Meng Xi

Orcid: 0000-0002-6335-8312

Affiliations:
  • Zhejiang University, School of Software Technology, China


According to our database1, Meng Xi authored at least 26 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2018
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2023
2024
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Legend:

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Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
SEHGN: Semantic-Enhanced Heterogeneous Graph Network for Web API Recommendation.
IEEE Trans. Serv. Comput., 2024

Service Regulation Analysis Framework for Service Design Time: A Case Study of Internet Healthcare Service.
IEEE Trans. Serv. Comput., 2024

A truthful near-optimal mechanism for online linear packing-covering problem in the random order model.
Inf. Comput., 2024

Adaptive Fusion of Multi-View for Graph Contrastive Recommendation.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

UniGM: Unifying Multiple Pre-trained Graph Models via Adaptive Knowledge Aggregation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

CSMO: The Cross-Supervision Method for Microservice Optimization through Decentralized Data Management.
Proceedings of the Service-Oriented Computing - 22nd International Conference, 2024

Decoupled Behavior-based Contrastive Recommendation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Service Pattern Optimization: Focusing on Collaboration in Service Ecosystems.
IEEE Trans. Serv. Comput., 2023

Exploring High-Correlation Source Domain Information for Multi-Source Domain Adaptation in Semantic Segmentation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Functional and Structural Fusion based Web API Recommendations in Heterogeneous Networks.
Proceedings of the IEEE International Conference on Web Services, 2023

2022
Quantitative Assessment of Service Pattern: Framework, Language, and Metrics.
IEEE Trans. Serv. Comput., 2022

A Service Pattern-Oriented Computing Architecture for Service Ecosystems.
IEEE Internet Comput., 2022

Service Regulation: Modeling and Recognition.
Proceedings of the Service-Oriented Computing - 20th International Conference, 2022

2020
A Latent Feelings-aware RNN Model for User Churn Prediction with only Behaviour data.
Proceedings of the IEEE International Conference on Smart Data Services, 2020

A Rule-based Service Pattern Convergence Framework for Crossover Service.
Proceedings of the 2020 International Conference on Service Science, 2020

JTang Dubhe: a Service Pattern Modeling and Analysis System.
Proceedings of the 2020 IEEE International Conference on Services Computing, 2020

A Scenario-based Modeling Method for Crossover Services.
Proceedings of the 2020 IEEE International Conference on Services Computing, 2020

Service Pattern Modeling and Simulation: A Case Study of Rural Taobao.
Proceedings of the 2020 IEEE International Conference on Services Computing, 2020

2019
New Retail Business Analysis and Modeling: A Taobao Case Study.
IEEE Trans. Comput. Soc. Syst., 2019

A Latent Feelings-aware RNN Model for User Churn Prediction with Behavioral Data.
CoRR, 2019

A Scenario-Based Requirement Model for Crossover Healthcare Service.
Proceedings of the 2019 IEEE World Congress on Services, 2019

2018
Towards business identification modeling: A Taobao Case Study (S).
Proceedings of the 30th International Conference on Software Engineering and Knowledge Engineering, 2018

Service Language Model: New Ecology for Service Development.
Proceedings of the 30th International Conference on Software Engineering and Knowledge Engineering, 2018

MeCo-TSM: Multi-Entity Complex Process-Oriented Service Modeling Method.
Proceedings of the 2018 IEEE International Conference on Web Services, 2018

Crossover Service: Deep Convergence for Pattern, Ecosystem, Environment, Quality and Value.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

Massive Text Mining for Abnormal Market Trend Detection.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018


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