Ting Chen

Orcid: 0000-0002-3228-9166

Affiliations:
  • Tsinghua University, Beijing, China
  • University of Southern California, CA, USA (former)
  • Stony Brook University, NY, USA (former)


According to our database1, Ting Chen authored at least 63 papers between 2002 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Improving artificial intelligence pipeline for liver malignancy diagnosis using ultrasound images and video frames.
Briefings Bioinform., January, 2023

DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
StackVAE-G: An efficient and interpretable model for time series anomaly detection.
AI Open, January, 2022

Explainable Dynamic Multimodal Variational Autoencoder for the Prediction of Patients With Suspected Central Precocious Puberty.
IEEE J. Biomed. Health Informatics, 2022

Robust Learning of Deep Time Series Anomaly Detection Models with Contaminated Training Data.
CoRR, 2022

BSODA: A Bipartite Scalable Framework for Online Disease Diagnosis.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Yolo-SG: Salience-Guided Detection Of Small Objects In Medical Images.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

VMAPD: Generate Diverse Solutions for Multi-Agent Games with Recurrent Trajectory Discriminators.
Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

2021
kLDM: Inferring Multiple Metagenomic Association Networks Based on the Variation of Environmental Factors.
Genom. Proteom. Bioinform., 2021

redPATH: Reconstructing the Pseudo Development Time of Cell Lineages in Single-cell RNA-seq Data and Applications in Cancer.
Genom. Proteom. Bioinform., 2021

TiKick: Towards Playing Multi-agent Football Full Games from Single-agent Demonstrations.
CoRR, 2021

Ranking Cost: Building An Efficient and Scalable Circuit Routing Planner with Evolution-Based Optimization.
CoRR, 2021

Off-Policy Training for Truncated TD(λ) Boosted Soft Actor-Critic.
Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

Deep Active Learning For Fibrosis Segmentation Of Chest CT Scans From Covid-19 Patients.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020
Anterior Segment Eye Lesion Segmentation with Advanced Fusion Strategies and Auxiliary Tasks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

KISEG: A Three-Stage Segmentation Framework for Multi-level Acceleration of Chest CT Scans from COVID-19 Patients.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Joint Medical Ontology Representation Learning for Healthcare Predictions.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Automatic Emergency Diagnosis with Knowledge-Based Tree Decoding.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

SVQN: Sequential Variational Soft Q-Learning Networks.
Proceedings of the 8th International Conference on Learning Representations, 2020

Attention U-net for Interpretable Classification on Chest X-ray Image.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Ontology-based venous thromboembolism risk assessment model developing from medical records.
BMC Medical Informatics Decis. Mak., 2019

Computer-aided Diagnosis of Ambulatory Electrocardiograms via ASRS: Active-Selection-Random-Selection.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

DCMN: Double Core Memory Network for Patient Outcome Prediction with Multimodal Data.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

How Robust is Your Automatic Diagnosis Model?
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

DeepTriager: A Neural Attention Model for Emergency Triage with Electronic Health Records.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Bone Age Assessment by Deep Convolutional Neural Networks Combined with Clinical TW3-RUS.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Combo-Action: Training Agent For FPS Game with Auxiliary Tasks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Dropout training for SVMs with data augmentation.
Frontiers Comput. Sci., 2018

Ontology-based Venous Thromboembolism Risk Factors Mining and Model Developing from Medical Records.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Approximation Algorithms for the Selection of Robust Tag SNPs.
Proceedings of the Handbook of Approximation Algorithms and Metaheuristics, 2018

2017
Elastic restricted Boltzmann machines for cancer data analysis.
Quant. Biol., 2017

Reading the Underlying Information From Massive Metagenomic Sequencing Data.
Proc. IEEE, 2017

Predicting enhancers with deep convolutional neural networks.
BMC Bioinform., 2017

Chromatin accessibility prediction via convolutional long short-term memory networks with k-mer embedding.
Bioinform., 2017

COCACOLA: binning metagenomic contigs using sequence COmposition, read CoverAge, CO-alignment and paired-end read LinkAge.
Bioinform., 2017

DACE: a scalable DP-means algorithm for clustering extremely large sequence data.
Bioinform., 2017

Integrating embeddings of multiple gene networks to prioritize complex disease-associated genes.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Patient outcome prediction via convolutional neural networks based on multi-granularity medical concept embedding.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
Whole genome sequencing and its applications in medical genetics.
Quant. Biol., 2016

TACO: Taxonomic prediction of unknown OTUs through OTU co-abundance networks.
Quant. Biol., 2016

Global inference of disease-causing single nucleotide variants from exome sequencing data.
BMC Bioinform., 2016

mLDM: A New Hierarchical Bayesian Statistical Model for Sparse Microbial Association Discovery.
Proceedings of the Research in Computational Molecular Biology - 20th Annual Conference, 2016

DeepEnhancer: Predicting enhancers by convolutional neural networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
Network-based method to infer the contributions of proteins to the etiology of drug side effects.
Quant. Biol., 2015

2014
Integrative approaches for predicting protein function and prioritizing genes for complex phenotypes using protein interaction networks.
Briefings Bioinform., 2014

2012
Preface: Special Issue.
J. Comput. Biol., 2012

2009
Bayesian Models and Gibbs Sampling Strategies for Local Graph Alignment and Motif Identification in Stochastic Biological Networks.
Commun. Inf. Syst., 2009

2007
Approximation Algorithms for the Selection of Robust Tag SNPs.
Proceedings of the Handbook of Approximation Algorithms and Metaheuristics., 2007

2006
An integrated approach to the prediction of domain-domain interactions.
BMC Bioinform., 2006

Searching for interpretable rules for disease mutations: a simulated annealing bump hunting strategy.
BMC Bioinform., 2006

An integrative approach for causal gene identification and gene regulatory pathway inference.
Proceedings of the Proceedings 14th International Conference on Intelligent Systems for Molecular Biology 2006, 2006

2005
An Approximation Algorithm for Haplotype Inference by Maximum Parsimony.
J. Comput. Biol., 2005

Selecting additional tag SNPs for tolerating missing data in genotyping.
BMC Bioinform., 2005

HapBlock: haplotype block partitioning and tag SNP selection software using a set of dynamic programming algorithms.
Bioinform., 2005

2004
An Integrated Probabilistic Model for Functional Prediction of Proteins.
J. Comput. Biol., 2004

Mapping gene ontology to proteins based on protein-protein interaction data.
Bioinform., 2004

Approximation Algorithms for the Selection of Robust Tag SNPs.
Proceedings of the Algorithms in Bioinformatics, 4th International Workshop, 2004

2003
Prediction of Protein Function Using Protein-Protein Interaction Data.
J. Comput. Biol., 2003

Dynamic programming algorithms for haplotype block partitioning: applications to human chromosome 21 haplotype data.
Proceedings of the Sventh Annual International Conference on Computational Biology, 2003

Assessment of the reliability of protein-protein interactions and protein function prediction.
Proceedings of the 8th Pacific Symposium on Biocomputing, 2003

2002
Dynamic Programming Algorithms for Haplotype Block Partitioning and Tag SNP Selection Using Haplotype Data or Genotype Data.
Proceedings of the Computational Methods for SNPs and Haplotype Inference, 2002

Inferring domain-domain interactions from protein-protein interactions.
Proceedings of the Sixth Annual International Conference on Computational Biology, 2002


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