Dixian Zhu - RankMe

17 papers A* 7A 1Journal 9

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Gradient Aligned Regression via Pairwise Losses. ICML Dixian Zhu, Tianbao Yang, Livnat Jerby
2024	J	`jnl`	Function Aligned Regression: A Method Explicitly Learns Functional Derivatives from Data. CoRR Dixian Zhu, Livnat Jerby
2023	A*	`conf`	Label Distributionally Robust Losses for Multi-class Classification: Consistency, Robustness and Adaptivity. ICML Dixian Zhu, Yiming Ying, Tianbao Yang
2023	A*	`conf`	LibAUC: A Deep Learning Library for X-Risk Optimization. KDD Zhuoning Yuan, Dixian Zhu, Zi-Hao Qiu, Gang Li, Xuanhui Wang, Tianbao Yang
2023	J	`jnl`	LibAUC: A Deep Learning Library for X-Risk Optimization. CoRR Zhuoning Yuan, Dixian Zhu, Zi-Hao Qiu, Gang Li, Xuanhui Wang, Tianbao Yang
2023	A*	`conf`	Non-Smooth Weakly-Convex Finite-sum Coupled Compositional Optimization. NeurIPS Quanqi Hu, Dixian Zhu, Tianbao Yang
2023	J	`jnl`	Non-Smooth Weakly-Convex Finite-sum Coupled Compositional Optimization. CoRR Quanqi Hu, Dixian Zhu, Tianbao Yang
2023	A*	`conf`	Provable Multi-instance Deep AUC Maximization with Stochastic Pooling. ICML Dixian Zhu, Bokun Wang, Zhi Chen, Yaxing Wang, Milan Sonka, Xiaodong Wu, Tianbao Yang
2023	J	`jnl`	Provable Multi-instance Deep AUC Maximization with Stochastic Pooling. CoRR Dixian Zhu, Bokun Wang, Zhi Chen, Yaxing Wang, Milan Sonka, Xiaodong Wu, Tianbao Yang
2022	J	`jnl`	Benchmarking Deep AUROC Optimization: Loss Functions and Algorithmic Choices. CoRR Dixian Zhu, Xiaodong Wu, Tianbao Yang
2022	A*	`conf`	When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee. ICML Dixian Zhu, Gang Li, Bokun Wang, Xiaodong Wu, Tianbao Yang
2022	J	`jnl`	When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee. CoRR Dixian Zhu, Gang Li, Bokun Wang, Xiaodong Wu, Tianbao Yang
2021	J	`jnl`	A Unified DRO View of Multi-class Loss Functions with top-N Consistency. CoRR Dixian Zhu, Tianbao Yang
2020	A*	`conf`	Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval. AAAI Dixian Zhu, Dongjin Song, Yuncong Chen, Cristian Lumezanu, Wei Cheng, Bo Zong, Jingchao Ni, Takehiko Mizoguchi, Tianbao Yang, Haifeng Chen
2019	A	`conf`	A Robust Zero-Sum Game Framework for Pool-based Active Learning. AISTATS Dixian Zhu, Zhe Li, Xiaoyu Wang, Boqing Gong, Tianbao Yang
2018	J	`jnl`	A Machine Learning Approach for Air Quality Prediction: Model Regularization and Optimization. Big Data Cogn. Comput. Dixian Zhu, Changjie Cai, Tianbao Yang, Xun Zhou
2016	J	`jnl`	deBWT: parallel construction of Burrows-Wheeler Transform for large collection of genomes with de Bruijn-branch encoding. Bioinform. Bo Liu, Dixian Zhu, Yadong Wang