Ting Chen
Orcid: 0000-0002-3228-9166Affiliations:
- 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 69 papers
between 2002 and 2024.
Collaborative distances:
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Bibliography
2024
CoPRA: Bridging Cross-domain Pretrained Sequence Models with Complex Structures for Protein-RNA Binding Affinity Prediction.
CoRR, 2024
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
Proceedings of the 4th International Conference on Machine Learning and Computer Application, 2023
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
2022
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
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
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
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
FIT: a Fast and Accurate Framework for Solving Medical Inquiring and Diagnosing Tasks.
CoRR, 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
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
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
DeepShape: estimating isoform-level ribosome abundance and distribution with Ribo-seq data.
BMC Bioinform., 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
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
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
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
Proc. IEEE, 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
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
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
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
2015
Integrative Data Analysis of Multi-Platform Cancer Data with a Multimodal Deep Learning Approach.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015
Network-based method to infer the contributions of proteins to the etiology of drug side effects.
Quant. Biol., 2015
Global optimization-based inference of chemogenomic features from drug-target interactions.
Bioinform., 2015
2014
Integrative approaches for predicting protein function and prioritizing genes for complex phenotypes using protein interaction networks.
Briefings Bioinform., 2014
2012
2009
Bayesian Models and Gibbs Sampling Strategies for Local Graph Alignment and Motif Identification in Stochastic Biological Networks.
Commun. Inf. Syst., 2009
2007
Proceedings of the Handbook of Approximation Algorithms and Metaheuristics., 2007
2006
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
J. Comput. Biol., 2005
BMC Bioinform., 2005
HapBlock: haplotype block partitioning and tag SNP selection software using a set of dynamic programming algorithms.
Bioinform., 2005
2004
J. Comput. Biol., 2004
Bioinform., 2004
Proceedings of the Algorithms in Bioinformatics, 4th International Workshop, 2004
2003
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
Proceedings of the Sixth Annual International Conference on Computational Biology, 2002