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20222026
most citedEvidential Domain Adaptation for Remaining Useful Life Prediction with Incomplete Degradation

17 citations · 34 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2026★ 17 cited

Evidential Domain Adaptation for Remaining Useful Life Prediction with Incomplete Degradation

Yubo Hou, Mohamed Ragab, Yucheng Wang +5

Accurate Remaining Useful Life (RUL) prediction without labeled target domain data is a critical challenge, and domain adaptation (DA) has been widely adopted to address it by tran…

cs.CL2026

FlashMem: Distilling Intrinsic Latent Memory via Computation Reuse

Yubo Hou, Zhisheng Chen, Tao Wan +1

The stateless architecture of Large Language Models inherently lacks the mechanism to preserve dynamic context, compelling agents to redundantly reprocess history to maintain long-…

cs.AI2025★ 3 cited

Target-specific Adaptation and Consistent Degradation Alignment for Cross-Domain Remaining Useful Life Prediction

Yubo Hou, Mohamed Ragab, Min Wu +3

Accurate prediction of the Remaining Useful Life (RUL) in machinery can significantly diminish maintenance costs, enhance equipment up-time, and mitigate adverse outcomes. Data-dri…

cs.LG2025

Deep Domain Adaptation for Turbofan Engine Remaining Useful Life Prediction: Methodologies, Evaluation and Future Trends

Yucheng Wang, Mohamed Ragab, Yubo Hou +3

Remaining Useful Life (RUL) prediction for turbofan engines plays a vital role in predictive maintenance, ensuring operational safety and efficiency in aviation. Although data-driv…

cs.CV2022★ 14 cited

Adaptive Mean-Residue Loss for Robust Facial Age Estimation

Ziyuan Zhao, Peisheng Qian, Yubo Hou +1

Automated facial age estimation has diverse real-world applications in multimedia analysis, e.g., video surveillance, and human-computer interaction. However, due to the randomness…