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Ting Chen 0006
Person information
- affiliation: Tsinghua University, Beijing, China
- affiliation (former): University of Southern California, CA, USA
- affiliation (former): Stony Brook University, NY, USA
Other persons with the same name
- Ting Chen — disambiguation page
- Ting Chen 0001
— NYU Langone Health, Department of Radiation Oncology, NY, USA (and 3 more)
- Ting Chen 0002
— University of Electronic Science and Technology of China, School of Computer Science and Engineering, Chengdu, China
- Ting Chen 0003
— Chang'an University, School of Information Engineering, Xi'an, China (and 2 more)
- Ting Chen 0004
— Vrije Universiteit Brussels, Department Electronics and Informatics, AVSP Lab, Belgium (and 1 more)
- Ting Chen 0005
— Autonomous University of Barcelona, Department of Mathematics, Spain (and 1 more)
- Ting Chen 0007 — Google Brain (and 2 more)
- Ting Chen 0008 (aka: Ting Brendan Chen) — University of Western Brittany, Brest, France
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2020 – today
- 2024
- [c34]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: 11390-11398 - 2023
- [j31]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) - [c33]Wenze Chen, Shiyu Huang, Yuan Chiang, Ting Chen, Jun Zhu:
DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization. AAMAS 2023: 2634-2636 - [c32]Shuyu Liu
, Ting Chen
, Tiantian Zhao
, Shanshan Liu
, Chao Ma
:
Research on cooperative UAV countermeasure strategy based on interception triangle. ICMLCA 2023: 1015-1020 - 2022
- [j30]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: 101-110 (2022) - [j29]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): 1362-1373 (2022) - [c31]Shiyu Huang, Chao Yu, Bin Wang, Dong Li, Yu Wang, Ting Chen, Jun Zhu:
VMAPD: Generate Diverse Solutions for Multi-Agent Games with Recurrent Trajectory Discriminators. CoG 2022: 9-16 - [c30]Rong Han, Xiaohong Liu, Ting Chen:
Yolo-SG: Salience-Guided Detection Of Small Objects In Medical Images. ICIP 2022: 4218-4222 - [c29]Weijie He
, Xiaohao Mao, Chao Ma, Yu Huang, José Miguel Hernández-Lobato, Ting Chen:
BSODA: A Bipartite Scalable Framework for Online Disease Diagnosis. WWW 2022: 2511-2521 - [i6]Wenze Chen, Shiyu Huang, Yuan Chiang, Ting Chen, Jun Zhu:
DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization. CoRR abs/2207.05631 (2022) - [i5]Wenkai Li, Cheng Feng, Ting Chen, Jun Zhu:
Robust Learning of Deep Time Series Anomaly Detection Models with Contaminated Training Data. CoRR abs/2208.01841 (2022) - 2021
- [j28]Kaikun Xie
, Zehua Liu
, Ning Chen
, Ting Chen
:
redPATH: Reconstructing the Pseudo Development Time of Cell Lineages in Single-cell RNA-seq Data and Applications in Cancer. Genom. Proteom. Bioinform. 19(2): 292-305 (2021) - [j27]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): 834-847 (2021) - [c28]Xiaohong Liu, Kai Wang, Ting Chen:
Deep Active Learning For Fibrosis Segmentation Of Chest CT Scans From Covid-19 Patients. ICIP 2021: 175-179 - [c27]Shiyu Huang
, Bin Wang, Hang Su
, Dong Li, Jianye Hao, Jun Zhu, Ting Chen
:
Off-Policy Training for Truncated TD(λ) Boosted Soft Actor-Critic. PRICAI (3) 2021: 46-59 - [i4]Shiyu Huang, Bin Wang, Dong Li, Jianye Hao, Ting Chen, Jun Zhu:
Ranking Cost: Building An Efficient and Scalable Circuit Routing Planner with Evolution-Based Optimization. CoRR abs/2110.03939 (2021) - [i3]Shiyu Huang, Wenze Chen, Longfei Zhang, Ziyang Li, Fengming Zhu, Deheng Ye, Ting Chen, Jun Zhu:
TiKick: Towards Playing Multi-agent Football Full Games from Single-agent Demonstrations. CoRR abs/2110.04507 (2021) - 2020
- [c26]Xuan Zhang, Ting Chen:
Attention U-net for Interpretable Classification on Chest X-ray Image. BIBM 2020: 901-908 - [c25]Shiyu Huang, Hang Su, Jun Zhu, Ting Chen:
SVQN: Sequential Variational Soft Q-Learning Networks. ICLR 2020 - [c24]Ke Wang, Xuyan Chen, Ning Chen, Ting Chen:
Automatic Emergency Diagnosis with Knowledge-Based Tree Decoding. IJCAI 2020: 3407-3414 - [c23]Ke Wang, Ning Chen, Ting Chen:
