Publications

For a complete list of publications, visit my google scholar page

Here is a full list of selected journal and conference publications

Visit here for some prototypes and demos that we created

Scholarly Books

1. X. Liu, Y. Yang, J. Chen, Cost-Effective Temporal QoS Management in Scientific Cloud Workflow Systems, Morgan Kaufmann Publishers, USA, 2012. (ISBN: 978-0-12-397010-7).

2. X. Liu, D. Yuan, G. Zhang, W. Li, D. Cao, Q. He, J. Chen, Y. Yang, The Design of Cloud Workflow Systems , Springer, 2012. (ISBN: 978-1-4614-1933-4).

Selected Refereed Journal Articles (Top 20)

1. J. Xu, X. Liu, A. Neiat, L. Chu, X. Li and Y. Yang，A Holistic and Hybrid Service Selection Strategy for MEC-based UAV Last-mile Delivery Systems, IEEE Transactions on Services Computing, accepted on 19 August 2024. (SJR Q1)

2. Y. Guo, X. Liu, A. Zhou, S. Wang, Service Routing in Multi-tier Edge Computing: A Matching Game Approach, IEEE Journal On Selected Areas in Communications, accepted on 25 Oct. 2022. (SJR Q1) 

3. J. Xu, R. Ding, X. Liu, X. Li, J. Grundy, Y. Yang, EdgeWorkflow: One Click to Test and Deploy Your Workflow Applications to the Edge, Journal of Systems and Software, accepted on 25 July 2022. (CORE A) https://github.com/ISEC-AHU/EdgeWorkflow 

4. B. Huang, X. Liu, Y. Xiang, D. Yu, S. Deng, S. Wang, Reinforcement learning for cost-effective IoT service caching at the edge, Journal of Parallel and Distributed Computing, accepted on 9 June 2022. (CORE A)

5. D. Shao, X. Lu, X. Liu, 3D Intracranial Aneurysm Classification and Segmentation via Unsupervised Dual-branch Learning, IEEE Journal of Biomedical and Health Informatics, accepted on 28 May 2022.  (CORE A*)

6. X. Li, T. Chen, D. Yuan, J. Xu, and X. Liu, A Novel Graph-based Computation Offloading Strategy for Workflow Applications in Mobile Edge Computing, IEEE Transactions On Services Computing, accepted on 25 May 2022. (CORE A*)

7. H. Luo, T. Chen, X. Li, S. Li, C. Zhang, G. Zhao, X. Liu, KeepEdge: A Knowledge Distillation Empowered Edge Intelligence Framework for Visual Assisted Positioning in UAV Delivery, IEEE Transactions on Mobile Computing, accepted on 4 March 2022. https://ieeexplore.ieee.org/document/9732222 (CORE A*)

8. S. Ding, H. Huang, Z. Li, X. Liu, S. Yang, SCNET: A Novel UGI Cancer Screening Framework Based on Semantic-Level Multimodal Data Fusion, IEEE Journal of Biomedical and Health Informatics, vol. 25, issue 1, Jan. 2021. (CORE A*)

9. L. Pan, X. Liu, J. Zhang, J. Xu, X. Li, A Multi-objective Clustering Evolutionary Algorithm for Multi-workflow Computation Offloading in Mobile Edge Computing, IEEE Transactions on Cloud Computing, accepted on 30 November 2021, https://doi.ieeecomputersociety.org/10.1109/TCC.2021.3132175. (SCI Q1)

10. J. Xu, X. Liu, X. Li, L. Zhang, J. Jin, and Y. Yang, Energy-aware Computation Management Strategy for Smart Logistic System with MEC, IEEE Internt of Things Journal, https://doi.org/10.1109/JIOT.2021.3115346, accepted on 16 September 2021. (SCI Q1)

11. H. Luo, X. Liu, J. Liu, Y. Yang, J. Grundy, Runtime Verification of Business Cloud Workflow Temporal Conformance, IEEE Transactions on Services Computing, accepted on 19 December 2019, https://doi.org/10.1109/TSC.2019.2962666. (CORE A*)

12. X. Li, Y. Wu, X. Liu, E. Zhu, H. Yi, F. Wang, C. Zhang and Y. Yang, A Novel Workflow-Level Data Placement Strategy for Data-Sharing Scientific Cloud Workflows, IEEE Transactions on Services Computing. published online: https://doi.org/10.1109/TSC.2016.2625247, 2016.  (CORE A*)

13. M. Chen, S. Huang, X. Fu, X. Liu and J. He, Statistical Model Checking-Based Evaluation and Optimization for Cloud Workflow Resource Allocation, IEEE Transactions on Cloud Computing, published online: http://dx.doi.org/10.1109/TCC.2016.2586067 (SCI Q1)

