Ping Zhang
Orcid: 0000-0002-4601-0779Affiliations:
- Ohio State University, Columbus, OH, USA
- IBM Thomas J. Watson Research Center, Center for Computational Health, Yorktown Heights, NY, USA
- Temple University, Center for Data Analytics and Biomedical Informatics, Philadelphia, PA, USA (PhD 2012)
According to our database1,
Ping Zhang
authored at least 101 papers
between 2010 and 2024.
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Bibliography
2024
DDE: Deep Dynamic Epidemiological Modeling for Infectious Illness Development Forecasting in Multi-level Geographic Entities.
J. Heal. Informatics Res., September, 2024
CURE: A deep learning framework pre-trained on large-scale patient data for treatment effect estimation.
Patterns, 2024
CardioAI: A Multimodal AI-based System to Support Symptom Monitoring and Risk Detection of Cancer Treatment-Induced Cardiotoxicity.
CoRR, 2024
Lessons Learned from a Unifying Empirical Study of Parameter-Efficient Transfer Learning (PETL) in Visual Recognition.
CoRR, 2024
Clinical Challenges and AI Opportunities in Decision-Making for Cancer Treatment-Induced Cardiotoxicity.
CoRR, 2024
MedVH: Towards Systematic Evaluation of Hallucination for Large Vision Language Models in the Medical Context.
CoRR, 2024
Inquire, Interact, and Integrate: A Proactive Agent Collaborative Framework for Zero-Shot Multimodal Medical Reasoning.
CoRR, 2024
CoRR, 2024
SSM-Net: Semi-supervised multi-task network for joint lesion segmentation and classification from pancreatic EUS images.
Artif. Intell. Medicine, 2024
SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active Sensing.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Predictive Modeling with Temporal Graphical Representation on Electronic Health Records.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024
KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Stable clinical risk prediction against distribution shift in electronic health records.
Patterns, September, 2023
TMM-Nets: Transferred Multi- to Mono-Modal Generation for Lupus Retinopathy Diagnosis.
IEEE Trans. Medical Imaging, April, 2023
Nat. Mac. Intell., April, 2023
A fair and interpretable network for clinical risk prediction: a regularized multi-view multi-task learning approach.
Knowl. Inf. Syst., April, 2023
Human-centered design and evaluation of AI-empowered clinical decision support systems: a systematic review.
Frontiers Comput. Sci., 2023
Domain Invariant Representation Learning and Sleep Dynamics Modeling for Automatic Sleep Staging.
CoRR, 2023
Deep Dynamic Epidemiological Modelling for COVID-19 Forecasting in Multi-level Districts.
CoRR, 2023
DRAC: Diabetic Retinopathy Analysis Challenge with Ultra-Wide Optical Coherence Tomography Angiography Images.
CoRR, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Heterogeneous Treatment Effect Estimation with Subpopulation Identification for Personalized Medicine in Opioid Use Disorder.
Proceedings of the IEEE International Conference on Data Mining, 2023
2022
Mixed-Weight Neural Bagging for Detecting $m^6A$ Modifications in SARS-CoV-2 RNA Sequencing.
IEEE Trans. Biomed. Eng., 2022
Chemical-induced gene expression ranking and its application to pancreatic cancer drug repurposing.
Patterns, 2022
Patterns, 2022
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022
Predicting Age-Related Macular Degeneration Progression with Contrastive Attention and Time-Aware LSTM.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Deconfounding Actor-Critic Network with Policy Adaptation for Dynamic Treatment Regimes.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the IEEE International Conference on Data Mining, 2022
2021
NHBS-Net: A Feature Fusion Attention Network for Ultrasound Neonatal Hip Bone Segmentation.
IEEE Trans. Medical Imaging, 2021
An interpretable deep-learning model for early prediction of sepsis in the emergency department.
Patterns, 2021
Nat. Comput. Sci., 2021
A deep learning framework for high-throughput mechanism-driven phenotype compound screening and its application to COVID-19 drug repurposing.
Nat. Mach. Intell., 2021
A deep learning framework for drug repurposing via emulating clinical trials on real-world patient data.
Nat. Mach. Intell., 2021
Clinical connectivity map for drug repurposing: using laboratory results to bridge drugs and diseases.
BMC Medical Informatics Decis. Mak., 2021
Proceedings of the IEEE International Conference on Data Mining, 2021
Cardiac Complication Risk Profiling for Cancer Survivors via Multi-View Multi-Task Learning.
Proceedings of the IEEE International Conference on Data Mining, 2021
Proceedings of the Artificial Intelligence in Medicine, 2021
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
2020
Combining structured and unstructured data for predictive models: a deep learning approach.
