Zobrazeno 1 - 10
of 197
pro vyhledávání: '"He, Xiuqiang"'
Autor:
Li, Shiwei, Cheng, Yingyi, Wang, Haozhao, Tang, Xing, Xu, Shijie, Luo, Weihong, Li, Yuhua, Liu, Dugang, He, Xiuqiang, Li, and Ruixuan
Federated learning is a promising distributed training paradigm that effectively safeguards data privacy. However, it may involve significant communication costs, which hinders training efficiency. In this paper, we aim to enhance communication effic
Externí odkaz:
http://arxiv.org/abs/2408.03220
Autor:
Li, Shiwei, Xu, Wenchao, Wang, Haozhao, Tang, Xing, Qi, Yining, Xu, Shijie, Luo, Weihong, Li, Yuhua, He, Xiuqiang, Li, Ruixuan
Federated learning is a promising distributed machine learning paradigm that can effectively exploit large-scale data without exposing users' privacy. However, it may incur significant communication overhead, thereby potentially impairing the trainin
Externí odkaz:
http://arxiv.org/abs/2408.03215
Online marketing is critical for many industrial platforms and business applications, aiming to increase user engagement and platform revenue by identifying corresponding delivery-sensitive groups for specific incentives, such as coupons and bonuses.
Externí odkaz:
http://arxiv.org/abs/2406.00335
Autor:
He, Bowei, Weng, Yunpeng, Tang, Xing, Cui, Ziqiang, Sun, Zexu, Chen, Liang, He, Xiuqiang, Ma, Chen
Uplift modeling has been widely employed in online marketing by predicting the response difference between the treatment and control groups, so as to identify the sensitive individuals toward interventions like coupons or discounts. Compared with tra
Externí odkaz:
http://arxiv.org/abs/2405.15301
This article proposes a "cross-forming" control concept for grid-forming inverters operating against grid faults. Cross-forming refers to voltage angle forming and current magnitude forming. It differs from classical grid-forming and grid-following p
Externí odkaz:
http://arxiv.org/abs/2404.13376
Complex droop control, alternatively known as dispatchable virtual oscillator control (dVOC), stands out for its unique capabilities in synchronization and voltage stabilization among existing control strategies for grid-forming converters. Complex d
Externí odkaz:
http://arxiv.org/abs/2404.10071
Publikováno v:
Electric Power Systems Research, 2024
In this paper, we investigate the transient stability of a state-of-the-art grid-forming complex-droop control (i.e., dispatchable virtual oscillator control, dVOC) under current saturation. We quantify the saturation level of a converter by introduc
Externí odkaz:
http://arxiv.org/abs/2404.07682
As user behaviors become complicated on business platforms, online recommendations focus more on how to touch the core conversions, which are highly related to the interests of platforms. These core conversions are usually continuous targets, such as
Externí odkaz:
http://arxiv.org/abs/2403.17442
In this paper, we propose a systematic closed-loop approach to provide optimal dynamic ancillary services with converter-interfaced generation systems based on local power grid perception. In particular, we structurally encode dynamic ancillary servi
Externí odkaz:
http://arxiv.org/abs/2401.17793
Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks
Estimating the individual treatment effect (ITE) from observational data is a crucial research topic that holds significant value across multiple domains. How to identify hidden confounders poses a key challenge in ITE estimation. Recent studies have
Externí odkaz:
http://arxiv.org/abs/2401.06557