Guest Editorial: Query understanding. - Liqiang Nie; Richang Hong; Peng Cui 007 (Neurocomputing, 2018)

Calibrated Reliable Regression using Maximum Mean Discrepancy. - Peng Cui 007; Wenbo Hu 001; Jun Zhu 001 (NeurIPS, 2020)

Accurate and Reliable Forecasting using Stochastic Differential Equations. - Peng Cui 007; Zhijie Deng; Wenbo Hu 001; Jun Zhu 001 (CoRR, 2021)

Confidence-based Reliable Learning under Dual Noises. - Peng Cui 007; Yang Yue; Zhijie Deng; Jun Zhu 001 (NeurIPS, 2022)

Neural Eigenfunctions Are Structured Representation Learners. - Zhijie Deng; Jiaxin Shi; Hao Zhang; Peng Cui 007; Cewu Lu; Jun Zhu 001 (CoRR, 2022)

Learning Sample Difficulty from Pre-trained Models for Reliable Prediction. - Peng Cui 007; Dan Zhang; Zhijie Deng; Yinpeng Dong; Jun Zhu 001 (NeurIPS, 2023)

Towards Accelerated Model Training via Bayesian Data Selection. - Zhijie Deng; Peng Cui 007; Jun Zhu 001 (NeurIPS, 2023)

Investigating Uncertainty Calibration of Aligned Language Models under the Multiple-Choice Setting. - Guande He; Peng Cui 007; Jianfei Chen 001; Wenbo Hu 001; Jun Zhu 001 (CoRR, 2023)

Deep Ensembles Meets Quantile Regression: Uncertainty-aware Imputation for Time Series. - Ying Liu; Peng Cui 007; Wenbo Hu 001; Richang Hong (CoRR, 2023)

Heterogeneous multi-task Gaussian Cox processes. - Feng Zhou 011; Quyu Kong; Zhijie Deng; Fengxiang He; Peng Cui 007; Jun Zhu 001 (Mach. Learn., 2023)

Accurate and Reliable Predictions with Mutual-Transport Ensemble. - Han Liu; Peng Cui 007; Bingning Wang; Jun Zhu 001; Xiaolin Hu 001 (CoRR, 2024)

Exploring Aleatoric Uncertainty in Object Detection via Vision Foundation Models. - Peng Cui 007; Guande He; Dan Zhang; Zhijie Deng; Yinpeng Dong; Jun Zhu 001 (CoRR, 2024)

Improving Accuracy and Calibration via Differentiated Deep Mutual Learning. - Han Liu; Peng Cui 007; Bingning Wang; Weipeng Chen; Yupeng Zhang; Jun Zhu 001; Xiaolin Hu 001 (CVPR, 2025)

SDE-HNN: Accurate and Well-Calibrated Forecasting Using Stochastic Differential Equations. - Peng Cui 007; Zhijie Deng; Wenbo Hu 001; Jun Zhu 001 (ACM Trans. Knowl. Discov. Data, 2025)