Jin Li

According to our database, Jin Li authored at least 7 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Resilient Class-Incremental Learning: on the Interplay of Drifting, Unlabelled and Imbalanced Data Streams.

Jin Li, Kleanthis Malialis, Marios M. Polycarpou

CoRR, February, 2026

Drift-aware variational autoencoder-based anomaly detection with two-level ensembling.

Jin Li, Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou

Neurocomputing, 2026

2025

Online Detection of Water Contamination Under Concept Drift.

Jin Li, Kleanthis Malialis, Stelios G. Vrachimis, Marios M. Polycarpou

CoRR, January, 2025

Unsupervised Online Detection of Pipe Blockages and Leakages in Water Distribution Networks.

Jin Li, Kleanthis Malialis, Stelios G. Vrachimis, Marios M. Polycarpou

Proceedings of the 6th International Conference on Control and Fault-Tolerant Systems, 2025

2024

Incremental Learning with Concept Drift Detection and Prototype-based Embeddings for Graph Stream Classification.

Kleanthis Malialis, Jin Li, Christos G. Panayiotou, Marios M. Polycarpou

Proceedings of the International Joint Conference on Neural Networks, 2024

Unsupervised Incremental Learning with Dual Concept Drift Detection for Identifying Anomalous Sequences.

Jin Li, Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Autoencoder-based Anomaly Detection in Streaming Data with Incremental Learning and Concept Drift Adaptation.

Jin Li, Kleanthis Malialis, Marios M. Polycarpou

Proceedings of the International Joint Conference on Neural Networks, 2023