3 papers
cs.LG2025
Evaluating Spatio-Temporal Forecasting Trade-offs Between Graph Neural Networks and Foundation Models
Ragini Gupta, Naman Raina, Bo Chen +5
Modern IoT deployments for environmental sensing produce high volume spatiotemporal data to support downstream tasks such as forecasting, typically powered by machine learning mode…
cs.PF2025
Revisiting Disaggregated Large Language Model Serving for Performance and Energy Implications
Jiaxi Li, Yue Zhu, Eun Kyung Lee +1
Different from traditional Large Language Model (LLM) serving that colocates the prefill and decode stages on the same GPU, disaggregated serving dedicates distinct GPUs to prefill…
cs.CV2025
EcoLens: Leveraging Multi-Objective Bayesian Optimization for Energy-Efficient Video Processing on Edge Devices
Benjamin Civjan, Bo Chen, Ruixiao Zhang +1
Video processing for real-time analytics in resource-constrained environments presents a significant challenge in balancing energy consumption and video semantics. This paper addre…