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Dive into the research topics where Ao Li is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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MTS-LOF: Medical Time-Series Representation Learning via Occlusion-Invariant Features
Li, H., Carreon-Rascon, A. S., Chen, X., Yuan, G. & Li, A., Feb 2026, In: IEEE Journal of Biomedical and Health Informatics. 30, 2, p. 958-969 12 p.Research output: Contribution to journal › Article › peer-review
Open Access7 Link opens in a new tab Scopus citations -
Multimodal cardiovascular risk profiling using self-supervised learning of polysomnography
He, Z., Li, H., Yuan, G., Killgore, W. D. S., Quan, S. F., Chen, C. X. & Li, A., Apr 2026, In: Sleep. 49, 4Research output: Contribution to journal › Article › peer-review
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A Comparative Study of Structured and Narrative EHR Data for 30-Day Readmission Risk Assessment
He, Z., Li, H., Tian, S., Wen, J., Yuan, G. & Li, A., Oct 2025, In: Electronics (Switzerland). 14, 20, 4033.Research output: Contribution to journal › Article › peer-review
Open Access -
A Computation and Energy Efficient Hardware Architecture for SSL Acceleration
Ji, H., Li, S., Cao, Y., Ding, C., Xu, J., Tan, Q., Liu, J., Li, A., Tang, X., Zheng, L., Yuan, G. & Zou, Z., Mar 4 2025, ASP-DAC 2025 - 30th Asia and South Pacific Design Automation Conference, Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 23-29 7 p. (Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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MUTUAL EFFORT FOR EFFICIENCY: A SIMILARITY-BASED TOKEN PRUNING FOR VISION TRANSFORMERS IN SELF-SUPERVISED LEARNING
Li, S., Tan, Q., Dai, Y., Kong, Z., Wang, T., Liu, J., Li, A., Liu, N., Ding, Y., Tang, X. & Yuan, G., 2025, 13th International Conference on Learning Representations, ICLR 2025. International Conference on Learning Representations, ICLR, p. 40063-40080 18 p. (13th International Conference on Learning Representations, ICLR 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
2 Link opens in a new tab Scopus citations