2 citations · 2 across the 5 of their papers we have counts for
6 papers
Near-Optimal Consistency-Robustness Bounds for Non-Clairvoyant Scheduling
Sizhe Li, Nicolas Christianson, Tongxin Li
We study the problem of characterizing the optimal consistency--robustness tradeoff for single-machine non-clairvoyant scheduling with predicted processing times. For a fixed numbe…
Prediction-Specific Design of Learning-Augmented Algorithms
Sizhe Li, Nicolas Christianson, Tongxin Li
Algorithms with predictions} has emerged as a powerful framework to combine the robustness of traditional online algorithms with the data-driven performance benefits of machine-lea…
Robust Learning Based Condition Diagnosis Method for Distribution Network Switchgear
Wenxi Zhang, Zhe Li, Weixi Li +3
This paper introduces a robust, learning-based method for diagnosing the state of distribution network switchgear, which is crucial for maintaining the power quality for end users.…
Dynamic Fault Characteristics Evaluation in Power Grid
Hao Pei, Si Lin, Chuanfu Li +3
To enhance the intelligence degree in operation and maintenance, a novel method for fault detection in power grids is proposed. The proposed GNN-based approach first identifies fau…
Dynamic Fault Analysis in Substations Based on Knowledge Graphs
Weiwei Li, Xing Liu, Wei Wang +3
To address the challenge of identifying hidden danger in substations from unstructured text, a novel dynamic analysis method is proposed. We first extract relevant information from…
Knowledge Graph Construction in Power Distribution Networks
Xiang Li, Che Wang, Bing Li +2
In this paper, we propose a method for knowledge graph construction in power distribution networks. This method leverages entity features, which involve their semantic, phonetic, a…