Ting Chen

发表

Hydrothermal treatment for inactivating some hygienic microbial indicators from food waste–amended animal feed

Huan Li, Yiying Jin, Ting Chen, 2012, Journal of the Air & Waste Management Association.

Inferring Multiple Metagenomic Association Networks based on Variation of Environmental Factors

Yuqing Yang, Ning Chen, Ting Chen, 2020, bioRxiv.

Deep Active Learning For Fibrosis Segmentation Of Chest CT Scans From Covid-19 Patients

Xiaohong Liu, Ting Chen, Kai Wang, 2021, 2021 IEEE International Conference on Image Processing (ICIP).

Chromatin accessibility prediction via convolutional long short-term memory networks with k-mer embedding

Ning Chen, Ting Chen, Wanwen Zeng, 2017, Bioinform..

Bone Age Assessment by Deep Convolutional Neural Networks Combined with Clinical TW3-RUS

Yiming Xu, Ting Chen, Xiaohong Liu, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Elastic restricted Boltzmann machines for cancer data analysis

Zhongjun Zhou, Chen Zhang, Muxuan Liang, 2017, Quantitative Biology.

Integrative Data Analysis of Multi-Platform Cancer Data with a Multimodal Deep Learning Approach

Ting Chen, Zhizhong Li, Jianyang Zeng, 2015, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Integrating embeddings of multiple gene networks to prioritize complex disease-associated genes

Yijia Zhang, Rui Jiang, Ting Chen, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Global inference of disease-causing single nucleotide variants from exome sequencing data

R. Jiang, Mengmeng Wu, Ting Chen, 2016, BMC Bioinformatics.

Whole genome sequencing and its applications in medical genetics

Rui Jiang, Ting Chen, Mengmeng Wu, 2016, Quantitative Biology.

Reading the Underlying Information From Massive Metagenomic Sequencing Data

Xuegong Zhang, Hongfei Cui, Shansong Liu, 2017, Proceedings of the IEEE.

kLDM: Inferring Multiple Metagenomic Association Networks Based on the Variation of Environmental Factors

Yuqing Yang, Ning Chen, Ting Chen, 2021, Genom. Proteom. Bioinform..

DeepShape: estimating isoform-level ribosome abundance and distribution with Ribo-seq data

Jianyang Zeng, Hongfei Cui, Ting Chen, 2019, BMC Bioinformatics.

Chromatin accessibility prediction via convolutional long short-term memory networks with k-mer embedding

Ning Chen, Xu Min, Rui Jiang, 2017, Bioinform..

Social Influence Locality for Modeling Retweeting Behaviors

Juan-Zi Li, Ting Chen, Jie Tang, 2013, IJCAI.

A hybrid fuzzy evaluation method for safety assessment of food-waste feed based on entropy and the analytic hierarchy process methods

Xin Chen, Ting Chen, Yiying Jin, 2014, Expert Syst. Appl..

Ontology-based venous thromboembolism risk assessment model developing from medical records

Xin Wang, Yu Huang, Yuqing Yang, 2019, BMC Medical Informatics and Decision Making.

Ontology-based Venous Thromboembolism Risk Factors Mining and Model Developing from Medical Records

Yu Huang, Xin Wang, Ning Chen, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

DeepEnhancer: Predicting enhancers by convolutional neural networks

Ning Chen, Xu Min, Rui Jiang, 2016, 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

mLDM: a new hierarchical Bayesian statistical model for sparse microbioal association discovery

Yuqing Yang, Ting Chen, Ning Chen, 2016, bioRxiv.

Predicting enhancers with deep convolutional neural networks

R. Jiang, Ning Chen, Wanwen Zeng, 2017, BMC Bioinformatics.

KISEG: A Three-Stage Segmentation Framework for Multi-level Acceleration of Chest CT Scans from COVID-19 Patients

Kang Zhang, Ke Wang, Kai Wang, 2020, MICCAI.

Combo-Action: Training Agent For FPS Game with Auxiliary Tasks

Ting Chen, Jun Zhu, Hang Su, 2019, AAAI.

Dropout training for SVMs with data augmentation

Ning Chen, Ting Chen, Jun Zhu, 2015, Frontiers of Computer Science.

DCMN: Double Core Memory Network for Patient Outcome Prediction with Multimodal Data

Fei Wang, Bin Yu, Ting Chen, 2019, 2019 IEEE International Conference on Data Mining (ICDM).

DeepTriager: A Neural Attention Model for Emergency Triage with Electronic Health Records

Ting Chen, Xiaohong Liu, Ning Chen, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Predicting enhancers with deep convolutional neural networks

Ning Chen, Xu Min, Rui Jiang, 2017, BMC Bioinformatics.

Joint Medical Ontology Representation Learning for Healthcare Predictions

Ke Wang, Ting Chen, Ning Chen, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Global inference of disease-causing single nucleotide variants from exome sequencing data

Rui Jiang, Ting Chen, Mengmeng Wu, 2016, BMC Bioinformatics.

Computer-aided Diagnosis of Ambulatory Electrocardiograms via ASRS: Active-Selection-Random-Selection

Ning Chen, Ting Chen, Xuan Zhang, 2019, 2019 IEEE International Conference on Healthcare Informatics (ICHI).