RCPM: A Rule-Based Configurable Process Mining Method. - Yang Gu 002; Yingrui Feng; Heng Huang; Yu Tian; Jian Cao 001 (ChineseCSCW (1), 2022)

Plan, Generate and Match: Scientific Workflow Recommendation with Large Language Models. - Yang Gu 002; Jian Cao 001; Yuan Guo; Shiyou Qian; Wei Guan 006 (ICSOC (1), 2023)

SWARM: A Scientific Workflow Fragments Recommendation Approach via Contrastive Learning and Semantic Matching. - Yang Gu 002; Jian Cao 001; Jinghua Tang; Shiyou Qian; Wei Guan 006 (ICSOC (2), 2023)

SWORTS: A Scientific Workflow Retrieval Approach by Learning Textual and Structural Semantics. - Yang Gu 002; Jian Cao 001; Shiyou Qian; Wei Guan 006 (IEEE Trans. Serv. Comput., 2023)

GRASPED: A GRU-AE Network Based Multi-Perspective Business Process Anomaly Detection Model. - Wei Guan 006; Jian Cao 001; Yang Gu 002; Shiyou Qian (IEEE Trans. Serv. Comput., 2023)

AIMED: An automatic and incremental approach for business process model repair under concept drift. - Wei Guan 006; Jian Cao 001; Yang Gu 002; Shiyou Qian (Inf. Syst., 2023)

ProSwats: A Proxy-based Scientific Workflow Retrieval Approach by Bridging the Gap between Textual and Structural Semantics. - Yang Gu 002; Jian Cao 001; Shiyou Qian; Nengjun Zhu; Wei Guan 006 (ICWS, 2024)

COMB: Interconnected Transformers-Based Autoencoder for Multi-Perspective Business Process Anomaly Detection. - Wei Guan 006; Jian Cao 001; Yan Yao; Yang Gu 002; Shiyou Qian (ICWS, 2024)

MANSOR: A module alignment method based on neighbor information for scientific workflow. - Yang Gu 002; Jian Cao 001; Shiyou Qian; Nengjun Zhu; Wei Guan 006 (Concurr. Comput. Pract. Exp., 2024)

Large Language Models for Constructing and Optimizing Machine Learning Workflows: A Survey. - Yang Gu 002; Hengyu You; Jian Cao 001; Muran Yu (CoRR, 2024)

GAMA: A multi-graph-based anomaly detection framework for business processes via graph neural networks. - Wei Guan 006; Jian Cao 001; Yang Gu 002; Shiyou Qian (Inf. Syst., 2024)

WAKE: A Weakly Supervised Business Process Anomaly Detection Framework via a Pre-Trained Autoencoder. - Wei Guan 006; Jian Cao 001; Haiyan Zhao 002; Yang Gu 002; Shiyou Qian (IEEE Trans. Knowl. Data Eng., 2024)

ADELA: Accelerating Evolutionary Design of Machine Learning Pipelines with the Accompanying Surrogate Model. - Yang Gu 002; Jian Cao 001; Hengyu You; Nengjun Zhu; Shiyou Qian (AAAI, 2025)

FeadSeq: A Personalized Federated Anomaly Detection Framework for Discrete Event Sequences. - Wei Guan 006; Jian Cao 001; Haiyan Zhao 002; Yang Gu 002; Shiyou Qian (ACM Trans. Knowl. Discov. Data, 2025)

Survey and Benchmark of Anomaly Detection in Business Processes. - Wei Guan 006; Jian Cao 001; Haiyan Zhao 002; Yang Gu 002; Shiyou Qian (IEEE Trans. Knowl. Data Eng., 2025)