Areas of Focus
- Large Model Retrieval-Augmented Generation
- LLMs for Datalake Management
Work Experience
- 2018 - Alipay - Subsystem Leader for the Alipay New Year's Five Blessings project
- Previous roles at Alipay, Microsoft Asia Research Institute, Intel Asia-Pacific R&D Center
Academic Background & Achievements
- PhD: Not mentioned
- Vice Director at the Institute of Complex Systems and Data Engineering, Zhejiang University
Publications
- Dynamic Graph Embedding via Meta-Learning, Yuren Mao, Yu Hao, Xin Cao, Yixiang Fang, Xuemin Lin, Hua Mao, Zhiqiang Xu
- Knowledge-refined Denoising Network for Robust Recommendation, Xinjun Zhu, Yuntao Du, Yuren Mao, Lu Chen, Yujia Hu, Yunjun Gao, 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, 2023
- Less-forgetting Multi-lingual Fine-tuning, Yuren Mao, Yaobo Liang, Nan Duan, Haobo Wang, Kai Wang, Lu Chen, Yunjun Gao, 2022
- SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning, Haobo Wang, Mingxuan Xia, Yixuan Li, Yuren Mao, Lei Feng, Gang Chen, Junbo Zhao, 2022
- Task Variance Regularized Multi-Task Learning, Yuren Mao, Zekai Wang, Weiwei Liu, Xuemin Lin, Wenbin Hu
- Class-Imbalanced-Aware Distantly Supervised Named Entity Recognition, Yuren Mao, Yu Hao, Weiwei Liu, Xuemin Lin, Xin Cao
- PromptEM: Prompt-tuning for Low-resource Generalized Entity Matching, Pengfei Wang, Xiaocan Zeng, Lu Chen, Fan Ye, Yuren Mao, Junhao Zhu, Yunjun Gao, 2023
- MetaWeighting: Learning to Weight Tasks in Multi-Task Learning, Yuren Mao, Zekai Wang, Weiwei Liu, Xuemin Lin, Pengtao Xie, 2022
- BanditMTL: Bandit-based Multi-task Learning for Text Classification, Yuren Mao, Zekai Wang, Weiwei Liu, Xuemin Lin, Wenbin Hu, 2021
- Tchebycheff Procedure for Multi-task Text Classification, Yuren Mao, Shuang Yun, Weiwei Liu, Bo Du, 2020
- Adaptive Adversarial Multi-task Representation Learning, Yuren Mao, Weiwei Liu, Xuemin Lin, 2020
