Tao Li

ASTRA-Net: Anatomy-Specific Transfer and Representation Alignment for Drug-Induced Sleep Endoscopy Segmentation

Suhua Sun, Yuqiao Wang, Sheng Liu, Rui Fan, Jiajun Wang, Ruoyan Xu, et al.

Quantitative drug-induced sleep endoscopy (DISE) requires reliable airway boundaries at specific anatomical levels. Pixel-level DISE annotations are scarce, and manual contouring limits the scalability of quantitative assessment. To address this limitation, we developed ASTRA-Net…Read more

Surface Matrix Electrode Array-Guided Recurrent Laryngeal Nerve Mapping Without Nerve Exposure: A Rabbit Proof-of-Concept Pilot Study

Jiandi Wu, Wenqing Hu, Jie Hao, Tao Li, Fengwu Tan, Xiaohong Chen

Background: Precise recurrent laryngeal nerve (RLN) localization remains challenging in thyroid surgery, particularly in re-operative cases where peri-neural fibrosis distorts anatomy and limits conventional single-point neural monitoring. We aimed to design, optimize stimulation…Read more

Plasticizers and prostate cancer: unraveling the link through network toxicology and machine learning

Yiting Jiang, Jiang Shi, Shiwang Yuan, Jun Qiao, Yuan Tian, Peng Chen, et al.

Background Plasticizers, as widespread environmental endocrine disruptors, are increasingly linked to an elevated risk of prostate cancer (PCa). However, the specific molecular mechanisms by which they drive PCa initiation and progression remain incompletely elucidated. Addressin…Read more

Continuous-Time Decentralized Online Estimation With Additive Noises

Xiaozheng Fu, Yan Chen, Tao Li

We study a decentralized online estimation problem with additive communication noises over the fixed digraph. Each node has a linear measurement of an unknown parameter with random measurement matrices and runs a continuous-time online estimation algorithm. We transform the conve…Read more

Labimus: A Simulation and Benchmark for Humanoid Dexterous Manipulation in Chemical Laboratory

Yuhan Wu, Zhao Jin, Tao Li, Yuheng Zhang, Zhichao Wang, Shuo Wang, et al.

Laboratory automation has made remarkable progress through robotic platforms and AI-driven scientific reasoning. However, many laboratory operations (e.g., solid--solid transfer) remain inherently dynamic and require real-time adaptation to different materials and experimental co…Read more

Inpainting U-Net for seamless pedestrian-level wind prediction across urban morphologies

Jingzi Huang, Claire E. Heaney, Tao Li, Xinzhe Li, Graham O. Hughes, Maarten van Reeuwijk

Pedestrian-level wind prediction is essential for urban design and wind-comfort assessment, but high-fidelity simulations such as LES remain computationally expensive for rapid evaluation. This study develops a two-stage U-Net framework for efficient prediction of time-averaged p…Read more

Digital Twin-Enhanced Wireless Indoor Navigation: Achieving Efficient Environment Sensing With Zero-Shot Reinforcement Learning

Tao Li, Haozhe Lei, Hao Guo, Mingsheng Yin, Yaqi Hu, Quanyan Zhu, et al.

Machine learning for carbon dots: Capabilities, limitations, and the path toward rational design

Shudie Shen, Leilei Zhang, Linquan Gan, Tao Li, Wenli Zhao, Yanfei Wang, et al.