ATL: Autonomous Knowledge Transfer from Many Streaming Processes. - Mahardhika Pratama; Marcus de Carvalho; Renchunzi Xie; Edwin Lughofer; Jie Lu 001 (CIKM, 2019)

Open-set Label Noise Can Improve Robustness Against Inherent Label Noise. - Hongxin Wei; Lue Tao; Renchunzi Xie; Bo An 001 (NeurIPS, 2021)

GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation. - Renchunzi Xie; Hongxin Wei; Lei Feng 006; Bo An 001 (AAAI, 2022)

Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets. - Hongxin Wei; Lue Tao; Renchunzi Xie; Lei Feng 006; Bo An 001 (ICML, 2022)

Mitigating Neural Network Overconfidence with Logit Normalization. - Hongxin Wei; Renchunzi Xie; Hao Cheng 014; Lei Feng 006; Bo An 001; Yixuan Li 001 (ICML, 2022)

ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection. - Huiping Zhuang; Zhenyu Weng; Hongxin Wei; Renchunzi Xie; Kar-Ann Toh; Zhiping Lin 001 (NeurIPS, 2022)

ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection. - Huiping Zhuang; Zhenyu Weng; Renchunzi Xie; Kar-Ann Toh; Zhiping Lin 001 (CoRR, 2022)

Logit Clipping for Robust Learning against Label Noise. - Hongxin Wei; Huiping Zhuang; Renchunzi Xie; Lei Feng 006; Gang Niu 001; Bo An 001; Yixuan Li 001 (CoRR, 2022)

Automatic online multi-source domain adaptation. - Renchunzi Xie; Mahardhika Pratama (Inf. Sci., 2022)

Mitigating Memorization of Noisy Labels by Clipping the Model Prediction. - Hongxin Wei; Huiping Zhuang; Renchunzi Xie; Lei Feng 006; Gang Niu 001; Bo An 001; Yixuan Li 001 (ICML, 2023)

On the Importance of Feature Separability in Predicting Out-Of-Distribution Error. - Renchunzi Xie; Hongxin Wei; Lei Feng 006; Yuzhou Cao; Bo An 001 (NeurIPS, 2023)

Deep Learning From Multiple Noisy Annotators as A Union. - Hongxin Wei; Renchunzi Xie; Lei Feng 006; Bo Han 003; Bo An 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

MaNo: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts. - Renchunzi Xie; Ambroise Odonnat; Vasilii Feofanov; Weijian Deng; Jianfeng Zhang; Bo An 001 (NeurIPS, 2024)

Characterising Gradients for Unsupervised Accuracy Estimation under Distribution Shift. - Renchunzi Xie; Ambroise Odonnat; Vasilii Feofanov; Ievgen Redko; Jianfeng Zhang; Bo An 001 (CoRR, 2024)

Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift. - Renchunzi Xie; Ambroise Odonnat; Vasilii Feofanov; Ievgen Redko; Jianfeng Zhang; Bo An 001 (Trans. Mach. Learn. Res., 2025)