| 2025 | IROS | Power Balance-Based Recursive Composite Learning Robot Control With Reduced Computational Burden. | Tian Shi, Yuejiang Zhu, Weibing Li, Yongping Pan |
| 2024 | INDIN | Composite Learning Cartesian Impedance Control Under Uncertain Robot Dynamics. | Yongping Pan, Kaiwei Ling, Tian Shi, Weibing Li |
| 2024 | ICRA | Efficient Composite Learning Robot Control Under Partial Interval Excitation. | Tian Shi, Weibing Li, Haoyong Yu, Yongping Pan |
| 2023 | IUI | Event Detection Explorer: An Interactive Tool for Event Detection Exploration. | Wenlong Zhang, Bhagyashree Ingale, Hamza Shabir, Tianyi Li, Tian Shi, Ping Wang |
| 2021 | AAAI | A Simple and Effective Self-Supervised Contrastive Learning Framework for Aspect Detection. | Tian Shi, Liuqing Li, Ping Wang, Chandan K. Reddy |
| 2020 | WWW | Text-to-SQL Generation for Question Answering on Electronic Medical Records. | Ping Wang, Tian Shi, Chandan K. Reddy |
| 2019 | CIKM | Document-Level Multi-Aspect Sentiment Classification for Online Reviews of Medical Experts. | Tian Shi, Vineeth Rakesh, Suhang Wang, Chandan K. Reddy |
| 2019 | ICONIP | Interactive Semantic Features Selection from Reviews for Recommendation. | Tian Shi, Bofeng Zhang, Ying Lv, Zhuocheng Zhou, Furong Chang |
| 2019 | ICONIP | Data Augment in Imbalanced Learning Based on Generative Adversarial Networks. | Zhuocheng Zhou, Bofeng Zhang, Ying Lv, Tian Shi, Furong Chang |
| 2019 | NAACL | LeafNATS: An Open-Source Toolkit and Live Demo System for Neural Abstractive Text Summarization. | Tian Shi, Ping Wang, Chandan K. Reddy |
| 2018 | WWW | Short-Text Topic Modeling via Non-negative Matrix Factorization Enriched with Local Word-Context Correlations. | Tian Shi, Kyeongpil Kang, Jaegul Choo, Chandan K. Reddy |