Tchebycheff Procedure for Multi-task Text Classification. - Yuren Mao; Shuang Yun; Weiwei Liu 003; Bo Du 001 (ACL, 2020)

Adaptive Adversarial Multi-task Representation Learning. - Yuren Mao; Weiwei Liu 003; Xuemin Lin 001 (ICML, 2020)

BanditMTL: Bandit-based Multi-task Learning for Text Classification. - Yuren Mao; Zekai Wang; Weiwei Liu 003; Xuemin Lin 001; Wenbin Hu 001 (ACL/IJCNLP (1), 2021)

Robust Deep Multi-task Learning Framework for Cancer Survival Analysis. - Shuang Yun; Bo Du 001; Yuren Mao (IJCNN, 2021)

Towards Improving Generalization of Multi-Task Learning. - Yuren Mao (2021)

MetaWeighting: Learning to Weight Tasks in Multi-Task Learning. - Yuren Mao; Zekai Wang; Weiwei Liu 003; Xuemin Lin 001; Pengtao Xie (ACL (Findings), 2022)

Less-forgetting Multi-lingual Fine-tuning. - Yuren Mao; Yaobo Liang; Nan Duan; Haobo Wang 001; Kai Wang; Lu Chen 001; Yunjun Gao (NeurIPS, 2022)

SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning. - Haobo Wang 001; Mingxuan Xia; Yixuan Li 001; Yuren Mao; Lei Feng 006; Gang Chen 001; Junbo Zhao 002 (NeurIPS, 2022)

PromptEM: Prompt-tuning for Low-resource Generalized Entity Matching. - Pengfei Wang; Xiaocan Zeng; Lu Chen 001; Fan Ye; Yuren Mao; Junhao Zhu 001; Yunjun Gao (Proc. VLDB Endow., 2022)

Towards Explainable Table Interpretation Using Multi-view Explanations. - Yunjun Gao; Pengfei Wang; Xiaocan Zeng; Lu Chen 001; Yuren Mao; Ziheng Wei; Miao Li (ICDE, 2023)

CampER: An Effective Framework for Privacy-Aware Deep Entity Resolution. - Yuxiang Guo 003; Lu Chen 001; Zhengjie Zhou; Baihua Zheng; Ziquan Fang; Zhikun Zhang 001; Yuren Mao; Yunjun Gao (KDD, 2023)

Knowledge-refined Denoising Network for Robust Recommendation. - Xinjun Zhu; Yuntao Du 002; Yuren Mao; Lu Chen 001; Yujia Hu; Yunjun Gao (SIGIR, 2023)

SparDL: Distributed Deep Learning Training with Efficient Sparse Communication. - Minjun Zhao; Yichen Yin; Yuren Mao; Lu Chen 001; Yunjun Gao (CoRR, 2023)

C3: Zero-shot Text-to-SQL with ChatGPT. - Xuemei Dong; Chao Zhang; Yuhang Ge; Yuren Mao; Yunjun Gao; Lu Chen 001; Jinshu Lin; Dongfang Lou (CoRR, 2023)

Task Variance Regularized Multi-Task Learning. - Yuren Mao; Zekai Wang; Weiwei Liu 003; Xuemin Lin 001; Wenbin Hu 001 (IEEE Trans. Knowl. Data Eng., 2023)

MultiEM: Efficient and Effective Unsupervised Multi-Table Entity Matching. - Xiaocan Zeng; Pengfei Wang; Yuren Mao; Lu Chen 001; Xiaoze Liu; Yunjun Gao (ICDE, 2024)

SparDL: Distributed Deep Learning Training with Efficient Sparse Communication. - Minjun Zhao; Yichen Yin; Yuren Mao; Qing Liu 008; Lu Chen 001; Yunjun Gao (ICDE, 2024)

FinSQL: Model-Agnostic LLMs-based Text-to-SQL Framework for Financial Analysis. - Chao Zhang; Yuren Mao; Yijiang Fan; Yu Mi; Yunjun Gao; Lu Chen 001; Dongfang Lou; Jinshu Lin (SIGMOD Conference Companion, 2024)

FusionQuery: On-demand Fusion Queries over Multi-source Heterogeneous Data. - Junhao Zhu 001; Yuren Mao; Lu Chen 001; Congcong Ge; Ziheng Wei; Yunjun Gao (Proc. VLDB Endow., 2024)

