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Publications
Valid and Efficient Uncertainty Quantification for Federated Joint Shift (UAI2026).
Yuanjie Shi, Peihong Li, Xuanyu Cao, Yan Yan.
Conformal Margin Risk Minimization: An Envelope Framework for Robust Learning under Label Noise (AISTATS 2026).
Yuanjie Shi, Peihong Li, Zijian Zhang, Jana Doppa, Yan Yan.
Thesis Proposal: Uncertainty as Adaptive Control: From Selection to Curriculum via Conformal Calibration (ACL-SRW 2026).
Peihong Li, Yan Yan
An Industrial Process Monitoring Method Based on Entropy Projection Transformation Analysis (IEEE Transactions on Instrumentation and Measurement 2022).
Yinghua Yang; Qingyan Kong; Zhipeng Chao; Peihong Li; Xiaozhi Liu.
Remaining Useful Life Prognostics of Bearings Based on a Novel Spatial Graph-Temporal Convolution Network (Sensors 2021).
Peihong Li, Xiaozhi Liu, Yinghua Yang.
Remaining Useful Life Prognostics Based on Deep Combined Temporal Bidirectional Convolutional Network (CCDC 2021).
Xiaozhi Liu, Peihong Li, Yinghua Yang
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