List of selected publications

Scholarly Books

1. X. Li, J. Xu. X. Liu, Y. Yang, Edge Workflow Systems (in Chinese), Science Press, China, May 2024. (ISBN-10: 7030782984)

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

3. 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).

4. A. Cherukuri, S. Ikram , G. Li , X. Liu, Encrypted Network Traffic Analysis, SpringerBriefs in Computer Science, 2024 https://link.springer.com/book/10.1007/978-3-031-62909-9
      

 Edited Research Books/Proceedings:

1. X. Liu, M. Mrissa, L. Zhang, D. Benslimane, A. Ghose, Z. Wang, A. Bucchiarone, W. Zhang, Y. Zou, Q. Yu (Eds.), Service-Oriented Computing – ICSOC 2018 Workshops, https://www.springer.com/gp/book/9783030176419, Hangzhou, China, 2018. 

2. J. Lv, H. Zhang, M. Hinchey, and X. Liu (Eds.), Proceedings of 24th Asia-Pacific Software Engineering Conference (APSEC2017), 4–8 December 2017, Nanjing, Jiangsu, China. 

3. J. Cao, X. Liu, K. Ren (Eds.), Second International Workshop on Process-Aware Systems (PAS 2015), Hangzhou, China, October 30, 2015. Springer Communications in Computer and Information Science Series, Vol. 602, 2016.

4. J. Cao, L. Wen, X. Liu (Eds.), First International Workshop on Process-Aware Systems (PAS 2014), Shanghai, China, October 17, 2014. Springer Communications in Computer and Information Science Series, Vol. 495, 2015.

Scholarly Book Chapters:

1. S Ikram, A Cherukuri, G Li, X Liu, Big data analytics for security intelligence, Vol. 2, pp. 1-20, Handbook of Big Data Analytics: Applications in ICT, Security and Business Analytics, Institution of Engineering & Technology, 2021.

2. A Cherukuri, I Thaseen, G Li, X Liu, V Das, A Raj, Integrity of IoT network flow records in encrypted traffic analytics, pp. 177-205, Security and Privacy in the Internet of Things: Architectures, Techniques, and Applications, Wiley, 2021.

3. D. Yuan, Y. Yang, X. Liu, J. Chen, Computation and Storage Trade-Off for Cost-Effectively Storing Scientific Datasets in the Cloud. Handbook of Data Intensive Computing, Chapter 5, pages 129-153, Springer, 2011.

4. X. Liu, D. Yuan, G. Zhang, J. Chen, Y. Yang, Chapter 13. SwinDeW-C: A Peer-to-Peer Based Cloud Workflow System, Handbook of Cloud Computing, pages 309-332, Springer, 2010.

Selected Journal/Conference Publications 

Selected Refereed Journal Articles (CORE A*/A or SJR Q1 Only)

1. E. Wang, J. Liu, X. Liu, B. Huang, X. Huang, Knowledge attention via radial basis functions for temporal knowledge graphs completion, Knowledge-Based Systems, https://doi.org/10.1016/j.knosys.2025.114336, accepted on 24 August 2025. (SJR Q1)

2. M. Zhu, J. Xu, X. Liu, X. Li, Y. Yang, Cost-Aware Heterogeneous Service Placement Strategies for MEC-based Unmanned Delivery, IEEE Transactions on Network and Service Management, accepted on 7 August 2025. (SJR Q1)

3. J. Xu, H. Liu, X. Liu, A. Neiat, X. Li, Y. Yang, Wind-Aware Service Provisioning Strategy for Multi-Package Drone Delivery, IEEE Transactions on Services Computing, accepted on 18 July 2025. (SJR Q1)

4. S. Qiu, H. Huang, Y. Kuang, H. Luo and X. Liu, Enhancing line-level defect prediction using bilinear attention fusion and ranking optimization, Empirical Software Engineering, accepted on 14 May. (SJR Q1)

5. S. Nirmani, M. Shahin, H. Khalajzadeh, X. Liu, A systematic literature review on task recommendation systems for crowdsourced software engineering, Information and Software Technology, https://doi.org/10.1016/j.infsof.2025.107753, accepted on 7 April 2025. (SJR Q1)

