On the Economic Value of Vehicular Caching. - Yichen Ruan; Carlee Joe-Wong (SIGMETRICS Perform. Evaluation Rev., 2018)

On the Economic Value of Mobile Caching. - Yichen Ruan; Carlee Joe-Wong (INFOCOM, 2020)

Network-Aware Optimization of Distributed Learning for Fog Computing. - Yuwei Tu; Yichen Ruan; Satyavrat Wagle; Christopher G. Brinton; Carlee Joe-Wong (INFOCOM, 2020)

Towards Flexible Device Participation in Federated Learning for Non-IID Data. - Yichen Ruan; Xiaoxi Zhang 001; Shu-Che Liang; Carlee Joe-Wong (CoRR, 2020)

Towards Flexible Device Participation in Federated Learning. - Yichen Ruan; Xiaoxi Zhang 001; Shu-Che Liang; Carlee Joe-Wong (AISTATS, 2021)

How Valuable Is Your Data? Optimizing Device Recruitment in Federated Learning. - Yichen Ruan; Xiaoxi Zhang 001; Carlee Joe-Wong (WiOpt, 2021)

Network-Aware Optimization of Distributed Learning for Fog Computing. - Su Wang 007; Yichen Ruan; Yuwei Tu; Satyavrat Wagle; Christopher G. Brinton; Carlee Joe-Wong (IEEE/ACM Trans. Netw., 2021)

FedSoft: Soft Clustered Federated Learning with Proximal Local Updating. - Yichen Ruan; Carlee Joe-Wong (AAAI, 2022)

Enabling Collaborative Use of Data for Mobile Devices under Physical and Privacy Constraints - Yichen Ruan (2022)

Poster Abstract: Fair Training of Multiple Federated Learning Models on Resource Constrained Network Devices. - Marie Siew; Shoba Arunasalam; Yichen Ruan; Ziwei Zhu; Lili Su; Stratis Ioannidis; Edmund Yeh; Carlee Joe-Wong (IPSN, 2023)

Fair Concurrent Training of Multiple Models in Federated Learning. - Marie Siew; Haoran Zhang; Jong-Ik Park; Yuezhou Liu; Yichen Ruan; Lili Su; Stratis Ioannidis; Edmund Yeh; Carlee Joe-Wong (CoRR, 2024)

InterFormer: Towards Effective Heterogeneous Interaction Learning for Click-Through Rate Prediction. - Zhichen Zeng 001; Xiaolong Liu; Mengyue Hang; Xiaoyi Liu; Qinghai Zhou; Chaofei Yang; Yiqun Liu; Yichen Ruan; Laming Chen; Yuxin Chen 001; Yujia Hao; Jiaqi Xu; et al. (CoRR, 2024)

A global polycenter identification method with single-source data: The integration of local multisource data recognition. - Yichen Ruan; Xiaoyi Zhang 004; Qiuxiao Chen; Mingyu Zhang (Trans. GIS, 2024)

How Valuable is Your Data? Optimizing Client Recruitment in Federated Learning. - Yichen Ruan; Xiaoxi Zhang 001; Carlee Joe-Wong (IEEE/ACM Trans. Netw., 2024)