| 2026 | ASPLOS | LOOPRAG: Enhancing Loop Transformation Optimization with Retrieval-Augmented Large Language Models. | Yijie Zhi, Yayu Cao, Jianhua Dai, Xiaoyang Han, Jingwen Pu, Qinran Wu, Sheng Cheng, Ming Cai |
| 2025 | ACL | Mitigating Demonstration Bias through Global Coevolutionary Reasoning. | Chuan Gou, Bangwei Li, Jianhua Dai, Xiaoyang Han, Ming Cai |
| 2024 | ACL | CoELM: Construction-Enhanced Language Modeling. | Lvxiaowei Xu, Zhilin Gong, Jianhua Dai, Tianxiang Wang, Ming Cai, Jiawei Peng |
| 2024 | ICML | CasCast: Skillful High-resolution Precipitation Nowcasting via Cascaded Modelling. | Junchao Gong, Lei Bai, Peng Ye, Wanghan Xu, Na Liu, Jianhua Dai, Xiaokang Yang, Wanli Ouyang |
| 2019 | ICANN | Joint Dictionary Learning for Unsupervised Feature Selection. | Yang Fan, Jianhua Dai, Qilai Zhang, Shuai Liu |
| 2019 | ICONIP | Unsupervised Feature Selection Based on Matrix Factorization with Redundancy Minimization. | Yang Fan, Jianhua Dai, Siqi Xu |
| 2019 | ICONIP | Geometric Mean Metric Learning for Label Distribution Learning. | Yansheng Zhai, Jianhua Dai |
| 2019 | IJCNN | Latent Space Embedding for Unsupervised Feature Selection via Joint Dictionary Learning. | Yang Fan, Jianhua Dai, Qilai Zhang |
| 2019 | IJCNN | Label Distribution Feature Selection Based on Mutual Information in Fuzzy Rough Set Theory. | Yingyao Wang, Jianhua Dai |
| 2018 | AAAI | Unsupervised Representation Learning With Long-Term Dynamics for Skeleton Based Action Recognition. | Nenggan Zheng, Jun Wen, Risheng Liu, Liangqu Long, Jianhua Dai, Zhefeng Gong |
| 2018 | ICONIP | Dynamic Maintenance of Decision Rules for Decision Attribute Values' Changing. | Yingyao Wang, Jianhua Dai, Hong Shi |
| 2018 | ICONIP | Label Distribution Learning Based on Ensemble Neural Networks. | Yansheng Zhai, Jianhua Dai, Hong Shi |
| 2018 | ICONIP | Feature Selection Based on Fuzzy Conditional Distinction Degree. | Qilai Zhang, Jianhua Dai |
| 2018 | ICPR | Discernibility Matrix-Based Ensemble Learning. | Shuaichao Gao, Jianhua Dai, Hong Shi |
| 2018 | ICPR | Semi-supervised Feature Selection by Mutual Information Based on Kernel Density Estimation. | Siqi Xu, Jianhua Dai, Hong Shi |
| 2018 | IJCNN | Semi-supervised Feature Selection Based on Least Square Regression with Redundancy Minimization. | Siqi Xu, Jianhua Dai, Hong Shi |
| 2018 | IJCNN | Cluster Structure Preserving Based on Dictionary Pair for Unsupervised Feature Selection. | Qilai Zhang, Jianhua Dai |
| 2009 | GRC | Rough 3-valued Lukasiewicz algebras and BCI-algebras. | Jianhua Dai |
| 2008 | GRC | Algebraic Method for Granular Computing. | Jianhua Dai |
| 2008 | GRC | Analysis of Neuronal Ensembles Encoding Model in Invasive Brain-computer Interface Study using Radial-Basis-Function Networks. | Jianhua Dai, Xiaochun Liu, Shaomin Zhang, Huaijian Zhang, Yu Yi, Qingbo Wang, Yu Su, Weidong Chen, Xiaoxiang Zheng |
| 2007 | GRC | Study on the Axis Problem of Rough 3-Valued Algebras. | Jianhua Dai |
| 2005 | GRC | Sequent calculus system for rough sets based on rough Stone algebras. | Jianhua Dai, Weidong Chen, Yunhe Pan |