Zi-Hao Qiu @ LAMDA

Modified: 2014/08/25 22:19 by admin - Uncategorized
ImageChinese name
Zi-Hao Qiu (Z.-H. Qiu)

Ph.D. Student
Department of Computer Science
National Key Laboratory for Novel Software Technology
Nanjing University

Laboratory: 113, Building of Computer Science and Technology, Xianlin Campus of Nanjing University
email: qiuzh@lamda.nju.edu.cn

Currently I am a first year Ph.D. student of Department of Computer Science and Technology in Nanjing University and a member of LAMDA Group(LAMDA Publications), led by professor Zhi-Hua Zhou.



Professor Lijun Zhang.



  • After that, I admitted to study for a M.Sc. degree in Nanjing University without entrance examination.
  • From september 2021, I started my Ph.D. degree under the supervision of Professor Lijun Zhang.


Research Interest

I am interested in machine learning, data mining, and optimization.



  • Zi-Hao Qiu*, Quanqi Hu*, Yongjian Zhong, Lijun Zhang, and Tianbao Yang. Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence. In Proceedings of the 39th International Conference on Machine Learning (ICML '22), to appear, 2022. [paper] [code]
  • Zhuoning Yuan, Yuexin Wu, Zi-Hao Qiu, Xianzhi Du, Lijun Zhang, Denny Zhou, Tianbao Yang. Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance. In Proceedings of the 39th International Conference on Machine Learning (ICML’22), to appear, 2022.
  • Zi-Hao Qiu, Ying-Chun Jian, Qing-Guo Chen, and Lijun Zhang. Learning to Augment Imbalanced Data for Re-ranking Models. In Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM '21), pages 1478-1487, 2021.


Awards & Honors

  • Excellent Graduate of Nanjing University. Nanjing, 2019



  • I am a contributor of LibAUC , which is an open-source deep learning library for optimizing a wide spectrum of measures/losses. They can be organized into four categories: areas under the curves (e.g., AUROC, AUPRC), ranking meansures (e.g., mAP, NDCG), performance at the top (e.g., top-K variants of mAP and NDCG), and contrastive objectives.


Teaching Assistant

National Key Laboratory for Novel Software Technology, Nanjing University, Xianlin Campus, 163 Xianlin Avenue, Qixia District, Nanjing 210023, China
(In Chinese:) 南京市栖霞区仙林大道163号,软件新技术国家重点实验室,210023。

Last modified: 2022-06-24