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2020 – today
- 2024
[j2]Leiming Chen
, Weishan Zhang, Cihao Dong, Ziling Huang, Yuming Nie, Zhaoxiang Hou, Sibo Qiao, Chee Wei Tan:
FedDRL: Trustworthy Federated Learning Model Fusion Method Based on Staged Reinforcement Learning. Comput. Informatics 43(1): 1-37 (2024)- [j1]Liang Xu, Tao Chen, Zhaoxiang Hou, Weishan Zhang, Chitin Hon, Xiao Wang, Di Wang, Long Chen, Wenyin Zhu, Yunlong Tian, Huansheng Ning, Fei-Yue Wang:
Knowledge Graph-Based Reinforcement Federated Learning for Chinese Question and Answering. IEEE Trans. Comput. Soc. Syst. 11(1): 1035-1045 (2024) - [c3]Yulan Gao, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Han Yu, Xiaoxiao Li:
The Prospect of Enhancing Large-Scale Heterogeneous Federated Learning with Foundation Models. ICME 2024: 1-6 - [c2]Zengxiang Li, Zhaoxiang Hou, Hui Liu, Tongzhi Li, Chengyi Yang, Ying Wang, Chao Shi, Longfei Xie, Weishan Zhang, Liang Xu, Zelei Liu:
Federated Learning in Large Model Era: Vision-Language Model for Smart City Safety Operation Management. WWW (Companion Volume) 2024: 1578-1585 - [i6]Shubao Zhao, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Qingsong Wen, Yi Wang:
HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling for Long-Term Forecasting. CoRR abs/2401.05012 (2024) - [i5]Xinxing Zhou, Jiaqi Ye, Shubao Zhao, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Yanlong Wen, Xiaojie Yuan:
Towards Universal Large-Scale Foundational Model for Natural Gas Demand Forecasting. CoRR abs/2409.15794 (2024) - 2023
- [c1]Chengyi Yang, Zhaoxiang Hou, Sheng Guo, Hui Chen, Zengxiang Li:
SWATM: Contribution-Aware Adaptive Federated Learning Framework Based on Augmented Shapley Values. ICME 2023: 672-677 - [i4]Leiming Chen, Cihao Dong, Sibo Qiao, Ziling Huang, Kai Wang, Yuming Nie, Zhaoxiang Hou, Chee Wei Tan:
FedDRL: A Trustworthy Federated Learning Model Fusion Method Based on Staged Reinforcement Learning. CoRR abs/2307.13716 (2023) - [i3]Yulan Gao, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Han Yu:
The Prospect of Enhancing Large-Scale Heterogeneous Federated Learning with Transformers. CoRR abs/2308.03945 (2023) - [i2]Zengxiang Li, Zhaoxiang Hou, Hui Liu, Ying Wang, Tongzhi Li, Longfei Xie, Chao Shi, Chengyi Yang, Weishan Zhang, Zelei Liu, Liang Xu:
Federated Learning in Big Model Era: Domain-Specific Multimodal Large Models. CoRR abs/2308.11217 (2023) - 2021
- [i1]Bingyang Chen, Tao Chen, Xingjie Zeng, Weishan Zhang, Qinghua Lu, Zhaoxiang Hou, Jiehan Zhou, Sumi Helal:
Feature-context driven Federated Meta-Learning for Rare Disease Prediction. CoRR abs/2112.14364 (2021)
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