Selected Publications

Monograph

• Wei Emma Zhang, Quan Z. Sheng. “Managing Data From Knowledge Bases: Querying and Extraction”, Springer, 2018. ISBN: 978-3-319-94934-5.

Book Chapters

• A. Mahmood, Wei Emma Zhang, Q. Z. Sheng, S. A. Siddiqui, and A. Aljubairy. “Trust Management for Software-Defined Heterogeneous Vehicular Ad Hoc Networks”. In: Security, Privacy and Trust in the IoT Environment. Ed. by Z. Mahmood. Springer, 2019, pp. 203–226.
• A. Mahmood, B. Butler, Q. Z. Sheng, Wei Emma Zhang, and B. Jennings. “Need of Ambient Intelligence for Next-Generation Connected and Autonomous Vehicles”. In: Guide to Ambient Intelligence in the IoT Environment - Principles, Technologies and Applications. Ed. by Z. Mahmood. Computer Communications and Networks. Springer, 2019, pp. 133–151.
• Wei Emma Zhang and Q. Z. Sheng. “Searching the Big Data: Practices and Experiences in Efficiently Querying Knowledge Bases”. In: Handbook of Big Data Technologies. Ed. by A. Y. Zomaya and S. Sakr. Springer, 2017, pp. 429–453.
• Q. Z. Sheng, J. Yu, Wei Emma Zhang, S. Wang, X. Li, and B. Benatallah. “Designing and Building Context-Aware Services: The ContextServ Project”. In: Next-Gen Digital Services. A Retrospective and Roadmap for Service Computing of the Future - Essays Dedicated to Michael Papazoglou on the Occasion of His 65th Birthday and His Retirement. Ed. by M. Aiello, A.Bouguettaya, D. A. Tamburri, and W. van den Heuvel. Vol. 12521. Lecture Notes in Computer Science. Springer, 2021, pp. 138–152.
• Q. Z. Sheng, J. Yu, Wei Emma Zhang, S. Wang, X. Li, and B. Benatallah. “Designing and Building Context-Aware Services: The ContextServ Project”. In: Next-Gen Digital Services. A Retrospective and Roadmap for Service Computing of the Future - Essays Dedicated to Michael Papazoglou on the Occasion of His 65th Birthday and His Retirement. Ed. by M. Aiello, A.Bouguettaya, D. A. Tamburri, and W. van den Heuvel. Vol. 12521. Lecture Notes in Computer Science. Springer, 2021, pp. 138–152. doi: 10.1007/978-3-030-73203-5_11.

Other Edited Books/Proceedings/Special Issues

• X. Liu, M. Mrissa, L. Zhang, D. Benslimane, A. Ghose, Z. Wang, A. Bucchiarone, Wei Zhang, Y.Zou, and Q. Yu, eds. Service-Oriented Computing - ICSOC 2018 Workshops - ADMS, ASOCA, ISYyCC, CloTS, DDBS, and NLS4IoT, Hangzhou, China, November 12-15, 2018, Revised Selected Papers. Vol. 11434. Lecture Notes in Computer Science. Springer, 2019. ISBN: 978-3-030-17641-9. doi: 10.1007/978- 3- 030- 17642- 6.
• A. Beheshti, M. Hashmi, H. Dong, and Wei Emma Zhang, eds. Service Research and Innovation - 5th and 6th Australasian Symposium, ASSRI 2015 and ASSRI 2017, Sydney, NSW, Australia, November 2-3, 2015, and October 19-20, 2017, Revised Selected Papers. Vol. 234. Lecture Notes in Business Information Processing. Springer, 2018. isbn: 978-3-319-76586-0. doi: 10.1007/978-3-319-76587-7.
• Q. Z. Sheng, Wei Emma Zhang, and E. M. Shakshuki. “Practices and applications in ambient and intelligent information systems”. In: Pers. Ubiquitous Comput. 21.6 (2017), pp. 1039–1040. doi: 10.1007/S00779-017-1037-X.

