Dr Wei Zhang
ARC Externally-Funded Senior Research Fellow
School of Computer Science and Information Technology
College of Engineering and Information Technology
Eligible to supervise Masters and PhD, but is currently at capacity - email supervisor to discuss availability.
Dr Wei Zhang is an Associate Professor at the School of Computer Science and Information Technology, and a researcher at the Australian Institute for Machine Learning (AIML), Adelaide University (former The University of Adelaide). She received her PhD degree from the University of Adelaide in Computer Science.
She is a devoted researcher on distributed systems, natural language processing, text mining, and machine learning and author of over 140 publications. Her TIST article was selected as the top 5 outstanding article by Editor-in-Chief in 2022. She is among the top 100 authors worldwide, ranked by field-weighted citation impact, in the SciVal topic for Network Security. She currently holds an ARC Early Career Industry Fellowship (IE230100119) and am the lead investigator of an ARC Discovery Project (DP240103070) and Linkage Project (LP230200821 ). Her works have received academia and industry funding (ARC, Google, DST, etc.) worth > AUD $3M. She is the recipient of South Australia Young Tall Poppy Award (2024), Women of Colour in STEM Award (2025, Data Science/AI Pioneer category)，Women in AI Asia-Pacific Award finalist (2024, AI in Agribusiness and Rural Development category).
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:
- Multimodal generation and evaluation
- Federated Learning in NLP
- Artificial Intelligence of Things
| Date | Position | Institution name |
|---|---|---|
| 2026 - ongoing | Associate Professor | University of Adelaide |
| 2024 - 2025 | 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 |
| Year | Citation |
|---|---|
| 2026 | Chen, K., Zuo, J., Chang, R., Qian, X., Carbone, A., & Zhang, W. E. (2026). The rational decommissioning of solar photovoltaic (PV) technologies: evidence from Australia. Resources Conservation and Recycling, 225, 14 pages. |
| 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), 101608-1-101608-15. Scopus6 WoS5 |
| 2025 | Fang, X., Chang, R., Zuo, J., Zhang, W. E., Zou, Y., & Li, K. (2025). How do environmental and operational factors impact particulate matter dynamics in building construction? - Insights from real-time sensing.. J Environ Manage, 380, 125098. Scopus2 WoS1 |
| 2025 | Wang, S., Zhang, H., Wu, T., Zhang, Y., Zhang, W. E., & Sheng, Q. Z. (2025). Electricity Cost Minimization for Multi-Workflow Allocation in Geo-Distributed Data Centers. IEEE Transactions on Services Computing, 18(3), 1-14. Scopus1 |
| 2025 | Wang, X., Figueredo, G., Li, R., Zhang, W. E., Chen, W., & Chen, X. (2025). A survey of deep-learning-based radiology report generation using multimodal inputs. Medical Image Analysis, 103, 26 pages. Scopus7 WoS6 Europe PMC3 |
| 2025 | Sheng, Q. Z., Dobbie, G., Jiang, J., Zhang, X., Zhang, W. E., Manolopoulos, Y., . . . Ma, C. (2025). Preface. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 15389 LNAI, v-vi. |
| 2025 | Sheng, Q. Z., Dobbie, G., Jiang, J., Zhang, X., Zhang, W. E., Manolopoulos, Y., . . . Ma, C. (2025). Preface. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 15392 LNAI, v-vi. |
| 2025 | Zhang, Y., Chang, R., Mao, W., Zuo, J., Zhanga, W. E., & Liu, L. (2025). Low-Cost iOS-Based Automated Detection of Under-Construction Interior Drywalls: An Exploratory Study. Journal of Construction Engineering and Management, 151(10), 18 pages. |
| 2025 | Alhazmi, A., Aljubairy, A., Zhang, W., Sheng, Q. Z., & Alhazmi, E. (2025). Can Interpretability of Deep Learning Models Detect Textual Adversarial Distribution?. ACM Transactions on Intelligent Systems and Technology, 16(4), 24 pages. Scopus2 WoS1 |
| 2025 | Yang, N., Simon, J., Fang, W., Ayed, C., Zhang, W. E., Axell, M., . . . Fisk, I. (2025). Development of analytical “aroma wheels” for Oolong tea infusions (Shuixian and Rougui) and prediction of dynamic aroma release and colour changes during “Chinese tea ceremony” with machine learning. Food Chemistry, 464(Pt 1), 141537. Scopus5 WoS4 Europe PMC1 |
| 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, 21, 5 pages. Scopus2 WoS1 |
| 2024 | Ludwig, H., Reiff-Marganiec, S., & Zhang, W. E. (2024). 2024 IEEE ICWS Symposium on Services for Data & Model Ecosystems Message from the Chairs. Proceedings of the IEEE International Conference on Web Services Icws, XLIII-XLIV. |
| 2024 | 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. Scopus2 WoS1 |
| 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. Scopus26 WoS22 |
| 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), 483. Scopus11 WoS10 |
| 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. Scopus4 WoS2 |
