Qiu, Zi-Hao

6 publications

MLJ 2025 Optimal Large-Scale Stochastic Optimization of NDCG Surrogates for Deep Learning Zi-Hao Qiu, Quanqi Hu, Yongjian Zhong, Wei-Wei Tu, Lijun Zhang, Tianbao Yang

ICML 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

ICML 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

ICML 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

ICML 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

ICML 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