6. C. Dong, S. Pal, A. Yao, F. Jiang, S. Chen, X. Liu, Optimizing UAV delivery for pervasive systems through blockchain integration and adversarial machine learning, Computer Communications, https://doi.org/10.1016/j.comcom.2025.108113, accepted on 24 Feb. 2025. (SJR Q1)

7. C. Dong, S. Pal, S. Chen, F. Jiang and X. Liu, A Privacy-Aware Task Distribution Architecture for UAV Communications System Using Blockchain, IEEE Internet of Things Journal, doi: 10.1109/JIOT.2025.3529808, acccepted on 9 Jan. 2025. (SJR Q1)

8. A. Yao, S. Pal, G. Li, X. Li, Z. Zhang, F. Jiang, C. Dong, J. Xu, X. Liu, FedShufde: A privacy preserving framework of federated learning for edge-based smart UAV delivery system, Future Generation Computer Systems, https://doi.org/10.1016/j.future.2025.107706, accepted on 5 Jan. 2025. (SJR Q1)

9. Y. Wang, C. Arora, X. Liu, T. Hoang, V. Malhotra, B. Cheng, and J.C. Grundy,Who Uses Personas in Requirements Engineering: The Practitioners’ Perspective, Information and Software Technology, accepted on 21 October 2024. (CORE A)

10. J. Xu, X. Liu, J. Jin, W. Pan, X. Li and Y. Yang, Holistic Service Provisioning in a UAV-UGV Integrated Network for Last-Mile Delivery, IEEE Transactions on Network and Service Management, accepted on 17 October 2024. (SJR Q1)

11. 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)

12. F. Cui, S. Yu, Y. Chai, Y. Qian, Y. Jiang, Y. Liu, X. Liu, J. Li, A Bayesian deep recommender system for uncertainty-aware online physician recommendation, Information & Management, accepted on 12 August 2024. (SJR Q1)

13. D. Shao, X. Lu, W. Weijia, X. Liu, A. Mian, TriCI: Triple Cross-Intra Branch Contrastive Learning for Point Cloud Analysis, IEEE Transactions on Visualization and Computer Graphics, accepted on 13 August 2024. (SJR Q1)

14. B. Huang, L. Wang, X. Liu , Z. Huang, Y. Yin, F. Zhu, S. Wang, S. Deng, Reinforcement learning based online scheduling of multiple workflows in edge environment, IEEE Transactions on Network and Service Management, accepted on 9 July 2024. (SJR Q1)

15. J. Guo, J. Liu, J. Ding, X. Liu, B. Huang, L. Li, Auction-based client selection for online federated learning, Information Fusion, accepted on 25 June 2024. (SJR Q1)

16. L. Chen, Y. Xi, L.g Dong, M. Zhao, C. Li, X. Liu, X. Cui, Identifying influential nodes in complex networks via Transformer, Information Processing & Management, accepted on 9 May 2024. (SJR Q1)

17. A. Yao, S. Pal, X. Li, Z. Zhang, C. Dong, F. Jiang, X. Liu, A privacy-preserving location data collection framework for intelligent systems in edge computing, Ad Hoc Networks, accepted on 1 May 2024. (SJR Q1)

18. B. Huang, X. Huang, X. Liu, C. Ding, Y. Yin, S. Deng, Adaptive partitioning and efficient scheduling for distributed DNN training in heterogeneous IoT environment, Computer Communications, accepted 27 December 2023.  (SJR Q1)

19. J. Guo, J. Liu, X. Liu, L. Li, Summarizing Source Code through Heterogeneous Feature Fusion and Extraction, Information Fusion, accepted on 10 October 2023.  (SJR Q1)

20. R. Mohawesh, X. Liu, H. Arini, Y. Wu, H. Yin, Semantic graph based topic modelling framework for multilingual fake news detection, AI Open, accepted on 9 August 2023. (SJR Q1)

21. C. Dong, J. Zhou, Q. An, F. Jiang, S. Chen, L. Pan, and X. Liu, Optimizing Performance in Federated Person Re-Identification through Benchmark Evaluation for Blockchain-Integrated Smart UAV Delivery Systems, Drones, accepted on 19 June 2023. (SJR Q1)

