Pengyang Zhou

According to our database, Pengyang Zhou authored at least 11 papers between 2021 and 2025.

Collaborative distances:

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

2025

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models.

Xinting Liao, Weiming Liu, Jiaming Qian, Pengyang Zhou, Jiahe Xu, Wenjie Wang, Chao-Chao Chen, Xiaolin Zheng, Tat-Seng Chua

CoRR, June, 2025

Spacially affordable decarbonization of coal-fired power plants via membrane-based on-site CO2 absorption: A techno-economic analysis.

Zikai Cheng, Zheng Li, Pengyang Zhou, Pei Liu

Comput. Chem. Eng., 2025

FedGF: Enhancing Structural Knowledge via Graph Factorization for Federated Graph Learning.

Pengyang Zhou, Chaochao Chen, Weiming Liu, Xinting Liao, Fengyuan Yu, Zhihui Fu, Xingyu Lou, Wu Wen, Xiaolin Zheng, Jun Wang

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

Joint Item Embedding Dual-view Exploration and Adaptive Local-Global Fusion for Federated Recommendation.

Pengyang Zhou, Chaochao Chen, Weiming Liu, Wenkai Shen, Xinting Liao, Huarong Deng, Zhihui Fu, Jun Wang, Wu Wen, Xiaolin Zheng

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

FedGOG: Federated Graph Out-of-Distribution Generalization with Diffusion Data Exploration and Latent Embedding Decorrelation.

Pengyang Zhou, Chaochao Chen, Weiming Liu, Xinting Liao, Wenkai Shen, Jiahe Xu, Zhihui Fu, Jun Wang, Wu Wen, Xiaolin Zheng

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection.

Xinting Liao, Weiming Liu, Pengyang Zhou, Fengyuan Yu, Jiahe Xu, Jun Wang, Wenjie Wang, Chaochao Chen, Xiaolin Zheng

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data.

Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Fengyuan Yu, Huabin Zhu, Binhui Yao, Tao Wang, Xiaolin Zheng, Yanchao Tan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data.

Xinting Liao, Chaochao Chen, Weiming Liu, Pengyang Zhou, Huabin Zhu, Shuheng Shen, Weiqiang Wang, Mengling Hu, Yanchao Tan, Xiaolin Zheng

CoRR, 2023

Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data.

Xinting Liao, Chaochao Chen, Weiming Liu, Pengyang Zhou, Huabin Zhu, Shuheng Shen, Weiqiang Wang, Mengling Hu, Yanchao Tan, Xiaolin Zheng

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

HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning.

Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Huabin Zhu, Yanchao Tan, Jun Wang, Yue Qi

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2021

Attention-based Neural Load Forecasting: A Dynamic Feature Selection Approach.

Jing Xiong, Pengyang Zhou, Alan Chen, Yu Zhang

CoRR, 2021