Search Results for author: Houping Xiao

Found 7 papers, 1 papers with code

MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation

no code implementations4 Oct 2023 Yuan Zhong, Suhan Cui, Jiaqi Wang, Xiaochen Wang, Ziyi Yin, Yaqing Wang, Houping Xiao, Mengdi Huai, Ting Wang, Fenglong Ma

Health risk prediction is one of the fundamental tasks under predictive modeling in the medical domain, which aims to forecast the potential health risks that patients may face in the future using their historical Electronic Health Records (EHR).

Data Augmentation

FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning

no code implementations12 Sep 2021 Liwei Che, Zewei Long, Jiaqi Wang, Yaqing Wang, Houping Xiao, Fenglong Ma

In particular, we propose to use three networks and a dynamic quality control mechanism to generate high-quality pseudo labels for unlabeled data, which are added to the training set.

Federated Learning

FedCon: A Contrastive Framework for Federated Semi-Supervised Learning

no code implementations9 Sep 2021 Zewei Long, Jiaqi Wang, Yaqing Wang, Houping Xiao, Fenglong Ma

Most existing FedSSL methods focus on the classical scenario, i. e, the labeled and unlabeled data are stored at the client side.

FedSiam: Towards Adaptive Federated Semi-Supervised Learning

no code implementations6 Dec 2020 Zewei Long, Liwei Che, Yaqing Wang, Muchao Ye, Junyu Luo, Jinze Wu, Houping Xiao, Fenglong Ma

In this paper, we focus on designing a general framework FedSiam to tackle different scenarios of federated semi-supervised learning, including four settings in the labels-at-client scenario and two setting in the labels-at-server scenario.

Federated Learning

Towards Differentially Private Truth Discovery for Crowd Sensing Systems

no code implementations10 Oct 2018 Yaliang Li, Houping Xiao, Zhan Qin, Chenglin Miao, Lu Su, Jing Gao, Kui Ren, Bolin Ding

To better utilize sensory data, the problem of truth discovery, whose goal is to estimate user quality and infer reliable aggregated results through quality-aware data aggregation, has emerged as a hot topic.

Privacy Preserving

Developing Synthesis Flows Without Human Knowledge

2 code implementations16 Apr 2018 Cunxi Yu, Houping Xiao, Giovanni De Micheli

Design flows are the explicit combinations of design transformations, primarily involved in synthesis, placement and routing processes, to accomplish the design of Integrated Circuits (ICs) and System-on-Chip (SoC).

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