Ting Chen

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 20

Top Topics

Fusion Strategies

Ultrasound Images

Hierarchical Bayesian

Protein Function

Top Venues

Briefings Bioinform.

Publications

Wentse Chen, Shiyu Huang, Yuan Chiang, Tim Pearce, Wei-Wei Tu, Ting Chen, Jun Zhu
DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization. AAAI (2024)
Yiming Xu, Bowen Zheng, Xiaohong Liu, Tao Wu, Jinxiu Ju, Shi-jie Wang, Yufan Lian, Hongjun Zhang, Tong Liang, Ye Sang, Rui Jiang, Guangyu Wang, Jie Ren, Ting Chen
Improving artificial intelligence pipeline for liver malignancy diagnosis using ultrasound images and video frames. Briefings Bioinform. 24 (1) (2023)
Shuyu Liu, Ting Chen, Tiantian Zhao, Shanshan Liu, Chao Ma
Research on cooperative UAV countermeasure strategy based on interception triangle. ICMLCA (2023)
Wenkai Li, Wenbo Hu, Ting Chen, Ning Chen, Cheng Feng
StackVAE-G: An efficient and interpretable model for time series anomaly detection. AI Open 3 (2022)
Yiming Xu, Xiaohong Liu, Liyan Pan, Xiaojian Mao, Huiying Liang, Guangyu Wang, Ting Chen
Explainable Dynamic Multimodal Variational Autoencoder for the Prediction of Patients With Suspected Central Precocious Puberty. IEEE J. Biomed. Health Informatics 26 (3) (2022)
Yuqing Yang, Xin Wang, Kaikun Xie, Congmin Zhu, Ning Chen, Ting Chen
kLDM: Inferring Multiple Metagenomic Association Networks Based on the Variation of Environmental Factors. Genom. Proteom. Bioinform. 19 (5) (2021)
Xiaohong Liu, Kai Wang, Ke Wang, Ting Chen, Kang Zhang, Guangyu Wang
KISEG: A Three-Stage Segmentation Framework for Multi-level Acceleration of Chest CT Scans from COVID-19 Patients. MICCAI (4) (2020)
Ke Wang, Xiaohong Liu, Kang Zhang, Ting Chen, Guangyu Wang
Anterior Segment Eye Lesion Segmentation with Advanced Fusion Strategies and Auxiliary Tasks. MICCAI (5) (2020)
Guangyu Wang, Xiaohong Liu, Ken Xie, Ning Chen, Ting Chen
DeepTriager: A Neural Attention Model for Emergency Triage with Electronic Health Records. BIBM (2019)
Yang Young Lu, Ting Chen, Jed A. Fuhrman, Fengzhu Sun
COCACOLA: binning metagenomic contigs using sequence COmposition, read CoverAge, CO-alignment and paired-end read LinkAge. Bioinform. 33 (6) (2017)
Xu Min, Wanwen Zeng, Shengquan Chen, Ning Chen, Ting Chen, Rui Jiang
Predicting enhancers with deep convolutional neural networks. BMC Bioinform. 18 (S-13) (2017)
Mengmeng Wu, Wanwen Zeng, Wenqiang Liu, Yijia Zhang, Ting Chen, Rui Jiang
Integrating embeddings of multiple gene networks to prioritize complex disease-associated genes. BIBM (2017)
Xuegong Zhang, Shansong Liu, Hongfei Cui, Ting Chen
Reading the Underlying Information From Massive Metagenomic Sequencing Data. Proc. IEEE 105 (3) (2017)
Xu Min, Wanwen Zeng, Ning Chen, Ting Chen, Rui Jiang
Chromatin accessibility prediction via convolutional long short-term memory networks with k-mer embedding. Bioinform. 33 (14) (2017)
Yujuan Feng, Xu Min, Ning Chen, Hu Chen, Xiaolei Xie, Haibo Wang, Ting Chen
Patient outcome prediction via convolutional neural networks based on multi-granularity medical concept embedding. BIBM (2017)
Linhao Jiang, Yichao Dong, Ning Chen, Ting Chen
DACE: a scalable DP-means algorithm for clustering extremely large sequence data. Bioinform. 33 (6) (2017)
Mengmeng Wu, Ting Chen, Rui Jiang
Global inference of disease-causing single nucleotide variants from exome sequencing data. BMC Bioinform. 17 (S-17) (2016)
Yuqing Yang, Ning Chen, Ting Chen
mLDM: A New Hierarchical Bayesian Statistical Model for Sparse Microbial Association Discovery. RECOMB (2016)
