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Tian Shi 0003
Person information
- affiliation: Virginia Tech Research Center Arlington, Arlington, VA, USA
Other persons with the same name
- Tian Shi — disambiguation page
- Tian Shi 0001
— Southeast University, Nanjing, Jiangsu, China - Tian Shi 0002
— Third Surveying and Mapping Institute of Guizhou Province, Guiyang, China - Tian Shi 0004
— Sun Yat-sen University, Guangzhou, Guangdong, China
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2020 – today
- 2023
[c8]Wenlong Zhang
, Kangping Zeng
, Xinming Yang
, Tian Shi
, Ping Wang
:
Text-to-ESQ: A Two-Stage Controllable Approach for Efficient Retrieval of Vaccine Adverse Events from NoSQL Database. BCB 2023: 54:1-54:10
[c7]Wenlong Zhang
, Bhagyashree Ingale
, Hamza Shabir
, Tianyi Li
, Tian Shi
, Ping Wang
:
Event Detection Explorer: An Interactive Tool for Event Detection Exploration. IUI Companion 2023: 171-174- 2022
[j4]Tian Shi, Xuchao Zhang, Ping Wang, Chandan K. Reddy:
Corpus-level and Concept-based Explanations for Interpretable Document Classification. ACM Trans. Knowl. Discov. Data 16(3): 48:1-48:17 (2022)
[c6]Ping Wang, Tian Shi, Khushbu Agarwal, Sutanay Choudhury, Chandan K. Reddy:
Attention-based aspect reasoning for knowledge base question answering on clinical notes. BCB 2022: 10:1-10:6
[i9]Wenlong Zhang, Bhagyashree Ingale, Hamza Shabir, Tianyi Li, Tian Shi, Ping Wang:
Event Detection Explorer: An Interactive Tool for Event Detection Exploration. CoRR abs/2204.12456 (2022)- 2021
[j3]Tian Shi
, Yaser Keneshloo, Naren Ramakrishnan, Chandan K. Reddy:
Neural Abstractive Text Summarization with Sequence-to-Sequence Models. Trans. Data Sci. 2(1): 1:1-1:37 (2021)
[j2]Ping Wang
, Tian Shi
, Chandan K. Reddy
:
A Novel Tensor-Based Temporal Multi-Task Survival Analysis Model. IEEE Trans. Knowl. Data Eng. 33(9): 3311-3322 (2021)
[c5]Tian Shi, Liuqing Li, Ping Wang, Chandan K. Reddy:
A Simple and Effective Self-Supervised Contrastive Learning Framework for Aspect Detection. AAAI 2021: 13815-13824
[i8]Ping Wang, Tian Shi, Khushbu Agarwal, Sutanay Choudhury, Chandan K. Reddy:
Attention-based Aspect Reasoning for Knowledge Base Question Answering on Clinical Notes. CoRR abs/2108.00513 (2021)- 2020
[j1]Yaser Keneshloo
, Tian Shi
, Naren Ramakrishnan
, Chandan K. Reddy
:
Deep Reinforcement Learning for Sequence-to-Sequence Models. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2469-2489 (2020)
[c4]Ping Wang, Tian Shi, Chandan K. Reddy:
Text-to-SQL Generation for Question Answering on Electronic Medical Records. WWW 2020: 350-361
[i7]Tian Shi, Xuchao Zhang, Ping Wang, Chandan K. Reddy:
A Concept-based Abstraction-Aggregation Deep Neural Network for Interpretable Document Classification. CoRR abs/2004.13003 (2020)
[i6]Tian Shi, Liuqing Li, Ping Wang, Chandan K. Reddy:
A Simple and Effective Self-Supervised Contrastive Learning Framework for Aspect Detection. CoRR abs/2009.09107 (2020)
[i5]Tian Shi, Ping Wang, Chandan K. Reddy:
Deliberate Self-Attention Network with Uncertainty Estimation for Multi-Aspect Review Rating Prediction. CoRR abs/2009.09112 (2020)
2010 – 2019
- 2019
[c3]Tian Shi, Vineeth Rakesh, Suhang Wang
, Chandan K. Reddy:
Document-Level Multi-Aspect Sentiment Classification for Online Reviews of Medical Experts. CIKM 2019: 2723-2731
[c2]Tian Shi, Ping Wang, Chandan K. Reddy:
LeafNATS: An Open-Source Toolkit and Live Demo System for Neural Abstractive Text Summarization. NAACL-HLT (Demonstrations) 2019: 66-71
[i4]Tian Shi, Ping Wang, Chandan K. Reddy:
LeafNATS: An Open-Source Toolkit and Live Demo System for Neural Abstractive Text Summarization. CoRR abs/1906.01512 (2019)
[i3]Ping Wang, Tian Shi, Chandan K. Reddy:
A Translate-Edit Model for Natural Language Question to SQL Query Generation on Multi-relational Healthcare Data. CoRR abs/1908.01839 (2019)- 2018
[c1]Tian Shi, Kyeongpil Kang, Jaegul Choo
, Chandan K. Reddy
:
Short-Text Topic Modeling via Non-negative Matrix Factorization Enriched with Local Word-Context Correlations. WWW 2018: 1105-1114
[i2]Yaser Keneshloo, Tian Shi, Naren Ramakrishnan, Chandan K. Reddy:
Deep Reinforcement Learning For Sequence to Sequence Models. CoRR abs/1805.09461 (2018)
[i1]Tian Shi, Yaser Keneshloo, Naren Ramakrishnan, Chandan K. Reddy:
Neural Abstractive Text Summarization with Sequence-to-Sequence Models. CoRR abs/1812.02303 (2018)
Coauthor Index

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