Jinqian Chen

According to our database, Jinqian Chen authored at least 19 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Beyond Factor Aggregation: Gauge-Aware Low-Rank Server Representations for Federated LoRA.

Jinqian Chen, Chang Liu, Jihua Zhu

CoRR, May, 2026

Point-RMAE: Reinforcement Masked Autoencoder for 3D Representation Learning.

Haozhe Cheng, Lintong Wei, Wenjing Wang, Wenbiao Yan, Jinqian Chen, Jian Lu, Kun Yue, Jihua Zhu

IEEE Trans. Image Process., 2026

FedPSA: Modeling behavioral staleness in asynchronous federated learning.

Chaoyi Lu, Yiding Sun, Zhichuan Yang, Jinqian Chen, Dongfu Yin, Jihua Zhu

Expert Syst. Appl., 2026

Pseudo Multi-view K-means Clustering.

Jinqian Chen, Jihua Zhu, Haoyu Tang, Qinghai Zheng

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Graph Variational Multi-View Clustering.

Wenbiao Yan, Jihua Zhu, Jinqian Chen, Haozhe Cheng, Qinghai Zheng

IEEE Trans. Circuits Syst. Video Technol., October, 2025

Neighbor-Based Completion for Addressing Incomplete Multiview Clustering.

Wenbiao Yan, Jihua Zhu, Yiyang Zhou, Jinqian Chen, Haozhe Cheng, Kun Yue, Qinghai Zheng

IEEE Trans. Neural Networks Learn. Syst., August, 2025

AFBS:Buffer Gradient Selection in Semi-asynchronous Federated Learning.

Chaoyi Lu, Yiding Sun, Jinqian Chen, Zhichuan Yang, Jiangming Pan, Jihua Zhu

CoRR, June, 2025

HFedCKD: Toward Robust Heterogeneous Federated Learning via Data-free Knowledge Distillation and Two-way Contrast.

Yiting Zheng, Bohan Lin, Jinqian Chen, Jihua Zhu

CoRR, March, 2025

Partially multi-view clustering via re-alignment.

Wenbiao Yan, Jihua Zhu, Jinqian Chen, Haozhe Cheng, Shunshun Bai, Liang Duan, Qinghai Zheng

Neural Networks, 2025

AFBS: buffer gradient selection in semi-asynchronous federated learning.

Chaoyi Lu, Yiding Sun, Jinqian Chen, Zhichuan Yang, Jiangming Pan, Jihua Zhu

Knowl. Based Syst., 2025

Label distribution-driven multi-view representation learning.

Wenbiao Yan, Minghong Wu, Yiyang Zhou, Qinghai Zheng, Jinqian Chen, Haozhe Cheng, Jihua Zhu

Inf. Fusion, 2025

2024

PTM: Torus Masking for 3D Representation Learning Guided by Robust and Trusted Teachers.

Haozhe Cheng, Jihua Zhu, Naiwen Hu, Jinqian Chen, Wenbiao Yan

IEEE Trans. Circuits Syst. Video Technol., December, 2024

TPFL: A Trustworthy Personalized Federated Learning Framework via Subjective Logic.

Jinqian Chen, Jihua Zhu

CoRR, 2024

Graph Attention Residual Network Based Routing and Fault-Tolerant Scheduling Mechanism for Data Flow in Power Communication Network.

Zhihong Lin, Zeng Zeng, Yituan Yu, Yinlin Ren, Xuesong Qiu, Jinqian Chen

Comput. Mater. Continua, 2024

Breaking Barriers of System Heterogeneity: Straggler-Tolerant Multimodal Federated Learning via Knowledge Distillation.

Jinqian Chen, Haoyu Tang, Junhao Cheng, Ming Yan, Ji Zhang, Mingzhu Xu, Yupeng Hu, Liqiang Nie

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models.

Jinqian Chen, Jihua Zhu, Qinghai Zheng, Zhongyu Li, Zhiqiang Tian

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Towards Fast and Stable Federated Learning: Confronting Heterogeneity via Knowledge Anchor.

Jinqian Chen, Jihua Zhu, Qinghai Zheng

Proceedings of the 31st ACM International Conference on Multimedia, 2023

A Multi-Agent Deep Reinforcement Learning based Cooperative Edge Data Caching Approach.

Yongzhe Yu, Shuang Wu, Sujie Shao, Jinqian Chen, Xingyu Chen

Proceedings of the 24st Asia-Pacific Network Operations and Management Symposium, 2023

2021

Hierarchical K-means clustering for registration of multi-view point sets.

Rui Guo, Jinqian Chen, Lin Wang

Comput. Electr. Eng., 2021