14. D. Yuan, X. Liu and Y. Yang, Dynamic on-the-fly Minimum Cost Benchmarking for Storing Generated Scientific Datasets in the Cloud, IEEE Transactions on Computers, 64(10):2781-2795, 2015. (CORE A*)

15. G. Zhang, X. Liu and Y. Yang, Time-Series Pattern based Effective Noise Generation for Privacy Protection on Cloud. IEEE Transactions on Computers, 64(5):1456-1469, 2015. (CORE A*)

16. D. Yuan, L. Cui, W. Li, X. Liu and Y. Yang, An Algorithm for Finding the Minimum Cost of Storing and Regenerating Datasets in Multiple Clouds. IEEE Transactions on Cloud Computing, accepted on Oct. 2, 2015. (SCI Q1)

17. X. Liu, Y. Yang, D. Yuan and J. Chen, Do We Need to Handle Every Temporal Violation in Scientific Workflow Systems? ACM Transactions on Software Engineering and Methodology, 23(1): Article 5, 2014.  (CORE A*)

18. D. Yuan, Y. Yang, X. Liu, W. Li, L. Cui, M. Xu and J. Chen, A Highly Practical Approach towards Achieving Minimum Datasets Storage Cost in the Cloud. IEEE Transactions on Parallel and Distributed Systems, 24(6):1234-1244, 2013. (CORE A*)

19. X. Liu, Y. Yang, Y. Jiang and J. Chen, Preventing Temporal Violations in Scientific Workflows: Where and How, IEEE Transactions on Software Engineering, 37(6):805-825, 2011. (CORE A*)

20. D. Yuan, Y. Yang, X. Liu and J. Chen, On-demand Minimum Cost Benchmarking for Intermediate Datasets Storage in Scientific Cloud Workflow Systems. Journal of Parallel and Distributed Computing, 71(1):316-332, 2011. (CORE A)

Selected Refereed Conference Papers (Top 20)

1. O. Wang, X. Liu, Chetan Arora, J. Grundy, Thuong Hoang, Understanding VR Accessibility Practices of VR Professionals, ACM CHI conference on Human Factors in Computing Systems, accepted on 17 Jan. 2025. (CORE A*)

2. J. Xu, W. Du, X. Liu, X. Li, LLM4Workflow: An LLM-based Automated Workflow Model Generation, 39th IEEE/ACM International Conference on Automated Software Engineering (ASE2024 Demo Track), accepted on 9 August, 2024. (CORE A*) https://youtu.be/XRQ0saKkuxY

3. Y. Xu, Y. Li, H. Luo, X. Fan, X. Liu, FBLG: A Local Graph Based Approach for Handling Dual Skewed Non-IID Data in Federated Learning, The 33rd International Joint Conference on Artificial Intelligence (IJCAI-24), accepted on 17 April 2024. (CORE A*)

4. X. Zhang, L. Liu, Y. Wang, X. Liu, H. Liu, C. Arora, H. Wang, W. Wang, T. Hoang, Auto-Generated Personas: Enhancing User-centered Design Practices among University Students, ACM CHI conference on Human Factors in Computing Systems (CHI 2024 - LBW Track), accepted on 1 March 2024. (CORE A*)

5. J. Xu, X. Liu, W. Pan, X. Li, A. yao, Y. Yang, EXPRESS 2.0: An Intelligent Service Management Framework for AIoT Systems in the Edge, 38th IEEE/ACM International Conference on Automated Software Engineering (ASE23 Demo Track), accepted on 7 July 2023. (CORE A*)

6. O. Wang, X. Liu, B. Cheng, C. Arora, T. Hoang, VR4HcRE: Virtual Reality Platform for Human-centric Requirements Elicitation, 21st IEEE International Symposium on Mixed and Augmented Reality (ISMAR'22, Posters Track), accepted on 16 August 2022.  (CORE A*)

7. X. Wang, P. Zhou, Y. Wang, X. Liu, J. Liu and H. Wu, ServiceBERT: A Pre-Trained Model for Web Service Tagging and Recommendation, 19th International Conference on Service Oriented Computing (ICSOC 2021), accepted on 01 October 2021. (CORE A)

8. X. Wang, X. Liu, L. Li, X. Chen, J. Liu and H. Wu, Time-aware User Modeling with Check-in Time Prediction for Next POI Recommendation Service, 2021 IEEE International Conference on Web Services (ICWS2021), accepted on 9 July 2021. (CORE A)

9. J. Li, K. Xu, L. Chen, Z. Zheng, and X. Liu, Graphgallery: A Platform for Fast Benchmarking and Easy Development of Graph Neural Networks Based Intelligent Software, 43rd International Conference on Software Engineering (Demo Track), accepted on 22 Jan. 2021. (CORE A*)

