Zhaoxiang Hou

According to our database, Zhaoxiang Hou authored at least 13 papers between 2021 and 2024.

Collaborative distances:

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

2024

Knowledge Graph-Based Reinforcement Federated Learning for Chinese Question and Answering.

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

IEEE Trans. Comput. Soc. Syst., February, 2024

Rethinking self-supervised learning for time series forecasting: A temporal perspective.

Shubao Zhao, Xinxing Zhou, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Qingsong Wen, Yi Wang, Yanlong Wen, Xiaojie Yuan

Knowl. Based Syst., 2024

Towards Universal Large-Scale Foundational Model for Natural Gas Demand Forecasting.

Xinxing Zhou, Jiaqi Ye, Shubao Zhao, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Yanlong Wen, Xiaojie Yuan

CoRR, 2024

HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling for Long-Term Forecasting.

Shubao Zhao, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Qingsong Wen, Yi Wang

CoRR, 2024

FedDRL: Trustworthy Federated Learning Model Fusion Method Based on Staged Reinforcement Learning.

Leiming Chen, Weishan Zhang, Cihao Dong, Ziling Huang, Yuming Nie, Zhaoxiang Hou, Sibo Qiao, Chee Wei Tan

Comput. Informatics, 2024

Federated Learning in Large Model Era: Vision-Language Model for Smart City Safety Operation Management.

Zengxiang Li, Zhaoxiang Hou, Hui Liu, Tongzhi Li, Chengyi Yang, Ying Wang, Chao Shi, Longfei Xie, Weishan Zhang, Liang Xu, Zelei Liu

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

The Prospect of Enhancing Large-Scale Heterogeneous Federated Learning with Foundation Models.

Yulan Gao, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Han Yu, Xiaoxiao Li

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling with Self-Distillation for Long-Term Forecasting.

Shubao Zhao, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Qingsong Wen, Yi Wang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Federated Learning in Big Model Era: Domain-Specific Multimodal Large Models.

Zengxiang Li, Zhaoxiang Hou, Hui Liu, Ying Wang, Tongzhi Li, Longfei Xie, Chao Shi, Chengyi Yang, Weishan Zhang, Zelei Liu, Liang Xu

CoRR, 2023

The Prospect of Enhancing Large-Scale Heterogeneous Federated Learning with Transformers.

Yulan Gao, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Han Yu

CoRR, 2023

FedDRL: A Trustworthy Federated Learning Model Fusion Method Based on Staged Reinforcement Learning.

Leiming Chen, Cihao Dong, Sibo Qiao, Ziling Huang, Kai Wang, Yuming Nie, Zhaoxiang Hou, Chee Wei Tan

CoRR, 2023

SWATM: Contribution-Aware Adaptive Federated Learning Framework Based on Augmented Shapley Values.

Chengyi Yang, Zhaoxiang Hou, Sheng Guo, Hui Chen, Zengxiang Li

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2021

Feature-context driven Federated Meta-Learning for Rare Disease Prediction.

Bingyang Chen, Tao Chen, Xingjie Zeng, Weishan Zhang, Qinghua Lu, Zhaoxiang Hou, Jiehan Zhou, Sumi Helal

CoRR, 2021