no code implementations • 8 Jan 2024 • Qian Gao, Yanling Hao, Yuanwei Liu
AutoSen establishes a direct link between amplitude and phase through automated cross-modal autoencoder learning.
no code implementations • 28 Nov 2023 • Qian Gao, G. Gurdeniz, Giulia Pratico, Camilla T. Damsgaard, Eduvigis Roldan-Marin, M. Pilar Cano, Concepcion Sanchez-Moreno, Lars O. Dragsted
Scope: Biomarkers of food intake (BFIs) are useful tools for objective assessment of food intake and compliance.
1 code implementation • 2 Jan 2023 • Kun Zhao, Qian Gao, Siyuan Hao, Jie Sun, Lijian Zhou
Based on this uncertainty, a novel decision-level fusion strategy is proposed to ensure that the view with lower risk obtains more weight, making the classification more credible.
1 code implementation • 3 Jun 2021 • Hao liu, Qian Gao, Jiang Li, Xiaochao Liao, Hao Xiong, Guangxing Chen, Wenlin Wang, Guobao Yang, Zhiwei Zha, daxiang dong, Dejing Dou, Haoyi Xiong
In this work, we present JIZHI - a Model-as-a-Service system - that per second handles hundreds of millions of online inference requests to huge deep models with more than trillions of sparse parameters, for over twenty real-time recommendation services at Baidu, Inc.
no code implementations • 31 May 2020 • Xingyu Lei, Zhifang Yang, Juan Yu, Junbo Zhao, Qian Gao, Hongxin Yu
This paper proposes a data-driven approach for optimal power flow (OPF) based on the stacked extreme learning machine (SELM) framework.
BIG-bench Machine Learning Physics-informed machine learning