| 2026 | ACL | Can We Predict Before Executing Machine Learning Agents? | Jingsheng Zheng, Jintian Zhang, Yujie Luo, Yuren Mao, Yunjun Gao, Lun Du, Huajun Chen, Ningyu Zhang |
| 2026 | ICDE | Snoopy: Effective and Efficient Semantic Join Discovery Via Proxy Columns (Extended Abstract). | Yuxiang Guo, Yuren Mao, Zhonghao Hu, Lu Chen, Yunjun Gao |
| 2026 | WWW | Unbiased Multimodal Reranking for Long-Tail Short-Video Search. | Wenyi Xu, Feiran Zhu, Songyang Li, Renzhe Zhou, Chao Zhang, Chenglei Dai, Yuren Mao, Yunjun Gao, Yi Zhang |
| 2025 | ICDE | KnowTrans: Boosting Transferability of Data Preparation LLMs via Knowledge Augmentation. | Yuhang Ge, Fengyu Li, Yuren Mao, Yanbo Yang, Congcong Ge, Zhaoqiang Chen, Jiang Long, Yunjun Gao |
| 2025 | ICDE | scRAG: an Efficient Retrieval Augmented Generation System for scRNA-seq Data Analysis. | Yuren Mao, Yifan Zhu, Qing Liu, Peigen Liu, Haoran Yu, Yunjun Gao |
| 2024 | ICDE | MultiEM: Efficient and Effective Unsupervised Multi-Table Entity Matching. | Xiaocan Zeng, Pengfei Wang, Yuren Mao, Lu Chen, Xiaoze Liu, Yunjun Gao |
| 2024 | ICDE | SparDL: Distributed Deep Learning Training with Efficient Sparse Communication. | Minjun Zhao, Yichen Yin, Yuren Mao, Qing Liu, Lu Chen, Yunjun Gao |
| 2024 | SIGMOD | FinSQL: Model-Agnostic LLMs-based Text-to-SQL Framework for Financial Analysis. | Chao Zhang, Yuren Mao, Yijiang Fan, Yu Mi, Yunjun Gao, Lu Chen, Dongfang Lou, Jinshu Lin |
| 2023 | ICDE | Towards Explainable Table Interpretation Using Multi-view Explanations. | Yunjun Gao, Pengfei Wang, Xiaocan Zeng, Lu Chen, Yuren Mao, Ziheng Wei, Miao Li |
| 2023 | KDD | CampER: An Effective Framework for Privacy-Aware Deep Entity Resolution. | Yuxiang Guo, Lu Chen, Zhengjie Zhou, Baihua Zheng, Ziquan Fang, Zhikun Zhang, Yuren Mao, Yunjun Gao |
| 2023 | SIGIR | Knowledge-refined Denoising Network for Robust Recommendation. | Xinjun Zhu, Yuntao Du, Yuren Mao, Lu Chen, Yujia Hu, Yunjun Gao |
| 2022 | ACL | MetaWeighting: Learning to Weight Tasks in Multi-Task Learning. | Yuren Mao, Zekai Wang, Weiwei Liu, Xuemin Lin, Pengtao Xie |
| 2021 | ACL | BanditMTL: Bandit-based Multi-task Learning for Text Classification. | Yuren Mao, Zekai Wang, Weiwei Liu, Xuemin Lin, Wenbin Hu |
| 2021 | IJCNN | Robust Deep Multi-task Learning Framework for Cancer Survival Analysis. | Shuang Yun, Bo Du, Yuren Mao |
| 2020 | ACL | Tchebycheff Procedure for Multi-task Text Classification. | Yuren Mao, Shuang Yun, Weiwei Liu, Bo Du |
| 2020 | ICML | Adaptive Adversarial Multi-task Representation Learning. | Yuren Mao, Weiwei Liu, Xuemin Lin |