Jingyang Zhu

According to our database, Jingyang Zhu authored at least 17 papers between 2014 and 2024.

Collaborative distances:

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

2024

Latency Minimization for Wireless Federated Learning With Heterogeneous Local Model Updates.

Jingyang Zhu, Yuanming Shi, Min Fu, Yong Zhou, Youlong Wu, Liqun Fu

IEEE Internet Things J., January, 2024

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., February, 2023

Over-the-Air Federated Learning and Optimization.

Jingyang Zhu, Yuanming Shi, Yong Zhou, Chunxiao Jiang, Wei Chen, Khaled B. Letaief

CoRR, 2023

Latency Minimization for Wireless Federated Learning with Heterogeneous Local Updates.

Jingyang Zhu, Yuanming Shi, Min Fu, Yong Zhou, Youlong Wu, Liqun Fu

Proceedings of the IEEE Wireless Communications and Networking Conference, 2023

Transmission Optimization Based on Industrial Internet Information Model.

Haiwen Feng, Hao Tian, Ting Wang, Jingyang Zhu, Xintong Wang

Proceedings of the 4th International Conference on Machine Learning and Computer Application, 2023

Hierarchical Federated Edge Learning over Space-Air-Ground Integrated Networks.

Yiji Wang, Jingyang Zhu, Yijie Mao, Dingzhu Wen, Xiaohua Tian, Yuanming Shi

Proceedings of the IEEE Globecom Workshops 2023, 2023

2021

Fast Convergence Algorithm for Analog Federated Learning.

Shuhao Xia, Jingyang Zhu, Yuhan Yang, Yong Zhou, Yuanming Shi, Wei Chen

Proceedings of the ICC 2021, 2021

2020

Tight Compression: Compressing CNN Model Tightly Through Unstructured Pruning and Simulated Annealing Based Permutation.

Xizi Chen, Jingyang Zhu, Jingbo Jiang, Chi-Ying Tsui

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

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

CompRRAE: RRAM-based convolutional neural network accelerator with reduced computations through a runtime activation estimation.

Xizi Chen, Jingyang Zhu, Jingbo Jiang, Chi-Ying Tsui

Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019

2018

SparseNN: An energy-efficient neural network accelerator exploiting input and output sparsity.

Jingyang Zhu, Jingbo Jiang, Xizi Chen, Chi-Ying Tsui

Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

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

Proceedings of the 23rd Asia and South Pacific Design Automation Conference, 2018

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

BHNN: A memory-efficient accelerator for compressing deep neural networks with blocked hashing techniques.

Jingyang Zhu, Zhiliang Qian, Chi-Ying Tsui

Proceedings of the 22nd Asia and South Pacific Design Automation Conference, 2017

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

LRADNN: High-throughput and energy-efficient Deep Neural Network accelerator using Low Rank Approximation.

Jingyang Zhu, Zhiliang Qian, Chi-Ying Tsui

Proceedings of the 21st Asia and South Pacific Design Automation Conference, 2016

2014

R-HBase: A Multi-dimensional Indexing Framework for Cloud Computing Environment.

Shan Huang, Botao Wang, Jingyang Zhu, Guoren Wang, Ge Yu

Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014