Tian Shi - RankMe

21 papers A* 3A 1Journal 13Unranked 4

Year	Rank	Type	Title / Venue / Authors
2023	—	`conf`	Event Detection Explorer: An Interactive Tool for Event Detection Exploration. IUI Companion Wenlong Zhang, Bhagyashree Ingale, Hamza Shabir, Tianyi Li, Tian Shi, Ping Wang
2023	—	`conf`	Text-to-ESQ: A Two-Stage Controllable Approach for Efficient Retrieval of Vaccine Adverse Events from NoSQL Database. BCB Wenlong Zhang, Kangping Zeng, Xinming Yang, Tian Shi, Ping Wang
2022	—	`conf`	Attention-based aspect reasoning for knowledge base question answering on clinical notes. BCB Ping Wang, Tian Shi, Khushbu Agarwal, Sutanay Choudhury, Chandan K. Reddy
2022	J	`jnl`	Corpus-level and Concept-based Explanations for Interpretable Document Classification. ACM Trans. Knowl. Discov. Data Tian Shi, Xuchao Zhang, Ping Wang, Chandan K. Reddy
2022	J	`jnl`	Event Detection Explorer: An Interactive Tool for Event Detection Exploration. CoRR Wenlong Zhang, Bhagyashree Ingale, Hamza Shabir, Tianyi Li, Tian Shi, Ping Wang
2021	J	`jnl`	A Novel Tensor-Based Temporal Multi-Task Survival Analysis Model. IEEE Trans. Knowl. Data Eng. Ping Wang, Tian Shi, Chandan K. Reddy
2021	A*	`conf`	A Simple and Effective Self-Supervised Contrastive Learning Framework for Aspect Detection. AAAI Tian Shi, Liuqing Li, Ping Wang, Chandan K. Reddy
2021	J	`jnl`	Attention-based Aspect Reasoning for Knowledge Base Question Answering on Clinical Notes. CoRR Ping Wang, Tian Shi, Khushbu Agarwal, Sutanay Choudhury, Chandan K. Reddy
2021	J	`jnl`	Neural Abstractive Text Summarization with Sequence-to-Sequence Models. Trans. Data Sci. Tian Shi, Yaser Keneshloo, Naren Ramakrishnan, Chandan K. Reddy
2020	J	`jnl`	A Concept-based Abstraction-Aggregation Deep Neural Network for Interpretable Document Classification. CoRR Tian Shi, Xuchao Zhang, Ping Wang, Chandan K. Reddy
2020	J	`jnl`	A Simple and Effective Self-Supervised Contrastive Learning Framework for Aspect Detection. CoRR Tian Shi, Liuqing Li, Ping Wang, Chandan K. Reddy
2020	J	`jnl`	Deep Reinforcement Learning for Sequence-to-Sequence Models. IEEE Trans. Neural Networks Learn. Syst. Yaser Keneshloo, Tian Shi, Naren Ramakrishnan, Chandan K. Reddy
2020	J	`jnl`	Deliberate Self-Attention Network with Uncertainty Estimation for Multi-Aspect Review Rating Prediction. CoRR Tian Shi, Ping Wang, Chandan K. Reddy
2020	A*	`conf`	Text-to-SQL Generation for Question Answering on Electronic Medical Records. WWW Ping Wang, Tian Shi, Chandan K. Reddy
2019	J	`jnl`	A Translate-Edit Model for Natural Language Question to SQL Query Generation on Multi-relational Healthcare Data. CoRR Ping Wang, Tian Shi, Chandan K. Reddy
2019	A	`conf`	Document-Level Multi-Aspect Sentiment Classification for Online Reviews of Medical Experts. CIKM Tian Shi, Vineeth Rakesh, Suhang Wang, Chandan K. Reddy
2019	—	`conf`	LeafNATS: An Open-Source Toolkit and Live Demo System for Neural Abstractive Text Summarization. NAACL-HLT (Demonstrations) Tian Shi, Ping Wang, Chandan K. Reddy
2019	J	`jnl`	LeafNATS: An Open-Source Toolkit and Live Demo System for Neural Abstractive Text Summarization. CoRR Tian Shi, Ping Wang, Chandan K. Reddy
2018	J	`jnl`	Deep Reinforcement Learning For Sequence to Sequence Models. CoRR Yaser Keneshloo, Tian Shi, Naren Ramakrishnan, Chandan K. Reddy
2018	J	`jnl`	Neural Abstractive Text Summarization with Sequence-to-Sequence Models. CoRR Tian Shi, Yaser Keneshloo, Naren Ramakrishnan, Chandan K. Reddy
2018	A*	`conf`	Short-Text Topic Modeling via Non-negative Matrix Factorization Enriched with Local Word-Context Correlations. WWW Tian Shi, Kyeongpil Kang, Jaegul Choo, Chandan K. Reddy