152 citations · 181 across the 14 of their papers we have counts for
3 papers · 1 filter
AGO: Boosting Mobile AI Inference Performance by Removing Constraints on Graph Optimization
Zhiying Xu, Hongding Peng, Wei Wang
Traditional deep learning compilers rely on heuristics for subgraph generation, which impose extra constraints on graph optimization, e.g., each subgraph can only contain at most o…
Wasserstein Adversarial Transformer for Cloud Workload Prediction
Shivani Arbat, Vinodh Kumaran Jayakumar, Jaewoo Lee +2
Predictive Virtual Machine (VM) auto-scaling is a promising technique to optimize cloud applications operating costs and performance. Understanding the job arrival rate is crucial…
Machine Learning-Driven Virtual Bidding with Electricity Market Efficiency Analysis
Yinglun Li, Nanpeng Yu, Wei Wang
This paper develops a machine learning-driven portfolio optimization framework for virtual bidding in electricity markets considering both risk constraint and price sensitivity. Th…