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  • Event Detection Explorer: An Interactive Tool for Event Detection Exploration
    Wenlong Zhang, Bhagyashree Ingale, Hamza Shabir, Tianyi Li, Tian Shi, Ping Wang
    In Proceedings of the ACM Conference on Intelligent User Interfaces (IUI), 2023.
    Demo Video
  • Learnersourced Content Moderation of Learning Materials
    Ping Wang, Tianyi Li
    The first annual workshop on Partnerships for Cocreating Educational Content in Proceedings of the Learning Analytics and Knowledge Conference (LAK), 2023.
  • Multi-Label Clinical Time-Series Generation via Conditional GAN
    Chang Lu, Chandan K Reddy, Ping Wang, Dong Nie, Yue Ning
    Preprint, 2022.
  • Exploring the Impact of Sub-Task Inter-Dependency on Crowdsourced Event Annotation
    Tianyi Li, Ping Wang, Tian Shi, 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)
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