deBWT: parallel construction of Burrows-Wheeler Transform for large collection of genomes with de Bruijn-branch encoding. - Bo Liu 023; Dixian Zhu; Yadong Wang 001 (Bioinform., 2016)

A Machine Learning Approach for Air Quality Prediction: Model Regularization and Optimization. - Dixian Zhu; Changjie Cai; Tianbao Yang; Xun Zhou 001 (Big Data Cogn. Comput., 2018)

A Robust Zero-Sum Game Framework for Pool-based Active Learning. - Dixian Zhu; Zhe Li 008; Xiaoyu Wang 002; Boqing Gong; Tianbao Yang (AISTATS, 2019)

Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval. - Dixian Zhu; Dongjin Song; Yuncong Chen; Cristian Lumezanu; Wei Cheng 002; Bo Zong; Jingchao Ni; Takehiko Mizoguchi; Tianbao Yang; Haifeng Chen (AAAI, 2020)

A Unified DRO View of Multi-class Loss Functions with top-N Consistency. - Dixian Zhu; Tianbao Yang (CoRR, 2021)

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 (ICML, 2022)

Benchmarking Deep AUROC Optimization: Loss Functions and Algorithmic Choices. - Dixian Zhu; Xiaodong Wu; Tianbao Yang (CoRR, 2022)

Provable Multi-instance Deep AUC Maximization with Stochastic Pooling. - Dixian Zhu; Bokun Wang; Zhi Chen 025; Yaxing Wang; Milan Sonka; Xiaodong Wu 001; Tianbao Yang (ICML, 2023)

Label Distributionally Robust Losses for Multi-class Classification: Consistency, Robustness and Adaptivity. - Dixian Zhu; Yiming Ying; Tianbao Yang (ICML, 2023)

LibAUC: A Deep Learning Library for X-Risk Optimization. - Zhuoning Yuan; Dixian Zhu; Zi-Hao Qiu; Gang Li; Xuanhui Wang; Tianbao Yang (KDD, 2023)

Non-Smooth Weakly-Convex Finite-sum Coupled Compositional Optimization. - Quanqi Hu; Dixian Zhu; Tianbao Yang (NeurIPS, 2023)

Function Aligned Regression: A Method Explicitly Learns Functional Derivatives from Data. - Dixian Zhu; Livnat Jerby (CoRR, 2024)