Jue Xie

Personal profile

Biography

Dr Jue (Grace) Xie is a Research Fellow in human-computer interaction at Action Lab. She is also a senior software engineer and has 15 years of applied research experience in software architectures, web information systems, consumer health informatics, information quality and knowledge engineering. Since 2002 from a research programmer to a software architect, Grace contributed significantly in system design, development and implementation to diverse interdisciplinary research projects within firstly Monash Centre for Distributed Systems and Software Engineering, Microsoft Research Asia, and Monash Centre for Organisational and Social Informatics. In 2012, after received her PhD from Monash Faculty of IT, Grace was appointed to teach and coordinate an IT double Masters course in partnership with China Southeast University at Suzhou joint campus. Before joining the Computer Human Interaction and Creativity group, Grace was a full-time researcher and senior IT developer in applying AI innovations for improved public healthcare at Monash Centre for Health Research and Implementation.

Over the course of her academic career, Grace has developed and delivered a number of web applications, mobile solutions and conversational AI innovations to facilitate quality information delivery, personalised services, and digital communications. For example, she recently developed ‘AskPCOS’, a mobile lifestyle intervention to help women manage Polycystic Ovary Syndrome that is used by thousands of women from over 90 countries. Her current work focuses on how to bootstrap people’s daily digital technology practice and facilitate coordinated action by communities using existing social media technologies and services. To this end, at Action Lab, she is undertaking research on the design, modelling and implementation of technologies and systems that underpin the novel services developing in collaboration with many academic and external partners.

Research interests

Web systems and services

Distributed and Mobile Computing Systems

Social networks and social medias

Applied conversational AI

Knowledge engineering

Supervision interests

To explore the conversational interface design and modern responsive architecture in the design and development of web and mobile systems; also to investigate models and patterns of the kinds of systems and services that utilise social media technologies to facilitate co-ordinated actions in a multi-disciplinary context.

Monash teaching commitment

Dr Grace Xie has experience as the Chief Examiner for the following units in the Faculty of IT:

FIT5183 Mobile and distributed computing systems
FIT5192 Enterprise and Internet applications development

Grace has experience as the Lecturer for the following units in the Faculty of IT:

Programming for distributed, parallel and mobile systems
Mobile and distributed computing systems
Service-oriented computing and web services
Internet applications development
Enterprise application development for the web

Research area keywords

Web Information Systems
Applied conversational AI
Mobile and Ubiquitous Computing
Social network and social medias
Health Informatics
HCI

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects

1 Finished

PLC Library Reuse in Digital Models of automation system Control Logic (PriMA)

Schmidt, H., Peake, I. & Xie, J.

12/12/05 → 31/10/06

Project: Research

Research Output

8 Conference Paper
3 Article

The large-scale implementation and evaluation of a healthy lifestyle programme in residential out-of-home care: study protocol

Pizzirani, B., O’Donnell, R., Bruce, L., Breman, R., Smales, M., Xie, J., Hu, H., Skouteris, H. & Green, R., 17 Oct 2019, (Accepted/In press) In : International Journal of Adolescence and Youth. 11 p.

Research output: Contribution to journal › Article › Other › peer-review

Open Access

File

Towards tenant demand-aware bandwidth allocation strategy in cloud datacenter

Cao, J., Ma, Z., Xie, J., Zhu, X., Dong, F. & Liu, B., 2019, (Accepted/In press) In : Future Generation Computer Systems. p. 1-12 12 p.

Research output: Contribution to journal › Article › Research › peer-review

3 Citations (Scopus)

Personalized mobile tool AskPCOS delivering evidence-based quality information about polycystic ovary syndrome

Xie, J., Burstein, F., Garad, R., Teede, H. J. & Boyle, J. A., 2018, In : Seminars in Reproductive Medicine. 36, 1, p. 66-72 7 p.

Research output: Contribution to journal › Article › Research › peer-review

2 Citations (Scopus)

Question-answering aspect classification with hierarchical attention network

Wu, H., Liu, M., Wang, J., Xie, J. & Shen, C., 2018, Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data: 17th China National Conference, CCL 2018 and 6th International Symposium, NLP-NABD 2018 Changsha, China, October 19–21, 2018 Proceedings. Sun, M., Liu, T., Wang, X., Liu, Z. & Liu, Y. (eds.). Cham Switzerland: Springer, p. 225-237 13 p. (Lecture Notes in Computer Science ; vol. 11221 ).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

2 Citations (Scopus)

Fine-grained product feature extraction in Chinese reviews

Wu, H., Liu, T. & Xie, J., 2017, Proceedings - 2017 International Conference on Computing Intelligence and Information System, CIIS 2017. Negnevitsky, M. (ed.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 327-331 5 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research