
Dr Wei Zhang
Lecturer
School of Computer and Mathematical Sciences
Faculty of Sciences, Engineering and Technology
Eligible to supervise Masters and PhD - email supervisor to discuss availability.
I am currently a Lecturer at the School of Computer Science, The University of Adelaide, and Honorary Lecturer at Department of Computing , Macquarie University. I obtained PhD in 2017 from the School of Computer Science, The University of Adelaide under the supervision of Prof.Michael Sheng and A/Prof. Kerry Taylor (ANU) . I got B.E. from Wuhan University and M.E. from Beihang University in China.
From 2017 to 2019, I was a Postdoctoral Research Fellow at Macquarie University. In 2016, I spent half year as a full-time research intern in IBM Research, Australia . I also have six-year's industry experience as a (senior) software engineer in Nuctech Company Limited and Thomson Reuters .
I am interested in topics in areas including text mining, natural language processing, information retrieval and Internet of Things applications.
My current research relates to three specific areas: i) Adversarial attacks on deep neural models for text; ii) Neural dialogue systems in smart space; and iii) Data analysis for medical data.
I am seeking highly motivated and focused students with backgrounds and interests in Computer Science, Mathematics, and Engineering. For more information, please go to my Web page or email me directly.
My interested areas include text mining, natural language processing, information retrieval and Internet of Things applications, but not limited to.
My current research relates to three specific areas:
i) Adversarial attacks on deep neural models for text;
ii) Neural dialogue systems in smart space;
iii) Text summarization.
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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
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Journals
Year Citation 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.
Scopus4 WoS42022 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.
Scopus7 WoS82022 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), 2420.
2022 Tran, D. H., Sheng, Q. Z., Zhang, W. E., Tran, N. H., & Khoa, N. L. D. (2022). CupMar: A deep learning model for personalized news recommendation based on contextual user-profile and multi-aspect article representation. World Wide Web, 26(2), 1-20.
2022 Shu, Y., Zhang, J., Zhang, W. E., Zuo, D., & Sheng, Q. Z. (2022). IQSrec: An Efficient and Diversified Skyline Services Recommendation on Incomplete QoS. IEEE Transactions on Services Computing, 1-14.
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, 1-14.
Scopus42022 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.
Scopus1 WoS12022 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.
Scopus52022 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.
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.
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.
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.
Scopus2 WoS12021 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.
Scopus4 WoS22021 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, 1-17.
Scopus5 WoS72021 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.
WoS22021 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.
Scopus12021 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.
Scopus12020 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.
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.
Scopus2 WoS22020 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.
Scopus51 WoS442020 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.
Scopus53 WoS412020 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.
Scopus157 WoS1342019 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.
Scopus11 WoS112019 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.
Scopus482019 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.
Scopus6 WoS42018 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.
Scopus14 WoS122018 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.
Scopus3 WoS12018 Yao, L., Sheng, Q. Z., Wang, X., Zhang, W. E., & Qin, Y. (2018). Collaborative location recommendation by integrating multi-dimensional contextual information. ACM Transactions on Internet Technology, 18(3), 1-24.
Scopus33 WoS242018 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.
Scopus14 WoS42017 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.
Scopus16 WoS121998 Zhang, W., Furusaki, S., & Middelberg, A. (1998). A phase-segregated model for plant cell culture: the effect of cell volume fraction. Journal of Chemical Engineering of Japan, 31(3), 469-474.
Scopus1 WoS21998 Zhang, W., Seki, M., Furusaki, S., & Middelberg, A. (1998). Anthocyanin synthesis, growth and nutrient uptake in suspension cultures of strawberry cells. Journal of Fermentation and Bioengineering, 86(1), 72-78.
Scopus19 WoS18- Sheng, Q. Z., Yu, J., Xu, H., Zhang, W. E., Ngu, A. H. H., Han, J., & Liu, R. (n.d.). ContextServ: Towards Model-Driven Development of Context-AwareWeb
Services.- Zhang, W. E., Sheng, Q. Z., & Dustdar, S. (n.d.). A Cache-based Optimizer for Querying Enhanced Knowledge Bases. -
Books
Year Citation 2018 Zhang, W., & Sheng, Q. Z. (2018). Managing data from knowledge bases: Querying and extraction. Switzerland: Springer Nature.
Scopus32013 Ghose, A., Zhu, H., Yu, Q., Delis, A., Sheng, Q., Perrin, O., . . . Wang, Y. (Eds.) (2013). Service-Oriented Computing - ICSOC 2012 Workshops. Germany: Springer.
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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.
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.
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Conference Papers
Year Citation 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.
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). ELECTR NETWORK: SPRINGER INTERNATIONAL PUBLISHING AG.
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.
Scopus12022 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.
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). Dublin, IRELAND: ASSOC COMPUTATIONAL LINGUISTICS-ACL. 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.
Scopus72021 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.
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.
Scopus2 WoS12021 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.
Scopus12021 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.
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.