Selected Journal Articles

• H. Zhuang, Wei Emma Zhang, W. Chen, J. Yang, and Q. Z. Sheng. “Improving Faithfulness and Factuality with Contrastive Learning in Explainable Recommendation”. In: ACM Trans. Intell. Syst. Technol. Accepted on Feb 2024 (2024). doi: 10.1145/3653984. paper.
• Z. Li, Y. Xie, Wei Emma Zhang, P. Wang, L. Zou, F. Li, X. Luo, and C. Li. “Disentangle interest trend and diversity for sequential recommendation”. In: Inf. Process. Manag. 61.2 (2024), p. 103619. doi: 10.1016/J.IPM.2023.103619. paper.
• Z. Yang, Y. Shen, L. Hou, Wei Emma Zhang, and T. Chen. “S3Seg:A Three-Stage Unsupervised Foreground and Background Segmentation Network”. In: IEEE Signal Process. Lett. 31 (2024), pp. 1484–1488. doi: 10.1109/LSP.2024.3404348. paper.
• C. Ma, Wei Emma Zhang, M. Guo, H. Wang, and Q. Z. Sheng. “Multi-document Summarization via Deep Learning Techniques: A Survey”. In: ACM Comput. Surv. 55.5 (2023), 102:1–102:37. doi:10.1145/3529754. paper.
• D. H. Tran, Q. Z. Sheng, Wei Emma Zhang, A. Aljubairy, M. Zaib, S. A. Hamad, N. H. Tran, and N. L. D. Khoa. “HeteGraph: graph learning in recommender systems via graph convolutional networks”. In: Neural Comput. Appl. 35.18 (2023), pp. 13047–13063. doi: 10.1007/S00521-020-05667-Z. paper.
• A. Mahmood, Q. Z. Sheng, Wei Emma Zhang, Y. Wang, and S. Sagar. “Toward a Distributed Trust Management System for Misbehavior Detection in the Internet of Vehicles”. In: ACM Trans. Cyber Phys. Syst. 7.3 (2023), 16:1–16:25. doi: 10.1145/3594637. paper.
• Y. Shu, J. Zhang, Wei Emma Zhang, D. Zuo, and Q. Z. Sheng. “IQSrec: An Efficient and Diversified Skyline Services Recommendation on Incomplete QoS”. In: IEEE Trans. Serv. Comput. 16.3 (2023), pp. 1934–1948. doi: 10.1109/TSC.2022.3189503. paper.
• D. H. Tran, Q. Z. Sheng, Wei Emma Zhang, N. H. Tran, and N. L. D. Khoa. “CupMar: A deep learning model for personalized news recommendation based on contextual user-profile and multi-aspect article representation”. In: World Wide Web 26.2 (2023), pp. 713–732. doi:10.1007/S11280-022-01059-6. paper.
• W. Chen, Wei Emma Zhang, and L. Yue. “Death comes but why: A multi-task memory-fused prediction for accurate and explainable illness severity in ICUs”. In: World Wide Web 26.6 (2023), pp. 4025–4045. doi: 10.1007/S11280-023-01211-W. paper.
• D. H. Tran, Q. Z. Sheng, Wei Emma Zhang, S. A. Hamad, N. L. D. Khoa, and N. H. Tran. “Deep Conversational Recommender Systems: Challenges and Opportunities”. In: Computer 55.4 (2022), pp. 30–39. doi: 10.1109/MC.2020.3045426. paper.
