Zi-Hao Qiu

According to our database, Zi-Hao Qiu authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

To Cool or not to Cool? Temperature Network Meets Large Foundation Models via DRO.

Zi-Hao Qiu, Siqi Guo, Mao Xu, Tuo Zhao, Lijun Zhang, Tianbao Yang

CoRR, 2024

2023

LibAUC: A Deep Learning Library for X-Risk Optimization.

Zhuoning Yuan, Dixian Zhu, Zi-Hao Qiu, Gang Li, Xuanhui Wang, Tianbao Yang

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

Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization.

Zi-Hao Qiu, Quanqi Hu, Zhuoning Yuan, Denny Zhou, Lijun Zhang, Tianbao Yang

Proceedings of the International Conference on Machine Learning, 2023

Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization.

Quanqi Hu, Zi-Hao Qiu, Zhishuai Guo, Lijun Zhang, Tianbao Yang

Proceedings of the International Conference on Machine Learning, 2023

2022

Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance.

Zhuoning Yuan, Yuexin Wu, Zi-Hao Qiu, Xianzhi Du, Lijun Zhang, Denny Zhou, Tianbao Yang

Proceedings of the International Conference on Machine Learning, 2022

Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence.

Zi-Hao Qiu, Quanqi Hu, Yongjian Zhong, Lijun Zhang, Tianbao Yang

Proceedings of the International Conference on Machine Learning, 2022

2021

Learning to Augment Imbalanced Data for Re-ranking Models.

Zi-Hao Qiu, Ying-Chun Jian, Qing-Guo Chen, Lijun Zhang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021