22. J. Guo, J. Liu, X. Liu, Y. Wan and L. Li, Summarizing Source Code with Heterogeneous Syntax Graph and Dual Position, Information Processing & Management, accepted on 23 May, 2023. (CORE A)

23. J. Yu, X. Zhou, X. Liu, J. Liu, Z. Xie and K. Zhao, Detecting Multi-Type Self-Admitted Technical Debt with Generative Adversarial Network-based Neural Networks, Information and Software Technology, accepted on 3rd March 2023. (CORE A)

24. F. Zhang, J. Liu, Y. Wan, X. Yu, X. Liu and J. Keung, Diverse Title Generation for Stack Overflow Posts with Multiple Sampling Enhanced Transformer, Journal of Systems and Software, accepted on 28 Februry, 2023. (CORE A)

25. Y. Chen, H. Wang, G. Zhang, X. Liu, W. Huang, X. Han, X. Li, M. Martin and L. Tao, Contrastive Learning for Prediction of Alzheimer’s Disease Using Brain 18F-FDG PET, IEEE Journal of Biomedical and Health Informatics, accepted on 17 December 2022. (CORE A*)

26. M. Akhtar, J. Liu; and X. Liu, NRAND: An Efficient and Robust Dismantling Approach for Infectious Disease Network, Information Processing & Management, accepted on 2 December, 2022. (CORE A)

27. 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)  

28. F. Dong, X. Ge, Q. Li, J. Zhang, D. Shen, S. Liu, X. Liu, G. Li, F. Wu, J. Luo, PADP-FedMeta: A personalized and adaptive differentially private federated meta learning mechanism for AIoT, Journal of Systems Architecture, accepted 2 Oct. 2022. (SJR Q1)  

29. X. Huang, S. Wang, M. Zhang, T. Hu, A. Hohl, B. She, X. Gong, J. Li, X. Liu, O. Gruebner, R. Liu, X. Li, Z. Liu, X. Ye, Z. Li, Social media mining under the COVID-19 context: Progress, challenges, and opportunities, International Journal of Applied Earth Observations and Geoinformation, accepted 5 August 2022. (SJR Q1)

30. 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 

31. Y. Xu, Z. Zheng, X. Liu, A. Yao, X. Li, Three-Way Decisions Based Service Migration Strategy in Mobile Edge Computing, Information Sciences, accepted on 19 July 2022. (CORE A) 

32. M. Akhtar, Z. Xie, J. Liu, X. Liu, B. Huang, Entity Alignment Based on Relational Semantics Augmentation for Multilingual Knowledge Graphs, Knowledge based Systems, accepted on 17 July 2022. (SJR Q1)

33. X. Wang, X. Liu, H. Wu, J. Liu, X. Chen, Z. Xu, Jointly Learning Invocations and Descriptions for Context-aware Mashup Tagging with Graph Attention Network, World Wide Web Journal, accepted on 16 July 2022. (CORE A)

34. 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)

35. 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*)

36. 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*)

37. Y. Qian, W. Xu, X. Liu, H. Ling, Y. Jiang, Y. Chai, Y. Liu, Popularity prediction for marketer-generated content: A text-guided attention neural network for multi-modal feature fusion, Information Processing & Management, Volume 59, Issue 4, 2022, https://doi.org/10.1016/j.ipm.2022.102984. (CORE A)

38. K. Zhao, J. Liu, Z. Xu, X. Liu, L. Xue, Z. Xie, Y. Zhou, X. Wang, Graph4Web: A Relation-Aware Graph Attention Network for Web Service Classification, Journal of Systems and Software, accepted on 04 April 2022. (CORE A)

39. 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. (CORE A*)

40. J. Yu, K. Zhao, J. Liu, X. Liu, Z. Xu, X. Wang, Exploiting Gated Graph Neural Network for Detecting and Explaining Self-Admitted Technical Debts, Journal of Systems and Software, accepted on 05 January 2022. (CORE A)

41. S. Li, H. Luo, G. Zhao, M. Tang, X. Liu, bi-Directional Bayesian Probabilistic Model based Hybrid Grained Semantic Matchmaking for Web Service Discovery, World Wide Web Journal, accepted on 03 January 2022. (CORE A)

42. L. Pan, X. Liu, Z. Jia, 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. (SJR Q1)

43. 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, accepted on 16 September 2021. (SJR Q1)

