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2020 – today
- 2024
[c6]Jintao Yan, Yunchu Han, Zhaojun Nan, Sheng Zhou:
CPU-Utilization-Aware Scheduling for In-Vehicle Distributed Computing. WCNC 2024: 1-6- [i4]Tan Chen, Jintao Yan, Yuxuan Sun, Sheng Zhou, Deniz Gündüz, Zhisheng Niu:
Mobility Accelerates Learning: Convergence Analysis on Hierarchical Federated Learning in Vehicular Networks. CoRR abs/2401.09656 (2024) - [i3]Jintao Yan, Tan Chen, Yuxuan Sun, Zhaojun Nan, Sheng Zhou, Zhisheng Niu:
Dynamic Scheduling for Vehicle-to-Vehicle Communications Enhanced Federated Learning. CoRR abs/2406.17470 (2024) - 2023
- [c5]Lin Wu, Guogui Yang, Jintao Yan, Shuguang Ran, Baokang Zhao, Huan Zhou:
Simulation for urban computing scenarios: An overview and research challenges. CSCloud/EdgeCom 2023: 12-17 - [c4]Jintao Yan, Zhaojun Nan
, Sheng Zhou:
V2V-Assisted Timely Hierarchical Federated Learning. SPAWC 2023: 191-195 - [c3]Tan Chen, Jintao Yan, Yuxuan Sun, Sheng Zhou, Deniz Gündüz, Zhisheng Niu:
Data-Heterogeneous Hierarchical Federated Learning with Mobility. ITC 2023: 1-5 - [i2]Tan Chen, Jintao Yan, Yuxuan Sun, Sheng Zhou, Deniz Gündüz, Zhisheng Niu:
Data-Heterogeneous Hierarchical Federated Learning with Mobility. CoRR abs/2306.10692 (2023) - 2022
- [j1]Jingyi Liu, Zhongyu Li, Xiayue Fan, Xuemeng Hu, Jintao Yan, Bolin Li, Qing Xia, Jihua Zhu, Yue Wu:
CRT-Net: A generalized and scalable framework for the computer-aided diagnosis of Electrocardiogram signals. Appl. Soft Comput. 128: 109481 (2022) - 2021
- [c2]Jintao Yan, Jianhao Huang, Chuan Huang:
Deep Learning Aided Joint Source-Channel Coding for Wireless Networks. ICCC 2021: 805-810 - [i1]Jingyi Liu, Zhongyu Li, Xiayue Fan, Jintao Yan, Bolin Li, Xuemeng Hu, Qing Xia, Yue Wu:
CRT-Net: A Generalized and Scalable Framework for the Computer-Aided Diagnosis of Electrocardiogram Signals. CoRR abs/2105.13619 (2021) - 2020
- [c1]Xiaoxu Li, Jintao Yan, Jijie Wu, Yuxin Liu, Xiaochen Yang, Zhanyu Ma:
Anti-Noise Relation Network for Few-shot Learning. APSIPA 2020: 1719-1724
Coauthor Index
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