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Jingyang Zhu
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2020 – today
- 2024
- [j8]Jingyang Zhu
, Yuanming Shi
Latency Minimization for Wireless Federated Learning With Heterogeneous Local Model Updates. IEEE Internet Things J. 11(1): 444-461 (2024) - [j7]Jingyang Zhu
Over-the-Air Federated Learning and Optimization. IEEE Internet Things J. 11(10): 16996-17020 (2024) - [j6]Jingyang Zhu
Adaptive output dynamic feedback control for nonaffine pure-feedback time delay system with unknown backlash-like hysteresis. J. Frankl. Inst. 361(4): 106633 (2024) - [j5]Yuanming Shi
Satellite Federated Edge Learning: Architecture Design and Convergence Analysis. IEEE Trans. Wirel. Commun. 23(10): 15212-15229 (2024) - [i6]Yuanming Shi, Li Zeng, Jingyang Zhu, Yong Zhou, Chunxiao Jiang, Khaled B. Letaief:
Satellite Federated Edge Learning: Architecture Design and Convergence Analysis. CoRR abs/2404.01875 (2024) - [i5]Jingyang Zhu, Yuanming Shi, Yong Zhou, Chunxiao Jiang, Linling Kuang:
Hierarchical Learning and Computing over Space-Ground Integrated Networks. CoRR abs/2408.14116 (2024) - 2023
- [j4]Xizi Chen
Tight Compression: Compressing CNN Through Fine-Grained Pruning and Weight Permutation for Efficient Implementation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(2): 644-657 (2023) - [c11]Yiji Wang, Jingyang Zhu, Yijie Mao, Dingzhu Wen, Xiaohua Tian, Yuanming Shi:
Hierarchical Federated Edge Learning over Space-Air-Ground Integrated Networks. GLOBECOM (Workshops) 2023: 190-196 - [c10]Haiwen Feng, Hao Tian, Ting Wang, Jingyang Zhu, Xintong Wang:
Transmission Optimization Based on Industrial Internet Information Model. ICMLCA 2023: 69-73 - [c9]Jingyang Zhu, Yuanming Shi, Min Fu, Yong Zhou, Youlong Wu, Liqun Fu:
Latency Minimization for Wireless Federated Learning with Heterogeneous Local Updates. WCNC 2023: 1-6 - [i4]Jingyang Zhu, Yuanming Shi, Yong Zhou, Chunxiao Jiang, Wei Chen, Khaled B. Letaief:
Over-the-Air Federated Learning and Optimization. CoRR abs/2310.10089 (2023) - 2021
- [c8]Shuhao Xia, Jingyang Zhu, Yuhan Yang, Yong Zhou, Yuanming Shi, Wei Chen:
Fast Convergence Algorithm for Analog Federated Learning. ICC 2021: 1-6 - [i3]Xizi Chen, Jingyang Zhu, Jingbo Jiang, Chi-Ying Tsui:
Tight Compression: Compressing CNN Through Fine-Grained Pruning and Weight Permutation for Efficient Implementation. CoRR abs/2104.01303 (2021) - 2020
- [c7]Xizi Chen
Tight Compression: Compressing CNN Model Tightly Through Unstructured Pruning and Simulated Annealing Based Permutation. DAC 2020: 1-6 - [i2]Shuhao Xia, Jingyang Zhu, Yuhan Yang, Yong Zhou, Yuanming Shi, Wei Chen:
Fast Convergence Algorithm for Analog Federated Learning. CoRR abs/2011.06658 (2020)
2010 – 2019
- 2019
- [j3]Xizi Chen
SubMac: Exploiting the subword-based computation in RRAM-based CNN accelerator for energy saving and speedup. Integr. 69: 356-368 (2019) - [c6]Xizi Chen
CompRRAE: RRAM-based convolutional neural network accelerator with reduced computations through a runtime activation estimation. ASP-DAC 2019: 133-139 - 2018
- [c5]Xizi Chen
A high-throughput and energy-efficient RRAM-based convolutional neural network using data encoding and dynamic quantization. ASP-DAC 2018: 123-128 - [c4]Jingyang Zhu, Jingbo Jiang, Xizi Chen
SparseNN: An energy-efficient neural network accelerator exploiting input and output sparsity. DATE 2018: 241-244 - 2017
- [j2]Zhenfei Wang, Jingyang Zhu, Zhiyun Zheng, Yu Song:
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 44(3): 254-258 (2017) - [c3]Jingyang Zhu
BHNN: A memory-efficient accelerator for compressing deep neural networks with blocked hashing techniques. ASP-DAC 2017: 690-695 - [i1]Jingyang Zhu, Jingbo Jiang, Xizi Chen, Chi-Ying Tsui:
SparseNN: An Energy-Efficient Neural Network Accelerator Exploiting Input and Output Sparsity. CoRR abs/1711.01263 (2017) - 2016
- [j1]Jingyang Zhu, Zhiliang Qian, Chi-Ying Tsui
BiLink: A high performance NoC router architecture using bi-directional link with double data rate. Integr. 55: 30-42 (2016) - [c2]Jingyang Zhu
LRADNN: High-throughput and energy-efficient Deep Neural Network accelerator using Low Rank Approximation. ASP-DAC 2016: 581-586 - 2014
- [c1]Shan Huang, Botao Wang, Jingyang Zhu, Guoren Wang, Ge Yu:
R-HBase: A Multi-dimensional Indexing Framework for Cloud Computing Environment. ICDM Workshops 2014: 569-574
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