44. B. Wang, S. Ding, X. Liu, X. Li, G. Li, Predictive Classification of ICU Readmission Using Weight Decay Random Forest, Future Generation Computer Systems, accepted on 08 June 2021. (CORE A)

45. B. Huang, X. Liu, S. Wang, L. Pan, V. Chang, Multi-agent reinforcement learning for cost-aware collaborative task execution in energy-harvesting D2D networks, Computer Networks, accepted on 15 May 2021. (CORE A)

46. X. Wang, X. Liu, J. Liu, X. Chen, H. Wu, A Novel Knowledge Graph Embedding based API Recommendation Method for Mashup Development, World Wide Web Journal, accepted on 03 May 2021. (CORE A)

47. Y. Zhang, R. Pan, H. Luo, X. Liu, G. Zhao, Adaptive Cross-contextual Word Embedding for Word Polysemy with Unsupervised Topic Modeling, Knowledge-Based Systems, accepted on 03 Feb. 2021. (SJR Q1)

48. 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, accepted on 17 March 2020. (CORE A*)

49. 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. (CORE A*)

50. Q. Yang, Y. Liu, J. Yin, X. Liu, Y.Jiang, Detecting Topic-level Influencers in Large-Scale Scientific Networks, World Wide Web Journal, accepted on 11 October 2019. (CORE A)

51. S. Ding, Z. Li, X. Liu, H. Huang, S. Yang, Diabetic Complication Prediction Using Similarity Enhanced Latent Dirichlet Allocation Model, Information Sciences, accepted on 13 May 2019. (CORE A)

52. W. Li, X. Liu, J. Liu, P. Chen, S. Wan, X. Cui, On Improving the accuracy with Auto-Encoder on Conjunctivitis, Applied Soft Computing, accepted 7 May 2019. (SJR Q1)

53. P. Zhou, J. Liu, X. Liu, Z. Yang, J.Grundy, Is Deep Learning Better than Traditional Approaches in Tag Recommendation for Software Information Sites? Information and Software Technology, accepted on 10 Jan. 2019. (CORE A)

54. W. Yang, X. Liu, J. Liu, X. Cui, Prediction of Collective Actions Using Deep Neural Network and Species Competition Model on Social Media, World Wide Web Journal, accepted on 26 Nov. 2018. (CORE A)

55. Y. Jiang, T. Zhu, X. Liu, Y. Liu, Service Matchmaking for Internet of Things Based on Probabilistic Topic Model, Future Generation Computer Systems, accepted on 26 Nov. 2018. (CORE A)

56. T. Zheng, X. Zheng, Y. Zhang, Y. Deng, E. Dong, S. Yan, R. Zhang, X. Liu, SmartVM: a SLA-aware Microservice Deployment Framework, World Wide Web Journal, accepted on 4 April 2018. (CORE A)

57. R. Xu, Y. Wang, H. Luo, F. Wang, Y. Xie, X. Liu, Y. Yang, A sufficient and necessary temporal violation handling point selection strategy in cloud workflow, Future Generation Computer Systems, accepted 25 Mar 2018. (CORE A)

58. T. Wu, H. Gu, J. Zhou, T. Wei, X. Liu and M. Chen, Soft Error-Aware Energy-Efficient Task Scheduling for Workflow Applications in DVFS-Enabled Cloud, Journal of Systems Architecture, accepted on March 02 2018.  (SJR Q1)

59. J. Wang, Y. Jiang, Y. Liu, X. Liu, Group Recommendation based on a Bidirectional Tensor Factorization Model, World Wide Web Journal, published online: https://doi.org/10.1007/s11280-017-0493-6, 2017. (CORE A)

60. X. Yu, J. Liu, Z. Yang, X. Liu, The Bayesian Network Based Program Dependence Graph and Its Application to Fault Localization, Journal of Systems and Software, published online: https://doi.org/10.1016/j.jss.2017.08.025, 2017. (CORE A)

61. 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*)

62. 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  (SJR Q1)

63. 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*)

64. 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*)

65. 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.  (SJR Q1)

66. D. Wang, X. Liu, H. Luo, J. Fan, A Novel Framework for Semantic Entity Identification and Relationship Integration in Large Scale Text Data, Future Generation Computer Systems, available online 14 August 2015. (CORE A)