| 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 | Zhuang, H., Zhang, W., Chen, W., Yang, J., & Sheng, Q. Z. (2024). Improving Faithfulness and Factuality with Contrastive Learning in Explainable Recommendation. ACM Transactions on Intelligent Systems and Technology, 16(1), 9-1-9-23. Scopus2 WoS1 |
| 2024 | 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, 11(2), 314-332. |
| 2024 | Zhang, C., Chen, W., Zhang, W., & Xu, M. (2024). Mitigating the Impact of Inaccurate Feedback in Dynamic Learning-to-Rank: A Study of Overlooked Interesting Items. ACM Transactions on Intelligent Systems and Technology, 16(1), 5-1-5-26. |
| 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. Scopus5 WoS5 |
| 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. Scopus32 WoS20 |
| 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. Scopus17 WoS11 |
| 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. Scopus8 WoS8 |
| 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. Scopus1 WoS1 |
| 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. WoS29 Europe PMC23 |
| 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. Scopus98 WoS63 |
| 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. Scopus13 WoS11 |
| 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. Scopus15 WoS11 |
| 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. |
| 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. Scopus12 WoS10 |
| 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. Scopus94 WoS58 |
| 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. Scopus41 WoS31 |
| 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. Scopus34 WoS29 |
| 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. Scopus1 WoS1 |
| 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. Scopus24 WoS22 |
| 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. Scopus3 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. Scopus7 WoS5 |
| 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. Scopus6 WoS5 |
| 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. Scopus12 WoS9 |
| 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. WoS6 |
| 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. Scopus6 WoS5 Europe PMC2 |
| 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. Scopus6 WoS5 |
| 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. Scopus11 WoS18 |
| 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. Scopus5 WoS4 |
| 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. Scopus8 WoS5 |
| 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. Scopus89 WoS65 |
| 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. Scopus148 WoS104 |
| 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. Scopus527 WoS383 |
| 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. Scopus80 WoS58 |
| 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. Scopus48 WoS35 |
| 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. Scopus18 WoS13 |
| 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. Scopus20 WoS16 |
| 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. Scopus6 WoS3 |
| 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. Scopus44 WoS28 |
| 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. Scopus24 WoS14 |
| 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. Scopus18 WoS14 |
| 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. 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. Scopus19 WoS18 |
| Year | Citation |
|---|---|
| 2025 | Sheng, Q. Z., Dobbie, G., Jiang, J., Zhang, X., Zhang, W. E., Manolopoulos, Y., . . . Ma, C. (Eds.) (2025). Advanced Data Mining and Applications. Springer Nature Singapore. DOI |
| 2025 | Sheng, Q. Z., Dobbie, G., Jiang, J., Zhang, X., Zhang, W. E., Manolopoulos, Y., . . . Ma, C. (Eds.) (2025). Advanced Data Mining and Applications. Springer Nature Singapore. DOI |
| 2025 | Sheng, Q. Z., Dobbie, G., Jiang, J., Zhang, X., Zhang, W. E., Manolopoulos, Y., . . . Ma, C. (Eds.) (2025). Advanced Data Mining and Applications. Springer Nature Singapore. DOI |
| 2025 | Sheng, Q. Z., Dobbie, G., Jiang, J., Zhang, X., Zhang, W. E., Manolopoulos, Y., . . . Ma, C. (Eds.) (2025). Advanced Data Mining and Applications. Springer Nature Singapore. DOI |
| 2025 | Sheng, Q. Z., Dobbie, G., Jiang, J., Zhang, X., Zhang, W. E., Manolopoulos, Y., . . . Ma, C. (Eds.) (2025). Advanced Data Mining and Applications. Springer Nature Singapore. DOI |
| 2025 | Zaib, M., Sheng, Q. Z., Zhang, W. E., & Mahmood, A. (2025). When NLP Meets LLM: Neural Approaches to Context-based Conversational Question Answering. DOI |
| 2024 | Hamad, S. A., Sheng, Q. Z., & Zhang, W. E. (2024). Security Framework for The Internet of Things Applications. CRC Press: CRC Press. DOI Scopus2 |
