Qingxiang Liu - RankMe

22 papers A* 3Journal 17Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting. AAAI Sisuo Lyu, Siru Zhong, Weilin Ruan, Qingxiang Liu, Qingsong Wen, Hui Xiong, Yuxuan Liang
2026	J	`jnl`	Rationale-Grounded In-Context Learning for Time Series Reasoning with Multimodal Large Language Models. CoRR Qingxiang Liu, Zhiqing Cui, Xiaoliang Luo, Yuqian Wu, Zhuoyang Jiang, Huaiyu Wan, Sheng Sun, Lvchun Wang, Wei Yu, Yuxuan Liang
2026	J	`jnl`	TS-Memory: Plug-and-Play Memory for Time Series Foundation Models. CoRR Sisuo Lyu, Siru Zhong, Tiegang Chen, Weilin Ruan, Qingxiang Liu, Taiqiang Lv, Qingsong Wen, Raymond Chi-Wing Wong, Yuxuan Liang
2025	J	`jnl`	Augur: Modeling Covariate Causal Associations in Time Series via Large Language Models. CoRR Zhiqing Cui, Binwu Wang, Qingxiang Liu, Yeqiang Wang, Zhengyang Zhou, Yuxuan Liang, Yang Wang
2025	J	`jnl`	OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting. CoRR Sisuo Lyu, Siru Zhong, Weilin Ruan, Qingxiang Liu, Qingsong Wen, Hui Xiong, Yuxuan Liang
2025	A*	`conf`	Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach. AAAI Qingxiang Liu, Sheng Sun, Yuxuan Liang, Min Liu, Jingjing Xue
2025	J	`jnl`	REFOL: Resource-Efficient Federated Online Learning for Traffic Flow Forecasting. IEEE Trans. Intell. Transp. Syst. Qingxiang Liu, Sheng Sun, Yuxuan Liang, Xiaolong Xu, Min Liu, Muhammad Bilal, Yuwei Wang, Xujing Li, Yu Zheng
2024	J	`jnl`	Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation. ACM Trans. Intell. Syst. Technol. Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu, Quyang Pan, Junbo Zhang, Zeju Li, Qingxiang Liu
2024	J	`jnl`	Online Spatio-Temporal Correlation-Based Federated Learning for Traffic Flow Forecasting. IEEE Trans. Intell. Transp. Syst. Qingxiang Liu, Sheng Sun, Min Liu, Yuwei Wang, Bo Gao
2024	J	`jnl`	Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach. CoRR Qingxiang Liu, Sheng Sun, Yuxuan Liang, Jingjing Xue, Min Liu
2024	J	`jnl`	REFOL: Resource-Efficient Federated Online Learning for Traffic Flow Forecasting. CoRR Qingxiang Liu, Sheng Sun, Yuxuan Liang, Xiaolong Xu, Min Liu, Muhammad Bilal, Yuwei Wang, Xujing Li, Yu Zheng
2024	A*	`conf`	Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting. NeurIPS Qingxiang Liu, Xu Liu, Chenghao Liu, Qingsong Wen, Yuxuan Liang
2024	J	`jnl`	Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting. CoRR Qingxiang Liu, Xu Liu, Chenghao Liu, Qingsong Wen, Yuxuan Liang
2023	J	`jnl`	Online Spatio-Temporal Correlation-Based Federated Learning for Traffic Flow Forecasting. CoRR Qingxiang Liu, Sheng Sun, Min Liu, Yuwei Wang, Bo Gao
2022	J	`jnl`	Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation. CoRR Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu, Qingxiang Liu
2021	J	`jnl`	A blockchain-based computation offloading method for edge computing in 5G networks. Softw. Pract. Exp. Xiaolong Xu, Yi Chen, Xuyun Zhang, Qingxiang Liu, Xihua Liu, Lianyong Qi
2020	J	`jnl`	Customized Federated Learning for accelerated edge computing with heterogeneous task targets. Comput. Networks Hui Jiang, Min Liu, Bo Yang, Qingxiang Liu, Jizhong Li, Xiaobing Guo
2019	J	`jnl`	A Blockchain-Powered Crowdsourcing Method With Privacy Preservation in Mobile Environment. IEEE Trans. Comput. Soc. Syst. Xiaolong Xu, Qingxiang Liu, Xuyun Zhang, Jie Zhang, Lianyong Qi, Wanchun Dou
2019	J	`jnl`	A computation offloading method over big data for IoT-enabled cloud-edge computing. Future Gener. Comput. Syst. Xiaolong Xu, Qingxiang Liu, Yun Luo, Kai Peng, Xuyun Zhang, Shunmei Meng, Lianyong Qi
2019	—	`conf`	Uncertainty-Aware Resource Provisioning for Workflow Scheduling in Edge Computing Environment. TrustCom/BigDataSE Hao Cao, Xiaolong Xu, Qingxiang Liu, Yuan Xue, Lianyong Qi
2018	—	`conf`	A Heuristic Virtual Machine Scheduling Method for Load Balancing in Fog-Cloud Computing. BigDataSecurity/HPSC/IDS Xiaolong Xu, Qingxiang Liu, Lianyong Qi, Yuan Yuan, Wanchun Dou, Alex X. Liu
2018	J	`jnl`	An IoT-Oriented data placement method with privacy preservation in cloud environment. J. Netw. Comput. Appl. Xiaolong Xu, Shucun Fu, Lianyong Qi, Xuyun Zhang, Qingxiang Liu, Qiang He, Shancang Li