Dr Wei Zhang

Senior Lecturer

School of Computer and Mathematical Sciences

Faculty of Sciences, Engineering and Technology

Eligible to supervise Masters and PhD, but is currently at capacity - email supervisor to discuss availability.

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.

My Research
Career
Publications
Grants and Funding
Teaching
Supervision
Contact

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.

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

Information Retrieval and Web Search Knowledge Representation and Machine Learning Natural Language Processing Web Technologies

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	Competency
Chinese (Mandarin)	Can read, write, speak, understand spoken and peer review
English	Can read, write, speak, understand spoken and peer review

Date	Institution name	Country	Title
	University of Adelaide	Australia	PhD

Journals

Year	Citation
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), 17 pages. DOI
2024	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), 18 pages. DOI
2024	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. DOI
2023	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.
2023	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. DOI
2023	Cai, T., Lei, Q., Sheng, Q. Z., Cui, N., Yang, S., Yang, J., . . . Mahmood, A. (2023). Reconnecting the Estranged Relationships: Optimizing the Influence Propagation in Evolving Networks. IEEE Transactions on Knowledge and Data Engineering, 36(5), 2151-2165. DOI
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. DOI Scopus7 WoS1
2023	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. DOI
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. DOI WoS1 Europe PMC4
2023	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. DOI Scopus3
2023	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. DOI Scopus2
2023	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. DOI Scopus35 WoS15
2023	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. DOI Scopus5 WoS2
2023	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. DOI Scopus6 WoS2
2022	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. DOI
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. DOI Scopus5 WoS4
2022	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. DOI Scopus27 WoS9
2022	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. DOI Scopus15
2022	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. DOI Scopus16 WoS15
2022	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. DOI Scopus1
2022	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. DOI Scopus8 WoS7
2022	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. DOI Scopus2 WoS1
2022	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. DOI Scopus1 WoS1
2022	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. DOI Scopus1
2022	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. DOI Scopus7 WoS3
2021	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. DOI WoS3
2021	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. DOI Scopus3 WoS1
2021	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. DOI Scopus3
2021	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. DOI Scopus7 WoS9
2020	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. DOI Scopus4 WoS2
2020	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. DOI Scopus3 WoS3
2020	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. DOI Scopus67 WoS51
2020	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. DOI Scopus91 WoS55
2020	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. DOI Scopus303 WoS174
2019	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. DOI Scopus61 WoS46
2019	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. DOI Scopus15 WoS9
2019	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. DOI Scopus15 WoS11
2018	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. DOI Scopus16 WoS14
2018	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. DOI Scopus3 WoS1
2018	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. DOI Scopus40 WoS25
2018	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. DOI Scopus19 WoS5
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. DOI
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. DOI Scopus16 WoS12
1998	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. DOI Scopus1 WoS2
1998	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. DOI Scopus19 WoS18

Books

Year	Citation
2023	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
2018	Zhang, W., & Sheng, Q. Z. (2018). Managing data from knowledge bases: Querying and extraction. Switzerland: Springer Nature. DOI Scopus4
2013	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
2024	Guo, L., Zhang, W. E., Chen, W., Yang, N., Nguyen, Q., & Vo, T. D. (2024). Oyster Mushroom Growth Stage Identification: An Exploration of Computer Vision Technologies. In T. Liu, L. Yue, G. Webb, & D. Wang (Eds.), Lecture Notes in Computer Science (Vol. 14471 LNAI, pp. 67-78). SPRINGER-VERLAG SINGAPORE PTE LTD. DOI
2021	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 Scopus1
2017	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 Scopus1

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).
2023	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. In Proceedings - IEEE International Conference on Knowledge Graph, ICKG 2023 (pp. 117-125). PEOPLES R CHINA, Shanghai: IEEE. DOI
2023	Zhang, W., Chen, P., Yang, J., Tang, Y., & Su, J. (2023). A Capability Description Language Design for Data Products. In ACM International Conference Proceeding Series (pp. 21-26). WA, Seattle: ASSOC COMPUTING MACHINERY. DOI
2023	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. DOI
2023	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). Springer Nature Singapore. DOI
2023	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
2023	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 Scopus1
2023	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. DOI
2023	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. DOI
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). Scopus1
2022	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 Scopus4 WoS1
2022	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 Scopus13 WoS4
2022	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 Scopus2
2022	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. DOI
2022	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 Scopus3
2022	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 Scopus1 WoS1
2021	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. DOI
2021	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 Scopus4 WoS1
2021	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 Scopus34
2021	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. DOI
2021	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. DOI
2021	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 Scopus2
2021	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. DOI
2021	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 WoS2
2021	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 Scopus5
2021	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 Scopus1
2020	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 Scopus1
2020	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 Scopus28 WoS6
2020	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 Scopus21 WoS15
2020	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 Scopus3
2020	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 Scopus5
2020	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 Scopus1
2020	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 Scopus2
2020	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 Scopus27 WoS19
2020	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 Scopus19
2020	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 Scopus5
2020	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 Scopus30 WoS15
2020	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 Scopus15 WoS8
2020	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 WoS1
2020	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 Scopus11 WoS5
2020	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. Los Cabos, Mexico: ACM. DOI Scopus1
2019	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 Scopus5 WoS4
2019	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 Scopus13 WoS8
2019	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 Scopus5
2019	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 Scopus39 WoS32
2019	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 Scopus1
2019	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 WoS4
2019	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 Scopus62 WoS34
2019	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 Scopus24 WoS15
2019	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. DOI
2018	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 WoS1
2018	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 Scopus8 WoS7
2018	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 Scopus4
2017	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 Scopus12 WoS11
2017	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 Scopus52 WoS36
2017	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 WoS2
2017	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 Scopus7 WoS7
2017	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. DOI
2017	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 WoS4
2016	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 WoS2
2016	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 Scopus7
2016	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 WoS2
2016	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 WoS5
2016	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 WoS2
2016	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 WoS6
2016	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 Scopus2
2016	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 WoS4
2015	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 Scopus11 WoS4
2015	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 Scopus43 WoS36
2015	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 Scopus10
2014	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 WoS6
2014	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

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)

Current Higher Degree by Research Supervision (University of Adelaide)

Date	Role	Research Topic	Program	Degree Type	Student Load	Student Name
2024	Co-Supervisor	Cutting-Edge Artificial Intelligence in Smart and Digital Agriculture	Doctor of Philosophy	Doctorate	Full Time	Ms Lipin Guo
2024	Principal Supervisor	Faithfulness and Factuality in Document Summarisation	Doctor of Philosophy	Doctorate	Full Time	Mr Mong Yuan Sim
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 Alireza Seyed 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 Block Chain	Macquarie University	-	Doctorate	Full Time	Subhash Sagar
2019 - ongoing	Co-Supervisor	Trust Management in Internet of Vehicles	Macquarie University	-	Doctorate	Full Time	Sarah Ali Siddiqui
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

Position: Senior Lecturer
Phone: 83130213
Email: wei.e.zhang@adelaide.edu.au
Campus: North Terrace
Building: Ingkarni Wardli
Org Unit: Computer Science

Dr Wei Zhang

Appointments

Language Competencies

Education

Research Interests