All Stories

  1. Data-Efficient Psychiatric Disorder Detection via Self-supervised Learning on Frequency-enhanced Brain Networks

    Article • ACM Transactions on Computing for Healthcare, September 2025, ACM (Association for Computing Machinery)

    Ting Dang

  2. SQUIREDL: Sparse Sequence-to-Sequence Uncertainty Estimation in Evidential Deep Learning

    Article • ACM Transactions on Computing for Healthcare, March 2025, ACM (Association for Computing Machinery)

    Ting Dang

  3. StatioCL : Contrastive Learning for Time Series via Non-Stationary and Temporal Contrast

    Article • October 2024, ACM (Association for Computing Machinery)

    Ting Dang, Hong Jia

  4. Exploring Large-Scale Language Models to Evaluate EEG-Based Multimodal Data for Mental Health

    Article • October 2024, ACM (Association for Computing Machinery)

    Ting Dang, Hong Jia, Shuning Zhang

  5. OptiBreathe: An Earable-based PPG System for Continuous Respiration Rate, Breathing Phase, and Tidal Volume Monitoring

    Article • February 2024, ACM (Association for Computing Machinery)

    Ting Dang

  6. ClearSpeech

    Article • Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, December 2023, ACM (Association for Computing Machinery)

    Ting Dang

  7. Unobtrusive Air Leakage Estimation for Earables with In-ear Microphones

    Article • Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, December 2023, ACM (Association for Computing Machinery)

    Ting Dang

  8. WellComp 2023: Sixth International Workshop on Computing for Well-Being

    Article • October 2023, ACM (Association for Computing Machinery)

    Shkurta Gashi, Ting Dang

  9. Lightweight and Non-Invasive User Authentication on Earables

    Article • February 2023, ACM (Association for Computing Machinery)

    Ting Dang