TemporalPaD: a reinforcement-learning framework for temporal feature representation and dimension reduction

no code implementations • 27 Sep 2024 • Xuechen Mu, Zhenyu Huang, Kewei Li, Haotian Zhang, Xiuli Wang, Yusi Fan, Kai Zhang, Fengfeng Zhou

The Policy Module, responsible for dimensionality reduction through RL, functions as the actor, while the Representation Module for feature extraction and the Classification Module collectively serve as the critic.

Dimensionality Reduction Reinforcement Learning (RL)

Hierarchical Federated Learning Incentivization for Gas Usage Estimation

no code implementations • 1 Jul 2023 • Has Sun, Xiaoli Tang, Chengyi Yang, Zhenpeng Yu, Xiuli Wang, Qijie Ding, Zengxiang Li, Han Yu

Federated learning (FL) offers a solution to this problem by enabling local data processing on each participant, such as gas companies and heating stations.

Fairness Federated Learning

Design and Commissioning of the PandaX-4T Cryogenic Distillation System for Krypton and Radon Removal

no code implementations • 4 Dec 2020 • Xiangyi Cui, Zhou Wang, Yonglin Ju, Xiuli Wang, Huaxuan Liu, Wenbo Ma, Jianglai Liu, Li Zhao, Xiangdong Ji, Shuaijie Li, Rui Yan, Haidong Sha, Peiyao Huang

An online cryogenic distillation system for the removal of krypton and radon from xenon was designed and constructed for PandaX-4T, a highly sensitive dark matter detection experiment.

Instrumentation and Detectors High Energy Physics - Experiment

Zipf's Law and the Frequency of Characters or Words of Oracles

no code implementations • 9 Dec 2014 • Xiuli Wang

The article discusses the frequency of characters of Oracle, concluding that the frequency and the rank of a word or character is fit to Zipf-Mandelboit Law or Zipf's law with three parameters, and figuring out the parameters based on the frequency, and pointing out that what some researchers of Oracle call the assembling on the two ends is just a description by their impression about the Oracle data.