Leaflab

Enhancing Depression Detection from Narrative Interviews Using Language Models

Palak Sood†, Xinming Yang†, and Ping Wang

In Proceedings of the International Conference on Bioinformatics and Biomedicine (BIBM), 2023.

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

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

In Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS), 2023.

Task as Context: A Sensemaking Perspective on Annotating Inter-Dependent Event Attributes with Non-Experts

Tianyi Li, Ping Wang, Tian Shi, Yali Bian, and Andy Esakia

In Proceedings of the AAAI Conference on Human Computation and Crowdsourcing (HCOMP), 2023.

Multi-Label Clinical Time-Series Generation via Conditional GAN

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

IEEE Transactions on Knowledge and Data Engineering (TKDE), 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, and Ping Wang

In Proceedings of the ACM International Conference on Bioinformatics, Computational Biology and Health Informatics (ACM BCB), September 2023.

Event Detection Explorer: An Interactive Tool for Event Detection Exploration

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

In Proceedings of the ACM Conference on Intelligent User Interfaces (IUI), 2023.

Demo Video

Exploring the Impact of Sub-Task Inter-Dependency on Crowdsourced Event Annotation

Tianyi Li, Ping Wang, Tian Shi, and Andrey Esakia

In Proceedings of the AAAI Conference on Human Computation and Crowdsourcing (HCOMP), 2022.

Attention-based Aspect Reasoning for Knowledge Base Question Answering on Clinical Notes

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

In Proceedings of the ACM International Conference on Bioinformatics, Computational Biology and Health Informatics (ACM BCB), August 2022.

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

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

ACM Transactions on Knowledge Discovery from Data (TKDD), Vol.16, No.3, pp.48:1-17, June 2022.

Code

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

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

In Proceedings of The Web Conference (WWW), Ljubljana, Slovenia, April 2021.

Code

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

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

In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), Online, February 2021.

Code

Deliberate Self-Attention Network with Uncertainty Estimation for Multi-Aspect Review Rating Prediction

Tian Shi, Ping Wang, and Chandan K. Reddy

Preprint, 2020.

Code

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

Ping Wang, Tian Shi, and Chandan K. Reddy

In Proceedings of The Web Conference (WWW), Taipei, Taiwan, April 2020.

Code Dataset Slides Video Media Coverage

Tensor-based Temporal Multi-Task Survival Analysis

Ping Wang, Tian Shi, and Chandan K. Reddy

IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020. (Impact factor: 4.935)

Code

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

Tian Shi, Ping Wang, and Chandan K. Reddy

In Proceedings of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL), Minneapolis, MN, June 2019 (Demo).

Code Demo Video

Machine Learning for Survival Analysis: A Survey

Ping Wang, Yan Li, and Chandan K. Reddy

ACM Computing Surveys (CSUR), Vol.51, No.6, pp.1-36, 2019. (Impact factor: 7.990)

Github Page Supplemental Material Slides Video-part-1 Video-part-2

A Bayesian Perspective on Early Stage Event Prediction in Longitudinal Data

Mahtab J. Fard, Ping Wang, Sanjay Chawla, and Chandan K. Reddy

IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol.28, No.12, pp.3126-3139,
December 2016. (Impact factor: 4.935)

Code

CRISP: Consensus Regularized Selection based Prediction

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

In Proceedings of the ACM Conference on Information and Knowledge Management (CIKM),
Indianapolis, IN, October 2016.

GPView: A Program for Wave Function Analysis and Visualization

Tian Shi, and Ping Wang

Journal of Molecular Graphics and Modelling, Vol.70, pp 305-314, 2016. (Impact factor: 2.079)