N., Zhang, W., & Wang, H. (2014). Indexing linked data in a wireless broadcast system with 3D Hilbert space-filling curves. In X. Wang (Ed.), Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management (pp. 1775-1778). Shanghai, China: ACM.
DOI -
Conference Items
Year Citation 2014 Zhang, W. (2014). Graph-based Large Scale RDF Data Compression. Poster session presented at the meeting of SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval. Gold Coast, AUSTRALIA: ASSOC COMPUTING MACHINERY.
DOI Scopus1 WoS1 -
Report for External Bodies
Year Citation - Gregory L. Baker., Ruby N. Ghosh., D.J. Osborn III., & Po Zhang. (n.d.). Fiber Optical Micro-detectors for Oxygen Sensing in Power Plants. Office of Scientific and Technical Information (OSTI).
DOI -
Preprint
Year Citation 2024 Dong, C., Zheng, L., & Chen, W. (2024). Kolmogorov-Arnold Networks (KAN) for Time Series Classification and
Robust Analysis.2024 Dong, C., Li, Z., Zheng, L., Chen, W., & Zhang, W. E. (2024). Boosting Certified Robustness for Time Series Classification with
Efficient Self-Ensemble.2023 Liffner, B., Cepeda Diaz, A. K., Blauwkamp, J., Anaguano, D., Frölich, S., Muralidharan, V., . . . Absalon, S. (2023). Atlas of Plasmodium falciparum intraerythrocytic development using expansion microscopy.
DOI2023 Cooper, L., Xu, H., Polmear, J., Szeto, C., Pang, E. S., Gupta, M., . . . Good-Jacobson, K. (2023). Type I interferon dynamics determines memory B cell epigenetic identity in chronic viral infection.
DOI2023 Ying Li, C. M., Tomita, Y., Dhakal, B., Tin, T., Li, R., Wright, J. A., . . . Fenix, K. (2023). Generation and assessment of cytokine-induced killer cells for the treatment of colorectal cancer liver metastases.
DOI2023 Dong, C. G., Zheng, L. N., Chen, W., Zhang, W. E., & Yue, L. (2023). SWAP: Exploiting Second-Ranked Logits for Adversarial Attacks on Time
Series.2022 Gruber, E., So, J., Lewis, A., Franich, R., Cole, R., Martelotto, L., . . . Kats, L. (2022). Inhibition of mutant IDH1 promotes cycling of acute myeloid leukemia stem cells.
DOI
Grants Cat 1
● 2024-2027, Discovery Project, DP240103070 (Australian Research Council), AUD $292,330. “Towards knowledge discovery from imperfect and evolving data”, Wei Zhang, Miao Xu, Weitong Cheng and Olaf Maennel. Lead Investigator.
● 2023-2026, Early-Career Industry Fellowships, IE230100119 (Australian Research Council). “Towards Internet of Things Enabled Automated Mushroom Cultivation”, Wei Zhang.
● 2020-2023, Discovery Project, DP200102298 (Australian Research Council). “What Can You Trust in the Large and Noisy Web?”, Michael Sheng, Jan Yang, Wei Zhang and Schahram Dustdar. Chief Investigator.
Grants Cat 2
● 2023-2026, CSIRO Next Generation Graduates Program. “Transformation of data-to-data products for a trusted data-driven economy: technology innovation and application”, Jian Yang, Amin Beheshti, Jia Wu, Wei Zhang, Yuval Yarom, Stephanie Huang, and 7 industry companies. Chief Investigator.
● 2021-2022, Defence Innovation Partnership: AI for Decision Making Initiative 2021 (Round One, Phase Two) by Office of National Intelligence. “Contextually Situated Anomaly Detection”, Markus Wagner, Chetan Arora, Menasha Thilakaratne, Christoph Treude, Wei Zhang. Chief Investigator.
● 2021 Defence Innovation Partnership: AI for Decision Making Initiative 2021 (Round One, Phase One) by Office of National Intelligence. “Automated Glossary Generation from Effective and Efficient Information Extraction from Text Data”, Wei Zhang. Sole Investigator.
Grants Cat 3
● 2022-2023 Industry Collaboration Fund. “Construction environment monitoring”, Wei Zhang, Jian Zuo, Ruidong Chang and Lingqiao Liu. Lead Investigator.
● 2020-2021, Google Academic Research Grants. “A Benchmark Platform for Aspect-based Sentiment Analysis”, Wei Zhang. Sole Investigator.
UoA & Faculty Funding
● 2022, ABLE’s Internal Research Funding Schemes, The University of Adelaide. “Analyzing the Profile of Mood States to Study Financial Markets Bubbles”, Ivan Indriawan, Marta Khomyn and Wei Zhang. Partner Investigator.
● 2022, Barbara Kidman Women's Fellowship, The University of Adelaide. “Exploring the Technique Combination of Internet of Things and Natural Language Processing for Multi-Document Summarization”, Wei Zhang.
● 2021-2022, COVID Recognition Fund, The University of Adelaide. “Information Retrieval for Multi-Document Summarization”, Wei Zhang. Sole Investigator.
● 2021 Early Career Researcher Seed Funding, The University of Adelaide. “Constructing Knowledge Graph for Green Building Information Modelling”, Wei Zhang, Ruidong Chang, Jian Zuo and Lingqiao Liu. Lead Investigator.
● 2021 Early Career Researcher Seed Funding, The University of Adelaide. “Matching Building Information Modelling with real-world construction: Developing a real-time construction monitoring system through on-site sensing and computer vision”, Ruidong Chang, Wei Zhang, Jian Zuo and Lingqiao Liu. Chief Investigator.