BMC Medical Informatics Decis. Mak., 2020
BMC Medical Informatics Decis. Mak., 2020
CoRR, 2020
CoRR, 2020
When deep learning meets causal inference: a computational framework for drug repurposing from real-world data.
CoRR, 2020
DrugDBEmbed : Semantic Queries on Relational Database using Supervised Column Encodings.
CoRR, 2020
Bioinform., 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Proceedings of the AMIA 2020, 2020
2019
Towards early detection of adverse drug reactions: combining pre-clinical drug structures and post-market safety reports.
BMC Medical Informatics Decis. Mak., 2019
PerDREP: Personalized Drug Effectiveness Prediction from Longitudinal Observational Data.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2018
IBM J. Res. Dev., 2018
BMC Bioinform., 2018
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018
An Interpretable End-to-End Framework for Drug-Target Interaction Prediction Through Deep Neural Representation.
Proceedings of the AMIA 2018, 2018
Proceedings of the AMIA 2018, 2018
Proceedings of the AMIA 2018, 2018
2017
Large-scale structural and textual similarity-based mining of knowledge graph to predict drug-drug interactions.
J. Web Semant., 2017
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017
Precision Cohort Finding with Outcome-Driven Similarity Analytics: A Case Study of Patients with Atrial Fibrillation.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017
Improving predictive models with clustered sequences: An Application on Heart Failure Risk Prediction.
Proceedings of the Summit on Clinical Research Informatics, 2017
Integrating Temporal Pattern Mining in Ischemic Stroke Prediction and Treatment Pathway Discovery for Atrial Fibrillation.
Proceedings of the Summit on Clinical Research Informatics, 2017
Exploiting Electronic Health Records to Mine Drug Effects on Laboratory Test Results.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
Proceedings of the 2017 IEEE Pacific Visualization Symposium, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
Multitask Dyadic Prediction and Its Application in Prediction of Adverse Drug-Drug Interaction.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Predicting Drug-Drug Interactions Through Similarity-Based Link Prediction Over Web Data.
Proceedings of the 25th International Conference on World Wide Web, 2016
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016
Using Frequent Item Set Mining and Feature Selection Methods to Identify Interacted Risk Factors - The Atrial Fibrillation Case Study.
Proceedings of the Exploring Complexity in Health: An Interdisciplinary Systems Approach - Proceedings of MIE2016 at HEC2016, Munich, Germany, 28 August, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Predicting Drug-Drug Interactions Through Large-Scale Similarity-Based Link Prediction.
Proceedings of the Semantic Web. Latest Advances and New Domains, 2016
Proceedings of the AMIA 2016, 2016
Data-Driven Prediction of Beneficial Drug Combinations in Spontaneous Reporting Systems.
Proceedings of the AMIA 2016, 2016
Integrated Machine Learning Approaches for Predicting Ischemic Stroke and Thromboembolism in Atrial Fibrillation.
Proceedings of the AMIA 2016, 2016
Towards Large-Scale Predictive Drug Safety: A Computational Framework for Inferring Drug Interactions Through Similarity-Based Link Prediction.
Proceedings of the AMIA 2016, 2016
Tiresias: Knowledge Engineering and Large-Scale Machine Learning for Interpretable Drug-Drug Interaction Prediction.
Proceedings of the AMIA 2016, 2016
2015
Proceedings of the MEDINFO 2015: eHealth-enabled Health, 2015
Towards Computational Drug Repositioning: A Comparative Study of Single-task and Multi-task Learning.
Proceedings of the AMIA 2015, 2015
2014
<i>DDI-CPI</i>, a server that predicts drug-drug interactions through implementing the chemical-protein interactome.
Nucleic Acids Res., 2014
J. Biomed. Informatics, 2014
Predicting changes in hypertension control using electronic health records from a chronic disease management program.
J. Am. Medical Informatics Assoc., 2014
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
Towards Drug Repositioning: A Unified Computational Framework for Integrating Multiple Aspects of Drug Similarity and Disease Similarity.
Proceedings of the AMIA 2014, 2014
Proceedings of the AMIA 2014, 2014
2013
Learning by aggregating experts and filtering novices: a solution to crowdsourcing problems in bioinformatics.
BMC Bioinform., 2013
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013
Proceedings of the AMIA 2013, 2013
2012
Semi-Supervised Learning on Single-View Datasets by Integration of Multiple Co-trained Classifiers.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012
2011
Learning from Inconsistent and Unreliable Annotators by a Gaussian Mixture Model and Bayesian Information Criterion.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011
2010
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010