Zhaoxiang Hou - RankMe

18 papers A 3Misc 3Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Noise-robust and sector-aware representation learning for natural gas demand forecasting. Expert Syst. Appl. Xinxing Zhou, Jiaqi Ye, Shubao Zhao, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Yanlong Wen, Xiaojie Yuan
2025	Misc	`conf`	HCLTS: Mining Customers' Consumption Patterns in Natural Gas Time Series with Hierarchical Contrastive Learning. ICASSP Yuhang Niu, Jiaqi Ye, Shubao Zhao, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Yanlong Wen, Xiaojie Yuan
2025	Misc	`conf`	LagTS: Toward Adaptive Lag Relationship Modeling for Multivariate Time Series Forecasting. ICASSP Ciyi Liu, Jiaqi Ye, Zhenpeng Yu, Shubao Zhao, Zhaoxiang Hou, Chengyi Yang, Yanlong Wen, Xiaojie Yuan
2025	Misc	`conf`	Zero-shot Document Retrieval with Hybrid Pseudo-document Retriever. ICASSP Dong Sun, Wenya Guo, Xumeng Liu, Ying Zhang, Zhaoxiang Hou, Zengxiang Li
2024	J	`jnl`	DFML: Dynamic Federated Meta-Learning for Rare Disease Prediction. IEEE Trans. Comput. Biol. Bioinform. Bingyang Chen, Tao Chen, Xingjie Zeng, Weishan Zhang, Qinghua Lu, Zhaoxiang Hou, Jiehan Zhou, Sumi Helal
2024	J	`jnl`	FedDRL: Trustworthy Federated Learning Model Fusion Method Based on Staged Reinforcement Learning. Comput. Informatics Leiming Chen, Weishan Zhang, Cihao Dong, Ziling Huang, Yuming Nie, Zhaoxiang Hou, Sibo Qiao, Chee Wei Tan
2024	—	`conf`	Federated Learning in Large Model Era: Vision-Language Model for Smart City Safety Operation Management. WWW (Companion Volume) Zengxiang Li, Zhaoxiang Hou, Hui Liu, Tongzhi Li, Chengyi Yang, Ying Wang, Chao Shi, Longfei Xie, Weishan Zhang, Liang Xu, Zelei Liu
2024	J	`jnl`	HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling for Long-Term Forecasting. CoRR Shubao Zhao, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Qingsong Wen, Yi Wang
2024	A	`conf`	HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling with Self-Distillation for Long-Term Forecasting. CIKM Shubao Zhao, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Qingsong Wen, Yi Wang
2024	J	`jnl`	Knowledge Graph-Based Reinforcement Federated Learning for Chinese Question and Answering. IEEE Trans. Comput. Soc. Syst. 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
2024	J	`jnl`	Rethinking self-supervised learning for time series forecasting: A temporal perspective. Knowl. Based Syst. Shubao Zhao, Xinxing Zhou, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Qingsong Wen, Yi Wang, Yanlong Wen, Xiaojie Yuan
2024	A	`conf`	The Prospect of Enhancing Large-Scale Heterogeneous Federated Learning with Foundation Models. ICME Yulan Gao, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Han Yu, Xiaoxiao Li
2024	J	`jnl`	Towards Universal Large-Scale Foundational Model for Natural Gas Demand Forecasting. CoRR Xinxing Zhou, Jiaqi Ye, Shubao Zhao, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Yanlong Wen, Xiaojie Yuan
2023	J	`jnl`	FedDRL: A Trustworthy Federated Learning Model Fusion Method Based on Staged Reinforcement Learning. CoRR Leiming Chen, Cihao Dong, Sibo Qiao, Ziling Huang, Kai Wang, Yuming Nie, Zhaoxiang Hou, Chee Wei Tan
2023	J	`jnl`	Federated Learning in Big Model Era: Domain-Specific Multimodal Large Models. CoRR Zengxiang Li, Zhaoxiang Hou, Hui Liu, Ying Wang, Tongzhi Li, Longfei Xie, Chao Shi, Chengyi Yang, Weishan Zhang, Zelei Liu, Liang Xu
2023	A	`conf`	SWATM: Contribution-Aware Adaptive Federated Learning Framework Based on Augmented Shapley Values. ICME Chengyi Yang, Zhaoxiang Hou, Sheng Guo, Hui Chen, Zengxiang Li
2023	J	`jnl`	The Prospect of Enhancing Large-Scale Heterogeneous Federated Learning with Transformers. CoRR Yulan Gao, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Han Yu
2021	J	`jnl`	Feature-context driven Federated Meta-Learning for Rare Disease Prediction. CoRR Bingyang Chen, Tao Chen, Xingjie Zeng, Weishan Zhang, Qinghua Lu, Zhaoxiang Hou, Jiehan Zhou, Sumi Helal