4 citations · 4 across the 4 of their papers we have counts for
5 papers
Toward Quantum Software Automation: A Quantum-Aware Harness for LLM-Guided Evolution
Lily Jiaxin Wan, Deming Chen, Klara Nahrstedt +1
Quantum software is critical for improving the efficiency and reliability of scarce quantum hardware. However, its design still relies heavily on ad-hoc, handcrafted heuristics tha…
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…
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…
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…
DeepStream: Bandwidth Efficient Multi-Camera Video Streaming for Deep Learning Analytics
Hongpeng Guo, Beitong Tian, Zhe Yang +5
Deep learning video analytic systems process live video feeds from multiple cameras with computer vision models deployed on edge or cloud. To optimize utility for these systems, wh…