Dr Wei Zhang

• Appointments

  Date	Position	Institution name
  2019 - ongoing	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

• Journals

  Year	Citation
  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	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
  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 Scopus2
  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 Scopus1
  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 Scopus4 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 Scopus5 WoS2
  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. 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. DOI Scopus3 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. DOI Scopus8 WoS5
  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 Scopus8 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 Scopus16 WoS5
  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 Scopus10
  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 Scopus13 WoS16
  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
  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.
  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 Scopus1 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., Guo, M., Wang, H., & Sheng, Q. Z. (2022). Multi-document Summarization via Deep Learning Techniques: A Survey. ACM Computing Surveys, 55(5), 37 pages. DOI Scopus26 WoS10
  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 Scopus6 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 Scopus1 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 Scopus1
  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 Scopus5 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 Scopus3 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 Scopus64 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 Scopus77 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 Scopus249 WoS168
  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 Scopus59 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 Scopus14 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 Scopus14 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 Scopus15 WoS13
  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 Scopus39 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 Scopus17 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
  2018	Zhang, W., & Sheng, Q. Z. (2018). Managing data from knowledge bases: Querying and extraction. Switzerland: Springer Nature. DOI Scopus3
  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
  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
  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
  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
  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., 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). 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
  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).
  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 Scopus3 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 Scopus12 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 Scopus1
  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 Scopus31
  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 Scopus3
  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
  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
  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 Scopus24 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 Scopus19 WoS11
  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 Scopus4
  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 Scopus24 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 Scopus18
  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 Scopus4
  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 Scopus26 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 Scopus3 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 Scopus9 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 Scopus4 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 Scopus12 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 Scopus3
  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 Scopus34 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 Scopus52 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 Scopus18 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 Scopus50 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 Scopus3 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 Scopus8 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 Scopus41 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

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
  2023	Principal Supervisor	Leveraging Knowledge-aware Methodologies for Multi-document Summarization	Doctor of Philosophy	Doctorate	Full Time	Miss Yutong Qu
  2023	Co-Supervisor	Warm-Starting Reinforcement Learning in Complex Environments	Doctor of Philosophy	Doctorate	Part Time	Miss Lauren Yvette Taylor
  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
  2022	Co-Supervisor	Automating Indoor Construction Progress Monitoring in the Era of Industry 4.0-Integrating Low-Cost Laser Scanning and Computer Vision	Doctor of Philosophy	Doctorate	Full Time	Mr Yanquan Zhang
  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
  2020	Principal Supervisor	Summarising Articles with Deep Neural Networks	Doctor of Philosophy	Doctorate	Full Time	Ms Congbo Ma
  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 - 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: Lecturer
• Phone: 83130213
• Email: wei.e.zhang@adelaide.edu.au
• Campus: North Terrace
• Building: Ingkarni Wardli
• Org Unit: Computer Science