Joint Medical Ontology Representation Learning for Healthcare Predictions. IJCNN 2020: 1-7 - [c22]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: 25-34 - [c21]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: 656-664 - [i2]Weijie He, Xiaohao Mao, Chao Ma, José Miguel Hernández-Lobato, Ting Chen:
FIT: a Fast and Accurate Framework for Solving Medical Inquiring and Diagnosing Tasks. CoRR abs/2012.01065 (2020)
2010 – 2019
- 2019
- [j26]Hongfei Cui, Hailin Hu, Jianyang Zeng, Ting Chen:
DeepShape: estimating isoform-level ribosome abundance and distribution with Ribo-seq data. BMC Bioinform. 20-S(24): 678 (2019) - [j25]Yuqing Yang, Xin Wang, Yu Huang, Ning Chen, Juhong Shi, Ting Chen:
Ontology-based venous thromboembolism risk assessment model developing from medical records. BMC Medical Informatics Decis. Mak. 19-S(4): 151:1-151:13 (2019) - [c20]Shiyu Huang, Hang Su, Jun Zhu, Ting Chen:
Combo-Action: Training Agent For FPS Game with Auxiliary Tasks. AAAI 2019: 954-961 - [c19]Ke Wang, Guangyu Wang, Ning Chen, Ting Chen:
How Robust is Your Automatic Diagnosis Model? BIBM 2019: 877-884 - [c18]Xiaohong Liu, Guangyu Wang, Yiming Xu, Ning Chen, Ting Chen:
Bone Age Assessment by Deep Convolutional Neural Networks Combined with Clinical TW3-RUS. BIBM 2019: 948-952 - [c17]Guangyu Wang, Xiaohong Liu, Ken Xie
, Ning Chen, Ting Chen:
DeepTriager: A Neural Attention Model for Emergency Triage with Electronic Health Records. BIBM 2019: 978-982 - [c16]Yujuan Feng, Zhenxing Xu, Lin Gan, Ning Chen, Bin Yu, Ting Chen, Fei Wang:
DCMN: Double Core Memory Network for Patient Outcome Prediction with Multimodal Data. ICDM 2019: 200-209 - [c15]Xuan Zhang, Guangyu Wang, Ning Chen, Ting Chen:
Computer-aided Diagnosis of Ambulatory Electrocardiograms via ASRS: Active-Selection-Random-Selection. ICHI 2019: 1-9 - 2018
- [j24]Ning Chen, Jun Zhu, Jianfei Chen, Ting Chen:
Dropout training for SVMs with data augmentation. Frontiers Comput. Sci. 12(4): 694-713 (2018) - [c14]Yuqing Yang, Xin Wang, Yu Huang, Ning Chen, Juhong Shi, Ting Chen:
Ontology-based Venous Thromboembolism Risk Factors Mining and Model Developing from Medical Records. BIBM 2018: 1669-1672 - [p1]Yao-Ting Huang, Kui Zhang, Ting Chen, Kun-Mao Chao:
Approximation Algorithms for the Selection of Robust Tag SNPs. Handbook of Approximation Algorithms and Metaheuristics (2) 2018 - 2017
- [j23]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): 791-798 (2017) - [j22]Linhao Jiang, Yichao Dong, Ning Chen, Ting Chen:
DACE: a scalable DP-means algorithm for clustering extremely large sequence data. Bioinform. 33(6): 834-842 (2017) - [j21]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): i92-i101 (2017) - [j20]Xu Min, Wanwen Zeng
, Shengquan Chen, Ning Chen, Ting Chen, Rui Jiang
:
Predicting enhancers with deep convolutional neural networks. BMC Bioinform. 18(S-13): 35-46 (2017) - [j19]Xuegong Zhang, Shansong Liu, Hongfei Cui, Ting Chen:
Reading the Underlying Information From Massive Metagenomic Sequencing Data. Proc. IEEE 105(3): 459-473 (2017) - [j18]Sai Zhang
, Muxuan Liang
, Zhongjun Zhou, Chen Zhang, Ning Chen, Ting Chen, Jianyang Zeng:
Elastic restricted Boltzmann machines for cancer data analysis. Quant. Biol. 5(2): 159-172 (2017) - [c13]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: 208-215 - [c12]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: 770-777 - 2016
- [j17]Mengmeng Wu, Ting Chen, Rui Jiang
:
Global inference of disease-causing single nucleotide variants from exome sequencing data. BMC Bioinform. 17(S-17): 145-157 (2016) - [j16]Jiaxin Wu, Mengmeng Wu, Ting Chen, Rui Jiang:
Whole genome sequencing and its applications in medical genetics. Quant. Biol. 4(2): 115-128 (2016) - [j15]Zohreh Baharvand Irannia, Ting Chen:
TACO: Taxonomic prediction of unknown OTUs through OTU co-abundance networks. Quant. Biol. 4(3): 149-158 (2016) - [c11]Xu Min, Ning Chen, Ting Chen, Rui Jiang
:
DeepEnhancer: Predicting enhancers by convolutional neural networks. BIBM 2016: 637-644 - [c10]Yuqing Yang, Ning Chen, Ting Chen:
mLDM: A New Hierarchical Bayesian Statistical Model for Sparse Microbial Association Discovery. RECOMB 2016: 253-254 - 2015
- [j14]Songpeng Zu
, Ting Chen, Shao Li
:
Global optimization-based inference of chemogenomic features from drug-target interactions. Bioinform. 31(15): 2523-2529 (2015) - [j13]Rui Li, Ting Chen, Shao Li
:
Network-based method to infer the contributions of proteins to the etiology of drug side effects. Quant. Biol. 3(3): 124-134 (2015) - [j12]Muxuan Liang
, Zhizhong Li, Ting Chen, Jianyang Zeng:
Integrative Data Analysis of Multi-Platform Cancer Data with a Multimodal Deep Learning Approach. IEEE ACM Trans. Comput. Biol. Bioinform. 12(4): 928-937 (2015) - [i1]Ning Chen, Jun Zhu, Jianfei Chen, Ting Chen:
Dropout Training for SVMs with Data Augmentation. CoRR abs/1508.02268 (2015) - 2014
- [j11]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): 685-698 (2014) - 2012
- [j10]Ting Chen, Paul Marjoram, Fengzhu Sun, Xianghong Jasmine Zhou:
Preface: Special Issue. J. Comput. Biol. 19(6): 575-576 (2012)
2000 – 2009
- 2009
- [j9]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): 347-370 (2009) - 2007
- [r1]Kui Zhang, Kun-Mao Chao, Yao-Ting Huang, Ting Chen:
Approximation Algorithms for the Selection of Robust Tag SNPs. Handbook of Approximation Algorithms and Metaheuristics 2007 - 2006
- [j8]Hyunju Lee
, Minghua Deng, Fengzhu Sun, Ting Chen:
An integrated approach to the prediction of domain-domain interactions. BMC Bioinform. 7: 269 (2006) - [j7]Rui Jiang
, Hua Yang, Fengzhu Sun, Ting Chen:
Searching for interpretable rules for disease mutations: a simulated annealing bump hunting strategy. BMC Bioinform. 7: 417 (2006) - [c9]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: 489-496 - 2005
- [j6]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): 131-134 (2005) - [j5]Yao-Ting Huang
, Kui Zhang, Ting Chen, Kun-Mao Chao
:
Selecting additional tag SNPs for tolerating missing data in genotyping. BMC Bioinform. 6: 263 (2005) - [j4]Yao-Ting Huang
, Kun-Mao Chao
, Ting Chen:
An Approximation Algorithm for Haplotype Inference by Maximum Parsimony. J. Comput. Biol. 12(10): 1261-1274 (2005) - [c8]Yao-Ting Huang, Kun-Mao Chao, Ting Chen:
An approximation algorithm for haplotype inference by maximum parsimony. SAC 2005: 146-150 - 2004
- [j3]Minghua Deng, Zhidong Tu, Fengzhu Sun, Ting Chen:
Mapping gene ontology to proteins based on protein-protein interaction data. Bioinform. 20(6): 895-902 (2004) - [j2]Minghua Deng, Ting Chen, Fengzhu Sun:
An Integrated Probabilistic Model for Functional Prediction of Proteins. J. Comput. Biol. 11(2/3): 463-475 (2004) - [c7]Yao-Ting Huang
, Kui Zhang, Ting Chen, Kun-Mao Chao:
Approximation Algorithms for the Selection of Robust Tag SNPs. WABI 2004: 278-289 - 2003
- [j1]Minghua Deng, Kui Zhang, Shipra Mehta, Ting Chen, Fengzhu Sun:
Prediction of Protein Function Using Protein-Protein Interaction Data. J. Comput. Biol. 10(6): 947-960 (2003) - [c6]Minghua Deng, Fengzhu Sun, Ting Chen:
Assessment of the reliability of protein-protein interactions and protein function prediction. Pacific Symposium on Biocomputing 2003: 140-151 - [c5]Minghua Deng, Ting Chen, Fengzhu Sun:
An integrated probabilistic model for functional prediction of proteins. RECOMB 2003: 95-103 - [c4]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: 332-340 - 2002
- [c3]Minghua Deng, Kui Zhang, Shipra Mehta, Ting Chen, Fengzhu Sun:
Prediction of Protein Function Using Protein-Protein Interaction Data. CSB 2002: 197-206 - [c2]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: 96-112 - [c1]Minghua Deng, Shipra Mehta, Fengzhu Sun, Ting Chen:
Inferring domain-domain interactions from protein-protein interactions. RECOMB 2002: 117-126
Coauthor Index
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last updated on 2024-08-23 19:25 CEST by the dblp team
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