67. F. Wang, X. Liu, Y. Yang, Necessary and Sufficient Checkpoint Selection for Temporal Verification of High-Confidence Cloud Workflow Systems, Science China Information Sciences, 58(5):1-16, 2015. (SJR Q1)

68. J. Liu , J. Jiang, X. Cui, W. Yang, X. Liu, Power Consumption Prediction of Web Services for Energy-Efficient Service Selection, Personal and Ubiquitous Computing, 19(7): 1063-1073, 2015. (SJR Q1)

69. X. Li, Y. Liu, Y. Jiang, X. Liu, Identifying Social Influence in Complex Networks: A Novel Conductance Eigenvector Centrality Model, Neurocomputing, accepted Nov. 23, 2015. (SJR Q1)

70. 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*)

71. 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*)

72. 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*)

73. 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)

74. X. Liu, Z. Ni, D. Yuan, Y. Jiang, Z. Wu, J. Chen, Y. Yang, A Novel Statistical Time-Series Pattern based Interval Forecasting Strategy for Activity Durations in Workflow Systems, Journal of Systems and Software, 84(3):354-376, 2011. (CORE A)

75. X. Liu, Z. Ni, Z. Wu, D. Yuan, J. Chen and Y. Yang, A Novel General Framework for Automatic and Cost-Effective Handling of Recoverable Temporal Violations in Scientific Workflow Systems, Journal of Systems and Software, vol. 84(3):492-509, 2011. (CORE A)

76. D. Yuan, Y. Yang, X. Liu, J. Chen, A Data Placement Strategy in Cloud Scientific Workflows, Future Generation Computer Systems, 26(6): 1200-1214, Elsevier, 2010. (CORE A)

77. Y. Jiang, Y. Liu, X. Liu, S. Yang, Integrating Classification Capability and Reliability in Associative Classification: A β-stronger model, Expert Systems with Applications, 37(5):3953-3961, 2009. (SJR Q1)

78. Y. Liu, Y. Jiang, X. Liu, S. L. Yang, CSMC: a Combination Strategy for Multi-class Classification based on Multiple Association Rules, Knowledge-Based Systems, 21(8):786-793, 2008. (SJR Q1)

Selected Refereed Conference Papers (CORE A*/A Only)

1. Z. Zhang, S. Qian, Y. Wang, X. Liu, C. Arora, T. Hoang, J. Zhang, H. Duh, How Long Does It Take to Alleviate Discomfort? A Preliminary Study on Reducing Cybersickness in Novice Users, 2025 IEEE International Symposium on Mixed and Augmented Reality (ISMAR'25), accepted on 24 July 2025.  (CORE A*)

2. Y. 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*)

3. Y. Wu, K. Ran, M. Liu, A. Cardilini, A. Nurwidyantoro and X. Liu, CLEAR: Climate Policy Retrieval and Summarization Using LLMs, TheWebConf2025 Demo Track, accepted on 20 Jan. 2025. (CORE A*)

4. 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

5. S. Fung, X. Lu, D. Edirimuni, W. Pan, X. Liu, H. Li, SemReg: Semantics Constrained Point Cloud Registration, European Conference on Computer Vision 2024, accepted on 1 July 2024. (CORE A*)

6. X. Chen, X. Liu, F. Jiang, A. Yao, J. Xu, H. Zhang, X. Wu and X. Li, Bio-CEC: A Secure and Efficient Cloud-Edge Collaborative Biometric System using Cancelable Biometrics, IEEE International Conference on Web Services (ICWS 2024), accepted on 14 May 2024.  (CORE A)

7. 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*)

8. 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*)

9. 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*)

10. X. Zhang, L. Liu, Y. Wang, X. Liu, H. Wang, A. Ren and C. Arora, PersonaGen: A Tool for Generating Personas from User Feedback, 2023 IEEE International Requirements Engineering Conference (RE’23 Demo), accepted on 1 July 2023. (CORE A)

11. B. Cheng, C. Arora, X. Liu, T. Hoang, Y. Wang and J. Grundy, Multi-Modal Emotion Recognition for Enhanced Requirements Engineering: A Novel Approach, 2023 IEEE International Requirements Engineering Conference (RE’23 Next), accepted on 31 May 2023. (CORE A)