• Z. Hussain, Q. Z. Sheng, Wei Emma Zhang, J. Ortiz, and S. Pouriyeh. “Non-invasive Techniques for Monitoring Different Aspects of Sleep: A Comprehensive Review”. In: ACM Trans. Comput. Heal. 3.2 (2022), 24:1–24:26. doi: 10.1145/3491245. paper.
• M. Zaib, Wei Emma Zhang, Q. Z. Sheng, A. Mahmood, and Y. Zhang. “Conversational question answering: a survey”. In: Knowl. Inf. Syst. 64.12 (2022), pp. 3151–3195. doi: 10.1007/S10115-022-01744-Y. paper.
• Y. Qu, Wei Emma Zhang, J. Yang, L. Wu, and J. Wu. “Knowledge-aware document summarization: A survey of knowledge, embedding methods and architectures”. In: Knowl. Based Syst. 257 (2022), p. 109882. doi: 10.1016/J.KNOSYS.2022.109882. paper.
• Wei Emma Zhang, A. Shemshadi, Q. Z. Sheng, Y. Qin, X. Xu, and J. Yang. “A User-Oriented Taxi Ridesharing System with Large-Scale Urban GPS Sensor Data”. In: IEEE Trans. Big Data 7.2 (2021), pp. 327–340. doi: 10.1109/TBDATA.2018.2872450. paper.
• V. K. Nguyen, Wei Emma Zhang, and A. Mahmood. “Semi-supervised Intrusive Appliance Load Monitoring in Smart Energy Monitoring System”. In: ACM Trans. Sens. Networks 17.3 (2021), 32:1–32:20. doi: 10.1145/3448415. paper.
• S. A. Hamad, Q. Z. Sheng, Wei Emma Zhang, and S. Nepal. “Realizing an Internet of Secure Things: A Survey on Issues and Enabling Technologies”. In: IEEE Commun. Surv. Tutorials 22.2 (2020), pp. 1372–1391. doi: 10.1109/COMST.2020.2976075. paper.
• Z. Hussain, Q. Z. Sheng, and Wei Emma Zhang. “A review and categorization of techniques on device-free human activity recognition”. In: J. Netw. Comput. Appl. 167 (2020), p. 102738. doi:10.1016/J.JNCA.2020.102738. paper.
• Wei Emma Zhang, Q. Z. Sheng, A. Alhazmi, and C. Li. “Adversarial Attacks on Deep-learning Models in Natural Language Processing: A Survey”. In: ACM Trans. Intell. Syst. Technol. 11.3 (2020), 24:1–24:41. doi: 10.1145/3374217. paper.
• N. K. Tran, Q. Z. Sheng, M. A. Babar, L. Yao, Wei Emma Zhang, and S. Dustdar. “Internet of things search engine”. In: Commun. ACM 62.7 (2019), pp. 66–73. doi: 10.1145/3284763. paper.
• A. Mahmood, Wei Emma Zhang, and Q. Z. Sheng. “Software-Defined Heterogeneous Vehicular Networking: The Architectural Design and Open Challenges”. In: Future Internet 11.3 (2019), p. 70. doi: 10.3390/FI11030070. paper.
• Wei Emma Zhang, Q. Z. Sheng, L. Yao, K. Taylor, A. Shemshadi, and Y. Qin. “A Learning Based Framework for Improving Querying on Web Interfaces of Curated Knowledge Bases”. In: ACM Trans. Internet Techn. 18.3 (2018), 35:1–35:20. doi: 10.1145/3155806. paper.
• Wei Emma Zhang, Q. Z. Sheng, J. H. Lau, E. Abebe, and W. Ruan. “Duplicate Detection in Programming Question Answering Communities”. In: ACM Trans. Internet Techn. 18.3 (2018), 37:1–37:21. doi: 10.1145/3169795. paper.

