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Jiaming Yan
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2020 – today
- 2025
[j8]Miaobo Qiu
, Wenyang Luo, Tongfei Liu, Yanqin Jiang, Jiaming Yan, Wenjuan Li, Jin Gao, Weiming Hu, Stephen J. Maybank:
Two-stream transformer tracking with messengers. Image Vis. Comput. 158: 105510 (2025)
[j7]Yajie Wang
, Liyan Shan
, Jiaming Yan
, Yunze Pang
:
A Data Augmentation Method for Establishing a Relationship Model Between Composition and Viscoelastic Properties of Asphalt Binder. IEEE Trans. Intell. Transp. Syst. 26(8): 12446-12460 (2025)
[j6]Jianchun Liu
, Jiaming Yan
, Ji Qi
, Hongli Xu
, Shilong Wang
, Chunming Qiao
, Liusheng Huang
:
Adaptive Local Update and Neural Composition for Accelerating Federated Learning in Heterogeneous Edge Networks. IEEE Trans. Netw. 33(4): 1438-1453 (2025)
[i5]Shilong Wang
, Jianchun Liu, Hongli Xu, Jiaming Yan, Xianjun Gao:
Efficient Federated Fine-Tuning of Large Language Models with Layer Dropout. CoRR abs/2503.10217 (2025)
[i4]Jiaming Yan, Jianchun Liu, Hongli Xu, Liusheng Huang:
Accelerating Mixture-of-Expert Inference with Adaptive Expert Split Mechanism. CoRR abs/2509.08342 (2025)- 2024
[j5]Bradley Barnhart, Marc Brooker, Daniil Chinenkov, Tony Hooper, Jihoun Im, Prakash Chandra Jha, Tim Kraska, Ashok Kurakula, Alexey Kuznetsov, Grant Mcalister, Arjun Muthukrishnan, Aravinthan Narayanan, Douglas Terry, Bhuvan Urgaonkar, Jiaming Yan:
Resource Management in Aurora Serverless. Proc. VLDB Endow. 17(12): 4038-4050 (2024)
[j4]Jianchun Liu
, Jiaming Yan
, Hongli Xu
, Zhiyuan Wang
, Jinyang Huang
, Yang Xu
:
Finch: Enhancing Federated Learning With Hierarchical Neural Architecture Search. IEEE Trans. Mob. Comput. 23(5): 6012-6026 (2024)
[j3]Jiaming Yan
, Jianchun Liu
, Hongli Xu
, Zhiyuan Wang
, Chunming Qiao
:
Peaches: Personalized Federated Learning With Neural Architecture Search in Edge Computing. IEEE Trans. Mob. Comput. 23(11): 10296-10312 (2024)
[c3]Jiaming Yan, Jianchun Liu, Shilong Wang
, Hongli Xu, Haifeng Liu, Jianhua Zhou:
Heroes: Lightweight Federated Learning with Neural Composition and Adaptive Local Update in Heterogeneous Edge Networks. INFOCOM 2024: 831-840
[i3]Jiaming Yan:
Fair Differentiable Neural Network Architecture Search for Long-Tailed Data with Self-Supervised Learning. CoRR abs/2406.16949 (2024)
[i2]Jiaming Yan, Jianchun Liu, Hongli Xu, Liusheng Huang, Jiantao Gong, Xudong Liu, Kun Hou:
Caesar: A Low-deviation Compression Approach for Efficient Federated Learning. CoRR abs/2412.19989 (2024)- 2023
[j2]Jiaming Yan, Caihui Chen, Zhipeng Wu, Xiaoxia Ding, Liang Lou:
An Acoustic Localization Sensor Based on MEMS Microphone Array for Partial Discharge. Sensors 23(3): 1077 (2023)
[i1]Jiaming Yan, Jianchun Liu, Shilong Wang, Hongli Xu, Haifeng Liu, Jianhua Zhou:
Heroes: Lightweight Federated Learning with Neural Composition and Adaptive Local Update in Heterogeneous Edge Networks. CoRR abs/2312.01617 (2023)- 2022
[c2]Jiaming Yan, Xuemei Li, Xiaoting Wu, Lvguang Chen, Yingying Xu, Zhou Zhou:
Application of MATLAB in noise reduction of plant electrical signal. ICCSIE 2022: 705-708- 2020
[c1]Jingwen Yang, Guanwen Zhang, Jiaming Yan, Wei Zhou:
TSMSAN: A Three-Stream Multi-Scale Attentive Network for Video Saliency Detection. ICPR 2020: 4371-4376
2010 – 2019
- 2016
[j1]Jiaming Yan
, Hong Hong, Heng Zhao
, Yusheng Li, Chen Gu, Xiaohua Zhu:
Through-Wall Multiple Targets Vital Signs Tracking Based on VMD Algorithm. Sensors 16(8): 1293 (2016)
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last updated on 2025-10-28 23:28 CET by the dblp team
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