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ORCIDPengyang Zhou 0001
Person information
- affiliation: Zhejiang University, College of Computer Science, Hangzhou, China
Other persons with the same name
- Pengyang Zhou — disambiguation page
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2020 – today
- 2026
[c11]Pengyang Zhou
, Zhihao Huang, Jiahe Xu, Wu Wen, Xiaolin Zheng, Chaochao Chen, Jianwei Yin:
LLM-enhanced Federated Graph Learning with Geometry-aware Graph Projection and Shared Subspace Aggregation. WWW 2026: 1345-1356- [i6]Wenkai Shen, Pengyang Zhou, Jiahe Xu, Jiaming Qian, Haozhe He, Zhihao Huang, Chaochao Chen, Xiaolin Zheng:
COMPASS: Cognitive MCTS-Guided Process Alignment for Safe Search Agents. CoRR abs/2605.30838 (2026) - 2025
- [c10]Pengyang Zhou, Chaochao Chen, Weiming Liu, Xinting Liao, Wenkai Shen, Jiahe Xu, Zhihui Fu, Jun Wang, Wu Wen, Xiaolin Zheng:
FedGOG: Federated Graph Out-of-Distribution Generalization with Diffusion Data Exploration and Latent Embedding Decorrelation. AAAI 2025: 22965-22973 - [c9]Jiaming Qian, Xinting Liao, Xiangmou Qu, Zhihui Fu, Xingyu Lou, Changwang Zhang, Pengyang Zhou, Zijun Zhou, Jun Wang, Chaochao Chen:
Personalized Federated Recommendation with Multi-Faceted User Representation and Global Consistent Prototype. CIKM 2025: 2399-2408 - [c8]Xinting Liao, Weiming Liu, Jiaming Qian, Pengyang Zhou, Jiahe Xu, Wenjie Wang, Chaochao Chen, Xiaolin Zheng, Tat-Seng Chua:
FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models. ICML 2025 - [c7]Huabin Zhu, Chaochao Chen, Xinting Liao, Pengyang Zhou, Xiaolin Zheng:
Tackling Federated Long-Tailed Learning via Synthetic Feature-Based Decoupled Training. KDD (2) 2025: 4168-4179 - [c6]Pengyang Zhou, Chaochao Chen, Weiming Liu, Wenkai Shen, Xinting Liao, Huarong Deng, Zhihui Fu, Jun Wang, Wu Wen, Xiaolin Zheng:
Joint Item Embedding Dual-view Exploration and Adaptive Local-Global Fusion for Federated Recommendation. SIGIR 2025: 424-434 - [c5]Pengyang Zhou, Chaochao Chen, Weiming Liu, Xinting Liao, Fengyuan Yu, Zhihui Fu, Xingyu Lou, Wu Wen, Xiaolin Zheng, Jun Wang:
FedGF: Enhancing Structural Knowledge via Graph Factorization for Federated Graph Learning. WSDM 2025: 448-456 - [i5]Xinting Liao, Weiming Liu, Jiaming Qian, Pengyang Zhou, Jiahe Xu, Wenjie Wang, Chao-Chao Chen, Xiaolin Zheng, Tat-Seng Chua:
FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models. CoRR abs/2506.16218 (2025) - 2024
- [c4]Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Fengyuan Yu, Huabin Zhu, Binhui Yao, Tao Wang, Xiaolin Zheng, Yanchao Tan:
Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data. CVPR 2024: 22841-22850 - [c3]Xinting Liao, Weiming Liu, Pengyang Zhou, Fengyuan Yu, Jiahe Xu, Jun Wang, Wenjie Wang, Chaochao Chen, Xiaolin Zheng:
FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection. NeurIPS 2024 - [i4]Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Fengyuan Yu, Huabin Zhu, Binhui Yao, Tao Wang, Xiaolin Zheng, Yanchao Tan:
Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data. CoRR abs/2403.16398 (2024) - [i3]Xinting Liao, Weiming Liu, Pengyang Zhou, Fengyuan Yu, Jiahe Xu, Jun Wang, Wenjie Wang, Chaochao Chen, Xiaolin Zheng:
FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection. CoRR abs/2410.11397 (2024) - 2023
- [c2]Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Huabin Zhu, Yanchao Tan, Jun Wang, Yue Qi:
HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning. IJCAI 2023: 3957-3965 - [c1]Xinting Liao, Chaochao Chen, Weiming Liu, Pengyang Zhou, Huabin Zhu, Shuheng Shen, Weiqiang Wang, Mengling Hu, Yanchao Tan, Xiaolin Zheng:
Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data. ACM Multimedia 2023: 1536-1545 - [i2]Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Huabin Zhu, Yanchao Tan, Jun Wang, Yue Qi:
HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning. CoRR abs/2307.14384 (2023) - [i1]Xinting Liao, Chaochao Chen, Weiming Liu, Pengyang Zhou, Huabin Zhu, Shuheng Shen, Weiqiang Wang, Mengling Hu, Yanchao Tan, Xiaolin Zheng:
Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data. CoRR abs/2308.11646 (2023)
Coauthor Index
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