| 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 Scopus1 |
| 2018 | Zhang, W., & Sheng, Q. Z. (2018). Managing data from knowledge bases: Querying and extraction. Switzerland: Springer Nature. DOI Scopus5 |
| 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 |
| Year | Citation |
|---|---|
| 2026 | Zhao, Q., Zhang, W. E., Ranjitkar, S., Viltoriano, R., Xie, Z., & Anderson, P. J. (2026). Efficient Craniofacial Microsomia Detection via Edge-Focused 3D Point Cloud Network. In Lecture Notes in Computer Science (Vol. 16371 LNAI, pp. 309-321). Springer Nature Singapore. 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 Scopus4 |
| 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 |
| Year | Citation |
|---|---|
| 2026 | Zhao, Y., Zheng, L. N., Zhang, W. E., & Chen, W. (2026). Price Equilibrium Routing: A Lightweight Framework for Expert Selection in Mixture-of-Experts. In Lecture Notes in Computer Science Vol. 16371 LNAI (pp. 3-16). Springer Nature Singapore. DOI |
| 2026 | Tang, Y., & Zhang, W. E. (2026). CDL+: An Extended Capability Description Language Design For Medical Data-Driven Process. In S. Kallel, C. Raibulet, I. B. Rodriguez, N. Faci, A. Bennaceur, S. Cheikhrouhou, . . . R. B. Halima (Eds.), Lecture Notes in Computer Science Vol. 15833 LNCS (pp. 109-120). TUNISIA, Tunis: SPRINGER-VERLAG SINGAPORE PTE LTD. DOI |
| 2026 | Liang, W., Zhang, W. E., Yue, L., Rathjen, J., Oloughlin, P., & Chen, W. (2026). TraffiX-MoE: A Traffic-Aware Neural VRP Solver. In Lecture Notes in Computer Science Vol. 16200 LNCS (pp. 273-280). Springer Nature Singapore. DOI |
| 2025 | Zheng, L. N., Zhang, W. E., Yue, L., Xu, M., Maennel, O., & Chen, W. (2025). Adaptive Spline Networks in the Kolmogorov-Arnold Framework: Knot Analysis and Stability Enhancement. In Cikm 2025 Proceedings of the 34th ACM International Conference on Information and Knowledge Management (pp. 4434-4443). ACM. DOI |
| 2025 | Liang, W., Zhang, W. E., Yue, L., Xu, M., Maennel, O., & Chen, W. (2025). Calibrating on Medical Segmentation Model through Signed Distance. In Cikm 2025 Proceedings of the 34th ACM International Conference on Information and Knowledge Management (pp. 1778-1787). ACM. DOI |
| 2025 | Liang, W., Zhang, W. E., Yue, L., Xu, M., Maennel, O., & Chen, W. (2025). Calibrating on Kolmogorov-Arnold Network. In Cikm 2025 Proceedings of the 34th ACM International Conference on Information and Knowledge Management (pp. 1768-1777). ACM. DOI |
| 2025 | Yang, L., Zhang, W. E., Sheng, Q. Z., Yao, L., Chen, W., & Shakeri, A. (2025). MMiC: Mitigating Modality Incompleteness in Clustered Federated Learning. In Cikm 2025 Proceedings of the 34th ACM International Conference on Information and Knowledge Management (pp. 3783-3793). ACM. DOI |
| 2025 | Zaib, M., Sheng, Q. Z., Zhang, W. E., Alhazmi, E., & Mahmood, A. (2025). Learning Contrastive Representations for Dense Passage Retrieval in Open-Domain Conversational Question Answering. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 15436 LNCS (pp. 3-13). Doha: Springer Nature Singapore. DOI |
| 2025 | Shakeri, A., Zhang, W. E., Beheshti, A., Chen, W., Yang, J., & Yang, L. (2025). FedDPG: An Adaptive Yet Efficient Prompt-Tuning Approach in Federated Learning Settings. In Lecture Notes in Computer Science Vol. 15874 LNCS (pp. 40-51). Sydney, NSW, Australia: Springer Nature Singapore. DOI |
| 2025 | Dong, C., Sun, Z., Bai, G., Piao, S., Chen, W., & Zhang, W. E. (2025). TrojanTime: Backdoor Attacks on Time Series Classification. In Proceedings, Part IV of the 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2025), as published in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence) Vol. 15873 (pp. 154-166). Singapore: Springer Nature. DOI |
| 2025 | Zheng, L. N., Dong, C., Zhang, W. E., Yue, L., Xu, M., Maennel, O., & Chen, W. (2025). Understanding Why Large Language Models Can Be Ineffective in Time Series Analysis: The Impact of Modality Alignment. In Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2 (KDD 2025) Vol. 2 (pp. 4026-4037). New York, NY, USA: Association for Computing Machinery (ACM). DOI Scopus1 |
| 2024 | 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 K. Duh, H. Gomez, & S. Bethard (Eds.), PROCEEDINGS OF THE 2024 CONFERENCE OF THE NORTH AMERICAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: HUMAN LANGUAGE TECHNOLOGIES, VOL 1: LONG PAPERS (pp. 7768-7790). MEXICO: ASSOC COMPUTATIONAL LINGUISTICS-ACL. WoS1 |
| 2024 | Yang, Z., Liu, Y., Gao, Z., He, J., Chen, T., & Zhang, W. E. (2024). ATTENTION ENHANCEMENT WITH PARALLEL GROUPS FOR REMOTE SENSING OBJECT DETECTION. In Proceedings - International Conference on Image Processing, ICIP (pp. 1032-1036). Abu Dhabi, United Arab Emirates: IEEE. DOI |
