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ORCIDJingyang Zhu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2025
[j11]Zixin Wang, Yuanming Shi, Yong Zhou, Jingyang Zhu, Khaled B. Letaief:
Edge Large AI Models: Revolutionizing 6G Networks. IEEE Commun. Mag. 63(10): 36-42 (2025)- [j10]Jingyang Zhu, Shurong Li:
Adaptive output feedback command filter control based on extreme learning machine for nonaffine time delay systems with input saturation. Int. J. Syst. Sci. 56(5): 1060-1080 (2025) - [j9]Jingyang Zhu
, Yuanming Shi, Yong Zhou, Chunxiao Jiang, Linling Kuang:
Hierarchical Learning and Computing Over Space-Ground Integrated Networks. IEEE Trans. Mob. Comput. 24(10): 10423-10440 (2025) - [c14]Zhanpeng Yang, Pengfei Zhang, Jingyang Zhu, Dingzhu Wen, Yuanming Shi, Wei Chen:
Hierarchical Federated Learning with Integrated Sensing-Communication-Computation Over Space-Air-Ground Integrated Networks. ICC 2025: 1163-1168 - [c13]Ruanjun Li, Jingyang Zhu, Yijie Mao, Yuanming Shi, Ting Wang, Chunxiao Jiang:
Topology-Aware Routing for Federated Learning Over Multi-Layer Satellite Networks. WCNC 2025: 1-6 - [i11]Yuanming Shi, Jingyang Zhu, Chunxiao Jiang, Linling Kuang, Khaled B. Letaief:
Satellite Edge Artificial Intelligence with Large Models: Architectures and Technologies. CoRR abs/2504.01676 (2025) - [i10]Yan Zhu, Jingyang Zhu, Ting Wang, Yuanming Shi, Chunxiao Jiang, Khaled Ben Letaief:
Satellite Federated Fine-Tuning for Foundation Models in Space Computing Power Networks. CoRR abs/2504.10403 (2025) - [i9]Zixin Wang, Yuanming Shi, Yong Zhou, Jingyang Zhu, Khaled Ben Letaief:
Edge Large AI Models: Revolutionizing 6G Networks. CoRR abs/2505.00321 (2025) - [i8]Felix Abecassis, Anjulie Agrusa, Dong Ahn, Jonah Alben, Stefania Alborghetti, Michael Andersch, Sivakumar Arayandi, Alexis Bjorlin, Aaron Blakeman, Evan Briones, Ian Buck, Bryan Catanzaro, Jinhang Choi, Mike Chrzanowski, Eric Chung, Victor Cui, Steve Dai, Bita Darvish Rouhani, Carlo del Mundo, Deena Donia, Sukru Burc Eryilmaz, Henry Estela, Abhinav Goel, Oleg Goncharov, Yugi Guvvala, Robert Hesse, Russell Hewett, Herbert Hum, Ujval J. Kapasi, Brucek Khailany, Mikail Khona, Nick Knight, Alex Kondratenko, Ronny Krashinsky, Ben Lanir, Simon Layton, Michael Lightstone, Daniel Lo, Paulius Micikevicius, Asit K. Mishra, Tim Moon, Deepak Narayanan, Chao Ni, Abhijit Paithankar, Satish Pasumarthi, Ankit Patel, Mostofa Patwary, Ashwin Poojary, Gargi Prasad, Sweta Priyadarshi, Yigong Qin, Xiaowei Ren, Oleg Rybakov, Charbel Sakr, Sanjeev Satheesh, Stas Sergienko, Pavel Shamis, Kirthi Shankar, Nishant Sharma, Mohammad Shoeybi, Michael Y. Siu, Misha Smelyanskiy, Darko Stosic, Dusan Stosic, Bor-Yiing Su, Frank Sun, Nima Tajbakhsh, Shelby Thomas, Przemek Tredak, Evgeny Tsykunov, Gandhi Vaithilingam, Aditya Vavre, Rangharajan Venkatesan, Roger Waleffe, Qiyu Wan, Hexin Wang, Mengdi Wang, Lizzie Wei, Hao Wu, Evan Wu, Keith Wyss, Ning Xu, Jinze Xue, Charlene Yang, Yujia Zhai, Ruoxi Zhang, Jingyang Zhu, Zhongbo Zhu:
Pretraining Large Language Models with NVFP4. CoRR abs/2509.25149 (2025) - 2024
- [j8]Jingyang Zhu, Yuanming Shi, Min Fu, Yong Zhou, Youlong Wu, Liqun Fu:
Latency Minimization for Wireless Federated Learning With Heterogeneous Local Model Updates. IEEE Internet Things J. 11(1): 444-461 (2024) - [j7]Jingyang Zhu, Yuanming Shi, Yong Zhou, Chunxiao Jiang, Wei Chen, Khaled B. Letaief:
Over-the-Air Federated Learning and Optimization. IEEE Internet Things J. 11(10): 16996-17020 (2024) - [j6]Jingyang Zhu, Shurong Li:
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, Li Zeng, Jingyang Zhu, Yong Zhou, Chunxiao Jiang, Khaled B. Letaief:
Satellite Federated Edge Learning: Architecture Design and Convergence Analysis. IEEE Trans. Wirel. Commun. 23(10): 15212-15229 (2024) - [c12]Yan Zhu, Peng Yang, Jingyang Zhu, Dingzhu Wen, Ting Wang, Yong Zhou, Yuanming Shi, Chunxiao Jiang:
Satellite Federated Fine-Tuning for Foundation Models: Architecture Design and System Optimization. GLOBECOM 2024: 5030-5035 - [i7]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) - [i6]Jingyang Zhu, Yuanming Shi, Yong Zhou, Chunxiao Jiang, Linling Kuang:
Hierarchical Learning and Computing over Space-Ground Integrated Networks. CoRR abs/2408.14116 (2024) - [i5]Xiaoyu Gan, Xizi Chen, Jingyang Zhu, Xiaomeng Wang, Jingbo Jiang, Chi-Ying Tsui:
Partial Knowledge Distillation for Alleviating the Inherent Inter-Class Discrepancy in Federated Learning. CoRR abs/2411.15403 (2024) - 2023
- [j4]Xizi Chen, Jingyang Zhu, Jingbo Jiang, Chi-Ying Tsui:
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, Jingyang Zhu, Jingbo Jiang, Chi-Ying Tsui:
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, Jingbo Jiang, Jingyang Zhu, Chi-Ying Tsui:
SubMac: Exploiting the subword-based computation in RRAM-based CNN accelerator for energy saving and speedup. Integr. 69: 356-368 (2019) - [c6]Xizi Chen, Jingyang Zhu, Jingbo Jiang, Chi-Ying Tsui:
CompRRAE: RRAM-based convolutional neural network accelerator with reduced computations through a runtime activation estimation. ASP-DAC 2019: 133-139 - 2018
- [c5]Xizi Chen, Jingbo Jiang, Jingyang Zhu, Chi-Ying Tsui:
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, Chi-Ying Tsui:
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, Zhiliang Qian, Chi-Ying Tsui:
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, Zhiliang Qian, Chi-Ying Tsui:
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
Coauthor Index
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