Yuren Mao

Ph.D

Biography

I obtain my Ph.D defree from School of Computer Science and Engineering, University of New South Wales, Australia, , advised by Prof. Xuemin Lin. Before that, I have been an algorithm engineer of Alipay, ANT GROUP, during which time I have been the system owner of online Fu(福) character recognition for Alipay WuFu Spring Festival (新春五福) 2018. I received my M.S. degree from Zhejiang University in 2017.

Research Interest

Multi-task Learning and its applications, AI for DB.

Publication

Yuren Mao, Zekai Wang, Weiwei Liu, Xuemin Lin and Pengtao Xie. “MetaWeighting: Learning to Weight Tasks in Multi-Task Learning.” ACL 2022.

Yuren Mao, Zekai Wang, Weiwei Liu, Xuemin Lin and Wenbin Hu. “BanditMTL: Bandit-based Multi-task Learning for Text Classification.” ACL 2021.

Yuren Mao, Weiwei Liu, and Xuemin Lin. “Adaptive Adversarial Multi-task Representation Learning.” ICML 2020.

Yuren Mao, Shuang Yun, Weiwei Liu, and Bo Du. “Tchebycheff procedure for multi-task text classification.” ACL 2020.

Yuren Mao, Zekai Wang, Weiwei Liu, Xuemin Lin and Wenbin Hu. “Bandit-based Multi-Task Learning” (Submitted to TKDE).

Yuren Mao, Weiwei Liu, Xuemin Lin. “HyperMOO: Approaching Generalization Pareto Optimality for Multi-task Learning” (Submitted to TNNLS).

Academic Services

Reviewer for ICML (2021, 2022), NeurIPS (2021, 2022), ICLR (2021, 2022), ACL 2021, CVPR 2021, ICCV 2021, AAAI (2021, 2022).