2026
SEAR: LLM-Powered Sequential Recommendation via Fusion of Collaborative, Semantic, and Rating Information.
Guan, W., Cao, J., Cai, Q., Gao, J., Cai, J., Ng, S. K.
Proceedings of the ACM Web Conference 2026 (WWW'26)
CCF-A
DUAL: A Federated Unsupervised Anomaly Detection Framework for Collaborative Business Processes.
Guan, W., Cao, J., Zhao, H., Gao, J., Qian, S.
IEEE Transactions on Services Computing (IEEE TSC)
CCF-A
2025
DABL: Detecting Semantic Anomalies in Business Processes Using Large Language Models.
Guan, W., Cao, J., Gao, J., Zhao, H., Qian, S.
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2025)
CCF-A
Promoting Knowledge Base Question Answering by Directing LLMs to Generate Task-Relevant Logical Forms.
Gao, J., Cao, J., Bu, R., Zhu, N., Guan, W., Yu, H.
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2025)
CCF-A
FeadSeq: A Personalized Federated Anomaly Detection Framework for Discrete Event Sequences.
Guan, W., Cao, J., Gao, J., Zhao, H., Qian, S.
ACM Transactions on Knowledge Discovery from Data (ACM TKDD)
CCF-B
Enhancing Graph-Based Fraud Detection by Adversarial Confidence Reweighting.
Gao, J., Cao, J., Qian, S., Guan, W.
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2025)
CCF-B
2024
Survey and Benchmark of Anomaly Detection in Business Processes.
Guan, W., Cao, J., Zhao, H., Gu, Y., Qian, S.
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE)
CCF-A
GAMA: A Multi-Graph-Based Anomaly Detection Framework for Business Processes via Graph Neural Networks.
Guan, W., Cao, J., Gu, Y., Qian, S.
Information Systems (IS)
CCF-B
COMB: Interconnected Transformers-Based Autoencoder for Multi-Perspective Business Process Anomaly Detection.
Guan, W., Cao, J., Yao, Y., Gu, Y., Qian, S.
IEEE International Conference on Web Services (IEEE ICWS 2024)
CCF-B
ProSwats: A Proxy-Based Scientific Workflow Retrieval Approach by Bridging the Gap Between Textual and Structural Semantics.
Gu, Y., Cao, J., Qian, S., Zhu, N., Guan, W.
IEEE International Conference on Web Services (IEEE ICWS 2024)
CCF-B
2023
WAKE: A Weakly Supervised Business Process Anomaly Detection Framework via a Pre-Trained Autoencoder.
Guan, W., Cao, J., Zhao, H., Gu, Y., Qian, S.
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE)
CCF-A
GRASPED: A GRU-AE Network Based Multi-Perspective Business Process Anomaly Detection Model.
Guan, W., Cao, J., Gu, Y., Qian, S.
IEEE Transactions on Services Computing (IEEE TSC)
CCF-A
SWORTS: A Scientific Workflow Retrieval Approach by Learning Textual and Structural Semantics.
Gu, Y., Cao, J., Qian, S., Guan, W.
IEEE Transactions on Services Computing (IEEE TSC)
CCF-A
When to Invoke a Prediction Service for Business Process Monitoring?
Cao, J., Wang, N., Qian, S., Guan, W.
IEEE Transactions on Services Computing (IEEE TSC)
CCF-A
AIMED: An Automatic and Incremental Approach for Business Process Model Repair Under Concept Drift.
Guan, W., Cao, J., Gu, Y., Qian, S.
Information Systems (IS)
CCF-B
Plan, Generate and Match: Scientific Workflow Recommendation with Large Language Models.
Gu, Y., Cao, J., Guo, Y., Qian, S., Guan, W.
International Conference on Service-Oriented Computing (ICSOC 2023)
CCF-B
Remaining Time Prediction for Collaborative Business Processes with Privacy Preservation.
Cao, J., Wang, C., Guan, W., Qian, S., Zhao, H.
International Conference on Service-Oriented Computing (ICSOC 2023)
CCF-B
SWARM: A Scientific Workflow Fragments Recommendation Approach via Contrastive Learning and Semantic Matching.
Gu, Y., Cao, J., Tang, J., Qian, S., Guan, W.
International Conference on Service-Oriented Computing (ICSOC 2023)
CCF-B