Ping Wang

According to our database, Ping Wang authored at least 20 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Task as Context Prompting for Accurate Medical Symptom Coding Using Large Language Models.

Chengyang He, Wenlong Zhang, Violet Xinying Chen, Yue Ning, Ping Wang

CoRR, April, 2025

2024

Multi-Label Clinical Time-Series Generation via Conditional GAN.

Chang Lu, Chandan K. Reddy, Ping Wang, Dong Nie, Yue Ning

IEEE Trans. Knowl. Data Eng., April, 2024

Understanding Student Sentiment on Mental Health Support in Colleges Using Large Language Models.

Palak Sood, Chengyang He, Divyanshu Gupta, Yue Ning, Ping Wang

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Towards Semi-Structured Automatic ICD Coding via Tree-based Contrastive Learning.

Chang Lu, Chandan K. Reddy, Ping Wang, Yue Ning

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.

Wenlong Zhang, Bhagyashree Ingale, Hamza Shabir, Tianyi Li, Tian Shi, Ping Wang

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.

Wenlong Zhang, Kangping Zeng, Xinming Yang, Tian Shi, Ping Wang

Proceedings of the 14th ACM International Conference on Bioinformatics, 2023

2022

Corpus-level and Concept-based Explanations for Interpretable Document Classification.

Tian Shi, Xuchao Zhang, Ping Wang, Chandan K. Reddy

ACM Trans. Knowl. Discov. Data, 2022

Attention-based aspect reasoning for knowledge base question answering on clinical notes.

Ping Wang, Tian Shi, Khushbu Agarwal, Sutanay Choudhury, Chandan K. Reddy

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.

Ping Wang

PhD thesis, 2021

A Novel Tensor-Based Temporal Multi-Task Survival Analysis Model.

Ping Wang, Tian Shi, Chandan K. Reddy

IEEE Trans. Knowl. Data Eng., 2021

Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks.

Ping Wang, Khushbu Agarwal, Colby Ham, Sutanay Choudhury, Chandan K. Reddy

Proceedings of the WWW '21: The Web Conference 2021, 2021

A Simple and Effective Self-Supervised Contrastive Learning Framework for Aspect Detection.

Tian Shi, Liuqing Li, Ping Wang, Chandan K. Reddy

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.

Tian Shi, Ping Wang, Chandan K. Reddy

CoRR, 2020

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

Tian Shi, Xuchao Zhang, Ping Wang, Chandan K. Reddy

CoRR, 2020

Text-to-SQL Generation for Question Answering on Electronic Medical Records.

Ping Wang, Tian Shi, Chandan K. Reddy

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

2019

Machine Learning for Survival Analysis: A Survey.

Ping Wang, Yan Li, Chandan K. Reddy

ACM Comput. Surv., 2019

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

Ping Wang, Tian Shi, Chandan K. Reddy

CoRR, 2019

LeafNATS: An Open-Source Toolkit and Live Demo System for Neural Abstractive Text Summarization.

Tian Shi, Ping Wang, Chandan K. Reddy

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.

Mahtab Jahanbani Fard, Ping Wang, Sanjay Chawla, Chandan K. Reddy

IEEE Trans. Knowl. Data Eng., 2016

CRISP: Consensus Regularized Selection based Prediction.

Ping Wang, Karthik K. Padthe, Bhanukiran Vinzamuri, Chandan K. Reddy

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016