Scopus1 WoS12021 Luo, Q., Liu, L., Lin, Y., & Zhang, W. (2021). Don't Miss the Labels: Label-semantic Augmented Meta-Learner for Few-Shot Text Classification. In C. Zong, F. Xia, W. Li, & R. Navigli (Eds.), Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 (pp. 2773-2782). Stroudsburg, PA, USA: Association for Computational Linguistics.
Scopus102021 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.
Scopus12021 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.
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.
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.
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.
Scopus3 WoS22020 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.
Scopus13 WoS92020 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.
Scopus32020 Tran, D. H., Aljubairy, A., Zaib, M., Sheng, Q. Z., Zhang, W. E., Tran, N. H., & Nguyen, K. L. D. (2020). HeteGraph: A Convolutional Framework for Graph Learning in Recommender Systems. In Proceedings of the International Joint Conference on Neural Networks (pp. 1-8). online: IEEE.
Scopus22020 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.
Scopus12020 Alhazmi, A., Zhang, W. E., Sheng, Q. Z., & Aljubairy, A. (2020). Analyzing the sensitivity of deep neural networks for sentiment analysis: A scoring approach. In Proceedings of the International Joint Conference on Neural Networks (IJCNN 2020) (pp. 1-7). online: IEEE.
Scopus22020 Zhang, W. E., Sheng, Q. Z., Mahmood, A., Tran, D. H., Zaib, M., Hamad, S. A., . . . Ma, C. (2020). The 10 Research Topics in the Internet of Things. In Proceedings of the 6th IEEE International Conference on Collaboration and Internet Computing (CIC 2020) (pp. 34-43). Piscataway, NJ, USA: IEEE.
Scopus16 WoS192020 Tang, R., Ma, C., Zhang, W. E., Wu, Q., & Yang, X. (2020). Semantic Equivalent Adversarial Data Augmentation for Visual Question Answering. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 12364 LNCS (pp. 437-453). Switzerland: Springer International Publishing.
Scopus72020 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.
Scopus32020 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.
Scopus16 WoS132020 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.
Scopus13 WoS82020 Nguyen, V. K., Sheng, Q. Z., Mahmood, A., Zhang, W. E., Phan, M. H., & Vo, T. D. (2020). Demo abstract: an internet of plants system for micro gardens. In Proceedings of the 19th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN 2020) (pp. 355-356). online: IEEE.
Scopus12020 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.
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.
Scopus11 WoS52020 Mai, D., & Zhang, W. E. (2020). Aspect Extraction Using Coreference Resolution and Unsupervised Filtering. In AACL-IJCNLP 2020: THE 1ST CONFERENCE OF THE ASIA-PACIFIC CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS AND THE 10TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING: PROCEEDINGS OF THE STUDENT RESEARCH WORKSHOP (pp. 117-122). Suzhou, PEOPLES R CHINA: 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. ACM.
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.
Scopus11 WoS102019 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.
Scopus11 WoS72019 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.
Scopus32019 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.
Scopus29 WoS262019 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.
Scopus4 WoS42019 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.
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.
Scopus5 WoS42019 Hamad, S. A., Zhang, W. E., Sheng, Q. Z., & Nepal, S. (2019). IoT device identification via network-flow based fingerprinting and learning. In Proceedings - 2019 18th IEEE International Conference on Trust, Security and Privacy in Computing and Communications/13th IEEE International Conference on Big Data Science and Engineering, TrustCom/BigDataSE 2019 (pp. 103-111). online: IEEE.
Scopus37 WoS232019 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.
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.
Scopus12018 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.
Scopus8 WoS62018 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.
Scopus42017 Ruan, W., Xu, P., Sheng, Q., Falkner, N., Li, X., & Zhang, W. (2017). Recovering missing values from corrupted spatio-temporal sensory data via robust low-rank tensor completion. In S. Candan, L. Chen, T. Pedersen, L. Chang, & W. Hua (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 10177 LNCS (pp. 607-622). Suzhou, PEOPLES R CHINA: SPRINGER INTERNATIONAL PUBLISHING AG.
Scopus10 WoS112017 Zhang, W. E., Sheng, Q. Z., Lau, J. H., & Abebe, E. (2017). Detecting duplicate posts in programming qa communities via latent semantics and association rules. In 26th International World Wide Web Conference, WWW 2017 (pp. 1221-1229). Perth, Australia: ASSOC COMPUTING MACHINERY.
Scopus44 WoS332017 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.
Scopus2 WoS22017 Zhang, W. E., Sheng, Q. Z., Shu, Y., & Nguyen, V. K. (2017). Feature analysis for duplicate detection in programming QA communities. In G. Cong, W. C. Peng, W. E. Zhang, C. Li, & A. Sun (Eds.), Proceedings of the 13th International Conference on Advanced Data Mining and Applications, as published in Advanced Data Mining and Applications ( Lecture Notes in Computer Science) Vol. 10604 (pp. 623-638). Switzerland: SPRINGER INTERNATIONAL PUBLISHING AG.
