Jingyang Zhu

Orcid: 0000-0002-6370-2769

According to our database1, Jingyang Zhu authored at least 20 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Satellite Federated Edge Learning: Architecture Design and Convergence Analysis.
IEEE Trans. Wirel. Commun., October, 2024

Over-the-Air Federated Learning and Optimization.
IEEE Internet Things J., May, 2024

Latency Minimization for Wireless Federated Learning With Heterogeneous Local Model Updates.
IEEE Internet Things J., January, 2024

Adaptive output dynamic feedback control for nonaffine pure-feedback time delay system with unknown backlash-like hysteresis.
J. Frankl. Inst., 2024

Hierarchical Learning and Computing over Space-Ground Integrated Networks.
CoRR, 2024

2023
Tight Compression: Compressing CNN Through Fine-Grained Pruning and Weight Permutation for Efficient Implementation.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., February, 2023

Latency Minimization for Wireless Federated Learning with Heterogeneous Local Updates.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2023

Transmission Optimization Based on Industrial Internet Information Model.
Proceedings of the 4th International Conference on Machine Learning and Computer Application, 2023

Hierarchical Federated Edge Learning over Space-Air-Ground Integrated Networks.
Proceedings of the IEEE Globecom Workshops 2023, 2023

2021
Fast Convergence Algorithm for Analog Federated Learning.
Proceedings of the ICC 2021, 2021

2020
Tight Compression: Compressing CNN Model Tightly Through Unstructured Pruning and Simulated Annealing Based Permutation.
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.
Integr., 2019

CompRRAE: RRAM-based convolutional neural network accelerator with reduced computations through a runtime activation estimation.
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.
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.
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).
计算机科学, 2017

BHNN: A memory-efficient accelerator for compressing deep neural networks with blocked hashing techniques.
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.
Integr., 2016

LRADNN: High-throughput and energy-efficient Deep Neural Network accelerator using Low Rank Approximation.
Proceedings of the 21st Asia and South Pacific Design Automation Conference, 2016

2014
R-HBase: A Multi-dimensional Indexing Framework for Cloud Computing Environment.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014


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