Yi Sheng
Orcid: 0000-0002-4652-805X
According to our database1,
Yi Sheng
authored at least 19 papers
between 2021 and 2024.
Collaborative distances:
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Bibliography
2024
Image Hash Layer Triggered CNN Framework for Wafer Map Failure Pattern Retrieval and Classification.
ACM Trans. Knowl. Discov. Data, May, 2024
2023
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2023
Comput. Syst. Sci. Eng., 2023
Muffin: A Framework Toward Multi-Dimension AI Fairness by Uniting Off-the-Shelf Models.
CoRR, 2023
Fast and Fair Medical AI on the Edge Through Neural Architecture Search for Hybrid Vision Models.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023
Late Breaking Results: Fast Fair Medical Applications? Hybrid Vision Models Achieve the Fairness on the Edge.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023
Muffin: A Framework Toward Multi-Dimension AI Fairness by Uniting Off-the-Shelf Models.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023
Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023
2022
Federated Self-Supervised Contrastive Learning and Masked Autoencoder for Dermatological Disease Diagnosis.
CoRR, 2022
Federated Contrastive Learning for Dermatological Disease Diagnosis via On-device Learning.
CoRR, 2022
CoRR, 2022
Hardware-aware Automated Architecture Search for Brain-inspired Hyperdimensional Computing.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2022
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022
2021
Competitive influence maximization considering inactive nodes and community homophily.
Knowl. Based Syst., 2021
Federated Contrastive Learning for Dermatological Disease Diagnosis via On-device Learning (Invited Paper).
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021
FL-DISCO: Federated Generative Adversarial Network for Graph-based Molecule Drug Discovery: Special Session Paper.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021