Peng Cui

According to our database, Peng Cui authored at least 14 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

SDE-HNN: Accurate and Well-Calibrated Forecasting Using Stochastic Differential Equations.

Peng Cui, Zhijie Deng, Wenbo Hu, Jun Zhu

ACM Trans. Knowl. Discov. Data, February, 2025

Improving Accuracy and Calibration via Differentiated Deep Mutual Learning.

Han Liu, Peng Cui, Bingning Wang, Weipeng Chen, Yupeng Zhang, Jun Zhu, Xiaolin Hu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Exploring Aleatoric Uncertainty in Object Detection via Vision Foundation Models.

Peng Cui, Guande He, Dan Zhang, Zhijie Deng, Yinpeng Dong, Jun Zhu

CoRR, 2024

Accurate and Reliable Predictions with Mutual-Transport Ensemble.

Han Liu, Peng Cui, Bingning Wang, Jun Zhu, Xiaolin Hu

CoRR, 2024

2023

Heterogeneous multi-task Gaussian Cox processes.

Feng Zhou, Quyu Kong, Zhijie Deng, Fengxiang He, Peng Cui, Jun Zhu

Mach. Learn., December, 2023

Deep Ensembles Meets Quantile Regression: Uncertainty-aware Imputation for Time Series.

Ying Liu, Peng Cui, Wenbo Hu, Richang Hong

CoRR, 2023

Investigating Uncertainty Calibration of Aligned Language Models under the Multiple-Choice Setting.

Guande He, Peng Cui, Jianfei Chen, Wenbo Hu, Jun Zhu

CoRR, 2023

Towards Accelerated Model Training via Bayesian Data Selection.

Zhijie Deng, Peng Cui, Jun Zhu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Sample Difficulty from Pre-trained Models for Reliable Prediction.

Peng Cui, Dan Zhang, Zhijie Deng, Yinpeng Dong, Jun Zhu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Neural Eigenfunctions Are Structured Representation Learners.

Zhijie Deng, Jiaxin Shi, Hao Zhang, Peng Cui, Cewu Lu, Jun Zhu

CoRR, 2022

Confidence-based Reliable Learning under Dual Noises.

Peng Cui, Yang Yue, Zhijie Deng, Jun Zhu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Accurate and Reliable Forecasting using Stochastic Differential Equations.

Peng Cui, Zhijie Deng, Wenbo Hu, Jun Zhu

CoRR, 2021

2020

Calibrated Reliable Regression using Maximum Mean Discrepancy.

Peng Cui, Wenbo Hu, Jun Zhu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2018

Guest Editorial: Query understanding.

Liqiang Nie, Richang Hong, Peng Cui

Neurocomputing, 2018