Jiaxin Wu, Mengmeng Wu, Ting Chen, Rui Jiang
Whole genome sequencing and its applications in medical genetics. Quant. Biol. 4 (2) (2016)
Xu Min, Ning Chen, Ting Chen, Rui Jiang
DeepEnhancer: Predicting enhancers by convolutional neural networks. BIBM (2016)
Xiaotu Ma, Ting Chen, Fengzhu Sun
Integrative approaches for predicting protein function and prioritizing genes for complex phenotypes using protein interaction networks. Briefings Bioinform. 15 (5) (2014)
Ting Chen, Paul Marjoram, Fengzhu Sun, Xianghong Jasmine Zhou
Preface: Special Issue. J. Comput. Biol. 19 (6) (2012)
Ting Chen, Rui Jiang, Fengzhu Sun
Bayesian Models and Gibbs Sampling Strategies for Local Graph Alignment and Motif Identification in Stochastic Biological Networks. Commun. Inf. Syst. 9 (4) (2009)
Zhidong Tu, Li Wang, Michelle N. Arbeitman, Ting Chen, Fengzhu Sun
An integrative approach for causal gene identification and gene regulatory pathway inference. ISMB (Supplement of Bioinformatics) (2006)
Rui Jiang, Hua Yang, Fengzhu Sun, Ting Chen
Searching for interpretable rules for disease mutations: a simulated annealing bump hunting strategy. BMC Bioinform. 7 (2006)
Hyunju Lee, Minghua Deng, Fengzhu Sun, Ting Chen
An integrated approach to the prediction of domain-domain interactions. BMC Bioinform. 7 (2006)
Kui Zhang, Zhaohui S. Qin, Ting Chen, Jun S. Liu, Michael S. Waterman, Fengzhu Sun
HapBlock: haplotype block partitioning and tag SNP selection software using a set of dynamic programming algorithms. Bioinform. 21 (1) (2005)
Yao-Ting Huang, Kun-Mao Chao, Ting Chen
An Approximation Algorithm for Haplotype Inference by Maximum Parsimony. J. Comput. Biol. 12 (10) (2005)
Yao-Ting Huang, Kun-Mao Chao, Ting Chen
An approximation algorithm for haplotype inference by maximum parsimony. SAC (2005)
Yao-Ting Huang, Kui Zhang, Ting Chen, Kun-Mao Chao
Selecting additional tag SNPs for tolerating missing data in genotyping. BMC Bioinform. 6 (2005)
Minghua Deng, Zhidong Tu, Fengzhu Sun, Ting Chen
Mapping gene ontology to proteins based on protein-protein interaction data. Bioinform. 20 (6) (2004)
Minghua Deng, Ting Chen, Fengzhu Sun
An Integrated Probabilistic Model for Functional Prediction of Proteins. J. Comput. Biol. 11 (2/3) (2004)
Yao-Ting Huang, Kui Zhang, Ting Chen, Kun-Mao Chao
Approximation Algorithms for the Selection of Robust Tag SNPs. WABI (2004)
Minghua Deng, Ting Chen, Fengzhu Sun
An integrated probabilistic model for functional prediction of proteins. RECOMB (2003)
Minghua Deng, Fengzhu Sun, Ting Chen
Assessment of the reliability of protein-protein interactions and protein function prediction. Pacific Symposium on Biocomputing (2003)
Kui Zhang, Fengzhu Sun, Michael S. Waterman, Ting Chen
Dynamic programming algorithms for haplotype block partitioning: applications to human chromosome 21 haplotype data. RECOMB (2003)
Minghua Deng, Kui Zhang, Shipra Mehta, Ting Chen, Fengzhu Sun
Prediction of Protein Function Using Protein-Protein Interaction Data. J. Comput. Biol. 10 (6) (2003)
Kui Zhang, Ting Chen, Michael S. Waterman, Zhaohui S. Qin, Jun S. Liu, Fengzhu Sun
Dynamic Programming Algorithms for Haplotype Block Partitioning and Tag SNP Selection Using Haplotype Data or Genotype Data. Computational Methods for SNPs and Haplotype Inference (2002)
Minghua Deng, Shipra Mehta, Fengzhu Sun, Ting Chen
Inferring domain-domain interactions from protein-protein interactions. RECOMB (2002)
Minghua Deng, Kui Zhang, Shipra Mehta, Ting Chen, Fengzhu Sun
Prediction of Protein Function Using Protein-Protein Interaction Data. CSB (2002)