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Zhaoxiang Hou
ORCID
Publication Activity (10 Years)
Years Active: 2021-2024
Publications (10 Years): 9
Top Topics
Exponential Smoothing
Relational Models
Reinforcement Learning
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)