Search Results for author: Chang Lu

Found 9 papers, 4 papers with code

KinD-LCE Curve Estimation And Retinex Fusion On Low-Light Image

no code implementations19 Jul 2022 Xiaochun Lei, Weiliang Mai, Junlin Xie, He Liu, Zetao Jiang, Zhaoting Gong, Chang Lu, Linjun Lu

The proposed method, KinD-LCE, uses a light curve estimation module to enhance the illumination map in the Retinex decomposed image, improving the overall image brightness.

Instance Segmentation object-detection +4

STDC-MA Network for Semantic Segmentation

no code implementations10 May 2022 Xiaochun Lei, Linjun Lu, Zetao Jiang, Zhaoting Gong, Chang Lu, Jiaming Liang

Through this relationship, regions receiving much attention are integrated into the segmentation results, thereby reducing the unfocused regions of the input image and improving the effective utilization of multiscale features.

Autonomous Driving Segmentation +1

Multi-Label Clinical Time-Series Generation via Conditional GAN

1 code implementation10 Apr 2022 Chang Lu, Chandan K. Reddy, Ping Wang, Dong Nie, Yue Ning

In this work, we propose a Multi-label Time-series GAN (MTGAN) to generate EHR and simultaneously improve the quality of uncommon disease generation.

Representation Learning Time Series +2

Context-aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs

1 code implementation9 Dec 2021 Chang Lu, Tian Han, Yue Ning

We further define three diagnosis roles in each visit based on the variation of node properties to model disease transition processes.

Self-Supervised Graph Learning with Hyperbolic Embedding for Temporal Health Event Prediction

1 code implementation9 Jun 2021 Chang Lu, Chandan K. Reddy, Yue Ning

Electronic Health Records (EHR) have been heavily used in modern healthcare systems for recording patients' admission information to hospitals.

Graph Learning Self-Supervised Learning

Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare

1 code implementation16 May 2021 Chang Lu, Chandan K. Reddy, Prithwish Chakraborty, Samantha Kleinberg, Yue Ning

Accurate and explainable health event predictions are becoming crucial for healthcare providers to develop care plans for patients.

Graph Learning

An Immune-related lncRNAs Model for Prognostic of SKCM Patients Base on Cox Regression and Coexpression Analysis

no code implementations17 Jun 2020 Wenjie Jiang, Chang Lu, Jing Qu, Xiaoyu Mei

We constructed a 4-lncRNA model to predict the prognosis of patients with SKCM, indicating that these lncRNAs may play a unique role in the carcinogenesis of SKCM.

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