Chang Su

Orcid: 0000-0003-4019-6389

Affiliations:

Temple University, Department of Health Service Administration and Policy, Philadelphia, PA, USA
Cornell University, Department of Healthcare Policy and Research, Weill Cornell Medicine, Ithaca, New York, USA
Xian Jiaotong University, Department of control science and engineering, MOE Lab for Intelligent Networks and Network Security, MOE KLINNS Laboratory, China

According to our database¹, Chang Su authored at least 24 papers between 2013 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

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Bibliography

2024

Identification of Parkinson's disease PACE subtypes and repurposing treatments through integrative analyses of multimodal data.

[BibT_eX]

[DOI]

npj Digit. Medicine, 2024

2023

Interpretable Medical Image Visual Question Answering via Multi-Modal Relationship Graph Learning.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Application of Deep Learning on Single-cell RNA Sequencing Data Analysis: A Review.

[BibT_eX]

[DOI]

Genom. Proteom. Bioinform., October, 2022

Improving suicide risk prediction via targeted data fusion: proof of concept using medical claims data.

[BibT_eX]

[DOI]

J. Am. Medical Informatics Assoc., 2022

Memory Efficient Temporal & Visual Graph Model for Unsupervised Video Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2022

Unraveling the "Other" Diagnosis of Suspected Suicide Attempts at Emergency Department using Natural Language Processing (NLP).

[BibT_eX]

[DOI]

Proceedings of the AMIA 2022, 2022

Comprehensively modeling heterogeneous symptom progression for Parkinson's disease subtyping.

[BibT_eX]

[DOI]

Jacqueline R. M. A. Maasch

Proceedings of the AMIA 2022, 2022

2021

Learning Fundamental Visual Concepts Based on Evolved Multi-Edge Concept Graph.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2021

Clinical subphenotypes in COVID-19: derivation, validation, prediction, temporal patterns, and interaction with social determinants of health.

[BibT_eX]

[DOI]

npj Digit. Medicine, 2021

Federated Learning for Healthcare Informatics.

[BibT_eX]

[DOI]

Jie Xu

Benjamin S. Glicksberg

J. Heal. Informatics Res., 2021

Leveraging attention-based visual clue extraction for image classification.

[BibT_eX]

[DOI]

IET Image Process., 2021

Recent advances in biomedical literature mining.

[BibT_eX]

[DOI]

Briefings Bioinform., 2021

2020

Kernel-Based Mixture Mapping for Image and Text Association.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2020

Knowledge-driven drug repurposing using a comprehensive drug knowledge graph.

[BibT_eX]

[DOI]

Health Informatics J., 2020

Network embedding in biomedical data science.

[BibT_eX]

[DOI]

Briefings Bioinform., 2020

Interactive Attention Networks for Semantic Text Matching.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

Interactive Attention for Semantic Text Matching.

[BibT_eX]

[DOI]

CoRR, 2019

Embedded Representation of Relation Words with Visual Supervision.

[BibT_eX]

[DOI]

Proceedings of the 3rd IEEE International Conference on Robotic Computing, 2019

GRAPHENE: A Precise Biomedical Literature Retrieval Engine with Graph Augmented Deep Learning and External Knowledge Empowerment.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Toward capturing heterogeneity for inferring diffusion networks: A mixed diffusion pattern model.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2018

A fast multi-level algorithm for community detection in directed online social networks.

[BibT_eX]

[DOI]

J. Inf. Sci., 2018

The NIPS'17 Competition: A Multi-View Ensemble Classification Model for Clinically Actionable Genetic Mutations.

[BibT_eX]

[DOI]

CoRR, 2018

2013

Web page and image semi-supervised classification with heterogeneous information fusion.

[BibT_eX]

[DOI]

J. Inf. Sci., 2013

Maximizing topic propagation driven by multiple user nodes in micro-blogging.

[BibT_eX]

[DOI]

Proceedings of the 38th Annual IEEE Conference on Local Computer Networks, 2013

Chang Su

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