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ORCIDDixian Zhu
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2020 – today
- 2024
[i7]Dixian Zhu
, Livnat Jerby:
Function Aligned Regression: A Method Explicitly Learns Functional Derivatives from Data. CoRR abs/2402.06104 (2024)- 2023
- [c7]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: 43205-43227 - [c6]Dixian Zhu, Yiming Ying, Tianbao Yang:
Label Distributionally Robust Losses for Multi-class Classification: Consistency, Robustness and Adaptivity. ICML 2023: 43289-43325 - [c5]Zhuoning Yuan, Dixian Zhu, Zi-Hao Qiu, Gang Li, Xuanhui Wang, Tianbao Yang:
LibAUC: A Deep Learning Library for X-Risk Optimization. KDD 2023: 5487-5499 - [c4]Quanqi Hu, Dixian Zhu, Tianbao Yang:
Non-Smooth Weakly-Convex Finite-sum Coupled Compositional Optimization. NeurIPS 2023 - [i6]Dixian Zhu, Bokun Wang, Zhi Chen, Yaxing Wang, Milan Sonka, Xiaodong Wu, Tianbao Yang:
Provable Multi-instance Deep AUC Maximization with Stochastic Pooling. CoRR abs/2305.08040 (2023) - [i5]Zhuoning Yuan, Dixian Zhu, Zi-Hao Qiu, Gang Li, Xuanhui Wang, Tianbao Yang:
LibAUC: A Deep Learning Library for X-Risk Optimization. CoRR abs/2306.03065 (2023) - [i4]Quanqi Hu, Dixian Zhu, Tianbao Yang:
Non-Smooth Weakly-Convex Finite-sum Coupled Compositional Optimization. CoRR abs/2310.03234 (2023) - 2022
- [c3]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: 27548-27573 - [i3]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 abs/2203.00176 (2022) - [i2]Dixian Zhu, Xiaodong Wu, Tianbao Yang:
Benchmarking Deep AUROC Optimization: Loss Functions and Algorithmic Choices. CoRR abs/2203.14177 (2022) - 2021
- [i1]Dixian Zhu, Tianbao Yang:
A Unified DRO View of Multi-class Loss Functions with top-N Consistency. CoRR abs/2112.14869 (2021) - 2020
- [c2]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: 1403-1411
2010 – 2019
- 2019
- [c1]Dixian Zhu, Zhe Li, Xiaoyu Wang, Boqing Gong, Tianbao Yang:
A Robust Zero-Sum Game Framework for Pool-based Active Learning. AISTATS 2019: 517-526 - 2018
- [j2]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): 5 (2018) - 2016
- [j1]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): 174-182 (2016)
Coauthor Index
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