Yichen Ruan - RankMe

18 papers A* 3A 2B 1Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Fair Concurrent Training of Multiple Models in Federated Learning. IEEE Trans. Netw. Marie Siew, Haoran Zhang, Jong-Ik Park, Yuezhou Liu, Yichen Ruan, Lili Su, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong
2025	A	`conf`	InterFormer: Effective Heterogeneous Interaction Learning for Click-Through Rate Prediction. CIKM 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, Hang Yin, Xin Zhang, Kai Wang, Wen-Yen Chen, Yiping Han, Huayu Li, Chunzhi Yang, Bo Long, Philip S. Yu, Hanghang Tong, Jiyan Yang
2024	J	`jnl`	A global polycenter identification method with single-source data: The integration of local multisource data recognition. Trans. GIS Yichen Ruan, Xiaoyi Zhang, Qiuxiao Chen, Mingyu Zhang
2024	J	`jnl`	Fair Concurrent Training of Multiple Models in Federated Learning. CoRR Marie Siew, Haoran Zhang, Jong-Ik Park, Yuezhou Liu, Yichen Ruan, Lili Su, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong
2024	J	`jnl`	How Valuable is Your Data? Optimizing Client Recruitment in Federated Learning. IEEE/ACM Trans. Netw. Yichen Ruan, Xiaoxi Zhang, Carlee Joe-Wong
2024	J	`jnl`	InterFormer: Towards Effective Heterogeneous Interaction Learning for Click-Through Rate Prediction. CoRR 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
2023	—	`conf`	Poster Abstract: Fair Training of Multiple Federated Learning Models on Resource Constrained Network Devices. IPSN Marie Siew, Shoba Arunasalam, Yichen Ruan, Ziwei Zhu, Lili Su, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong
2022	—	`—`	Enabling Collaborative Use of Data for Mobile Devices under Physical and Privacy Constraints Yichen Ruan
2022	A*	`conf`	FedSoft: Soft Clustered Federated Learning with Proximal Local Updating. AAAI Yichen Ruan, Carlee Joe-Wong
2021	J	`jnl`	FedSoft: Soft Clustered Federated Learning with Proximal Local Updating. CoRR Yichen Ruan, Carlee Joe-Wong
2021	B	`conf`	How Valuable Is Your Data? Optimizing Device Recruitment in Federated Learning. WiOpt Yichen Ruan, Xiaoxi Zhang, Carlee Joe-Wong
2021	J	`jnl`	Network-Aware Optimization of Distributed Learning for Fog Computing. IEEE/ACM Trans. Netw. Su Wang, Yichen Ruan, Yuwei Tu, Satyavrat Wagle, Christopher G. Brinton, Carlee Joe-Wong
2021	A	`conf`	Towards Flexible Device Participation in Federated Learning. AISTATS Yichen Ruan, Xiaoxi Zhang, Shu-Che Liang, Carlee Joe-Wong
2020	A*	`conf`	Network-Aware Optimization of Distributed Learning for Fog Computing. INFOCOM Yuwei Tu, Yichen Ruan, Satyavrat Wagle, Christopher G. Brinton, Carlee Joe-Wong
2020	J	`jnl`	Network-Aware Optimization of Distributed Learning for Fog Computing. CoRR Yuwei Tu, Yichen Ruan, Su Wang, Satyavrat Wagle, Christopher G. Brinton, Carlee Joe-Wong
2020	A*	`conf`	On the Economic Value of Mobile Caching. INFOCOM Yichen Ruan, Carlee Joe-Wong
2020	J	`jnl`	Towards Flexible Device Participation in Federated Learning for Non-IID Data. CoRR Yichen Ruan, Xiaoxi Zhang, Shu-Che Liang, Carlee Joe-Wong
2018	J	`jnl`	On the Economic Value of Vehicular Caching. SIGMETRICS Perform. Evaluation Rev. Yichen Ruan, Carlee Joe-Wong