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 16 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
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
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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