Tian Shi

According to our database, Tian Shi authored at least 15 papers between 2018 and 2023.

Collaborative distances:

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

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

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

Ping Wang, Tian Shi, Chandan K. Reddy

IEEE Trans. Knowl. Data Eng., 2021

Neural Abstractive Text Summarization with Sequence-to-Sequence Models.

Tian Shi, Yaser Keneshloo, Naren Ramakrishnan, Chandan K. Reddy

Trans. Data Sci., 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

Deep Reinforcement Learning for Sequence-to-Sequence Models.

Yaser Keneshloo, Tian Shi, Naren Ramakrishnan, Chandan K. Reddy

IEEE Trans. Neural Networks Learn. Syst., 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

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

Document-Level Multi-Aspect Sentiment Classification for Online Reviews of Medical Experts.

Tian Shi, Vineeth Rakesh, Suhang Wang, Chandan K. Reddy

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Short-Text Topic Modeling via Non-negative Matrix Factorization Enriched with Local Word-Context Correlations.

Tian Shi, Kyeongpil Kang, Jaegul Choo, Chandan K. Reddy

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018