activity
20222026
most citedA Federated Learning-based Industrial Health Prognostics for Heterogeneous Edge Devices using Matched Feature Extraction

73 citations · 125 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2026

RobustMAD: Evaluating Real-World Robustness of Multimodal Small Language Models for Deployable Anomaly Detection Assistants

Anushiya Arunan, Xin Li, Yan Qin +4

Multimodal industrial anomaly inspection assistants are a critical component of next-generation smart factories, enabling interactive vision-language-based querying. However, multi…

cs.LG2025★ 2 cited

Learning More with Less: A Generalizable, Self-Supervised Framework for Privacy-Preserving Capacity Estimation with EV Charging Data

Anushiya Arunan, Yan Qin, Xiaoli Li +3

Accurate battery capacity estimation is key to alleviating consumer concerns about battery performance and reliability of electric vehicles (EVs). However, practical data limitatio…

cs.LG2025★ 8 cited

Intelligently Augmented Contrastive Tensor Factorization: Empowering Multi-dimensional Time Series Classification in Low-Data Environments

Anushiya Arunan, Yan Qin, Xiaoli Li +1

Classification of multi-dimensional time series from real-world systems require fine-grained learning of complex features such as cross-dimensional dependencies and intra-class var…

cs.LG2024★ 35 cited

A Change Point Detection Integrated Remaining Useful Life Estimation Model under Variable Operating Conditions

Anushiya Arunan, Yan Qin, Xiaoli Li +1

By informing the onset of the degradation process, health status evaluation serves as a significant preliminary step for reliable remaining useful life (RUL) estimation of complex…

cs.LG2023★ 73 cited

A Federated Learning-based Industrial Health Prognostics for Heterogeneous Edge Devices using Matched Feature Extraction

Anushiya Arunan, Yan Qin, Xiaoli Li +1

Data-driven industrial health prognostics require rich training data to develop accurate and reliable predictive models. However, stringent data privacy laws and the abundance of e…

cs.LG2022★ 7 cited

Digital Twin for Real-time Li-ion Battery State of Health Estimation with Partially Discharged Cycling Data

Yan Qin, Anushiya Arunan, Chau Yuen

To meet the fairly high safety and reliability requirements in practice, the state of health (SOH) estimation of Lithium-ion batteries (LIBs), which has a close relationship with t…