R-HBase: A Multi-dimensional Indexing Framework for Cloud Computing Environment. - Shan Huang 007; Botao Wang; Jingyang Zhu; Guoren Wang; Ge Yu 001 (ICDM Workshops, 2014)

LRADNN: High-throughput and energy-efficient Deep Neural Network accelerator using Low Rank Approximation. - Jingyang Zhu; Zhiliang Qian; Chi-Ying Tsui (ASP-DAC, 2016)

BiLink: A high performance NoC router architecture using bi-directional link with double data rate. - Jingyang Zhu; Zhiliang Qian; Chi-Ying Tsui (Integr., 2016)

BHNN: A memory-efficient accelerator for compressing deep neural networks with blocked hashing techniques. - Jingyang Zhu; Zhiliang Qian; Chi-Ying Tsui (ASP-DAC, 2017)

基于R-C模型的微博社区用户影响力分析 (Analysis of Microblog Community Users' Influence Based on R-C Model). - Zhenfei Wang; Jingyang Zhu; Zhiyun Zheng; Yu Song (计算机科学, 2017)

A high-throughput and energy-efficient RRAM-based convolutional neural network using data encoding and dynamic quantization. - Xizi Chen; Jingbo Jiang; Jingyang Zhu; Chi-Ying Tsui (ASP-DAC, 2018)

SparseNN: An energy-efficient neural network accelerator exploiting input and output sparsity. - Jingyang Zhu; Jingbo Jiang; Xizi Chen; Chi-Ying Tsui (DATE, 2018)

CompRRAE: RRAM-based convolutional neural network accelerator with reduced computations through a runtime activation estimation. - Xizi Chen; Jingyang Zhu; Jingbo Jiang; Chi-Ying Tsui (ASP-DAC, 2019)

SubMac: Exploiting the subword-based computation in RRAM-based CNN accelerator for energy saving and speedup. - Xizi Chen; Jingbo Jiang; Jingyang Zhu; Chi-Ying Tsui (Integr., 2019)

Tight Compression: Compressing CNN Model Tightly Through Unstructured Pruning and Simulated Annealing Based Permutation. - Xizi Chen; Jingyang Zhu; Jingbo Jiang; Chi-Ying Tsui (DAC, 2020)

Fast Convergence Algorithm for Analog Federated Learning. - Shuhao Xia; Jingyang Zhu; Yuhan Yang; Yong Zhou 006; Yuanming Shi; Wei Chen 002 (ICC, 2021)

Hierarchical Federated Edge Learning over Space-Air-Ground Integrated Networks. - Yiji Wang; Jingyang Zhu; Yijie Mao; Dingzhu Wen; Xiaohua Tian; Yuanming Shi (GLOBECOM (Workshops), 2023)

Transmission Optimization Based on Industrial Internet Information Model. - Haiwen Feng; Hao Tian; Ting Wang 001; Jingyang Zhu; Xintong Wang (ICMLCA, 2023)

Latency Minimization for Wireless Federated Learning with Heterogeneous Local Updates. - Jingyang Zhu; Yuanming Shi; Min Fu 003; Yong Zhou 006; Youlong Wu; Liqun Fu 001 (WCNC, 2023)

Tight Compression: Compressing CNN Through Fine-Grained Pruning and Weight Permutation for Efficient Implementation. - Xizi Chen; Jingyang Zhu; Jingbo Jiang; Chi-Ying Tsui (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

Satellite Federated Fine-Tuning for Foundation Models: Architecture Design and System Optimization. - Yan Zhu; Peng Yang 027; Jingyang Zhu; Dingzhu Wen; Ting Wang 001; Yong Zhou 006; Yuanming Shi; Chunxiao Jiang (GLOBECOM, 2024)

Hierarchical Learning and Computing over Space-Ground Integrated Networks. - Jingyang Zhu; Yuanming Shi; Yong Zhou 006; Chunxiao Jiang; Linling Kuang (CoRR, 2024)

Partial Knowledge Distillation for Alleviating the Inherent Inter-Class Discrepancy in Federated Learning. - Xiaoyu Gan; Xizi Chen; Jingyang Zhu; Xiaomeng Wang; Jingbo Jiang; Chi-Ying Tsui (CoRR, 2024)

Adaptive output dynamic feedback control for nonaffine pure-feedback time delay system with unknown backlash-like hysteresis. - Jingyang Zhu; Shurong Li (J. Frankl. Inst., 2024)

Latency Minimization for Wireless Federated Learning With Heterogeneous Local Model Updates. - Jingyang Zhu; Yuanming Shi; Min Fu 003; Yong Zhou 006; Youlong Wu; Liqun Fu 001 (IEEE Internet Things J., 2024)

Over-the-Air Federated Learning and Optimization. - Jingyang Zhu; Yuanming Shi; Yong Zhou 006; Chunxiao Jiang; Wei Chen 002; Khaled B. Letaief (IEEE Internet Things J., 2024)

Satellite Federated Edge Learning: Architecture Design and Convergence Analysis. - Yuanming Shi; Li Zeng; Jingyang Zhu; Yong Zhou 006; Chunxiao Jiang; Khaled B. Letaief (IEEE Trans. Wirel. Commun., 2024)

Topology-Aware Routing for Federated Learning Over Multi-Layer Satellite Networks. - Ruanjun Li; Jingyang Zhu; Yijie Mao; Yuanming Shi; Ting Wang 001; Chunxiao Jiang (WCNC, 2025)

Satellite Edge Artificial Intelligence with Large Models: Architectures and Technologies. - Yuanming Shi; Jingyang Zhu; Chunxiao Jiang; Linling Kuang; Khaled B. Letaief (CoRR, 2025)

Satellite Federated Fine-Tuning for Foundation Models in Space Computing Power Networks. - Yan Zhu; Jingyang Zhu; Ting Wang 001; Yuanming Shi; Chunxiao Jiang; Khaled Ben Letaief (CoRR, 2025)

Adaptive output feedback command filter control based on extreme learning machine for nonaffine time delay systems with input saturation. - Jingyang Zhu; Shurong Li (Int. J. Syst. Sci., 2025)

Edge Large AI Models: Revolutionizing 6G Networks. - Zixin Wang; Yuanming Shi; Yong Zhou 006; Jingyang Zhu; Khaled Ben Letaief (CoRR, 2025)