Scopus7 WoS62017 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.
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.
Scopus3 WoS42016 Qin, Y., Wang, H., Zhang, J., Tao, X., Zhang, W., Taylor, K., & Sheng, Q. (2016). Efficient algorithms for scheduling XML data in a mobile wireless broadcast environment. In Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS Vol. 2016-January (pp. 725-732). Melbourne, AUSTRALIA: IEEE.
WoS22016 Zhang, W., Sheng, Q., Qin, Y., Yao, L., Shemshadi, A., & Taylor, K. (2016). SECF: Improving SPARQL Querying performance with proactive fetching and Caching. In Proceedings of the ACM Symposium on Applied Computing Vol. 04-08-April-2016 (pp. 362-367). online: ACM.
Scopus72016 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.
Scopus2 WoS12016 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.
Scopus4 WoS42016 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.
Scopus3 WoS22016 Zhang, W., Tan, M., Sheng, Q., Yao, L., & Shi, Q. (2016). Efficient orthogonal non-negative matrix factorization over stiefel manifold. In Proceedings of the 25th ACM International Conference on Information and Knowledge Management (CIKM '16) Vol. 24-28-October-2016 (pp. 1743-1752). Indianapolis, IN, USA: Association for Computing Machinery (ACM).
Scopus7 WoS62016 Zhang, W., Sheng, Q., Abebe, E., Ali Babar, M., & Zhou, A. (2016). Mining source code topics through topic model and words embedding. In Advanced Data Mining and Applications Vol. 10086 LNAI (pp. 664-676). Gold Coast, Qld: Springer.
Scopus22016 Alfazi, A., Sheng, Q., Zhang, W., Yao, L., & Noor, T. (2016). Identification as a service: Large-scale cloud service discovery over the world wide web. In C. Pu, G. Fox, & E. Damiani (Eds.), Proceedings - 2016 IEEE International Congress on Big Data, BigData Congress 2016 (pp. 485-492). San Francisco, CA: IEEE.
Scopus4 WoS42015 Zhang, W., Sheng, Q., Taylor, K., & Qin, Y. (2015). Identifying and caching hot triples for efficient rdf query processing. In M. Renz, C. Shahabi, X. Zhou, & M. Cheema (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 9050 (pp. 259-274). Hanoi, VIETNAM: SPRINGER-VERLAG BERLIN.
Scopus11 WoS42015 Yao, L., Wang, X., Sheng, Q., Ruan, W., & Zhang, W. (2015). Service recommendation for mashup composition with implicit correlation regularization. In J. Miller (Ed.), Proceedings 2015 IEEE International Conference on Web Services (pp. 217-224). New York, NY: IEEE.
Scopus35 WoS332015 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.
Scopus102014 Shemshadi, A., Sheng, Q., & Zhang, W. (2014). A decremental search approach for large scale dynamic ridesharing. In B. Benatallah, A. Bestavros, Y. Manolopoulos, A. Vakali, & Y. Zhang (Eds.), Web Information Systems Engineering – WISE 2014: Proceedings Part 1 Vol. 8786 (pp. 202-217). Thessaloniki, Greece: Springer.
Scopus6 WoS62014 Qin, Y., Sheng, Q., Falkner, N., Zhang, W., & Wang, H. (2014). Indexing linked data in a wireless broadcast system with 3D Hilbert space-filling curves. In X. Wang (Ed.), Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management (pp. 1775-1778). Shanghai, China: ACM.
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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.
Scopus1 WoS1
- 2020-2022, Chief Investigator. What Can You Trust in the Large and Noisy Web? (ARC DP200102298, $390K), funded by the Australian Research Council Discovery Project. With Prof. Michael Sheng (Lead CI), Prof Jan Yang and Prof. Schahram Dustdar.
- 2018-2019: Key investigator. A Large-Scale Distributed Experimental Facility for the Internet of Things. Funded by the Australian Research Council Linkage Infrastructure, Equipment and Facilities Project (ARC LE180100158, $348K+$300K).
- 2018-2019: Key investigator. Intelligent Space. Funded by Huawei Innovation Research Program (US$70K).
- More team projects.
S2 2020: SCI 4094/4194/7094: Distributed Database and Data Mining, Course Coordinator
S2 2020: TECH 1004: Artificial Intelligence Technologies, Course Coordinator
S1 2020: COM SCI 1102SGDE: Object Oriented Programming SGDE, Course Coordinator
S1 2020: COMP SCI 3007: Artificial Intelligence
S2 2019: COMP SCI 3006,3310,3311,3312,3313,7015 Combined: Software Engineering & Project, Course Coordinator
S2 2019: COMP SCI 7209: Big Data Analysis & Project, Course Coordinator
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Current Higher Degree by Research Supervision (University of Adelaide)
Date Role Research Topic Program Degree Type Student Load Student Name 2023 Co-Supervisor Warm-Starting Reinforcement Learning in Complex Environments Doctor of Philosophy Doctorate Part Time Miss Lauren Yvette Taylor 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
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