Dynamic Graph Embedding via Meta-Learning. - Yuren Mao; Yu Hao 003; Xin Cao 001; Yixiang Fang; Xuemin Lin 001; Hua Mao; Zhiqiang Xu 003 (IEEE Trans. Knowl. Data Eng., 2024)

UniView: A Unified Autonomous Materialized View Management System for Various Databases. - Zhenrong Xu; Pengfei Wang; Guoze Xue; Qitong Yan; Shenghao Gong; Yelan Jiang; Yuren Mao; Yunjun Gao; Shu Shen; Wei Zhang; Dan Luo; Lu Chen 001 (Proc. VLDB Endow., 2024)

Class-Imbalanced-Aware Distantly Supervised Named Entity Recognition. - Yuren Mao; Yu Hao 003; Weiwei Liu 003; Xuemin Lin 001; Xin Cao 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

LEAP: A Low-cost Spark SQL Query Optimizer using Pairwise Comparison. - Junhao Ye; Jiahui Li; Lu Chen 001; Yuren Mao; Yunjun Gao; Tianyi Li 005 (Proc. VLDB Endow., 2024)

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 (ICDE, 2025)

scRAG: an Efficient Retrieval Augmented Generation System for scRNA-seq Data Analysis. - Yuren Mao; Yifan Zhu 002; Qing Liu 008; Peigen Liu; Haoran Yu; Yunjun Gao (ICDE, 2025)

G-Boost: Boosting Private SLMs with General LLMs. - Yijiang Fan; Yuren Mao; Longbin Lai; Ying Zhang 001; Zhengping Qian; Yunjun Gao (CoRR, 2025)

DAgent: A Relational Database-Driven Data Analysis Report Generation Agent. - Wenyi Xu; Yuren Mao; Xiaolu Zhang; Chao Zhang; Xuemei Dong; Mengfei Zhang; Yunjun Gao (CoRR, 2025)

BIRDIE: Natural Language-Driven Table Discovery Using Differentiable Search Index. - Yuxiang Guo 003; Zhonghao Hu; Yuren Mao; Baihua Zheng; Yunjun Gao; Mingwei Zhou (Proc. VLDB Endow., 2025)

FIT-RAG: Black-Box RAG with Factual Information and Token Reduction. - Yuren Mao; Xuemei Dong; Wenyi Xu; Yunjun Gao; Bin Wei 006; Ying Zhang 001 (ACM Trans. Inf. Syst., 2025)

scAgent: Universal Single-Cell Annotation via a LLM Agent. - Yuren Mao; Yu Mi; Peigen Liu; Mengfei Zhang; Hanqing Liu; Yunjun Gao (CoRR, 2025)

SQL-Factory: A Multi-Agent Framework for High-Quality and Large-Scale SQL Generation. - Jiahui Li; Tongwang Wu; Yuren Mao; Yunjun Gao; Yajie Feng; Huaizhong Liu (CoRR, 2025)

Boosting GNN-Based Link Prediction via PU-AUC Optimization. - Yuren Mao; Yu Hao 003; Xin Cao 001; Yunjun Gao; Chang Yao; Xuemin Lin 001 (IEEE Trans. Knowl. Data Eng., 2025)

Text-to-Pipeline: Bridging Natural Language and Data Preparation Pipelines. - Yuhang Ge; Yachuan Liu; Yuren Mao; Yunjun Gao (CoRR, 2025)

CT-Agent: A Multimodal-LLM Agent for 3D CT Radiology Question Answering. - Yuren Mao; Wenyi Xu; Yuyang Qin; Yunjun Gao (CoRR, 2025)

Snoopy: Effective and Efficient Semantic Join Discovery via Proxy Columns. - Yuxiang Guo 003; Yuren Mao; Zhonghao Hu; Lu Chen 001; Yunjun Gao (IEEE Trans. Knowl. Data Eng., 2025)

LOFTune: A Low-Overhead and Flexible Approach for Spark SQL Configuration Tuning. - Jiahui Li; Junhao Ye; Yuren Mao; Yunjun Gao; Lu Chen 001 (IEEE Trans. Knowl. Data Eng., 2025)

A survey on LoRA of large language models. - Yuren Mao; Yuhang Ge; Yijiang Fan; Wenyi Xu; Yu Mi; Zhonghao Hu; Yunjun Gao (Frontiers Comput. Sci., 2025)