Publications

Sheng,Yi, Junhuan Yang, Jinyang Li, James Alaina, Xiaowei Xu, Yiyu Shi, Jingtong Hu, Weiwen Jiang, Lei Yang (2024). Data-Algorithm-Architecture Co-Optimization for Fair Neural Networks on Skin Lesion Dataset. In MICCAI 2024.

Sheng,Yi, Hanchen Wang, Yipei Liu, Junhuan Yang, Weiwen Jiang, Youzuo Lin, Lei Yang (2024). APS-USCT: Ultrasound Computed Tomography on Sparse Data via AI-Physic Synergy. In MICCAI 2024.

Sheng,Yi, Junhuan Yang, Youzuo Lin, Weiwen Jiang, Lei Yang (2024). Toward Fair Ultrasound Computing Tomography: Challenges, Solutions and Outlook. In GLSVLSI ’24.

Changdi Yang, Sheng,Yi, Peiyan Dong, Zhenglun Kong, Yanyu Li, Pinrui Yu, Lei Yang, Xue Lin, Yanzhi Wang (2023). Fast and Fair Medical AI on the Edge Through Neural Architecture Search for Hybrid Vision Models . In ICCAD 2023.

Sheng,Yi, Junhuan Yang, Lei Yang, Yiyu Shi, Jingtong Hu, Yanzhi Wang (2023). Muffin: A Framework Toward Multi-Dimension AI Fairness by Uniting Off-the-Shelf Models. In DAC 23.

Changdi Yang, Sheng,Yi, Peiyan Dong, Zhenglun Kong, Yanyu Li, Pinrui Yu, Lei Yang, Xue Lin (2023). Late Breaking Results: Fast Fair Medical Applications? Hybrid Vision Models Achieve the Fairness on the Edge. In DAC 23.

Sheng,Yi, Junhuan Yang, Weiwen Jiang, Lei Yang (2023). Toward Fair and Efficient Hyperdimensional Computing. In ASP-DAC 2023.

Sheng,Yi, Junhuan Yang, Yawen Wu, Kevin Mao, Yiyu Shi, Jingtong Hu, Weiwen Jiang, Lei Yang (2022). The Larger The Fairer? Small Neural Networks Can Achieve Fairness for Edge Devices. In DAC 2022.