12. C. Zhang, X. Liu, M. Xiang, A. Yao, X. Fan and G. Li, Fed4ReID: Federated Learning with Data Augmentation for Person Re-identification Service in Edge Computing, 2023 IEEE International Conference on Web Services (ICWS2023), accepted on 09 May 2023. (CORE A)

13. W. Wang, X. Lu , D. SHAO , X. Liu, R. Dazeley, A. Robles-Kelly, W. Pan, Weighted Point Cloud Normal Estimation, 2023 IEEE International Conference on Multimedia and Expo, accepted on 13 March 2023. (CORE A)

14. Y. 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*)

15. X. Wang, X. Liu, P. Zhou, Q. Liu, J. Liu, H. Wu, X. Cui, Test-Driven Multi-Task Learning with Functionally Equivalent Code Transformation for Neural Code Generation, 37th IEEE/ACM International Conference on Automated Software Engineering (ASE2022 NIER Track), accepted on 10 July, 2022. (CORE A*)

16. W. Wang, X. Lu, D. Edirimuni, X. Liu, A, Robles-Kelly, Deep Point Cloud Normal Estimation via Triplet Learning, 2022 IEEE International Conference on Multimedia and Expo (ICME2022), accepted on 09 March 2022. (CORE A)

17. 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)

18. R. Li, H. Liu, G. Lou, X. Zheng, X. Liu, T. Y. Chen, Metamorphic Testing on Multi-module UAV Systems, 36th IEEE/ACM International Conference on Automated Software Engineering: Late-Breaking Results Track (ASE2021 LBR track), accepted on 20 August 2021. (CORE A*) 

19. 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)

20. X. Wang, X. Liu, J. Liu and H. Wu, Relational Graph Neural Network with Neighbor Interactions for Bundle Recommendation Service, 2021 IEEE International Conference on Web Services (ICWS2021), accepted on 9 July 2021. (CORE A)

21. C. Zhang, X. Liu, J. Xu, T. Chen, G. Li, F. Jiang and X. Li, An Edge based Federated Learning Framework for Person Re-identification in UAV Delivery Service, 2021 IEEE International Conference on Web Services (ICWS2021), accepted on 9 July 2021. (CORE A)

22. L. Chu, X. Li, J. Xu, A. Ghari Neiat and X. Liu, A Holistic Service Provision Strategy for Drone-as-a-Service in MEC-based UAV Delivery, 2021 IEEE International Conference on Web Services (ICWS2021), accepted on 9 July 2021. (CORE A)

23. B. Cheng, O. Wang, D. Shao, C. Arora, T. Hoang and X. Liu, Edge4Emotion: An Edge Computing based Multi-source Emotion Recognition Platform for Human-Centric Software Engineering, 21st IEEE/ACM international Symposium on Cluster, Cloud and Internet Computing (CCGrid 2021 Poster Track), accepted on 27/02/2021. (CORE A)  https://youtu.be/TqLjEDbzN90 

24. C. Dong, F. Jiang, X. Li, A. Yao, G. Li and X. Liu, A Blockchain-aided Self-Sovereign Identity Framework for Edge-based UAV Delivery System, 21st IEEE/ACM international Symposium on Cluster, Cloud and Internet Computing (CCGrid 2021 Poster Track), accepted on 27/02/2021. (CORE A)  https://youtu.be/wZR46ZRp3Lo

25. 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*)

26. 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 (Late Breaking Results Track), accepted on 13 August 2020. (CORE A*) -  Distinguished LBR Paper Award

27. 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*) 

28. 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)

29. 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 

30. 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

31. R. Li, X. Liu, X. Zheng, C. Zhang, H. Liu, TDD4Fog: A Test-Driven Software Development Platform for Fog Computing Systems, The 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid2020 - Research Poster), accepted on 27 Feb. 2020. (CORE A) https://youtu.be/CdQ4vIfwek4

32. L. Fan, X. Liu, X. Li, D. Yuan, J. Xu, Graph4Edge: A Graph-based Computation Offloading Strategy for Mobile-Edge Workflow Applications, 18th Annual IEEE International Conference on Pervasive Computing and Communications (Work In Progress Track), accepted on 11 Jan. 2020.  (CORE A*)

