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Yichen Ruan
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2020 – today
- 2024
- [j4]Yichen Ruan, Xiaoyi Zhang
, Qiuxiao Chen, Mingyu Zhang:
A global polycenter identification method with single-source data: The integration of local multisource data recognition. Trans. GIS 28(6): 1772-1792 (2024) - [j3]Yichen Ruan
, Xiaoxi Zhang
, Carlee Joe-Wong
:
How Valuable is Your Data? Optimizing Client Recruitment in Federated Learning. IEEE/ACM Trans. Netw. 32(5): 4207-4221 (2024) - [i5]Marie Siew, Haoran Zhang, Jong-Ik Park, Yuezhou Liu, Yichen Ruan, Lili Su, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong:
Fair Concurrent Training of Multiple Models in Federated Learning. CoRR abs/2404.13841 (2024) - [i4]Zhichen Zeng, Xiaolong Liu, Mengyue Hang, Xiaoyi Liu, Qinghai Zhou, Chaofei Yang, Yiqun Liu, Yichen Ruan, Laming Chen, Yuxin Chen, Yujia Hao, Jiaqi Xu, Jade Nie, Xi Liu, Buyun Zhang, Wei Wen, Siyang Yuan, Kai Wang, Wen-Yen Chen, Yiping Han, Huayu Li, Chunzhi Yang, Bo Long, Philip S. Yu, Hanghang Tong, Jiyan Yang:
InterFormer: Towards Effective Heterogeneous Interaction Learning for Click-Through Rate Prediction. CoRR abs/2411.09852 (2024) - 2023
- [c6]Marie Siew
, Shoba Arunasalam
, Yichen Ruan
, Ziwei Zhu
, Lili Su
, Stratis Ioannidis
, Edmund Yeh
, Carlee Joe-Wong
:
Poster Abstract: Fair Training of Multiple Federated Learning Models on Resource Constrained Network Devices. IPSN 2023: 330-331 - 2022
- [c5]Yichen Ruan, Carlee Joe-Wong:
FedSoft: Soft Clustered Federated Learning with Proximal Local Updating. AAAI 2022: 8124-8131 - 2021
- [j2]Su Wang
, Yichen Ruan, Yuwei Tu, Satyavrat Wagle, Christopher G. Brinton
, Carlee Joe-Wong
:
Network-Aware Optimization of Distributed Learning for Fog Computing. IEEE/ACM Trans. Netw. 29(5): 2019-2032 (2021) - [c4]Yichen Ruan, Xiaoxi Zhang, Shu-Che Liang, Carlee Joe-Wong:
Towards Flexible Device Participation in Federated Learning. AISTATS 2021: 3403-3411 - [c3]Yichen Ruan, Xiaoxi Zhang, Carlee Joe-Wong:
How Valuable Is Your Data? Optimizing Device Recruitment in Federated Learning. WiOpt 2021: 97-104 - [i3]Yichen Ruan, Carlee Joe-Wong:
FedSoft: Soft Clustered Federated Learning with Proximal Local Updating. CoRR abs/2112.06053 (2021) - 2020
- [c2]Yichen Ruan, Carlee Joe-Wong:
On the Economic Value of Mobile Caching. INFOCOM 2020: 984-993 - [c1]Yuwei Tu, Yichen Ruan, Satyavrat Wagle, Christopher G. Brinton, Carlee Joe-Wong:
Network-Aware Optimization of Distributed Learning for Fog Computing. INFOCOM 2020: 2509-2518 - [i2]Yuwei Tu, Yichen Ruan, Su Wang, Satyavrat Wagle, Christopher G. Brinton, Carlee Joe-Wong:
Network-Aware Optimization of Distributed Learning for Fog Computing. CoRR abs/2004.08488 (2020) - [i1]Yichen Ruan, Xiaoxi Zhang, Shu-Che Liang, Carlee Joe-Wong:
Towards Flexible Device Participation in Federated Learning for Non-IID Data. CoRR abs/2006.06954 (2020)
2010 – 2019
- 2018
- [j1]Yichen Ruan, Carlee Joe-Wong:
On the Economic Value of Vehicular Caching. SIGMETRICS Perform. Evaluation Rev. 46(2): 83-84 (2018)
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