activity
20202026
most citedGraph neural network-based lithium-ion battery state of health estimation using partial discharging curve

52 citations · 111 across the 12 of their papers we have counts for

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11 papers · 1 filter

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.LG20252 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.LG20258 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.LG202435 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.LG20227 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…

cs.LG2022

A Hybrid Deep Learning Model-based Remaining Useful Life Estimation for Reed Relay with Degradation Pattern Clustering

Chinthaka Gamanayake, Yan Qin, Chau Yuen +3

Reed relay serves as the fundamental component of functional testing, which closely relates to the successful quality inspection of electronics. To provide accurate remaining usefu…