33. 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 (Work In Progress Track), accepted on 11 Jan. 2020.  (CORE A*)

34. M. He, X. Han, F. Jiang, R. Zhang, XZ. Liu, X. Liu, BlockMeds: A Blockchain based Online Prescription System with Privacy Protection, 17th International Conference on Service Oriented Computing (ICSOC2019 - Demo Track), accepted on 22 September, 2019.  (CORE A) Video URL:   https://youtu.be/jtCS33S6pQA 

35. G. Luo, X. Zheng, H. Liu, R. Xu, D. Nagumothu, R. Janapareddi, E. Zhuang and X. Liu, Verification of Microservices Using Metamorphic Testing, 19th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP2019), Melbourne, Australia, accepted on 29 August 2019. (Best Student Paper Award)

36. 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 

37. H. Luo, X. Liu, J. Liu, Y. Yang, Adaptive Temporal Verification and Violation Handling for Time-Constrained Business Cloud Workflows, 2018 International Conference on Service Oriented Computing (ICSOC 2018 - Short Paper), Hangzhou, China, accepted on 25 July, 2018.  (CORE A)

38. X. Fan, C. Xu, F. Tang, J. Qi, X. Liu, L. Chen, C. Wang, CommuteShare: A Ridesharing Service for Daily Commuters Using Cross-domain Urban Big Data, 25th IEEE International Conference on Web Services (ICWS 2018 - Work-in-Progress Track), 2018.  (CORE A)

39. H. Luo. X. Liu, J. Liu, Y. Yang, Propagation-aware Temporal Verification for Parallel Business Cloud Workflows, 24th IEEE International Conference on Web Services (ICWS 2017 - Research Track), June 25 - June 30, 2017, Honolulu, Hawaii, USA, accepted on 22 April, 2017.  (CORE A)

40. Y. Wang, X. Fan and X. Liu, Unlicensed Taxis Detection Service based on Large-Scale Vehicles Mobility Data, 24th IEEE International Conference on Web Services (ICWS 2017 - Short Paper Track), June 25 - June 30, 2017, Honolulu, Hawaii, USA, accepted on 26 April, 2017.  (CORE A)

41. 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*)

42. 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*)

43. X. Fan, Y. Wang, Y. Ma, Y. Hu and X. Liu, Exploring the Effectiveness of True Abnormal Data Elimination in Context-aware Web Services Recommendation,2016 IEEE International Conference on Web Service, San Francisco, USA, 2016.  (CORE A)

44. W. Zhang, Y. Yang, J. Xiao, X. Liu, M. Ali Babar, Ant Colony Algorithm based Scheduling for Handling Software Project Delay, 2015 International Conference on Software and Systems Process, pp. 52-56, Tallinn, Estonia, 2015.  (CORE A) 

45. 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, pp. 476-479, Hyderabad, India, June 2014. (CORE A*)

46. X. Liu, D. Wang, D. Yuan, F. Wang and Y. Yang, Throughput Based Temporal Verification for Monitoring Large Batch of Parallel Processes, 2014 International Conference on Software and Systems Process, pp. 124-133, Nanjing, China, May 2014.  (CORE A) 

47. R. Xu, X. Liu, Y. Xie, D. Yuan and Y. Yang, A Gaussian Fields based Mining method for Semi-Automating Staff Assignment in Workflow Application, 2014 International Conference on Software and Systems Process, pp. 178-182, Nanjing, China, May 2014.  (CORE A) 

48. 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, pp. 1281-1284, San Francisco, USA, May 2013.  (CORE A*) 

49. D. Wang, X. Liu, H. Luo and J. Fan, Semantic Entity Identification in Large Scale Data via Statistical Features and DT-SVM, 14th International Conference on Web Information System Engineering, pp.354-376, Nanjing, China, October 2013. (CORE A) 

50. D. Cao, X. Liu and Y. Yang, Novel Client-Cloud Architecture for Scalable Instance-Intensive Workflow Systems, 14th International Conference on Web Information System Engineering, pp. 270-284, Nanjing, China, October 2013.  (CORE A) 

