Network-Aware 5G Edge Computing for Object Detection: Augmenting Wearables to "See" More, Farther and Faster. - Zhongzheng Yuan; Tommy Azzino; Yu Hao; Yixuan Lyu; Haoyang Pei; Alain Boldini; Marco Mezzavilla; Mahya Beheshti; Maurizio Porfiri; Todd E. Hudson; William H. Seiple; Yi Fang 006; et al. (IEEE Access, 2022)

Understanding the Impact of Image Quality and Distance of Objects to Object Detection Performance. - Yu Hao; Haoyang Pei; Yixuan Lyu; Zhongzheng Yuan; John-Ross Rizzo; Yao Wang 001; Yi Fang 006 (IROS, 2023)

Self-Supervised Learning based Depth Estimation from Monocular Images. - Mayank Poddar; Akash Mishra; Mohit Kewlani; Haoyang Pei (CoRR, 2023)

Hybrid Learning: A Novel Combination of Self-Supervised and Supervised Learning for MRI Reconstruction without High-Quality Training Reference. - Haoyang Pei; Ding Xia; Xiang Xu; William Moore; Yao Wang; Hersh Chandarana; Li Feng (CoRR, 2025)

Self-Supervised Joint Reconstruction and Denoising of T2-Weighted PROPELLER MRI of the Lungs at 0.55T. - Jingjia Chen; Haoyang Pei; Christoph Maier; Mary Bruno; Qiuting Wen; Seon-Hi Shin; William Moore; Hersh Chandarana; Li Feng (CoRR, 2025)