activity
20242026
most citedSusFL: Energy-Aware Federated Learning-based Monitoring for Sustainable Smart Farms

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

AGRI-Fidelity: Evaluating the Reliability of Listenable Explanations for Poultry Disease Detection

Sindhuja Madabushi, Arda Dogan, Jonathan Liu +5

Existing XAI metrics measure faithfulness for a single model, ignoring model multiplicity where near-optimal classifiers rely on different or spurious acoustic cues. In noisy farm…

cs.AI2026

X-MAP: eXplainable Misclassification Analysis and Profiling for Spam and Phishing Detection

Qi Zhang, Dian Chen, Lance M. Kaplan +4

Misclassifications in spam and phishing detection are very harmful, as false negatives expose users to attacks while false positives degrade trust. Existing uncertainty-based detec…

cs.LG2025

Sustainable Smart Farm Networks: Enhancing Resilience and Efficiency with Decision Theory-Guided Deep Reinforcement Learning

Dian Chen, Zelin Wan, Dong Sam Ha +1

Solar sensor-based monitoring systems have become a crucial agricultural innovation, advancing farm management and animal welfare through integrating sensor technology, Internet-of…

cs.SI2025

Beyond Binary Opinions: A Deep Reinforcement Learning-Based Approach to Uncertainty-Aware Competitive Influence Maximization

Qi Zhang, Dian Chen, Lance M. Kaplan +4

The Competitive Influence Maximization (CIM) problem involves multiple entities competing for influence in online social networks (OSNs). While Deep Reinforcement Learning (DRL) ha…

cs.LG2024★ 1 cited

SusFL: Energy-Aware Federated Learning-based Monitoring for Sustainable Smart Farms

Dian Chen, Paul Yang, Ing-Ray Chen +2

We propose a novel energy-aware federated learning (FL)-based system, namely SusFL, for sustainable smart farming to address the challenge of inconsistent health monitoring due to…