Latest News
Early access IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.
Our paper "AUC-Oriented Domain Adaptation: From Theory to Algorithm" is accepted by TPAMI 2023!
Early access IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.
Our paper "Revisiting AUC-oriented Adversarial Training with Loss-Agnostic Perturbations" is accepted by TPAMI 2023!
Early access IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.
Our paper "Optimizing Two-way Partial AUC with an End-to-end Framework" is accepted by TPAMI 2022!
Accepted International Conference on Machine Learning, 2022.
Our paper "AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems" is accepted by ICML 2022!
Accepted IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.
Our paper "Rethinking Collaborative Metric Learning: Toward an Efficient Alternative without Negative Sampling" is accepted by TPAMI 2021!
Accepted IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.
Our paper "Learning with Multiclass AUC: Theory and Algorithms" is accepted by TPAMI 2021!
Oral International Conference on Machine Learning, 2021.
Our paper "When All We Need is a Piece of the Pie: A Generic Framework for Optimizing Two-way Partial AUC" is accepted by ICML 2021!
Poster Neural Information Processing Systems, 2021.
Our paper "When False Positive is Intolerant: End-to-End Optimization with Low FPR for Multipartite Ranking" is accepted by NIPS 2021!
Accepted IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019.
Our paper " Learning personalized attribute preference via multi-task AUC optimization" is accepted by TPAMI 2019!