| Machine learning for survival analysis: A survey P Wang, Y Li, CK Reddy ACM Computing Surveys (CSUR) 51 (6), 1-36, 2019 | 774 | 2019 |
| Text-to-SQL generation for question answering on electronic medical records P Wang, T Shi, CK Reddy Proceedings of The Web Conference 2020, 350-361, 2020 | 100 | 2020 |
| Self-supervised learning of contextual embeddings for link prediction in heterogeneous networks P Wang, K Agarwal, C Ham, S Choudhury, CK Reddy Proceedings of the web conference 2021, 2946-2957, 2021 | 70 | 2021 |
| A bayesian perspective on early stage event prediction in longitudinal data MJ Fard, P Wang, S Chawla, CK Reddy IEEE Transactions on Knowledge and Data Engineering 28 (12), 3126-3139, 2016 | 57 | 2016 |
| A simple and effective self-supervised contrastive learning framework for aspect detection T Shi, L Li, P Wang, CK Reddy Proceedings of the AAAI conference on artificial intelligence 35 (15), 13815 …, 2021 | 52 | 2021 |
| Multi-label clinical time-series generation via conditional GAN C Lu, CK Reddy, P Wang, D Nie, Y Ning IEEE Transactions on Knowledge and Data Engineering, 2023 | 26 | 2023 |
| LeafNATS: An open-source toolkit and live demo system for neural abstractive text summarization T Shi, P Wang, CK Reddy arXiv preprint arXiv:1906.01512, 2019 | 17 | 2019 |
| A novel tensor-based temporal multi-task survival analysis model P Wang, T Shi, CK Reddy IEEE Transactions on Knowledge and Data Engineering 33 (9), 3311-3322, 2020 | 14 | 2020 |
| Corpus-level and concept-based explanations for interpretable document classification T Shi, X Zhang, P Wang, CK Reddy ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (3), 1-17, 2021 | 10 | 2021 |
| GPView: A program for wave function analysis and visualization T Shi, P Wang Journal of Molecular Graphics and Modelling 70, 305-314, 2016 | 10 | 2016 |
| Attention-based aspect reasoning for knowledge base question answering on clinical notes P Wang, T Shi, K Agarwal, S Choudhury, CK Reddy Proceedings of the 13th ACM International Conference on Bioinformatics …, 2022 | 7 | 2022 |
| Event detection explorer: An interactive tool for event detection exploration W Zhang, B Ingale, H Shabir, T Li, T Shi, P Wang Companion Proceedings of the 28th International Conference on Intelligent …, 2023 | 6 | 2023 |
| Towards semi-structured automatic ICD coding via tree-based contrastive learning C Lu, C Reddy, P Wang, Y Ning Advances in Neural Information Processing Systems 36, 68300-68315, 2023 | 5 | 2023 |
| Text-to-ESQ: A Two-Stage Controllable Approach for Efficient Retrieval of Vaccine Adverse Events from NoSQL Database W Zhang, K Zeng, X Yang, T Shi, P Wang Proceedings of the 14th ACM International Conference on Bioinformatics …, 2023 | 5 | 2023 |
| Enhancing Depression Detection from Narrative Interviews Using Language Models P Sood, X Yang, P Wang 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023 | 3 | 2023 |
| Crisp: Consensus regularized selection based prediction P Wang, KK Padthe, B Vinzamuri, CK Reddy Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 3 | 2016 |
| Natural language querying on domain-specific nosql database with large language models W Zhang, C He, G Yang, D Bandyopadhyay, T Shi, P Wang 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2024 | 1 | 2024 |
| An interpretable and uncertainty aware multi-task framework for multi-aspect sentiment analysis T Shi, P Wang, CK Reddy arXiv preprint arXiv:2009.09112, 2020 | 1 | 2020 |
| Natural Language Querying on NoSQL Databases: Opportunities and Challenges [Vision Paper] W Zhang, T Shi, P Wang 2024 IEEE International Conference on Big Data (BigData), 3353-3357, 2024 | | 2024 |
| Understanding Student Sentiment on Mental Health Support in Colleges Using Large Language Models P Sood, C He, D Gupta, Y Ning, P Wang 2024 IEEE International Conference on Big Data (BigData), 1865-1872, 2024 | | 2024 |
Chandan K. ReddyProfessor, Computer Science, Virginia TechVahvistettu sähköpostiosoite verkkotunnuksessa cs.vt.edu