Yi Sheng

According to our database, Yi Sheng authored at least 23 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset.

Junhuan Yang, Yuzhou Zhang, Yi Sheng, Youzuo Lin, Lei Yang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

A Physics-guided Generative AI Toolkit for Geophysical Monitoring.

Junhuan Yang, Hanchen Wang, Yi Sheng, Youzuo Lin, Lei Yang

CoRR, 2024

APS-USCT: Ultrasound Computed Tomography on Sparse Data via AI-Physic Synergy.

Yi Sheng, Hanchen Wang, Yipei Liu, Junhuan Yang, Weiwen Jiang, Youzuo Lin, Lei Yang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

TrojFair: Trojan Fairness Attacks.

Jiaqi Xue, Mengxin Zheng, Yi Sheng, Lei Yang, Qian Lou, Lei Jiang

Proceedings of the 1st ACM Workshop on Large AI Systems and Models with Privacy and Safety Analysis, 2024

PristiQ: A Co-Design Framework for Preserving Data Security of Quantum Learning in the Cloud.

Zhepeng Wang, Yi Sheng, Nirajan Koirala, Kanad Basu, Taeho Jung, Cheng-Chang Lu, Weiwen Jiang

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2024

Poster Abstract: Neural Architecture Sizing for Autonomous Systems.

Shengjie Xu, Clara Hobbs, Yukai Song, Bineet Ghosh, Sharmin Aktar, Lei Yang, Yi Sheng, Weiwen Jiang, Jingtong Hu, Parasara Sridhar Duggirala, Samarjit Chakraborty

Proceedings of the 15th ACM/IEEE International Conference on Cyber-Physical Systems, 2024

GPU Partitioning & Neural Architecture Sizing for Safety-Driven Sensing in Autonomous Systems.

Shengjie Xu, Clara Hobbs, Yukai Song, Bineet Ghosh, Tingan Zhu, Sharmin Aktar, Lei Yang, Yi Sheng, Weiwen Jiang, Jingtong Hu, Parasara Sridhar Duggirala, Samarjit Chakraborty

Proceedings of the International Conference on Assured Autonomy, 2024

Enhanced AI for Science using Diffusion-based Generative AI - A Case Study on Ultrasound Computing Tomography.

Junhuan Yang, Yi Sheng, Yuzhou Zhang, Hanchen Wang, Youzuo Lin, Lei Yang

Proceedings of the Great Lakes Symposium on VLSI 2024, 2024

Toward Fair Ultrasound Computing Tomography: Challenges, Solutions and Outlook.

Yi Sheng, Junhuan Yang, Youzuo Lin, Weiwen Jiang, Lei Yang

Proceedings of the Great Lakes Symposium on VLSI 2024, 2024

EdGeo: A Physics-guided Generative AI Toolkit for Geophysical Monitoring on Edge Devices.

Junhuan Yang, Hanchen Wang, Yi Sheng, Youzuo Lin, Lei Yang

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

Tutorial on Novel Toolkits toward AI for Science on Resource-Constrained Computing Systems.

Yi Sheng, Junhuan Yang, Hanchen Wang, Yinan Feng, Yinpeng Chen, Xiaolong Guo, Youzuo Lin, Weiwen Jiang, Lei Yang

Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis, 2024

2023

Fast and Fair Medical AI on the Edge Through Neural Architecture Search for Hybrid Vision Models.

Changdi Yang, Yi Sheng, Peiyan Dong, Zhenglun Kong, Yanyu Li, Pinrui Yu, Lei Yang, Xue Lin, Yanzhi Wang

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

On-Device Unsupervised Image Segmentation.

Junhuan Yang, Yi Sheng, Yuzhou Zhang, Weiwen Jiang, Lei Yang

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.

Changdi Yang, Yi Sheng, Peiyan Dong, Zhenglun Kong, Yanyu Li, Pinrui Yu, Lei Yang, Xue Lin

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Muffin: A Framework Toward Multi-Dimension AI Fairness by Uniting Off-the-Shelf Models.

Yi Sheng, Junhuan Yang, Lei Yang, Yiyu Shi, Jingtong Hu, Weiwen Jiang

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Toward Fair and Efficient Hyperdimensional Computing.

Yi Sheng, Junhuan Yang, Weiwen Jiang, Lei Yang

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.

Yawen Wu, Dewen Zeng, Zhepeng Wang, Yi Sheng, Lei Yang, Alaina J. James, Yiyu Shi, Jingtong Hu

CoRR, 2022

Federated Contrastive Learning for Dermatological Disease Diagnosis via On-device Learning.

Yawen Wu, Dewen Zeng, Zhepeng Wang, Yi Sheng, Lei Yang, Alaina J. James, Yiyu Shi, Jingtong Hu

CoRR, 2022

Automated Architecture Search for Brain-inspired Hyperdimensional Computing.

Junhuan Yang, Yi Sheng, Sizhe Zhang, Ruixuan Wang, Kenneth W. Foreman, Mikell Paige, Xun Jiao, Weiwen Jiang, Lei Yang

CoRR, 2022

Hardware-aware Automated Architecture Search for Brain-inspired Hyperdimensional Computing.

Junhuan Yang, Venkat Kalyan Reddy Yasa, Yi Sheng, Dayane Reis, Xun Jiao, Weiwen Jiang, Lei Yang

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2022

The larger the fairer?: small neural networks can achieve fairness for edge devices.

Yi Sheng, Junhuan Yang, Yawen Wu, Kevin Mao, Yiyu Shi, Jingtong Hu, Weiwen Jiang, Lei Yang

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021

Federated Contrastive Learning for Dermatological Disease Diagnosis via On-device Learning (Invited Paper).

Yawen Wu, Dewen Zeng, Zhepeng Wang, Yi Sheng, Lei Yang, Alaina J. James, Yiyu Shi, Jingtong Hu

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.

Daniel Manu, Yi Sheng, Junhuan Yang, Jieren Deng, Tong Geng, Ang Li, Caiwen Ding, Weiwen Jiang, Lei Yang

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021