Dixian Zhu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 16

Top Topics

Top Venues

Publications

Dixian Zhu, Livnat Jerby-Arnon
Function Aligned Regression: A Method Explicitly Learns Functional Derivatives from Data. CoRR (2024)
Dixian Zhu, Bokun Wang, Zhi Chen, Yaxing Wang, Milan Sonka, Xiaodong Wu, Tianbao Yang
Provable Multi-instance Deep AUC Maximization with Stochastic Pooling. CoRR (2023)
Quanqi Hu, Dixian Zhu, Tianbao Yang
Non-Smooth Weakly-Convex Finite-sum Coupled Compositional Optimization. CoRR (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)
Dixian Zhu, Bokun Wang, Zhi Chen, Yaxing Wang, Milan Sonka, Xiaodong Wu, Tianbao Yang
Provable Multi-instance Deep AUC Maximization with Stochastic Pooling. ICML (2023)
Quanqi Hu, Dixian Zhu, Tianbao Yang
Non-Smooth Weakly-Convex Finite-sum Coupled Compositional Optimization. NeurIPS (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)
Dixian Zhu, Yiming Ying, Tianbao Yang
Label Distributionally Robust Losses for Multi-class Classification: Consistency, Robustness and Adaptivity. ICML (2023)
Dixian Zhu, Gang Li, Bokun Wang, Xiaodong Wu, Tianbao Yang
When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee. CoRR (2022)
Dixian Zhu, Gang Li, Bokun Wang, Xiaodong Wu, Tianbao Yang
When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee. ICML (2022)
Dixian Zhu, Xiaodong Wu, Tianbao Yang
Benchmarking Deep AUROC Optimization: Loss Functions and Algorithmic Choices. CoRR (2022)
Dixian Zhu, Tianbao Yang
A Unified DRO View of Multi-class Loss Functions with top-N Consistency. CoRR (2021)
Dixian Zhu, Dongjin Song, Yuncong Chen, Cristian Lumezanu, Wei Cheng, Bo Zong, Jingchao Ni, Takehiko Mizoguchi, Tianbao Yang, Haifeng Chen
Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval. AAAI (2020)
Dixian Zhu, Zhe Li, Xiaoyu Wang, Boqing Gong, Tianbao Yang
A Robust Zero-Sum Game Framework for Pool-based Active Learning. AISTATS (2019)
Dixian Zhu, Changjie Cai, Tianbao Yang, Xun Zhou
A Machine Learning Approach for Air Quality Prediction: Model Regularization and Optimization. Big Data Cogn. Comput. 2 (1) (2018)
Bo Liu, Dixian Zhu, Yadong Wang
deBWT: parallel construction of Burrows-Wheeler Transform for large collection of genomes with de Bruijn-branch encoding. Bioinform. 32 (12) (2016)