Wei Zhang

Dr Wei Zhang

Lecturer

School of Computer Science

Faculty of Engineering, Computer and Mathematical Sciences

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.

    Expand
  • Journals

    Year Citation
    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
    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, 107248.
    DOI
    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, 1.
    DOI
    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, 1-17.
    DOI
    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
    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. Proceedings - 2020 IEEE 6th International Conference on Collaboration and Internet Computing, CIC 2020, 34-43.
    DOI Scopus1
    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 Scopus1
    2020 Hamad, S., Sheng, Q., Zhang, W., & 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 Scopus21 WoS16
    2020 Hussain, Z., Sheng, Q., & Zhang, W. (2020). A review and categorization of techniques on device-free human activity recognition. Journal of Network and Computer Applications, 167, 1-22.
    DOI Scopus12 WoS8
    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 Scopus33 WoS20
    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 Scopus6 WoS4
    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 Scopus24
    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, 1.
    DOI Scopus6
    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 Scopus8 WoS4
    2018 Zhang, W., Sheng, Q., 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 Scopus2 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 Scopus25 WoS11
    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 Scopus11 WoS2
    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 Scopus12 WoS9
    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
    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.
    DOI Scopus2
    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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12521 LNCS, pp. 138-152). Springer International Publishing.
    DOI
    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
    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). ACM.
    DOI
    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
    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 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
    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 Scopus1
    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 Scopus4
    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
    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
    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
    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
    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 Scopus2 WoS3
    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 Scopus3
    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
    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 Scopus4 WoS1
    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 Scopus1
    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 Scopus5 WoS1
    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 Scopus1
    2019 Mahmood, A., Butler, B., Zhang, W., Sheng, Q., & Siddiqui, S. (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 Scopus16 WoS9
    2019 Liu, Z., Sheng, Q., Zhang, W., 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 Scopus3 WoS2
    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
    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 Scopus2 WoS1
    2019 Hamad, S., Zhang, W., Sheng, Q., & 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 Scopus15 WoS6
    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 Scopus1
    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 Scopus4 WoS2
    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 Scopus2
    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 Scopus8 WoS7
    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 Scopus30 WoS16
    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 Scopus1
    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 Scopus4 WoS4
    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 WoS3
    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 Scopus2 WoS1
    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 Scopus4 WoS4
    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 Scopus2 WoS1
    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 Scopus5 WoS5
    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 WoS3
    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 Scopus7 WoS1
    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 Scopus27 WoS22
    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 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
    2020 Co-Supervisor Applying Deep Learning to Cybersecurity Market Design Doctor of Philosophy Doctorate Full Time Mr Guanhua Wang
    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 Full Time Mr Qiaoyang Luo
  • 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
  • Room: 4.35
  • Org Unit: School of Computer Science

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