Zhu, Dixian

8 publications

ICML 2025 Gradient Aligned Regression via Pairwise Losses Dixian Zhu, Tianbao Yang, Livnat Jerby

ICML 2023 Label Distributionally Robust Losses for Multi-Class Classification: Consistency, Robustness and Adaptivity Dixian Zhu, Yiming Ying, Tianbao Yang

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

ICML 2023 Provable Multi-Instance Deep AUC Maximization with Stochastic Pooling Dixian Zhu, Bokun Wang, Zhi Chen, Yaxing Wang, Milan Sonka, Xiaodong Wu, Tianbao Yang

ICML 2022 When AUC Meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee Dixian Zhu, Gang Li, Bokun Wang, Xiaodong Wu, Tianbao Yang

NeurIPSW 2021 A Unified DRO View of Multi-Class Loss Functions with Top-N Consistency Dixian Zhu, Tianbao Yang

AAAI 2020 Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval Dixian Zhu, Dongjin Song, Yuncong Chen, Cristian Lumezanu, Wei Cheng, Bo Zong, Jingchao Ni, Takehiko Mizoguchi, Tianbao Yang, Haifeng Chen

AISTATS 2019 A Robust Zero-Sum Game Framework for Pool-Based Active Learning Dixian Zhu, Zhe Li, Xiaoyu Wang, Boqing Gong, Tianbao Yang