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Zhaoxiang Hou
ORCID
Publication Activity (10 Years)
Years Active: 2021-2024
Publications (10 Years): 9
2025
2016
Top Topics
2025
2016
Exponential Smoothing
2025
2016
Relational Models
2025
2016
Reinforcement Learning
2025
2016
Weather Forecasting
Top Venues
CoRR
Comput. Informatics
ICME
IEEE Trans. Comput. Soc. Syst.
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Publications
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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)
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
(2024)
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) (2024)
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) (2024)
Leiming Chen
,
Cihao Dong
,
Sibo Qiao
,
Ziling Huang
,
Kai Wang
,
Yuming Nie
,
Zhaoxiang Hou
,
Cheewei Tan
FedDRL: A Trustworthy Federated Learning Model Fusion Method Based on Staged Reinforcement Learning.
CoRR
(2023)
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
(2023)
Chengyi Yang
,
Zhaoxiang Hou
,
Sheng Guo
,
Hui Chen
,
Zengxiang Li
SWATM: Contribution-Aware Adaptive Federated Learning Framework Based on Augmented Shapley Values.
ICME
(2023)
Yulan Gao
,
Zhaoxiang Hou
,
Chengyi Yang
,
Zengxiang Li
,
Han Yu
The Prospect of Enhancing Large-Scale Heterogeneous Federated Learning with Transformers.
CoRR
(2023)
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
(2021)