| 2024 | Alhazmi, E., Sheng, Q. Z., Zhang, W. E., Zaib, M., & Alhazmi, A. (2024). Distractor Generation in Multiple-Choice Tasks: A Survey of Methods, Datasets, and Evaluation. In EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference (pp. 14437-14458). Hybrid, Miami: Association for Computational Linguistics (ACL). DOI Scopus7 |
| 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. DOI Scopus9 WoS8 |
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| 2024 | 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 Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM 2024) (pp. 3405-3414). Boise, Idaho, USA: Association for Computing Machinery (ACM). DOI Scopus5 WoS3 |
| 2024 | 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 Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM 2024) (pp. 3395-3404). New York, NY, USA: Association for Computing Machinery (ACM). DOI Scopus3 |
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| 2024 | George Dong, C., David Li, Z., Nathan Zheng, L., Chen, W., & Emma Zhang, W. (2024). Boosting Certificate Robustness for Time Series Classification with Efficient Self-Ensemble. In Proceedings of the International Conference on Information and Knowledge Management (pp. 477-486). ID, Boise: Association of Computing Machinery. DOI Scopus1 |
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| 2023 | 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. DOI Scopus2 WoS3 |
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| 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). Online: Springer Nature Singapore. DOI Scopus4 WoS4 |
| 2023 | 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. DOI WoS1 |
| 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 Scopus9 WoS5 |
| 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 Scopus3 WoS2 |
| 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 |
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| 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 Scopus6 WoS5 |
| 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 Scopus22 WoS6 |
| 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 Scopus4 WoS3 |
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| 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 Scopus6 |
| 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 Scopus10 WoS6 |
| 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 Scopus13 WoS11 |
| 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 Scopus59 WoS41 |
| 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 Scopus11 WoS6 |
| 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 Scopus6 WoS2 |
| 2021 | 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. Scopus3 |
| 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 Scopus14 |
| 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 Scopus2 |
| 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 Scopus2 WoS1 |
| 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 Scopus48 WoS21 |
| 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 Scopus38 WoS29 |
| 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 Scopus7 WoS3 |
| 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 Scopus2 |
| 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 Scopus3 |
| 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 Scopus42 WoS31 |
| 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 Scopus39 WoS34 |
| 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 Scopus10 |
| 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 Scopus47 WoS39 |
| 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 Scopus25 WoS18 |
| 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 Scopus6 WoS3 |
| 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 Scopus26 WoS17 |
| 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 (pp. 3 pages). 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 Scopus8 WoS7 |
| 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 Scopus20 WoS18 |
| 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 Scopus9 |
| 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 Scopus47 WoS39 |
| 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 Scopus110 WoS73 |
| 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 Scopus29 WoS22 |
| 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 Scopus3 WoS2 |
| 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 Scopus10 WoS9 |
| 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 Scopus6 |
| 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 Scopus15 WoS15 |
| 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 Scopus58 WoS43 |
| 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 Scopus8 WoS8 |
| 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 Scopus9 |
| 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 WoS3 |
| 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 Scopus12 WoS9 |
