Predicting the intrusion intentions by observing system call sequences. - Li Feng; Xiaohong Guan; Sangang Guo; Yan Gao; Peini Liu (Comput. Secur., 2004)

A Bayesian knowledge engineering framework for service management. - Wei Wang 033; Hao Wang 208; Bo Yang 013; Liang Liu 010; Peini Liu; Guosun Zeng (NOMS, 2008)

Value added on integrated solution of RFID enhanced asset traceability system. - Bo Yang; Peini Liu (SOLI, 2010)

A Bayesian Network-Based Knowledge Engineering Framework for IT Service Management. - Wei Wang 033; Hao Wang 208; Bo Yang 013; Liang Liu 010; Peini Liu; Guosun Zeng (IEEE Trans. Serv. Comput., 2013)

Mapping client messages to a unified data model with mixture feature embedding convolutional neural network. - Dingcheng Li; Peini Liu; Ming Huang 006; Yu Gu 001; Yue Zhang; Xiaodi Li; Daniel Dean; Xiaoxi Liu; Jingmin Xu; Hui Lei 001; Yaoping Ruan (BIBM, 2017)

Towards Reference Architecture for a Multi-layer Controlled Self-adaptive Microservice System. - Peini Liu; Xinjun Mao; Shuai Zhang 048; Fu Hou (SEKE, 2018)

A Self-Adaptation Framework of Microservice Systems (S). - Shuai Zhang 048; Xinjun Mao; Peini Liu; Fu Hou (SEKE, 2018)

Generalized Nash Equilibrium Model of the Service Provisioning Problem in Multi-Cloud Competitions. - Peini Liu; Xinjun Mao; Fu Hou; Shuai Zhang 048 (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2018)

Energy-Aware Dynamic Pricing Model for Cloud Environments. - Peini Liu; Gusseppe Bravo Rocca; Jordi Guitart (GECON, 2019)

A field-based service management and discovery method in multiple clouds context. - Shuai Zhang 048; Xinjun Mao; Fu Hou; Peini Liu (Frontiers Comput. Sci., 2019)

Scanflow: an end-to-end agent-based autonomic ML workflow manager for clusters. - Peini Liu; Gusseppe Bravo Rocca; Jordi Guitart; Ajay Dholakia; David Ellison; Miroslav Hodak (Middleware Demos/Posters, 2021)

Scanflow: A multi-graph framework for Machine Learning workflow management, supervision, and debugging. - Gusseppe Bravo Rocca; Peini Liu; Jordi Guitart; Ajay Dholakia; David Ellison; Jeffrey Falkanger; Miroslav Hodak (CoRR, 2021)

Performance comparison of multi-container deployment schemes for HPC workloads: an empirical study. - Peini Liu; Jordi Guitart (J. Supercomput., 2021)

Scanflow-K8s: Agent-based Framework for Autonomic Management and Supervision of ML Workflows in Kubernetes Clusters. - Peini Liu; Gusseppe Bravo Rocca; Jordi Guitart; Ajay Dholakia; David Ellison; Miroslav Hodak (CCGRID, 2022)

Human-in-the-loop online multi-agent approach to increase trustworthiness in ML models through trust scores and data augmentation. - Gusseppe Bravo Rocca; Peini Liu; Jordi Guitart; Ajay Dholakia; David Ellison; Miroslav Hodak (COMPSAC, 2022)

Fine-Grained Scheduling for Containerized HPC Workloads in Kubernetes Clusters. - Peini Liu; Jordi Guitart (HPCC/DSS/SmartCity/DependSys, 2022)

Performance characterization of containerization for HPC workloads on InfiniBand clusters: an empirical study. - Peini Liu; Jordi Guitart (Clust. Comput., 2022)

Scanflow: A multi-graph framework for Machine Learning workflow management, supervision, and debuggin. - Gusseppe Bravo Rocca; Peini Liu; Jordi Guitart; Ajay Dholakia; David Ellison; Jeffrey Falkanger; Miroslav Hodak (Expert Syst. Appl., 2022)

Performance Characterization of Multi-Container Deployment Schemes for Online Learning Inference. - Peini Liu; Jordi Guitart; Amir Taherkordi (CLOUD, 2023)

Data-Connector: An Agent-Based Framework for Autonomous ML-Based Smart Management in Cloud-Edge Continuum. - Peini Liu; Joan Oliveras Torra; Marc Palacín; Jordi Guitart; Josep Lluis Berral; Ramon Nou (ICNP, 2024)

TADIL: Task-Agnostic Domain-Incremental Learning Through Task-ID Inference Using Transformer Nearest-Centroid Embeddings. - Gusseppe Bravo Rocca; Peini Liu; Jordi Guitart; Ajay Dholakia; David Ellison (ICPR (29), 2024)

Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows. - Rafael Ferreira da Silva; Deborah Bard; Kyle Chard; Shaun De Witt; Ian T. Foster; Tom Gibbs; Carole A. Goble; William F. Godoy; Johan Gustafsson 001; Utz-Uwe Haus; Stephen Hudson; Shantenu Jha; et al. (CoRR, 2024)

Convergence of high performance computing, big data, and machine learning applications on containerized infrastructures - Peini Liu (2024)

Feature Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable ML Monitoring. - Gusseppe Bravo Rocca; Peini Liu; Jordi Guitart; Rodrigo M. Carrillo-Larco; Ajay Dholakia; David Ellison (AAMAS, 2025)

Experience Replay and Zero-Shot Clustering for Continual Learning in Diabetic Retinopathy Detection. - Gusseppe Bravo Rocca; Peini Liu; Jordi Guitart; Ajay Dholakia; David Ellison; Rodrigo M. Carrillo-Larco (VISIGRAPP (2): VISAPP, 2025)