Block-based Learned Image Coding with Convolutional Autoencoder and Intra-Prediction Aided Entropy Coding. - Zhongzheng Yuan; Haojie Liu; Debargha Mukherjee; Balu Adsumilli; Yao Wang 001 (PCS, 2021)

Feature Compression for Rate Constrained Object Detection on the Edge. - Zhongzheng Yuan; Samyak Rawlekar; Siddharth Garg; Elza Erkip; Yao Wang 001 (MIPR, 2022)

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)

Split Computing With Scalable Feature Compression for Visual Analytics on the Edge. - Zhongzheng Yuan; Samyak Rawlekar; Siddharth Garg; Elza Erkip; Yao Wang 001 (IEEE Trans. Multim., 2024)

CC-TransXNet: a hybrid CNN-transformer network for automatic segmentation of optic cup and optic disk from fundus images. - Zhongzheng Yuan; Jinke Wang; Yukun Xu; Min Xu (Medical Biol. Eng. Comput., 2025)

FedSA-GCL: A Semi-Asynchronous Federated Graph Learning Framework with Personalized Aggregation and Cluster-Aware Broadcasting. - Zhongzheng Yuan; Lianshuai Guo; Xunkai Li; Yinlin Zhu; Wenyu Wang; Meixia Qu (CoRR, 2025)

DFed-SST: Building Semantic- and Structure-aware Topologies for Decentralized Federated Graph Learning. - Lianshuai Guo; Zhongzheng Yuan; Xunkai Li; Yinlin Zhu; Meixia Qu; Wenyu Wang (CoRR, 2025)