Contact

  • Academic
    linkaili@stanford.edu
    University - Student Department: Electrical Engineering Position: Graduate

Additional Info

All Publications

  • No Audiogram: Leveraging Existing Scores for Personalized Speech Intelligibility Prediction Zhou, H., Mo, C., Cao, B., Li, L., Wang, S., Int Speech Commun Assoc ISCA-INT SPEECH COMMUNICATION ASSOC. 2025: 5468-5472

    View details for DOI 10.21437/Interspeech.2025-1599

    View details for Web of Science ID 001613931400520

  • AECRN: A Unified Neural-Network for Improving Hearing Aid Speech Enhancement Cao, B., Li, L., Mo, C., Zhou, H., Wang, S., IEEE IEEE. 2025

    View details for DOI 10.1109/SiPS66314.2025.11261312

    View details for Web of Science ID 001816053900067

  • Low-power, low-cost urinalysis system with integrated dipstick evaluation and microscopic analysis. Lab on a chip Smith, G. T., Li, L., Zhu, Y., Bowden, A. K. 2018

    Abstract

    We introduce a coupled dipstick and microscopy device for analyzing urine samples. The device is capable of accurately assessing urine dipstick results while simultaneously imaging the microscopic contents within the sample. We introduce a long working distance, cellphone-based microscope in combination with an oblique illumination scheme to accurately visualize and quantify particles within the urine sample. To facilitate accurate quantification, we couple the imaging set-up with a power-free filtration system. The proposed device is reusable, low-cost, and requires very little power. We show that results obtained with the proposed device and custom-built app are consistent with those obtained with the standard clinical protocol, suggesting the potential clinical utility of the device.

    View details for PubMedID 29926053

https://orcid.org/0000-0001-6531-3305