Hu, Quanqi

10 publications

TMLR 2026 Single-Loop Algorithms for Stochastic Non-Convex Optimization with Weakly-Convex Constraints Ming Yang, Gang Li, Quanqi Hu, Qihang Lin, Tianbao Yang

TMLR 2025 Learning to Rank with Top-$k$ Fairness Boyang Zhang, Quanqi Hu, Mingxuan Sun, Qihang Lin, Tianbao Yang

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

NeurIPS 2024 Single-Loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions Quanqi Hu, Qi Qi, Zhaosong Lu, Tianbao Yang

NeurIPSW 2024 Synthetic Multimodal Data Generation and Training Optimization for Computed Tomography Cardiac Imaging Applications Masaki Ikuta, Quanqi Hu, Ashok Vardhan Addala, Ravi Soni, Avinash Gopal

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

NeurIPS 2023 Non-Smooth Weakly-Convex Finite-Sum Coupled Compositional Optimization Quanqi Hu, Dixian Zhu, 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

NeurIPS 2022 Multi-Block Min-Max Bilevel Optimization with Applications in Multi-Task Deep AUC Maximization Quanqi Hu, Yongjian Zhong, Tianbao Yang