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Tianyu Shi

4 papers indexed

arxivcs.LGcs.AI2026-07-19

Physics-Guided Masked Multi-Task Network for Edge-Friendly Battery Health Diagnostics from Sto-chastically Fragmented Charging Profiles

Shuhao Chen, Tianyu Shi, Chengyi Tu

The deployment of reliable lithium-ion battery management systems is crucial for accelerating electrification, yet the joint prognosis of State of Health (SOH) and Remaining Useful Life (RUL) remains severely hindered by task heteroscedasticity. Conventional multi-task learning f…

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arxivcs.LGcs.AI2026-07-19

Dynamic Loss Balancing for Joint SOH and RUL Prediction of Lithium-Ion Batteries via a Rotary SOH-Injected Prior Battery Transformer

Shuhao Chen, Tianyu Shi, Yiwen Huang, Chengyi Tu

The deployment of reliable lithium-ion battery management systems is crucial for accelerating electrification, yet the joint prognosis of State of Health (SOH) and Remaining Useful Life (RUL) remains severely hindered by task heteroscedasticity. Conventional multi-task learning f…

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arxivcs.MAcs.AIcs.CL2026-07-17

CoWeaver: A Bi-directional, Learnable and Explainable Matching Engine for Mixed Human-Agent Science Collaboration

Jiayao Gu, Kexin Chu, Peidong Liu, Yue Yang, Lynn Ai, Qi Zhang, et al.

LLM-based agents excel at writing articles, coding and information retrieval. However, they fail to form strong collaborations within the scientific community due to the bidirectional, dynamic nature of the problem and a high demand of decision interpretability. We proposed COWEA…

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arxivcs.CV2026-07-06

Displacement Preserving Relational Distillation for Robust Medical Segmentation

Zhicheng Ding, Xinyu Chu, Jung Im Choi, Qing Tian, Tianyu Shi, Xiaoqian Jiang, et al.

Accurate 3D medical segmentation is limited by anatomical variability and high computational costs. While knowledge distillation (KD) offers a route for model compression, conventional methods often fail to preserve complex structures and are overwhelmed by background noise. We p…

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