2023 Course coordinator, Artificial Intelligence (COMP SCI 3007/7059)
2022 Course design, coordinator, Concepts in Artificial Intelligence and Machine Learning (COMP SCI 7327)
Course design, Data Science Research Project Part A/B (DATA 7303AOL/7303BOL)
Course coordinator, Artificial Intelligence Technology (TECH 1004)
Course coordinator, Big Data Analysis and Project (COMP SCI 7209)
Course coordinator, Big Data Analysis and Industry Project (COMP SCI 7319OL)
Lecturer, Artificial Intelligence (COMP SCI 3007/7059)
Lecturer, Applied Natural Language Processing (COMP SCI 4417/4817/7417)
2021 Course design: Big Data Analysis and Industry Project (COMP SCI 7319OL)
Course coordinator, Distributed Database and Data Mining (COMP SCI 4094/4194/7094)
Course coordinator, Big Data Analysis and Project (COMP SCI 7209)
Course coordinator, Artificial Intelligence Technology (TECH 1004)
Lecturer, Artificial Intelligence (COMP SCI 3007/7059)
2020 Course coordinator, Distributed Database and Data Mining (COMP SCI 4094/4194/7094)
Course design, coordinator, Artificial Intelligence Technology (TECH 1004)
Course coordinator, Object Oriented Programming SGDE (COMP SCI 1102SGDE)
Lecturer, Artificial Intelligence (COMP SCI 3007/7059)
2019 Course coordinator, Software Engineering & Project (COMP SCI 3006/3310/3311/3312/3313/7015)
Course coordinator, Big Data Analysis and Project (COMP SCI 7209)
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Current Higher Degree by Research Supervision (University of Adelaide)
Date Role Research Topic Program Degree Type Student Load Student Name 2024 Principal Supervisor Faithfulness and Factuality in Document Summarisation Doctor of Philosophy Doctorate Full Time Mr Mong Yuan Sim 2024 Co-Supervisor Cutting-Edge Artificial Intelligence in Smart and Digital Agriculture Doctor of Philosophy Doctorate Full Time Ms Lipin Guo 2023 Co-Supervisor Warm-Starting Reinforcement Learning in Complex Environments Doctor of Philosophy Doctorate Part Time Miss Lauren Yvette Taylor 2023 Principal Supervisor Leveraging Knowledge-aware Methodologies for Multi-document Summarization Doctor of Philosophy Doctorate Full Time Miss Yutong Qu 2023 Co-Supervisor Collaborative Multi-Agent Reinforcement Learning Doctor of Philosophy Doctorate Part Time Mr Rohit Gopalan 2023 Principal Supervisor Learning from imperfect and evolving data Doctor of Philosophy Doctorate Full Time Mr Chang Dong 2023 Principal Supervisor Federated learning for data product generation Doctor of Philosophy Doctorate Full Time Mr Ali Shakeri 2023 Principal Supervisor Can Active Learning and Federated Learning Help Sensitive Information Protection Master of Philosophy Master Full Time Mr Lishan Yang 2021 Co-Supervisor Reducing the impacts of airborne particulate matters from construction sites: Integrating field monitoring and BIM-based CFD Doctor of Philosophy Doctorate Full Time Miss Xingyue Fang 2021 Principal Supervisor Towards Building Robust Natural Language Processing Models Doctor of Philosophy Doctorate Full Time Mr Haojie Zhuang 2019 Co-Supervisor Unsupervised learning in Natural Language Processing Doctor of Philosophy Doctorate Part Time Mr Qiaoyang Luo -
Past Higher Degree by Research Supervision (University of Adelaide)
Date Role Research Topic Program Degree Type Student Load Student Name 2020 - 2024 Principal Supervisor Deep Learning Based Multi-document Summarization Doctor of Philosophy Doctorate Full Time Ms Congbo Ma 2020 - 2022 Co-Supervisor Machine Learning Approaches to Automated Mechanism Design for Public Project Problem Doctor of Philosophy Doctorate Full Time Dr Guanhua Wang -
Other Supervision Activities
Date Role Research Topic Location Program Supervision Type Student Load Student Name 2019 - ongoing Co-Supervisor Neural Dialogue Systems in Smart Space Macquarie University - Doctorate - Munazza Zaib 2019 - ongoing Co-Supervisor Trust Management in Internet of Vehicles Macquarie University - Doctorate Full Time Sarah Ali Siddiqui 2019 - ongoing Co-Supervisor Trust Management in Block Chain Macquarie University - Doctorate Full Time Subhash Sagar 2018 - ongoing Co-Supervisor Adversarial Attacks on Textual Deep Neural Models Macquarie University - Doctorate Full Time Ahoud Abdultahmn F Alhazmi 2018 - ongoing Co-Supervisor Dynamic Graph Analysis Macquarie University - Doctorate Full Time Abdulwahab Mohammed M Aljubairy 2018 - ongoing Co-Supervisor Recommendation Systems Macquarie Unversity - Doctorate Full Time Dai Hoang Tran 2017 - ongoing Co-Supervisor Internet of Secure Things Macquarie Unversity - Doctorate Full Time Salma Abdalla 2017 - ongoing Co-Supervisor Activity Recognition Macquarie University - Doctorate Full Time Zawar Hussain 2017 - ongoing Co-Supervisor Software-Defined Networks Macquarie University - Doctorate Full Time Adnan Qureshi 2017 - ongoing Co-Supervisor Data Analysis on Energy Usage Macquarie University - Doctorate Full Time Khuyen Nguyen
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