| 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 Scopus13 WoS6 |
| 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 Scopus50 WoS43 |
| 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 |
| 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 |
| Year | Citation |
|---|---|
| 2025 | Dong, C., Sun, Z., Bai, G., Piao, S., Chen, W., & Zhang, W. E. (2025). TrojanTime: Backdoor Attacks on Time Series Classification. |
| 2025 | Zheng, L. N., Zhang, W. E., Guo, M., Xu, M., Maennel, O., & Chen, W. (2025). Rethinking Gating Mechanism in Sparse MoE: Handling Arbitrary Modality Inputs with Confidence-Guided Gate. |
| 2025 | Zheng, L. N., Zhang, W. E., Yue, L., Xu, M., Maennel, O., & Chen, W. (2025). Free-Knots Kolmogorov-Arnold Network: On the Analysis of Spline Knots and Advancing Stability. |
| 2025 | Yang, L., Zhang, W., Sheng, Q. Z., Chen, W., Yao, L., Chen, W., & Shakeri, A. (2025). MMiC: Mitigating Modality Incompleteness in Clustered Federated Learning. |
| 2024 | Zheng, L. N., Dong, C. G., Zhang, W. E., Yue, L., Xu, M., Maennel, O., & Chen, W. (2024). Understanding Why Large Language Models Can Be Ineffective in Time Series Analysis: The Impact of Modality Alignment. |
| 2024 | 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. |
| 2024 | 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. |
| 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 | 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. |
Grants Cat 1
● 2025-2028. ARC Linkage Project (LP230200821), AUD $338,649. Title: “Advanced Data Analytics for Cost-effective Mushroom Cultivation”, Wei Zhang, Michael Sheng, Weitong Chen, Ni Yang, Queen Nguyen, Yantao Zhang. Lead Investigator.
● 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. Sole Investigator
● 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)
| Date | Role | Research Topic | Program | Degree Type | Student Load | Student Name |
|---|---|---|---|---|---|---|
| 2025 | Principal Supervisor | Enhancing Document Summarization with Domain-Specific Knowledge and Human Feedback | Doctor of Philosophy | Doctorate | Full Time | Miss Xiaoyang Li |
| 2025 | Principal Supervisor | Understanding Visual Comprehension Effectiveness in Large Vision-Language Models | Master of Philosophy | Master | Full Time | Mr Nam Kha Nguyen |
| 2025 | Principal Supervisor | Intent-Aware Assistive Robotics Using Model Predictive Control for Human-on-the-Loop | Doctor of Philosophy | Doctorate | Full Time | Miss Jingyu Duan |
| 2025 | Principal Supervisor | Intent-Aware Assistive Robotics Using Model Predictive Control for Human-on-the-Loo | Doctor of Philosophy | Doctorate | Full Time | Miss Jingyu Duan |
| 2025 | Principal Supervisor | Understanding Visual Comprehension Effectiveness in Large Vision-Language Models | Master of Philosophy | Master | Full Time | Mr Nam Kha Nguyen |
| 2025 | Principal Supervisor | Enhancing Document Summarization with Domain-Specific Knowledge and Human Feedback | Doctor of Philosophy | Doctorate | Full Time | Miss Xiaoyang Li |
| 2024 | Principal Supervisor | Faithfulness and Factuality in Document Summarisation | Doctor of Philosophy | Doctorate | Full Time | Mr Mong Yuan Sim |
| 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 | Principal Supervisor | Can Active Learning and Federated Learning Help Sensitive Information Protection | Master of Philosophy | Master | Full Time | Mr Lishan Yang |
| 2023 | Principal Supervisor | Leveraging Knowledge-aware Methodologies for Multi-document Summarization | Doctor of Philosophy | Doctorate | Full Time | Miss Yutong Qu |
| 2023 | Principal Supervisor | Can Active Learning and Federated Learning Help Sensitive Information Protection | Master of Philosophy | Master | Full Time | Mr Lishan Yang |
| 2023 | Co-Supervisor | Warm-Starting Reinforcement Learning in Complex Environments | Doctor of Philosophy | Doctorate | Full Time | Miss Lauren Yvette Taylor |
| 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 | 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 |
| Date | Role | Research Topic | Program | Degree Type | Student Load | Student Name |
|---|---|---|---|---|---|---|
| 2025 - 2025 | Principal Supervisor | Adversarial Attack and Defense in Time Series Classification | Master of Philosophy | Master | Full Time | Mr Chang Dong |
| 2024 - 2025 | Co-Supervisor | Machine learning assisted multi-metallic electrocatalysts design | Doctor of Philosophy | Doctorate | Full Time | Mr Yiran Jiao |
| 2021 - 2025 | Principal Supervisor | Improving the Performance and Robustness of NLP models with Contrastive Data and Learning | Doctor of Philosophy | Doctorate | Full Time | Mr Haojie Zhuang |
| 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 |
| 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 |
