Peng Cui - RankMe

22 papers A* 5Journal 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Guideline-Grounded Evidence Accumulation for High-Stakes Agent Verification. CoRR Yichi Zhang, Nabeel Seedat, Yinpeng Dong, Peng Cui, Jun Zhu, Mihaela van der Schaar
2026	J	`jnl`	Neural Eigenfunctions are Structured Representation Learners. IEEE Trans. Pattern Anal. Mach. Intell. Zhijie Deng, Jiaxin Shi, Hao Zhang, Peng Cui, Cewu Lu, Jun Zhu
2025	J	`jnl`	Deep sub-ensembles meets quantile regression: uncertainty-aware imputation for time series. Mach. Learn. Ying Liu, Peng Cui, Wenbo Hu, Richang Hong
2025	A*	`conf`	Improving Accuracy and Calibration via Differentiated Deep Mutual Learning. CVPR Han Liu, Peng Cui, Bingning Wang, Weipeng Chen, Yupeng Zhang, Jun Zhu, Xiaolin Hu
2025	J	`jnl`	SDE-HNN: Accurate and Well-Calibrated Forecasting Using Stochastic Differential Equations. ACM Trans. Knowl. Discov. Data Peng Cui, Zhijie Deng, Wenbo Hu, Jun Zhu
2024	J	`jnl`	Accurate and Reliable Predictions with Mutual-Transport Ensemble. CoRR Han Liu, Peng Cui, Bingning Wang, Jun Zhu, Xiaolin Hu
2024	J	`jnl`	Exploring Aleatoric Uncertainty in Object Detection via Vision Foundation Models. CoRR Peng Cui, Guande He, Dan Zhang, Zhijie Deng, Yinpeng Dong, Jun Zhu
2023	J	`jnl`	Confidence-based Reliable Learning under Dual Noises. CoRR Peng Cui, Yang Yue, Zhijie Deng, Jun Zhu
2023	J	`jnl`	Deep Ensembles Meets Quantile Regression: Uncertainty-aware Imputation for Time Series. CoRR Ying Liu, Peng Cui, Wenbo Hu, Richang Hong
2023	J	`jnl`	Heterogeneous Multi-Task Gaussian Cox Processes. CoRR Feng Zhou, Quyu Kong, Zhijie Deng, Fengxiang He, Peng Cui, Jun Zhu
2023	J	`jnl`	Heterogeneous multi-task Gaussian Cox processes. Mach. Learn. Feng Zhou, Quyu Kong, Zhijie Deng, Fengxiang He, Peng Cui, Jun Zhu
2023	J	`jnl`	Investigating Uncertainty Calibration of Aligned Language Models under the Multiple-Choice Setting. CoRR Guande He, Peng Cui, Jianfei Chen, Wenbo Hu, Jun Zhu
2023	A*	`conf`	Learning Sample Difficulty from Pre-trained Models for Reliable Prediction. NeurIPS Peng Cui, Dan Zhang, Zhijie Deng, Yinpeng Dong, Jun Zhu
2023	J	`jnl`	Learning Sample Difficulty from Pre-trained Models for Reliable Prediction. CoRR Peng Cui, Dan Zhang, Zhijie Deng, Yinpeng Dong, Jun Zhu
2023	A*	`conf`	Towards Accelerated Model Training via Bayesian Data Selection. NeurIPS Zhijie Deng, Peng Cui, Jun Zhu
2023	J	`jnl`	Towards Accelerated Model Training via Bayesian Data Selection. CoRR Zhijie Deng, Peng Cui, Jun Zhu
2022	A*	`conf`	Confidence-based Reliable Learning under Dual Noises. NeurIPS Peng Cui, Yang Yue, Zhijie Deng, Jun Zhu
2022	J	`jnl`	Neural Eigenfunctions Are Structured Representation Learners. CoRR Zhijie Deng, Jiaxin Shi, Hao Zhang, Peng Cui, Cewu Lu, Jun Zhu
2021	J	`jnl`	Accurate and Reliable Forecasting using Stochastic Differential Equations. CoRR Peng Cui, Zhijie Deng, Wenbo Hu, Jun Zhu
2020	A*	`conf`	Calibrated Reliable Regression using Maximum Mean Discrepancy. NeurIPS Peng Cui, Wenbo Hu, Jun Zhu
2020	J	`jnl`	Calibrated Reliable Regression using Maximum Mean Discrepancy. CoRR Peng Cui, Wenbo Hu, Jun Zhu
2018	J	`jnl`	Guest Editorial: Query understanding. Neurocomputing Liqiang Nie, Richang Hong, Peng Cui