TGPPN: A Transformer and Graph Neural Network Based Point Process Network Model. - Qing Qi; Shitong Shen; Jian Cao 001; Wei Guan 006; Shiyu Gan (ChineseCSCW (1), 2023)

Remaining Time Prediction for Collaborative Business Processes with Privacy Preservation. - Jian Cao 001; Chi Wang; Wei Guan 006; Shiyou Qian; Haiyan Zhao 002 (ICSOC (2), 2023)

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)

When to Invoke a Prediction Service for Business Process Monitoring? - Jian Cao 001; Naixuan Wang; Shiyou Qian; Wei Guan 006 (IEEE Trans. Serv. Comput., 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)

LogLLM: Log-based Anomaly Detection Using Large Language Models. - Wei Guan 006; Jian Cao 001; Shiyou Qian; Jianqi Gao 001 (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)

Promoting Knowledge Base Question Answering by Directing LLMs to Generate Task-relevant Logical Forms. - Jianqi Gao 001; Jian Cao 001; Ranran Bu; Nengjun Zhu; Wei Guan 006; Hang Yu 006 (AAAI, 2025)

DABL: Detecting Semantic Anomalies in Business Processes Using Large Language Models. - Wei Guan 006; Jian Cao 001; Jianqi Gao 001; Haiyan Zhao 002; Shiyou Qian (AAAI, 2025)

Enhancing Graph-based Fraud Detection by Adversarial Confidence Reweighting. - Jianqi Gao 001; Jian Cao 001; Shiyou Qian; Wei Guan 006 (ICASSP, 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)