default search action
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
- Ting Chen 0003
- Ting Chen 0004
- Ting Chen 0005
- Ting Chen 0007 — Google Brain (and 2 more)
- Ting Chen 0008 (aka: Ting Brendan Chen) — University of Western Brittany, Brest, France
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
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 - [i7]Rong Han, Xiaohong Liu, Tong Pan, Jing Xu, Xiaoyu Wang, Wuyang Lan, Zhenyu Li, Zixuan Wang, Jiangning Song, Guangyu Wang, Ting Chen:
CoPRA: Bridging Cross-domain Pretrained Sequence Models with Complex Structures for Protein-RNA Binding Affinity Prediction. CoRR abs/2409.03773 (2024) - 2023
- [j31]Yiming Xu
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
Research on cooperative UAV countermeasure strategy based on interception triangle. ICMLCA 2023: 1015-1020 - 2022
- [j30]Wenkai Li, Wenbo Hu
StackVAE-G: An efficient and interpretable model for time series anomaly detection. AI Open 3: 101-110 (2022) - [j29]Yiming Xu
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
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
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
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
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
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
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
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
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
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
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
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
An integrated approach to the prediction of domain-domain interactions. BMC Bioinform. 7: 269 (2006) - [j7]Rui Jiang
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
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
Selecting additional tag SNPs for tolerating missing data in genotyping. BMC Bioinform. 6: 263 (2005) - [j4]Yao-Ting Huang
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
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
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-15 20:39 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: