Ping Wang

Orcid: 0000-0002-0379-9183

Affiliations:
  • Stevens Institute of Technology, Hoboken, NJ, USA
  • Virginia Tech, Arlington, VA, USA (former)


According to our database1, Ping Wang authored at least 18 papers between 2016 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Multi-Label Clinical Time-Series Generation via Conditional GAN.
IEEE Trans. Knowl. Data Eng., April, 2024

2023
Towards Semi-Structured Automatic ICD Coding via Tree-based Contrastive Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Event Detection Explorer: An Interactive Tool for Event Detection Exploration.
Proceedings of the Companion Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023

Text-to-ESQ: A Two-Stage Controllable Approach for Efficient Retrieval of Vaccine Adverse Events from NoSQL Database.
Proceedings of the 14th ACM International Conference on Bioinformatics, 2023

2022
Corpus-level and Concept-based Explanations for Interpretable Document Classification.
ACM Trans. Knowl. Discov. Data, 2022

Attention-based aspect reasoning for knowledge base question answering on clinical notes.
Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022

2021
Automatic Question Answering and Knowledge Discovery from Electronic Health Records.
PhD thesis, 2021

A Novel Tensor-Based Temporal Multi-Task Survival Analysis Model.
IEEE Trans. Knowl. Data Eng., 2021

Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks.
Proceedings of the WWW '21: The Web Conference 2021, 2021

A Simple and Effective Self-Supervised Contrastive Learning Framework for Aspect Detection.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Deliberate Self-Attention Network with Uncertainty Estimation for Multi-Aspect Review Rating Prediction.
CoRR, 2020

A Concept-based Abstraction-Aggregation Deep Neural Network for Interpretable Document Classification.
CoRR, 2020

Text-to-SQL Generation for Question Answering on Electronic Medical Records.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

2019
Machine Learning for Survival Analysis: A Survey.
ACM Comput. Surv., 2019

A Translate-Edit Model for Natural Language Question to SQL Query Generation on Multi-relational Healthcare Data.
CoRR, 2019

LeafNATS: An Open-Source Toolkit and Live Demo System for Neural Abstractive Text Summarization.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2016
A Bayesian Perspective on Early Stage Event Prediction in Longitudinal Data.
IEEE Trans. Knowl. Data Eng., 2016

CRISP: Consensus Regularized Selection based Prediction.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016


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