Yang Gu

Orcid: 0000-0001-7905-1182

Affiliations:
  • Shanghai Jiao Tong University, Shanghai, China


According to our database1, Yang Gu authored at least 15 papers between 2022 and 2025.

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

Timeline

Legend:

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Links

Online presence:

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Bibliography

2025
Survey and Benchmark of Anomaly Detection in Business Processes.
IEEE Trans. Knowl. Data Eng., January, 2025

FeadSeq: A Personalized Federated Anomaly Detection Framework for Discrete Event Sequences.
ACM Trans. Knowl. Discov. Data, 2025

ADELA: Accelerating Evolutionary Design of Machine Learning Pipelines with the Accompanying Surrogate Model.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
WAKE: A Weakly Supervised Business Process Anomaly Detection Framework via a Pre-Trained Autoencoder.
IEEE Trans. Knowl. Data Eng., June, 2024

GAMA: A multi-graph-based anomaly detection framework for business processes via graph neural networks.
Inf. Syst., 2024

Large Language Models for Constructing and Optimizing Machine Learning Workflows: A Survey.
CoRR, 2024

MANSOR: A module alignment method based on neighbor information for scientific workflow.
Concurr. Comput. Pract. Exp., 2024

COMB: Interconnected Transformers-Based Autoencoder for Multi-Perspective Business Process Anomaly Detection.
Proceedings of the IEEE International Conference on Web Services, 2024

ProSwats: A Proxy-based Scientific Workflow Retrieval Approach by Bridging the Gap between Textual and Structural Semantics.
Proceedings of the IEEE International Conference on Web Services, 2024

2023
AIMED: An automatic and incremental approach for business process model repair under concept drift.
Inf. Syst., October, 2023

GRASPED: A GRU-AE Network Based Multi-Perspective Business Process Anomaly Detection Model.
IEEE Trans. Serv. Comput., 2023

SWORTS: A Scientific Workflow Retrieval Approach by Learning Textual and Structural Semantics.
IEEE Trans. Serv. Comput., 2023

SWARM: A Scientific Workflow Fragments Recommendation Approach via Contrastive Learning and Semantic Matching.
Proceedings of the Service-Oriented Computing - 21st International Conference, 2023

Plan, Generate and Match: Scientific Workflow Recommendation with Large Language Models.
Proceedings of the Service-Oriented Computing - 21st International Conference, 2023

2022
RCPM: A Rule-Based Configurable Process Mining Method.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2022


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