10. X. Wang, J. Liu, L. Li, X. Chen, X. Liu, H. Wu, Detecting and Explaining Self-Admitted Technical Debts with Attention-based Neural Networks, 35th IEEE/ACM International Conference on Automated Software Engineering (ASE20 Research Track), accepted on 31 July 2020. (CORE A*) 

11. H. Gao, Y. Xu, X. Liu, J. Xu, T. Chen, B. Zhou, R. Li, X. Li, Edge4Sys: A Device-Edge Collaborative Framework for MEC based Smart Systems, 35th IEEE/ACM International Conference on Automated Software Engineering (ASE20 LBR Track), accepted on 13 August 2020. (CORE A*) -  Distinguished LBR Paper Award

12. X. Wang, J. Liu, X. Liu, X. Cui, H. Wu, A Novel Dual-Graph Convolutional Network based Web Service Classification Framework, 2020 IEEE International Conference on Web Services (ICWS2020), accepted on 20 July 2020. (CORE A)

13. J. Xu, X. Liu, X. Li, L. Zhang, Y. Yang,  EXPRESS: An Energy-Efficient and Secure Framework for Mobile Edge Computing and Blockchain based Smart Systems, 35th IEEE/ACM International Conference on Automated Software Engineering (ASE20 Demo Track), accepted on 04 July 2020. (CORE A*) Video URL: https://youtu.be/r3U1iU8tSmk 

14. D. Shao, X. Liu, B. Cheng, O. Wang, T. Hoang, Edge4Real: A Cost-Effective Edge Computing based Human Behaviour Recognition System for Human-Centric Software Engineering, 35th IEEE/ACM International Conference on Automated Software Engineering (ASE20 Demo Track), accepted on 04 July 2020. (CORE A*) Video URL: https://youtu.be/dH0oWnWk924

15. C.Zhang, X. Liu, X. Zheng, R. Li, H. Liu, FengHuoLun: A Federated Learning based Edge Computing Platform for Cyber-Physical Systems, 18th Annual IEEE International Conference on Pervasive Computing and Communications (PerCom2020 - Work In Progress Track), accepted on 11 Jan. 2020. (CORE A*)

16. X. Liu, L. Fan, J. Xu, X. Li, L. Gong, J. Grundy, Y. Yang, FogWorkflowSim: An Automated Simulation Toolkit for Workflow Performance Evaluation in Fog Computing, 34th IEEE/ACM International Conference on Automated Software Engineering (ASE 2019 - Demo Track), accepted on 13 August 2019. (CORE A*) Video URL: https://youtu.be/AsMovcuSkx8 

17. V. Pham, X. Liu, J. Zheng, M. Fu, S. Deshpande, W.  Xia, R. Zhou and M. Abdelrazek, PaaS - Black or White: An Investigation into Software Development Model for Building Retail Industry SaaS, 2017 International Conference on Software Engineering (ICSE Poster Track), Buenos Aires, Argentina, May 20-28, 2017. (CORE A*)

18. W. Zhang, X. Liu and Y. Yang, Let Smart Ants Help You Reduce the Delay Penalty of Multiple Software Projects, 2017 International Conference on Software Engineering (ICSE Poster Track), Buenos Aires, Argentina, May 20-28, 2017. (CORE A*)

19. D. Du, M. Chen, X. Liu and Y. Yang, A Novel Quantitative Evaluation Approach for Software Project Schedules using Statistical Model Checking, 36th International Conference on Software Engineering (ICSE NIER Track), pp. 476-479, Hyderabad, India, June 2014. (CORE A*) 

20. X. Liu, Y. Yang, D. Cao and D. Yuan, Selecting Checkpoints along the Time Line: A Novel Temporal Checkpoint Selection Strategy for Monitoring a Batch of Parallel Business Processes, 35th International Conference on Software Engineering (ICSE NIER Track), pp. 1281-1284, San Francisco, USA, May 2013. (CORE A*) 

PhD Thesis

My PhD Thesis at Swinburne University of Technology (2011): A novel probabilistic temporal framework and its strategies for cost-effective delivery of high QoS in scientific cloud workflow systems, accessed online at: http://hdl.handle.net/1959.3/192118. (This thesis was named best thesis by the Faculty of Information and Communication Technologies) 

CORE Conference Ranking Portal: http://portal.core.edu.au/conf-ranks/ 

CORE Journal Ranking Portal: http://portal.core.edu.au/jnl-ranks/ 

CCF Conference and Journal Rankings: https://www.ccf.org.cn/Academic_Evaluation/By_category/