Dixian Zhu

According to our database, Dixian Zhu authored at least 12 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Function Aligned Regression: A Method Explicitly Learns Functional Derivatives from Data.

Dixian Zhu, Livnat Jerby

CoRR, 2024

2023

Non-Smooth Weakly-Convex Finite-sum Coupled Compositional Optimization.

Quanqi Hu, Dixian Zhu, Tianbao Yang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

LibAUC: A Deep Learning Library for X-Risk Optimization.

Zhuoning Yuan, Dixian Zhu, Zi-Hao Qiu, Gang Li, Xuanhui Wang, Tianbao Yang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Label Distributionally Robust Losses for Multi-class Classification: Consistency, Robustness and Adaptivity.

Dixian Zhu, Yiming Ying, Tianbao Yang

Proceedings of the International Conference on Machine Learning, 2023

Provable Multi-instance Deep AUC Maximization with Stochastic Pooling.

Dixian Zhu, Bokun Wang, Zhi Chen, Yaxing Wang, Milan Sonka, Xiaodong Wu, Tianbao Yang

Proceedings of the International Conference on Machine Learning, 2023

2022

Benchmarking Deep AUROC Optimization: Loss Functions and Algorithmic Choices.

Dixian Zhu, Xiaodong Wu, Tianbao Yang

CoRR, 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

Proceedings of the International Conference on Machine Learning, 2022

2021

A Unified DRO View of Multi-class Loss Functions with top-N Consistency.

Dixian Zhu, Tianbao Yang

CoRR, 2021

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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

A Robust Zero-Sum Game Framework for Pool-based Active Learning.

Dixian Zhu, Zhe Li, Xiaoyu Wang, Boqing Gong, Tianbao Yang

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

A Machine Learning Approach for Air Quality Prediction: Model Regularization and Optimization.

Dixian Zhu, Changjie Cai, Tianbao Yang, Xun Zhou

Big Data Cogn. Comput., 2018

2016

deBWT: parallel construction of Burrows-Wheeler Transform for large collection of genomes with de Bruijn-branch encoding.

Bo Liu, Dixian Zhu, Yadong Wang

Bioinform., 2016