Selected Conference Papers

• H. Zhuang, Wei Emma Zhang, C. Dong, J. Yang, and Q. Sheng. “Trainable Hard Negative Examples in Contrastive Learning for Unsupervised Abstractive Summarization”. In: Findings of the Association for Computational Linguistics: EACL 2024, St. Julian’s, Malta, March 17-22, 2024. Ed. by Y. Graham and M. Purver. 2024, pp. 1589–1600. paper.
• H. Zhuang, Wei Emma Zhang, L. Xie, W. Chen, J. Yang, and Q. Sheng. “Automatic, Meta and Human Evaluation for Multimodal Summarization with Multimodal Output”. In: Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), NAACL 2024, Mexico City, Mexico, June 16-21, 2024. Ed. by K. Duh, H. Gómez-Adorno, and S. Bethard. pp. 7768–7790. doi: 10.18653/V1/2024.NAACL- LONG.430. paper.
• Wei Emma Zhang, P. Chen, J. Yang, Y. Tang, and J. Su. “A Capability Description Language Design for Data Products”. In: Proceedings of the Second ACM Data Economy Workshop, DEC 2023, Seattle, WA, USA, 18 June 2023. ACM, 2023, pp. 21–26. doi: 10.1145/3600046.3600050. paper.
• Wei Emma Zhang, P. Chen, J. Yang, J. Su, and Q. Z. Sheng. “Data Product-Oriented Services for Data Ecosystem”. In: IEEE International Conference on Web Services, ICWS 2023, Chicago, IL, USA, July 2-8, 2023. Ed. by C. A. Ardagna, B. Benatallah, H. Bian, C. K. Chang, R. N. Chang, J. Fan, G. C. Fox, Z. Jin, X. Liu, H. Ludwig, M. Sheng, and J. Yang. IEEE, 2023, pp. 755–762. doi:10.1109/ICWS60048.2023.00102. paper.
• C. Chen, Wei Emma Zhang, A. S. Shakeri, and M. Fiza. “The Exploration of Knowledge-Preserving Prompts for Document Summarisation”. In: International Joint Conference on Neural Networks, IJCNN 2023, Gold Coast, Australia, June 18-23, 2023. IEEE, 2023, pp. 1–8. doi:10.1109/IJCNN54540.2023.10191910. paper.
• Z. Wen, Wei Emma Zhang, L. Guo, and W. Chen. “Demo Abstract: Navigating Indoors: A Cost-effective Drone-based Solution”. In: Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems, SenSys 2023, Istanbul, Turkiye, November 12-17, 2023. Ed. by M. R.Eskicioglu, P. Huang, and N. Patwari. ACM, 2023, pp. 496–497. doi: 10.1145/3625687.3628412. paper.
• M. Zaib, Wei Emma Zhang, Q. Z. Sheng, S. Sagar, A. Mahmood, and Y. Zhang. “Learning to Select the Relevant History Turns in Conversational Question Answering”. In: Web Information Systems Engineering - WISE 2023 - 24th International Conference, Melbourne, VIC, Australia, October 25-27, 2023, pp. 334–348. doi: 10.1007/978-981-99-7254-8_26. paper.
• H. Zhuang, Wei Emma Zhang, J. Yang, C. Ma, Y. Qu, and Q. Z. Sheng. “Learning From the Source Document: Unsupervised Abstractive Summarization”. In: Findings of the Association for Computational Linguistics: EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11, 2022. pp. 4194–4205. doi: 10.18653/V1/2022.FINDINGS-EMNLP.309. paper.
• Wei Emma Zhang, Q. Z. Sheng, A. Mahmood, D. H. Tran, M. Zaib, S. A. Hamad, A. Aljubairy, A. A. F. Alhazmi, S. Sagar, and C. Ma. “The 10 Research Topics in the Internet of Things”. In: 6th IEEE International Conference on Collaboration and Internet Computing, CIC 2020, Atlanta, GA, USA, December 1-3, 2020. IEEE, 2020, pp. 34–43. doi: 10.1109/CIC50333.2020.00015. paper.
• R. Tang, C. Ma, Wei Emma Zhang, Q. Wu, and X. Yang. “Semantic Equivalent Adversarial Data Augmentation for Visual Question Answering”. In: Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, pp. 437–453. doi: 10.1007/978-3-030-58529-7_26. paper.

Full list is here.