51. D. Yuan, X. Liu, L. Cui, T. Zhang, W. Li, D. Cao, Y. Yang，An Algorithm for Cost-Effectively Storing Scientific Datasets with Multiple Service Providers in the Cloud, 9th IEEE International Conference on e-Science, pp.285-292, Beijing, October 2013.  (CORE A)

52. G. Zhang, Y. Yang, X. Liu and J. Chen, A Time-series Pattern based Noise Generation Strategy for Privacy Protection in Cloud Computing, 2012 International Symposium on Cluster, Cloud and Grid Computing, pp.458-465, Ottawa, Canada, May 2012.  (CORE A)

53. X. Liu, J. Chen, Z. Wu, Z. Ni, D. Yuan, Y. Yang, Handling Recoverable Temporal Violations in Scientific Workflow Systems: A Workflow Rescheduling Based Strategy, 10th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid2010), pp. 534-537, Melbourne, Australia, May, 2010. (CORE A)

54. D. Yuan, Y. Yang, X. Liu and J. Chen, A Cost-Effective Strategy for Intermediate Data Storage in Scientific Cloud Workflow Systems, 24th IEEE International Parallel & Distributed Processing Symposium, pp.1-12, Atlanta, USA, April 2010. (CORE A)

55. X. Liu, Y. Yang, J. Chen, Q. Wang and M. Li, Achieving On-Time Delivery: A Two-Stage Probabilistic Scheduling Strategy for Software Projects, 2009 International Conference on Software Process, Lecture Notes in Computer Science, Vol. 5543, pp. 317-329, Vancouver, Canada, May 2009. (CORE A) 

56. X. Liu, J. Chen and Y. Yang, A Probabilistic Strategy for Setting Temporal Constraints in Scientific Workflows, 6th International Conference on Business Process Management, Lecture Notes in Computer Science, Vol. 5240, pp. 180-195, Milan, Italy, September 2008. (CORE A)

57. X. Liu, J. Chen, K. Liu and Y. Yang, Forecasting Duration Intervals of Scientific Workflow Activities based on Time-Series Patterns, 4th IEEE International Conference on e-Science, pp. 23-30, Indianapolis, USA, Dec. 2008. (CORE A) 

58. Y. Yang, K. Liu, J. Chen, X. Liu, D. Yuan and H. Jin, An Algorithm in SwinDeW-C for Scheduling Transaction-Intensive Cost-Constrained Cloud Workflows, 4th IEEE International Conference on e-Science, pp. 374-375, Indianapolis, USA, December 2008. (CORE A)

Selected Publicaitons in Chinese Journals/Conferences:

1. Duan, Wenxue, Hu, Ming, Zhou, Qiong, Wu, Tingming, Zhou, Junlong, Liu, Xiao, Wei, Tongquan and Chen, Mingsong 2020, Reliability in cloud computing system: a review, Computer research and development, vol. 57, no. 1, pp. 102-123, doi: 10.7544/issn1000-1239.2020.20180675.

2. Li, Xue-Jun, Wu, Yang, Liu, Xiao, Cheng, Hui-Min, Zhu, Er-Zhou and Yang, Yun 2016, A novel datacenter-oriented data placement strategy of scientific workflow in hybrid cloud, Ruan jian xue bao/Journal of software, vol. 27, no. 7, pp. 1861-1875, doi: 10.13328/j.cnki.jos.004879.

3. Xu, J., Li, X., Ding, R. and Liu, X. 2019, Energy efficient multi-resource computation offloading strategy in mobile edge computing, Jisuanji Jicheng Zhizao Xitong/Computer integrated manufacturing systems, CIMS, vol. 25, no. 4, pp. 954-961, doi: 10.13196/j.cims.2019.04.018. (China BPM Conference)

4. Gao H., Li X., Zhou B., Liu X., Xu J., Energy efficient computing task offloading strategy for deep neural networks in mobile edge computing, (2020), Vol. 26, pp. 1607-1615, Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, C1 (China BPM Conference)

5. Wu, Zhang Jun, Liu, Xiao and Ni, Zhi Wei 2013, Forecasting model for activity durations in cloud workflow based on chaotic time series, Computer Integrated Manufacturing Systems, CIMS [Jisuanji Jicheng Zhizao Xitong ], vol. 19, no. 8, pp. 1920-1927. (China BPM Conference)