Feature-context driven Federated Meta-Learning for Rare Disease Prediction. - Bingyang Chen; Tao Chen 023; Xingjie Zeng; Weishan Zhang; Qinghua Lu 001; Zhaoxiang Hou; Jiehan Zhou; Sumi Helal (CoRR, 2021)

SWATM: Contribution-Aware Adaptive Federated Learning Framework Based on Augmented Shapley Values. - Chengyi Yang; Zhaoxiang Hou; Sheng Guo; Hui Chen; Zengxiang Li (ICME, 2023)

FedDRL: A Trustworthy Federated Learning Model Fusion Method Based on Staged Reinforcement Learning. - Leiming Chen; Cihao Dong; Sibo Qiao; Ziling Huang; Kai Wang 063; Yuming Nie; Zhaoxiang Hou; Chee Wei Tan 001 (CoRR, 2023)

The Prospect of Enhancing Large-Scale Heterogeneous Federated Learning with Transformers. - Yulan Gao; Zhaoxiang Hou; Chengyi Yang; Zengxiang Li; Han Yu 001 (CoRR, 2023)

Federated Learning in Big Model Era: Domain-Specific Multimodal Large Models. - Zengxiang Li; Zhaoxiang Hou; Hui Liu; Ying Wang 086; Tongzhi Li; Longfei Xie; Chao Shi; Chengyi Yang; Weishan Zhang; Zelei Liu; Liang Xu 009 (CoRR, 2023)

HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling with Self-Distillation for Long-Term Forecasting. - Shubao Zhao; Ming Jin 005; Zhaoxiang Hou; Chengyi Yang; Zengxiang Li; Qingsong Wen; Yi Wang 022 (CIKM, 2024)

The Prospect of Enhancing Large-Scale Heterogeneous Federated Learning with Foundation Models. - Yulan Gao; Zhaoxiang Hou; Chengyi Yang; Zengxiang Li; Han Yu 001; Xiaoxiao Li (ICME, 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 086; Chao Shi; Longfei Xie; Weishan Zhang; Liang Xu 009; Zelei Liu (WWW (Companion Volume), 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 001 (Comput. Informatics, 2024)

HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling for Long-Term Forecasting. - Shubao Zhao; Ming Jin 005; Zhaoxiang Hou; Chengyi Yang; Zengxiang Li; Qingsong Wen; Yi Wang 022 (CoRR, 2024)

Towards Universal Large-Scale Foundational Model for Natural Gas Demand Forecasting. - Xinxing Zhou; Jiaqi Ye; Shubao Zhao; Ming Jin 005; Zhaoxiang Hou; Chengyi Yang; Zengxiang Li; Yanlong Wen; Xiaojie Yuan (CoRR, 2024)

Rethinking self-supervised learning for time series forecasting: A temporal perspective. - Shubao Zhao; Xinxing Zhou; Ming Jin 005; Zhaoxiang Hou; Chengyi Yang; Zengxiang Li; Qingsong Wen; Yi Wang 022; Yanlong Wen; Xiaojie Yuan (Knowl. Based Syst., 2024)

Knowledge Graph-Based Reinforcement Federated Learning for Chinese Question and Answering. - Liang Xu 009; Tao Chen 023; Zhaoxiang Hou; Weishan Zhang; Chitin Hon; Xiao Wang 002; Di Wang 003; Long Chen 001; Wenyin Zhu; Yunlong Tian; Huansheng Ning; Fei-Yue Wang 001 (IEEE Trans. Comput. Soc. Syst., 2024)

LagTS: Toward Adaptive Lag Relationship Modeling for Multivariate Time Series Forecasting. - Ciyi Liu; Jiaqi Ye; Zhenpeng Yu; Shubao Zhao; Zhaoxiang Hou; Chengyi Yang; Yanlong Wen; Xiaojie Yuan (ICASSP, 2025)

HCLTS: Mining Customers' Consumption Patterns in Natural Gas Time Series with Hierarchical Contrastive Learning. - Yuhang Niu; Jiaqi Ye; Shubao Zhao; Zhaoxiang Hou; Chengyi Yang; Zengxiang Li; Yanlong Wen; Xiaojie Yuan (ICASSP, 2025)

Zero-shot Document Retrieval with Hybrid Pseudo-document Retriever. - Dong Sun; Wenya Guo; Xumeng Liu; Ying Zhang; Zhaoxiang Hou; Zengxiang Li (ICASSP, 2025)