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Zi-Hao Qiu
ORCID
Publication Activity (10 Years)
Years Active: 2021-2024
Publications (10 Years): 11
Top Topics
Deep Learning
Weakly Supervised
Stochastic Optimization
Multistage
Top Venues
CoRR
ICML
KDD
CIKM
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Publications
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Zi-Hao Qiu
,
Siqi Guo
,
Mao Xu
,
Tuo Zhao
,
Lijun Zhang
,
Tianbao Yang
To Cool or not to Cool? Temperature Network Meets Large Foundation Models via DRO.
CoRR
(2024)
Zi-Hao Qiu
,
Quanqi Hu
,
Zhuoning Yuan
,
Denny Zhou
,
Lijun Zhang
,
Tianbao Yang
Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization.
CoRR
(2023)
Quanqi Hu
,
Zi-Hao Qiu
,
Zhishuai Guo
,
Lijun Zhang
,
Tianbao Yang
Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization.
ICML
(2023)
Zhuoning Yuan
,
Dixian Zhu
,
Zi-Hao Qiu
,
Gang Li
,
Xuanhui Wang
,
Tianbao Yang
LibAUC: A Deep Learning Library for X-Risk Optimization.
KDD
(2023)
Zi-Hao Qiu
,
Quanqi Hu
,
Zhuoning Yuan
,
Denny Zhou
,
Lijun Zhang
,
Tianbao Yang
Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization.
ICML
(2023)
Zhuoning Yuan
,
Dixian Zhu
,
Zi-Hao Qiu
,
Gang Li
,
Xuanhui Wang
,
Tianbao Yang
LibAUC: A Deep Learning Library for X-Risk Optimization.
CoRR
(2023)
Quanqi Hu
,
Zi-Hao Qiu
,
Zhishuai Guo
,
Lijun Zhang
,
Tianbao Yang
Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization.
CoRR
(2023)
Zi-Hao Qiu
,
Quanqi Hu
,
Yongjian Zhong
,
Lijun Zhang
,
Tianbao Yang
Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence.
CoRR
(2022)
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.
ICML
(2022)
Zi-Hao Qiu
,
Quanqi Hu
,
Yongjian Zhong
,
Lijun Zhang
,
Tianbao Yang
Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence.
ICML
(2022)
Zi-Hao Qiu
,
Ying-Chun Jian
,
Qing-Guo Chen
,
Lijun Zhang
Learning to Augment Imbalanced Data for Re-ranking Models.
CIKM
(2021)