Search Results for author: Zhen Chen

Found 14 papers, 4 papers with code

Robust Modeling of Unknown Dynamical Systems via Ensemble Averaged Learning

no code implementations7 Mar 2022 Victor Churchill, Steve Manns, Zhen Chen, Dongbin Xiu

In the proposed ensemble averaging method, multiple models are independently trained and model predictions are averaged at each time step.

Stochastic Optimization

Exploring Gradient Flow Based Saliency for DNN Model Compression

1 code implementation24 Oct 2021 Xinyu Liu, Baopu Li, Zhen Chen, Yixuan Yuan

Model pruning aims to reduce the deep neural network (DNN) model size or computational overhead.

Image Classification Image Denoising +1

Personalized Retrogress-Resilient Framework for Real-World Medical Federated Learning

1 code implementation1 Oct 2021 Zhen Chen, Meilu Zhu, Chen Yang, Yixuan Yuan

To address this problem, we propose a personalized retrogress-resilient framework to produce a superior personalized model for each client.

Federated Learning

Deep Neural Network Modeling of Unknown Partial Differential Equations in Nodal Space

no code implementations7 Jun 2021 Zhen Chen, Victor Churchill, Kailiang Wu, Dongbin Xiu

Consequently, a trained DNN defines a predictive model for the underlying unknown PDE over structureless grids.

Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising

2 code implementations18 May 2021 Dongbo Xi, Zhen Chen, Peng Yan, Yinger Zhang, Yongchun Zhu, Fuzhen Zhuang, Yu Chen

While considerable multi-task efforts have been made in this direction, a long-standing challenge is how to explicitly model the long-path sequential dependence among audience multi-step conversions for improving the end-to-end conversion.

Multi-Task Learning

Socially-Aware Conference Participant Recommendation with Personality Traits

no code implementations9 Aug 2020 Feng Xia, Nana Yaw Asabere, Haifeng Liu, Zhen Chen, Wei Wang

As a result of the importance of academic collaboration at smart conferences, various researchers have utilized recommender systems to generate effective recommendations for participants.

Recommendation Systems

Data-driven learning of non-autonomous systems

no code implementations2 Jun 2020 Tong Qin, Zhen Chen, John Jakeman, Dongbin Xiu

To circumvent the difficulty presented by the non-autonomous nature of the system, our method transforms the solution state into piecewise integration of the system over a discrete set of time instances.

Overcoming information reduced data and experimentally uncertain parameters in ptychography with regularized optimization

no code implementations4 May 2020 Marcel Schloz, Thomas C. Pekin, Zhen Chen, Wouter Van den Broek, David A. Muller, Christoph T. Koch

The overdetermination of the mathematical problem underlying ptychography is reduced by a host of experimentally more desirable settings.

Methods to Recover Unknown Processes in Partial Differential Equations Using Data

no code implementations5 Mar 2020 Zhen Chen, Kailiang Wu, Dongbin Xiu

Various numerical examples are then presented to demonstrate the performance and properties of the numerical methods.

On generalized residue network for deep learning of unknown dynamical systems

no code implementations23 Jan 2020 Zhen Chen, Dongbin Xiu

When an existing coarse model is not available, we present numerical strategies for fast creation of coarse models, to be used in conjunction with the generalized ResNet.

Complementary Network with Adaptive Receptive Fields for Melanoma Segmentation

1 code implementation12 Jan 2020 Xiaoqing Guo, Zhen Chen, Yixuan Yuan

To tackle these issues, we propose a novel complementary network with adaptive receptive filed learning.

Lesion Segmentation Skin Lesion Segmentation

Parameterized Synthetic Image Data Set for Fisheye Lens

no code implementations12 Nov 2018 Zhen Chen, Anthimos Georgiadis

Based on different projection geometry, a fisheye image can be presented as a parameterized non-rectilinear image.

Deep Learning Framework for Multi-class Breast Cancer Histology Image Classification

no code implementations3 Feb 2018 Yeeleng S. Vang, Zhen Chen, Xiaohui Xie

In this work, we present a deep learning framework for multi-class breast cancer image classification as our submission to the International Conference on Image Analysis and Recognition (ICIAR) 2018 Grand Challenge on BreAst Cancer Histology images (BACH).

Breast Cancer Histology Image Classification General Classification +1

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