Guochen Yan

According to our database, Guochen Yan authored at least 14 papers between 2023 and 2026.

Collaborative distances:

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

2026

BrowseComp-V³: A Visual, Vertical, and Verifiable Benchmark for Multimodal Browsing Agents.

Huanyao Zhang, Jiepeng Zhou, Bo Li, Bowen Zhou, Yanzhe Shan, Haishan Lu, Zhiyong Cao, Jiaoyang Chen, Yuqian Han, Zinan Sheng, Zhengwei Tao, Hao Liang, Jialong Wu, Yang Shi, Yuanpeng He, Jiaye Lin, Qintong Zhang, Guochen Yan, Runhao Zhao, Zhengpin Li, Xiaohan Yu, Lang Mei, Chong Chen, Wentao Zhang, Bin Cui

CoRR, February, 2026

Exploring Information Seeking Agent Consolidation.

Guochen Yan, Jialong Wu, Zhengwei Tao, Bo Li, Qintong Zhang, Jiahao Xu, Haitao Mi, Yuejian Fang, Qingni Shen, Wentao Zhang, Zhonghai Wu

CoRR, February, 2026

RAGShaper: Eliciting Sophisticated Agentic RAG Skills via Automated Data Synthesis.

Zhengwei Tao, Bo Li, Jialong Wu, Guochen Yan, Huanyao Zhang, Jiahao Xu, Haitao Mi, Wentao Zhang

CoRR, January, 2026

DocDancer: Towards Agentic Document-Grounded Information Seeking.

Qintong Zhang, Xinjie Lv, Jialong Wu, Baixuan Li, Zhengwei Tao, Guochen Yan, Huanyao Zhang, Bin Wang, Jiahao Xu, Haitao Mi, Wentao Zhang

CoRR, January, 2026

FedSRD: Sparsify-Reconstruct-Decompose for Communication-Efficient Federated Large Language Models Fine-Tuning.

Guochen Yan, Luyuan Xie, Qingni Shen, Yuejian Fang, Zhonghai Wu

Proceedings of the ACM Web Conference 2026, 2026

2025

DataGovBench: Benchmarking LLM Agents for Real-World Data Governance Workflows.

Zhou Liu, Zhaoyang Han, Guochen Yan, Hao Liang, Bohan Zeng, Xing Chen, Yuanfeng Song, Wentao Zhang

CoRR, December, 2025

A Comprehensive Data-centric Overview of Federated Graph Learning.

Zhengyu Wu, Xunkai Li, Yinlin Zhu, Zekai Chen, Guochen Yan, Yanyu Yan, Hao Zhang, Yuming Ai, Xinmo Jin, Rong-Hua Li, Guoren Wang

CoRR, July, 2025

OpenFGL: A Comprehensive Benchmark for Federated Graph Learning.

Xunkai Li, Yinlin Zhu, Boyang Pang, Guochen Yan, Yeyu Yan, Zening Li, Zhengyu Wu, Wentao Zhang, Ronghua Li, Guoren Wang

Proc. VLDB Endow., January, 2025

dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis.

Luyuan Xie, Tianyu Luan, Wenyuan Cai, Guochen Yan, Zhaoyu Chen, Nan Xi, Yuejian Fang, Qingni Shen, Zhonghai Wu, Junsong Yuan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis.

Guochen Yan, Luyuan Xie, Xinyi Gao, Wentao Zhang, Qingni Shen, Yuejian Fang, Zhonghai Wu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Toward Personalized Federated Node Classification in One-shot Communication.

Guochen Yan, Xunkai Li, Luyuan Xie, Wentao Zhang, Qingni Shen, Yuejian Fang, Zhonghai Wu

CoRR, 2024

OpenFGL: A Comprehensive Benchmarks for Federated Graph Learning.

Xunkai Li, Yinlin Zhu, Boyang Pang, Guochen Yan, Yeyu Yan, Zening Li, Zhengyu Wu, Wentao Zhang, Rong-Hua Li, Guoren Wang

CoRR, 2024

NPA: Improving Large-scale Graph Neural Networks with Non-parametric Attention.

Wentao Zhang, Guochen Yan, Yu Shen, Ling Yang, Yangyu Tao, Bin Cui, Jian Tang

Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

2023

A novel open-set clustering algorithm.

Qi Li, Guochen Yan, Shuliang Wang, Boxiang Zhao

Inf. Sci., November, 2023