Yuren Mao

According to our database, Yuren Mao authored at least 24 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Class-Imbalanced-Aware Distantly Supervised Named Entity Recognition.

Yuren Mao, Yu Hao, Weiwei Liu, Xuemin Lin, Xin Cao

IEEE Trans. Neural Networks Learn. Syst., September, 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

Proc. VLDB Endow., August, 2024

Dynamic Graph Embedding via Meta-Learning.

Yuren Mao, Yu Hao, Xin Cao, Yixiang Fang, Xuemin Lin, Hua Mao, Zhiqiang Xu

IEEE Trans. Knowl. Data Eng., July, 2024

FusionQuery: On-demand Fusion Queries over Multi-source Heterogeneous Data.

Junhao Zhu, Yuren Mao, Lu Chen, Congcong Ge, Ziheng Wei, Yunjun Gao

Proc. VLDB Endow., February, 2024

A Survey on LoRA of Large Language Models.

Yuren Mao, Yuhang Ge, Yijiang Fan, Wenyi Xu, Yu Mi, Zhonghao Hu, Yunjun Gao

CoRR, 2024

FIT-RAG: Black-Box RAG with Factual Information and Token Reduction.

Yuren Mao, Xuemei Dong, Wenyi Xu, Yunjun Gao, Bin Wei, Ying Zhang

CoRR, 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, Dongfang Lou, Jinshu Lin

Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

SparDL: Distributed Deep Learning Training with Efficient Sparse Communication.

Minjun Zhao, Yichen Yin, Yuren Mao, Qing Liu, Lu Chen, Yunjun Gao

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

MultiEM: Efficient and Effective Unsupervised Multi-Table Entity Matching.

Xiaocan Zeng, Pengfei Wang, Yuren Mao, Lu Chen, Xiaoze Liu, Yunjun Gao

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

Task Variance Regularized Multi-Task Learning.

Yuren Mao, Zekai Wang, Weiwei Liu, Xuemin Lin, Wenbin Hu

IEEE Trans. Knowl. Data Eng., August, 2023

C3: Zero-shot Text-to-SQL with ChatGPT.

Xuemei Dong, Chao Zhang, Yuhang Ge, Yuren Mao, Yunjun Gao, Lu Chen, Jinshu Lin, Dongfang Lou

CoRR, 2023

SparDL: Distributed Deep Learning Training with Efficient Sparse Communication.

Minjun Zhao, Yichen Yin, Yuren Mao, Lu Chen, Yunjun Gao

CoRR, 2023

Knowledge-refined Denoising Network for Robust Recommendation.

Xinjun Zhu, Yuntao Du, Yuren Mao, Lu Chen, Yujia Hu, Yunjun Gao

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

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

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Towards Explainable Table Interpretation Using Multi-view Explanations.

Yunjun Gao, Pengfei Wang, Xiaocan Zeng, Lu Chen, Yuren Mao, Ziheng Wei, Miao Li

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

PromptEM: Prompt-tuning for Low-resource Generalized Entity Matching.

Pengfei Wang, Xiaocan Zeng, Lu Chen, Fan Ye, Yuren Mao, Junhao Zhu, Yunjun Gao

Proc. VLDB Endow., 2022

SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning.

Haobo Wang, Mingxuan Xia, Yixuan Li, Yuren Mao, Lei Feng, Gang Chen, Junbo Zhao

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Less-forgetting Multi-lingual Fine-tuning.

Yuren Mao, Yaobo Liang, Nan Duan, Haobo Wang, Kai Wang, Lu Chen, Yunjun Gao

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

MetaWeighting: Learning to Weight Tasks in Multi-Task Learning.

Yuren Mao, Zekai Wang, Weiwei Liu, Xuemin Lin, Pengtao Xie

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Towards Improving Generalization of Multi-Task Learning.

Yuren Mao

PhD thesis, 2021

Robust Deep Multi-task Learning Framework for Cancer Survival Analysis.

Shuang Yun, Bo Du, Yuren Mao

Proceedings of the International Joint Conference on Neural Networks, 2021

BanditMTL: Bandit-based Multi-task Learning for Text Classification.

Yuren Mao, Zekai Wang, Weiwei Liu, Xuemin Lin, Wenbin Hu

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Adaptive Adversarial Multi-task Representation Learning.

Yuren Mao, Weiwei Liu, Xuemin Lin

Proceedings of the 37th International Conference on Machine Learning, 2020

Tchebycheff Procedure for Multi-task Text Classification.

Yuren Mao, Shuang Yun, Weiwei Liu, Bo Du

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020