Search Results for author: Xingyi Yang

Found 14 papers, 9 papers with code

Learning with Recoverable Forgetting

no code implementations17 Jul 2022 Jingwen Ye, Yifang Fu, Jie Song, Xingyi Yang, Songhua Liu, Xin Jin, Mingli Song, Xinchao Wang

Life-long learning aims at learning a sequence of tasks without forgetting the previously acquired knowledge.

General Knowledge Transfer Learning

Factorizing Knowledge in Neural Networks

1 code implementation4 Jul 2022 Xingyi Yang, Jingwen Ye, Xinchao Wang

The core idea of KF lies in the modularization and assemblability of knowledge: given a pretrained network model as input, KF aims to decompose it into several factor networks, each of which handles only a dedicated task and maintains task-specific knowledge factorized from the source network.

Disentanglement Transfer Learning

Neural Point Process for Learning Spatiotemporal Event Dynamics

1 code implementation12 Dec 2021 ZiHao Zhou, Xingyi Yang, Ryan Rossi, Handong Zhao, Rose Yu

The key construction of our approach is the nonparametric space-time intensity function, governed by a latent process.

Point Processes Variational Inference

Neural Point Process for Forecasting Spatiotemporal Events

no code implementations1 Jan 2021 ZiHao Zhou, Xingyi Yang, Xinyi He, Ryan Rossi, Handong Zhao, Rose Yu

To the best of our knowledge, this is the first neural point process model that can jointly predict both the space and time of events.

Density Estimation Point Processes

Stochastic Gradient Variance Reduction by Solving a Filtering Problem

1 code implementation22 Dec 2020 Xingyi Yang

Deep neural networks (DNN) are typically optimized using stochastic gradient descent (SGD).

Stochastic Optimization

DSRNA: Differentiable Search of Robust Neural Architectures

no code implementations CVPR 2021 Ramtin Hosseini, Xingyi Yang, Pengtao Xie

To address this problem, we propose methods to perform differentiable search of robust neural architectures.

XRayGAN: Consistency-preserving Generation of X-ray Images from Radiology Reports

1 code implementation17 Jun 2020 Xingyi Yang, Nandiraju Gireesh, Eric Xing, Pengtao Xie

To address this problem, we develop methods to generate view-consistent, high-fidelity, and high-resolution X-ray images from radiology reports to facilitate radiology training of medical students.

COVID-CT-Dataset: A CT Scan Dataset about COVID-19

19 code implementations30 Mar 2020 Xingyi Yang, Xuehai He, Jinyu Zhao, Yichen Zhang, Shanghang Zhang, Pengtao Xie

Using this dataset, we develop diagnosis methods based on multi-task learning and self-supervised learning, that achieve an F1 of 0. 90, an AUC of 0. 98, and an accuracy of 0. 89.

Computed Tomography (CT) COVID-19 Diagnosis +2

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